From 1bb26d924e0e2d71cd9a413b182cb7d5e132c7eb Mon Sep 17 00:00:00 2001 From: Luke Date: Thu, 9 Jan 2014 12:52:06 +0000 Subject: [PATCH] Solving issue BristolTopGroup/AnalysisSoftware/#3 --- scripts/.cvsignore | 2 - scripts/FILES.py | 153 -- scripts/QCDRateEstimation.py | 305 --- scripts/QCDShapeExtraction.py | 66 - scripts/StoRMStorageDump.py | 174 -- scripts/__init__.py | 0 scripts/combineResults.py | 79 - scripts/compareTriggersForQCDControlRegion.py | 166 -- scripts/config/__init__.py | 0 scripts/config/plotConfig.py | 17 - scripts/config/sampleSummations.py | 57 - scripts/copyNTuples.py | 43 - scripts/createPUDistribution.py | 3 - scripts/createSumsOfHistograms.py | 142 - scripts/cutFlow.C | 65 - scripts/cutFlow_C.d | 50 - scripts/data/QCD_data_mu.root | Bin 4003 -> 0 bytes scripts/data/__init__.py | 0 ...nceFactors_EPlusJets_2orMoreBtags_JSON.txt | 58 - ...ceFactors_MuPlusJets_2orMoreBtags_JSON.txt | 58 - ...ionFactors_EPlusJets_2orMoreBtags_JSON.txt | 58 - ...onFactors_MuPlusJets_2orMoreBtags_JSON.txt | 58 - ...correctionFactors_EPlusJets_0btag_JSON.txt | 2202 --------------- ...tionFactors_EPlusJets_0orMoreBtag_JSON.txt | 2202 --------------- ...correctionFactors_EPlusJets_1btag_JSON.txt | 2202 --------------- ...tionFactors_EPlusJets_1orMoreBtag_JSON.txt | 2202 --------------- ...ionFactors_EPlusJets_2orMoreBtags_JSON.txt | 2202 --------------- ...orrectionFactors_MuPlusJets_0btag_JSON.txt | 2202 --------------- ...ionFactors_MuPlusJets_0orMoreBtag_JSON.txt | 2202 --------------- ...orrectionFactors_MuPlusJets_1btag_JSON.txt | 2202 --------------- ...ionFactors_MuPlusJets_1orMoreBtag_JSON.txt | 2202 --------------- ...onFactors_MuPlusJets_2orMoreBtags_JSON.txt | 2202 --------------- scripts/data/etaAbs_ge2j_tight.root | Bin 4649 -> 0 bytes scripts/dev/__init__.py | 0 scripts/dev/roofittest.py | 32 - scripts/dev/roofittest2.py | 144 - scripts/do2DMET.C | 145 - scripts/do2DMET_C.d | 86 - scripts/do2DPlots.C | 136 - scripts/do2DPlots_C.d | 86 - scripts/eventPicker.py | 10 - .../forLuke/PFhistosForFitting_central.root | Bin 336295 -> 0 bytes .../PFhistosForFitting_met1_central.root | Bin 59101 -> 0 bytes .../PFhistosForFitting_met2_central.root | Bin 58433 -> 0 bytes .../PFhistosForFitting_met3_central.root | Bin 54944 -> 0 bytes .../PFhistosForFitting_met4_central.root | Bin 51903 -> 0 bytes .../PFhistosForFitting_met5_central.root | Bin 50914 -> 0 bytes .../PFhistosForFitting_metall_central.root | Bin 68439 -> 0 bytes scripts/forLuke/QCDetaData.root | Bin 4528 -> 0 bytes scripts/forLuke/TempFitEta.cc | 605 ---- scripts/forLuke/diffTempFit.cc | 823 ------ scripts/forLuke/pseudoExpsData.C | 684 ----- scripts/forLuke/systematicFits.cc | 808 ------ scripts/forLuke/systematicFits.py | 722 ----- scripts/forLuke/systematicFitsExp.cc | 806 ------ scripts/forLuke/systematicFits_cc.d | 84 - scripts/forLuke/tdrStyle.py | 156 -- scripts/forLuke/tdrstyle.C | 157 -- scripts/makeDiffVariablesPlots.py | 94 - scripts/makeMETplots.py | 97 - scripts/makePrettyPlots.py | 41 - scripts/measureCrossSection.py | 2422 ----------------- .../GenJetHT_vs_GenParton_1btag.png | Bin 13550 -> 0 bytes .../RecoHT_lep_met_vs_GenHT_lep_met_1btag.png | Bin 13815 -> 0 bytes .../RecoHT_lep_vs_GenHT_lep_1btag.png | Bin 13438 -> 0 bytes .../muPlusJets/RecoHT_vs_GenHT_1btag.png | Bin 13225 -> 0 bytes .../muPlusJets/RecoHT_vs_GenParton_1btag.png | Bin 13294 -> 0 bytes .../muPlusJets/RecoM3_vs_GenM3_1btag.png | Bin 11929 -> 0 bytes .../muPlusJets/RecoMET_vs_GenNu_1btag.png | Bin 10874 -> 0 bytes ...eptonic_W_pt_vs_Genleptonic_W_pt_1btag.png | Bin 12036 -> 0 bytes scripts/printCutFlow.py | 151 - scripts/printNTupleContent.py | 7 - scripts/purityAndStability_METbins.py | 199 -- scripts/purityAndStability_METbins_V0.py | 163 -- scripts/purityAndStability_METbins_old.py | 165 -- scripts/roofittest2.py | 136 - scripts/startElectronAnalysis.sh | 7 - scripts/startMeasurement.sh | 5 - scripts/tdrstyle.C | 157 -- scripts/testOutput.png | Bin 46647 -> 0 bytes scripts/tools/ColorPrinter.py | 58 - scripts/tools/CrossSectionMeasurement.py | 0 scripts/tools/ErrorCalculation.py | 3 - scripts/tools/ErrorSources.py | 14 - scripts/tools/FileUtilities.py | 27 - scripts/tools/Fitter.py | 82 - scripts/tools/Log.py | 6 - scripts/tools/NTuples.py | 7 - scripts/tools/PlottingUtilities.py | 269 -- scripts/tools/Printer.py | 0 scripts/tools/ROOTFileReader.py | 99 - scripts/tools/ROOTFileWriter.py | 8 - scripts/tools/Styles.py | 153 -- scripts/tools/Table.py | 15 - scripts/tools/Timer.py | 13 - scripts/tools/Trigger.py | 7 - scripts/tools/WPlusJetsEstimation.py | 7 - scripts/tools/__init__.py | 0 scripts/verifyNTupleProduction.py | 4 - ...workspace_electron_channel_2orMoreBtags.py | 28 - scripts_old/.cvsignore | 2 - scripts_old/EstimateQCD.py | 653 ----- scripts_old/EstimateQCD2.py | 752 ----- scripts_old/HistGetter.py | 251 -- scripts_old/HistPlotter.py | 238 -- scripts_old/PlotHelper.py | 58 - scripts_old/QCDEstimation.py | 350 --- .../QCD_ConversionControlRegion_0btag.pdf | Bin 17593 -> 0 bytes .../QCD_ConversionControlRegion_0btag.png | Bin 46132 -> 0 bytes scripts_old/__init__.py | 0 scripts_old/animate_gaus.sh | 34 - scripts_old/bTagPlots.py | 392 --- scripts_old/calculateRatio.py | 57 - scripts_old/copyGridFolder | 63 - scripts_old/deleteGridFolder | 65 - scripts_old/delete_gpfs_dir.py | 74 - scripts_old/detailed_MC_conversions.png | Bin 31979 -> 0 bytes scripts_old/diffJSON | 10 - scripts_old/fileInfo.py | 138 - scripts_old/first.png | Bin 18952 -> 0 bytes scripts_old/firstrep.png | Bin 6985 -> 0 bytes scripts_old/fit_data_Njet.py | 874 ------ scripts_old/getFileSize.py | 37 - scripts_old/getHLTSuggestion.py | 115 - scripts_old/getSkimEfficiency.py | 140 - scripts_old/getTriggerReport.py | 130 - scripts_old/inputFiles.py | 64 - scripts_old/log.terr | 28 - scripts_old/makeCutFlow.py | 193 -- scripts_old/makeHLTPlots.py | 157 -- scripts_old/makePlots.py | 810 ------ scripts_old/makeShinyPlots.py | 24 - scripts_old/mcNTuple.txt | 548 ---- scripts_old/mergeROOTFilesWithCompression.py | 140 - scripts_old/nTupleInfo.py | 136 - scripts_old/plotMttbar.py | 915 ------- scripts_old/plotQCDEstimate.py | 481 ---- scripts_old/plots/HLTStudy/index.html | 37 - scripts_old/plots/MttbarAnalysis/index.html | 37 - scripts_old/plots/allplots.py | 23 - scripts_old/plots/allplots_multi.py | 51 - scripts_old/plots/index.html | 39 - .../plots/topReconstruction/index.html | 39 - .../mttbar_withMETAndAsymJets_0orMoreBtag.png | Bin 24242 -> 0 bytes ...mttbar_withMETAndAsymJets_2orMoreBtags.png | Bin 27213 -> 0 bytes scripts_old/prescaleTableParser.py | 72 - scripts_old/printCutFlow.py | 92 - scripts_old/readMergeLog.py | 34 - scripts_old/remove_duplicates | 77 - scripts_old/remove_duplicates.py | 78 - scripts_old/rootplot_config.py | 204 -- scripts_old/rootplotmpl_config.py | 225 -- scripts_old/rootplottest.py | 35 - scripts_old/run.sh | 103 - scripts_old/run_mc.sh | 94 - scripts_old/second.png | Bin 3273 -> 0 bytes ...onIsolatedElectrons_electron_eta_0btag.pdf | Bin 15051 -> 0 bytes ...onIsolatedElectrons_electron_eta_0btag.png | Bin 23801 -> 0 bytes ...e_comparison_electron_eta_NonIso_0btag.pdf | Bin 14824 -> 0 bytes ...e_comparison_electron_eta_NonIso_0btag.png | Bin 32020 -> 0 bytes scripts_old/tdrStyle.py | 156 -- scripts_old/test.png | Bin 21685 -> 0 bytes scripts_old/test.py | 25 - scripts_old/testPyROOT.py | 53 - scripts_old/testRootPlot.py | 13 - 165 files changed, 42918 deletions(-) delete mode 100644 scripts/.cvsignore delete mode 100644 scripts/FILES.py delete mode 100644 scripts/QCDRateEstimation.py delete mode 100644 scripts/QCDShapeExtraction.py delete mode 100644 scripts/StoRMStorageDump.py delete mode 100644 scripts/__init__.py delete mode 100644 scripts/combineResults.py delete mode 100644 scripts/compareTriggersForQCDControlRegion.py delete mode 100644 scripts/config/__init__.py delete mode 100644 scripts/config/plotConfig.py delete mode 100644 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index 13771a85..00000000 --- a/scripts/.cvsignore +++ /dev/null @@ -1,2 +0,0 @@ -mc_only_18Nov10_23h14m -.cvsignore diff --git a/scripts/FILES.py b/scripts/FILES.py deleted file mode 100644 index ba9b6ac7..00000000 --- a/scripts/FILES.py +++ /dev/null @@ -1,153 +0,0 @@ -placeholder = 'SAMPLE' -pathToFiles = '/storage/TopQuarkGroup/results/histogramfiles/AN-13-015_V2' -luminosity = 5814#pb-1 -suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET.root' -JES_down_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_minusJES.root' -JES_up_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_plusJES.root' -PU_down_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_PU_65835mb.root' -PU_up_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_PU_72765mb.root' -PDFWeights_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_PDFWeights_%d.root' -BJet_down_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_minusBJet.root' -BJet_up_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_plusBjet.root' -LightJet_down_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_minusLightJet.root' -LightJet_up_suffix = 'PFElectron_PFMuon_PF2PATJets_PFMET_plusLightJet.root' - -template = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles + '/central', 'lumi':luminosity, 'suffix':suffix, 'placeholder':placeholder} -template_JES_down = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles + '/JES_down', 'lumi':luminosity, 'suffix':JES_down_suffix, 'placeholder':placeholder} -template_JES_up = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles + '/JES_up', 'lumi':luminosity, 'suffix':JES_up_suffix, 'placeholder':placeholder} -template_PU_down = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles + '/PU_down', 'lumi':luminosity, 'suffix':PU_down_suffix, 'placeholder':placeholder} -template_PU_up = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles+ '/PU_up', 'lumi':luminosity, 'suffix':PU_up_suffix, 'placeholder':placeholder} -template_PDFWeights = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles+ '/PDFWeights', 'lumi':luminosity, 'suffix':PDFWeights_suffix, 'placeholder':'TTJet'} -template_BJet_down = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles + '/BJet_down', 'lumi':luminosity, 'suffix':BJet_down_suffix, 'placeholder':placeholder} -template_BJet_up = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles+ '/BJet_up', 'lumi':luminosity, 'suffix':BJet_up_suffix, 'placeholder':placeholder} -template_LightJet_down = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles + '/LightJet_down', 'lumi':luminosity, 'suffix':LightJet_down_suffix, 'placeholder':placeholder} -template_LightJet_up = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % {'path':pathToFiles+ '/LightJet_up', 'lumi':luminosity, 'suffix':LightJet_up_suffix, 'placeholder':placeholder} - -samplesToLoad = ['SingleElectron', - 'SingleMu', - 'TTJet', - 'DY1JetsToLL', - 'DY2JetsToLL', - 'DY3JetsToLL', - 'DY4JetsToLL', - 'QCD_Pt-15to20_MuEnrichedPt5', - 'QCD_Pt-20to30_MuEnrichedPt5', - 'QCD_Pt-30to50_MuEnrichedPt5', - 'QCD_Pt-50to80_MuEnrichedPt5', - 'QCD_Pt-80to120_MuEnrichedPt5', - 'QCD_Pt-120to170_MuEnrichedPt5', - 'QCD_Pt-170to300_MuEnrichedPt5', - 'QCD_Pt-300to470_MuEnrichedPt5', - 'QCD_Pt-470to600_MuEnrichedPt5', -# 'QCD_Pt-600to800_MuEnrichedPt5', - 'QCD_Pt-800to1000_MuEnrichedPt5', - 'QCD_Pt-1000_MuEnrichedPt5', - 'QCD_Pt_20_30_BCtoE', - 'QCD_Pt_30_80_BCtoE', - 'QCD_Pt_80_170_BCtoE', - 'QCD_Pt_170_250_BCtoE', - 'QCD_Pt_250_350_BCtoE', - 'QCD_Pt_350_BCtoE', - 'QCD_Pt_20_30_EMEnriched', - 'QCD_Pt_30_80_EMEnriched', - 'QCD_Pt_80_170_EMEnriched', - 'QCD_Pt_170_250_EMEnriched', - 'QCD_Pt_250_350_EMEnriched', - 'QCD_Pt_350_EMEnriched', - 'GJets_HT-200To400', - 'GJets_HT-400ToInf', -# 'WWtoAnything', -# 'WZtoAnything', -# 'ZZtoAnything', - 'T_tW-channel', - 'T_t-channel', - 'T_s-channel', - 'Tbar_tW-channel', - 'Tbar_t-channel', - 'Tbar_s-channel', -# 'TTbarZIncl', -# 'TTbarInclWIncl', - 'W1Jet', - 'W2Jets', - 'W3Jets', - 'W4Jets' - ] -additionalSamples = [ - 'TTJets-matchingdown', - 'TTJets-matchingup', - 'TTJets-scaledown', - 'TTJets-scaleup', - 'WJets-matchingdown', - 'WJets-matchingup', - 'WJets-scaledown', - 'WJets-scaleup', - 'ZJets-matchingdown', - 'ZJets-matchingup', - 'ZJets-scaledown', - 'ZJets-scaleup' - ] - -files = {} -files_JES_down = {} -files_JES_up = {} -files_PU_down = {} -files_PU_up = {} -files_PDF_weights = {} -files_BJet_down = {} -files_BJet_up = {} -files_LightJet_down = {} -files_LightJet_up = {} - -rpl = template.replace -rpl_JES_down = template_JES_down.replace -rpl_JES_up = template_JES_up.replace -rpl_PU_down = template_PU_down.replace -rpl_PU_up = template_PU_up.replace -rpl_BJet_down = template_BJet_down.replace -rpl_BJet_up = template_BJet_up.replace -rpl_LightJet_down = template_LightJet_down.replace -rpl_LightJet_up = template_LightJet_up.replace - -for sample in samplesToLoad: - files[sample] = rpl(placeholder, sample) - files_JES_down[sample] = rpl_JES_down(placeholder, sample) - files_JES_up[sample] = rpl_JES_up(placeholder, sample) - files_PU_down[sample] = rpl_PU_down(placeholder, sample) - files_PU_up[sample] = rpl_PU_up(placeholder, sample) - files_BJet_down[sample] = rpl_BJet_down(placeholder, sample) - files_BJet_up[sample] = rpl_BJet_up(placeholder, sample) - files_LightJet_down[sample] = rpl_LightJet_down(placeholder, sample) - files_LightJet_up[sample] = rpl_LightJet_up(placeholder, sample) - -for sample in additionalSamples: - files[sample] = rpl(placeholder, sample) - -for sample in ['POWHEG', 'MCatNLO']: - formatting = {'path':pathToFiles + '/central', 'lumi':luminosity, 'suffix':'PFElectron_PFMuon_PF2PATJets_PFMET_%s.root'%sample, 'placeholder':'TTJet'} - files[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - files_JES_down[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - files_JES_up[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - files_PU_down[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - files_PU_up[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - files_BJet_down[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - files_BJet_up[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - files_LightJet_down[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - files_LightJet_up[sample] = '%(path)s/%(placeholder)s_%(lumi)dpb_%(suffix)s' % formatting - -for index in range(1,45): - files_PDF_weights['TTJet_%d' % index] = template_PDFWeights % index - -#data is the same for: -files_PU_down['SingleElectron'] = files['SingleElectron'] -files_PU_up['SingleElectron'] = files['SingleElectron'] -files_BJet_down['SingleElectron'] = files['SingleElectron'] -files_BJet_up['SingleElectron'] = files['SingleElectron'] -files_LightJet_down['SingleElectron'] = files['SingleElectron'] -files_LightJet_up['SingleElectron'] = files['SingleElectron'] -#muon channel -files_PU_down['SingleMu'] = files['SingleMu'] -files_PU_up['SingleMu'] = files['SingleMu'] -files_BJet_down['SingleMu'] = files['SingleMu'] -files_BJet_up['SingleMu'] = files['SingleMu'] -files_LightJet_down['SingleMu'] = files['SingleMu'] -files_LightJet_up['SingleMu'] = files['SingleMu'] diff --git a/scripts/QCDRateEstimation.py b/scripts/QCDRateEstimation.py deleted file mode 100644 index bf65db73..00000000 --- a/scripts/QCDRateEstimation.py +++ /dev/null @@ -1,305 +0,0 @@ -''' -Created on Nov 23, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch - -Different methods are available: -- ABCD method (takes 2D histogram) -- Matrix method (takes 1D histogram) -- RelISo method (takes 1D histogram) - -Output consists of an estimated number of events and error -''' -from __future__ import division -from math import sqrt -import tools.ROOTFileReader as FileReader -import tools.PlottingUtilities as plotting -import FILES -try: - from uncertainties import ufloat - from uncertainties import umath -except: - print "Could not find uncertainties package, please install for full functionality" - print 'http://packages.python.org/uncertainties/' - ufloatEnabled = False -from ROOT import Double -DEBUG = False -allMC = ['TTJet', 'DYJetsToLL', 'QCD_Pt-20to30_BCtoE', 'QCD_Pt-30to80_BCtoE', - 'QCD_Pt-80to170_BCtoE', 'QCD_Pt-20to30_EMEnriched', 'QCD_Pt-30to80_EMEnriched', - 'QCD_Pt-80to170_EMEnriched', 'GJets_HT-40To100', 'GJets_HT-100To200', - 'GJets_HT-200', 'WWtoAnything', 'WZtoAnything', 'ZZtoAnything', 'T_tW-channel', - 'T_t-channel', 'T_s-channel', 'Tbar_tW-channel', 'Tbar_t-channel', - 'Tbar_s-channel', 'W1Jet', 'W2Jets', 'W3Jets', 'W4Jets' - ] -qcd = ['QCD_Pt-20to30_BCtoE', 'QCD_Pt-30to80_BCtoE', - 'QCD_Pt-80to170_BCtoE', 'QCD_Pt-20to30_EMEnriched', 'QCD_Pt-30to80_EMEnriched', - 'QCD_Pt-80to170_EMEnriched', 'GJets_HT-40To100', 'GJets_HT-100To200', - 'GJets_HT-200'] -btag_latex = { - '0orMoreBtag':'$ \geq 0$ b-tags', - '0btag':'0 b-tag', - '1btag':'1 b-tag', - '2orMoreBtags':'$\geq 2$ b-tags' - } -#relIso method is overestimating by 45% -defaultHistogram = 'TTbarEplusJetsPlusMetAnalysis/Ref selection/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03_0orMoreBtag' -relIsoBias = 0.0 - -def estimateQCDWithRelIso(inputFiles, histogramForEstimation=defaultHistogram, function='expo', - fitRange=(0.3, 1.6), fitRangesForSystematics=[(0.2, 1.6), (0.4, 1.6)]): - inputFile = inputFiles['SingleElectron'] - if DEBUG: - print '*' * 120 - print "Estimating QCD using a fit to RelIso" - print 'Input file = ', inputFile - print 'Histogram = ', histogramForEstimation - print 'Fit function = ', function - print 'Fit range = ', fitRange - print 'Fit ranges for systematics = ', fitRangesForSystematics - print '*' * 120 - histogramForEstimation = FileReader.getHistogramFromFile(histogramForEstimation, inputFile) - result = relIsoMethodWithSystematics(histogramForEstimation, function, fitRange=fitRange, fitRangesForSystematics=fitRangesForSystematics, - applyBiasCorrection=True) - - return result - -def relIsoMethodWithSystematics(histogramForEstimation=defaultHistogram, function='expo', - fitRange=(0.3, 1.6), fitRangesForSystematics=[(0.2, 1.6), (0.4, 1.6)], applyBiasCorrection=True): - - centralResult = relIsoMethod(histogramForEstimation, function, fitRange=fitRange) - centralEstimate, centralAbsoluteError = centralResult['estimate'], centralResult['absoluteError'] - absoluteStatisticError = centralAbsoluteError - centralRelativeError = 0 - if not centralEstimate == 0: - centralRelativeError = centralAbsoluteError / centralEstimate - centralRelativeErrorSquared = centralRelativeError ** 2 - - #systematic errors - systematicErrorFromOtherFitRangesSquared = 0 - for currentRange in fitRangesForSystematics: - currentResult = relIsoMethod(histogramForEstimation, function, fitRange=currentRange) - currentEstimate, err = currentResult['estimate'], currentResult['absoluteError'] - deviation = currentEstimate - centralEstimate - if not centralEstimate == 0: - systematicErrorFromOtherFitRangesSquared += (deviation / centralEstimate) ** 2 - - centralRelativeErrorSquared += systematicErrorFromOtherFitRangesSquared - relativeSytematicErrorSquared = systematicErrorFromOtherFitRangesSquared - - relativeErrorFromBiasCorrection = 0 - if applyBiasCorrection: - reductionFromBias = 1 - relIsoBias - centralEstimate = centralEstimate * reductionFromBias - relativeErrorFromBiasCorrection = relIsoBias - - centralRelativeErrorSquared += relativeErrorFromBiasCorrection ** 2 - relativeSytematicErrorSquared += relativeErrorFromBiasCorrection ** 2 - - absoluteSystematicError = sqrt(relativeSytematicErrorSquared) * centralEstimate - centralAbsoluteError = sqrt(absoluteSystematicError ** 2 + absoluteStatisticError ** 2) -# absoluteStatisticError = centralRelativeError * centralEstimate - result = { - 'estimate':centralEstimate, - 'absoluteError': centralAbsoluteError, - 'absoluteSystematicError': absoluteSystematicError, - 'absoluteStatisticError': absoluteStatisticError, - 'fit':centralResult['fit']} - return result - -def relIsoMethod(histogramForEstimation, function='expo', - fitRange=(0.3, 1.6), signalRegion=(0., 0.1)): - - histogramForEstimation = histogramForEstimation.Clone('tmp') - - #investigate them - binWidthOfOriginalHistoram = 0.01 - rebinOfOriginalHistogram = 10 - - estimate = 0 - relativeErrorSquared = 0 - histogramForEstimation.Rebin(rebinOfOriginalHistogram) - - fit = None - fit = performFit(histogramForEstimation, function, fitRange) - if fit: - estimate = fit.Integral(signalRegion[0], signalRegion[1]) / (binWidthOfOriginalHistoram * rebinOfOriginalHistogram) - for parErr in range(0, fit.GetNumberFreeParameters()): - par = fit.GetParameter(parErr) - err = fit.GetParError(parErr) - if not par == 0: - relativeErrorSquared += (err / par) ** 2 - - result = {'estimate': estimate, - 'absoluteError':sqrt(relativeErrorSquared) * estimate, - 'relativeError':sqrt(relativeErrorSquared), - 'fit':fit} - return result - -def performFit(histogram, function, fitRange): - histogram = histogram.Clone('fitting') - numberOfFreeParameters = -1 - fit = None - - histogram.Fit(function, "Q0", "ah", fitRange[0], fitRange[1]) - fit = histogram.GetFunction(function) - if fit: - return fit.Clone() - else: - return None - -#Estimate the bias on MC only -def getRelIsoCalibrationCurve(inputFiles, histogramForEstimation=defaultHistogram, function='expo', - fitRanges=[(0.2, 1.6), (0.3, 1.6), (0.4, 1.6)]): - if DEBUG: - print '*' * 120 - print "Estimating QCD using a fit to RelIso" - print 'Input files = ', inputFiles - print 'Histogram = ', histogramForEstimation - print 'Fit function = ', function - print 'Fit ranges = ', fitRanges - print '*' * 120 - #get histograms - #instead of data use sum MC - -def doPerformanceStudyOnMCOnly(inputFiles, - histogramForEstimation=defaultHistogram, - function='expo', - fitRanges=[(0.2, 1.6), (0.3, 1.6), (0.4, 1.6)]): - if DEBUG: - print '*' * 120 - print "Estimating QCD using a fit to RelIso" - print 'Histogram = ', histogramForEstimation - print 'Fit functions = ', function - print 'Fit ranges = ', fitRanges - print '*' * 120 - #get histograms - histograms = FileReader.getHistogramDictionary(histogramForEstimation, inputFiles) - global allMC, qcd - - histograms['SumMC'] = plotting.sumSamples(histograms, allMC) - - histograms['QCD'] = plotting.sumSamples(histograms, qcd) - -# qcdInSignalRegion = histograms['QCD'].Integral() -# qcdError = 0 -# if not qcdInSignalRegion == 0: -# qcdError = qcdInSignalRegion / sqrt(qcdInSignalRegion) - import copy - results = {} - qcdInSignalRegion, qcdError = getIntegral(histograms['QCD'], (0, 0.1)) -# getRelIsoCalibrationCurve(inputFiles, histogramForEstimation, function, fitRanges) - for fitRange in fitRanges: - #take all other fit ranges as systematics - fitRangesForSystematics = copy.deepcopy(fitRanges) - fitRangesForSystematics.remove(fitRange) - #instead of data use sum MC - resultFromMethod = relIsoMethodWithSystematics(histograms['SumMC'], function, fitRange, fitRangesForSystematics, False) - estimate, absoluteError = resultFromMethod['estimate'], resultFromMethod['absoluteError'] - N_est = ufloat((estimate, absoluteError)) - N_qcd = ufloat((qcdInSignalRegion, qcdError)) - relativeDeviation = N_est / N_qcd - - result = {} - result['performance'] = (relativeDeviation.nominal_value, relativeDeviation.std_dev()) - result['estimate'] = (estimate, absoluteError) - result['qcdInSignalRegion'] = (qcdInSignalRegion, qcdError) - result['fitfunction'] = function - result['fitRange'] = fitRange - result['fitRangesForSystematics'] = fitRangesForSystematics - result['fit'] = resultFromMethod['fit'] - results[str(fitRange)] = result - return results - -def printPerformanceResults(btag_results, btagBins): - print 'function, range & $N_{est,\,QCD}^{data}$ & $N_{true,\,QCD}^{MC}$ & $f_{est./true}$ \\\\' - for btag in btagBins: - print '\hline' - results = btag_results[btag] - print '%s & & & \\\\' % btag_latex[btag] - print '\hline' - for fitrange, result in results.iteritems(): - N_qcd, N_qcd_error = result['qcdInSignalRegion'] - est, err = result['estimate'] - performance, performanceError = result['performance'] - format = (result['fitfunction'], str(result['fitRange']), N_qcd, N_qcd_error, est, err, performance, performanceError) - print '%s, %s & $%.0f \pm %.0f$ & $%.0f \pm %.0f$ & $ %.3f \pm %.3f$ \\\\' % format - -def getIntegral(histogram, integralRange=(0, 0.1)): - firstBin = histogram.GetXaxis().FindBin(integralRange[0]) - lastBin = histogram.GetXaxis().FindBin(integralRange[1]) - - integral = 0 - absoluteError = Double(0) - integral = histogram.IntegralAndError(firstBin, lastBin, absoluteError) - - return integral, absoluteError - -def printResults(results, btagBins): - header = "region & $N_{est,\,QCD}^{MC}$ & $N_{est,\,QCD}^{data}$ &" - header += "$\\frac{(data - MC(QCD^{MC}))}{data}$ &" - header += "$\\frac{(data -MC(QCD^{data}))}{data}$ \\\\" - print header - print '\hline' - rowTemplate = "%s & $%.0f \pm %.0f$ & " - rowTemplate += "$%.0f \pm %.0f$ (stat.) $\pm %.0f$ (syst.) &" - rowTemplate += "%s & %s \\\\" - global btag_latex - for btag in btagBins: - result = results[btag] - ndata = result['N_data'] - nQCD = result['N_QCD'] - nSumMC = result['N_SumMC'] - nSumMC_QCDFromData = nSumMC - nQCD + result['estimate'] - data_MC_diff = (ndata - nSumMC) / ndata * 100 - data_MC_diff_QCDFromData = (ndata - nSumMC_QCDFromData) / ndata * 100 - result['data-MC(QCDFromMC)'] = data_MC_diff - result['data-MC(QCDFromData)'] = data_MC_diff_QCDFromData - formatting = (btag_latex[btag], result['N_QCD'], result['N_QCD_Error'], result['estimate'], - result['absoluteStatisticError'], result['absoluteSystematicError'], - ('%.2f' % data_MC_diff) + '\%', ('%.2f' % data_MC_diff_QCDFromData) + '\%') - print rowTemplate % formatting - -def plotFits(results): - pass - -def getStuff(histogramForEstimation, inputFiles): - histograms = FileReader.getHistogramDictionary(histogramForEstimation, inputFiles) - global allMC, qcd - - histograms['SumMC'] = plotting.sumSamples(histograms, allMC) - - histograms['QCD'] = plotting.sumSamples(histograms, qcd) - qcdInSignalRegion, qcdError = getIntegral(histograms['QCD'], (0, 0.1)) - data, dataError = getIntegral(histograms['SingleElectron'], (0, 0.1)) - sumMC, sumMCError = getIntegral(histograms['SumMC'], (0, 0.1)) - result = { - 'N_data': data, - 'N_QCD': qcdInSignalRegion, - 'N_QCD_Error': qcdError, - 'N_SumMC': sumMC - } - return result - -if __name__ == '__main__': - btagBins = [ - '0orMoreBtag', - '0btag', - '1btag', - '2orMoreBtags' - ] - - - histBase = 'TTbar_plus_X_analysis/EPlusJets/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03_%s' - results = {} - mcresults = {} - for btag in btagBins: - hist = histBase % btag - results[btag] = estimateQCDWithRelIso(FILES.files, histogramForEstimation=hist) - results[btag].update(getStuff(hist, FILES.files)) - mcresults[btag] = doPerformanceStudyOnMCOnly(FILES.files, hist, function='expo') - print - printResults(results, btagBins) - print - printPerformanceResults(mcresults, btagBins) diff --git a/scripts/QCDShapeExtraction.py b/scripts/QCDShapeExtraction.py deleted file mode 100644 index 6b8a128f..00000000 --- a/scripts/QCDShapeExtraction.py +++ /dev/null @@ -1,66 +0,0 @@ -''' -Created on Nov 23, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' - -import ROOTFileReader as reader - -def getQCDShape(file, histname, histnameForSystematics, rebin=1, suffix=''): - errors = None - if not suffix == '': - histogramForShape = histname + '_' + suffix - histogramForComparison = histnameForSystematics + '_' + suffix - histogramForShape = reader.getHistogramFromFile(histogramForShape, file) - histogramForComparison = reader.getHistogramFromFile(histogramForComparison, file) - #sum weights for correct error calculation - histogramForShape.Sumw2() - histogramForComparison.Sumw2() - #rebin - histogramForShape.Rebin(rebin) - histogramForComparison.Rebin(rebin) - #get normalisation - nShape = histogramForShape.Integral() - nCompare = histogramForComparison.Integral() - - -def getShapeErrorHistogram(files, - histogramForShape='topReconstruction/backgroundShape/mttbar_conversions_withMETAndAsymJets', - histogramForComparison='topReconstruction/backgroundShape/mttbar_antiIsolated_withMETAndAsymJets', - rebin=1, - suffix=''): - - errors = None - -# for suffix in suffixes: -# if suffix in histname: - if not suffix == '': - histogramForShape = histogramForShape + '_' + suffix - histogramForComparison = histogramForComparison + '_' + suffix - - hists = [histogramForShape, histogramForComparison] - hists = getHistsFromFiles(hists, files) - histogramForShape = hists['data'][histogramForShape] - histogramForComparison = hists['data'][histogramForComparison] - histogramForShape.Sumw2() - histogramForComparison.Sumw2() - - histogramForShape.Rebin(rebin) - histogramForComparison.Rebin(rebin) - - nShape = histogramForShape.Integral() - nCompare = histogramForComparison.Integral() - - if nShape > 0 and nCompare > 0: - histogramForShape.Scale(1 / nShape) - histogramForComparison.Scale(1 / nCompare) - - errors = histogramForShape.Clone('ShapeErrors') - errors.Add(histogramForComparison, -1)#subtraction - for bin in range(1, errors.GetNbinsX()): - errors.SetBinContent(bin, fabs(errors.GetBinContent(bin))) - errors.Divide(histogramForShape) - - return errors diff --git a/scripts/StoRMStorageDump.py b/scripts/StoRMStorageDump.py deleted file mode 100644 index cbf70540..00000000 --- a/scripts/StoRMStorageDump.py +++ /dev/null @@ -1,174 +0,0 @@ -#!/usr/bin/python - -''' -StorageDump v2.0 -author: Iban Cabrillo -''' - -import os -import sys -#import urllib -#import urllib2 -import datetime -import subprocess -#from xml.dom import minidom - - -def get_local_cksum(surl, lfn, alder_path, modify = False): - ''' - Get the cksum store at local file level. If the file has no cksum value we should calc it. - ''' - #Look for the adler32 value - output, error = subprocess.Popen(['getfattr', '--only-values', '--absolute-names', '-n', 'user.storm.checksum.adler32', surl], - stderr=subprocess.PIPE, stdout=subprocess.PIPE).communicate() - cksum = 'N/A' - - if len(output) == 0: - print "No checksum value found for file %s. Processing..." % lfn - try: - #Calc the adler32 value - adler32, error = subprocess.Popen([adler_path, surl], stderr=subprocess.PIPE, stdout=subprocess.PIPE).communicate() - cksum = adler32.rstrip('\n').lstrip('0') - except OSError: - print 'Could not calculate cksum:', error - - # Delete the \n on the right and the 0's on the left to be the same adler32 format that is stored by the phedex API - # and set the adler32 value for the file. - if modify: - try: - setadler32, error = subprocess.Popen(['setfattr', '-n', 'user.storm.checksum.adler32', '-v', cksum, surl], - stderr=subprocess.PIPE, stdout=subprocess.PIPE).communicate() - except OSError: - print 'Could not set extra attribute for cksum:', error - - print "Calculated cksum:", cksum - else: - cksum = output.rstrip('\n') - - return cksum - -def get_local_timestamp(surl, lfn, modify = False): - ''' - Get the mtime store for local file as extra attribute. If the file has no this - value stored we calc it. - ''' - #Look for the adler32 value - output, error = subprocess.Popen(['getfattr', '--only-values', '--absolute-names', '-n', 'user.timestamp', surl], - stderr=subprocess.PIPE, stdout=subprocess.PIPE).communicate() - timestamp = 0 - if len(output) == 0: - print "No timestamp value found for file %s. Processing..." % lfn - #Calc de timestamp value - timestamp = str(os.stat(surl).st_ctime).rstrip('\n') - - if modify: - try: - # Set the timstamp value for the file. - settimestamp, error = subprocess.Popen(['setfattr', '-n', 'user.timestamp', '-v', timestamp, surl], - stderr=subprocess.PIPE, stdout=subprocess.PIPE).communicate() - except OSError: - print 'Could not set extra attribute for timestamp:', error - - print "Calculated timestamp:", timestamp - else: - timestamp = output.rstrip('\n') - - return timestamp - - -def get_local_size(surl, lfn, modify = False): - ''' - Get the size of local file from extra attribute. If the file has no value stored we calculate it. - ''' - #Look for the adler32 value - output, error = subprocess.Popen(['getfattr', '--only-values', '--absolute-names', '-n', 'user.size', surl], - stderr=subprocess.PIPE, stdout=subprocess.PIPE).communicate() - size = 0 - if len(output) == 0: - print "No size value found as extra attribute for file %s. Processing..." % lfn - - #Calculate the timestamp value - size = str(os.stat(surl).st_size).rstrip('\n') - if modify: - try: - # Set the timestamp value for the file. - setsize, error = subprocess.Popen(['setfattr', '-n', 'user.size', '-v', size, surl], stderr=subprocess.PIPE, - stdout=subprocess.PIPE).communicate() - except OSError: - print 'Could not set extra attribute for size', error - print "Calculated size:", size - else: - size = output.rstrip('\n') - return size - -def print_storage_dump(lfn, size, ctime, cksum): - ''' - Create a file with keys: lfn, size, timestamp, cksum - ''' - - f = open(DumpFile, 'a') - line = '%s|%s|%s|%s\n' % (lfn, size, ctime, cksum) - f.write(line) - - -def getopts(): - ''' - Get the command line arguments - ''' - - from optparse import OptionParser - - parser = OptionParser() - parser.add_option('--localpath', '-p', action='store', - type='string', dest='localpath', default='/gpfs/csic_projects/cms/', - help='Local prefix to your file system to complete the plfn' - ) - - parser.add_option('--dumpfilepath', '-l', action='store', - type='string', dest='dumpfilepath', default='~/', - help='Path where the file with the lfns will be written') - (opt, arg) = parser.parse_args() - return opt - -if __name__ == '__main__': -###########################Globals################################ - #Path to file where the lfns will be written - DumpFile = 'DumpFile_%s.log' % datetime.date.today() -################################################################## - cmsdir = '/gpfs_phys/storm/cms/' - adler_path = 'adler32/calc_adler32.py' - #bristol - alder_path = '/opt/g/ui/3.2.5-0/d-cache/srm/bin/adler32' - - - - try: - myargs = getopts() - cmsdir = myargs.localpath - dumpfilepath = myargs.dumpfilepath - if not dumpfilepath.endswith('/'): - dumpfilepath += '/' - DumpFile = dumpfilepath + 'DumpFile_%s.log' % datetime.date.today() - - except KeyError: - print "missing some mandatory parameters, please run " - sys.exit() - - try: - for tupla in os.walk(cmsdir): - if tupla[2]: - for file in tupla[2]: - surl = tupla[0] + '/' + file - lfn = surl.replace(cmsdir, '') - try: - size = get_local_size(surl, lfn) - timestamp = get_local_timestamp(surl, lfn) - cksum = get_local_cksum(surl, lfn, adler_path) - - print_storage_dump(lfn, size, timestamp, cksum) - except OSError: - print "Uknown error occured" - - except IndexError: - print "The file doesn't exits" - pass diff --git a/scripts/__init__.py b/scripts/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/scripts/combineResults.py b/scripts/combineResults.py deleted file mode 100644 index 52e6e120..00000000 --- a/scripts/combineResults.py +++ /dev/null @@ -1,79 +0,0 @@ -''' -Created on Aug 3, 2012 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' -from __future__ import division -from data.results import * -from scipy.misc.common import comb -from math import sqrt - -error_correlations = { - 'stat error': 0, - 'lumi_down': 0, - 'lumi_up': 0, - } - - -def combine(result1, result2, errors1, errors2):#errors have to be relative!! - #absolute errors - totalErrors1 = getTotalError(errors1) - totalErrors2 = getTotalError(errors2) - - numerator = result1 / pow(totalErrors1['total'], 2) + result2 / pow(totalErrors2['total'], 2) - denominator = 1. / pow(totalErrors1['total'], 2) + 1 / pow(totalErrors2['total'], 2) - combinedResult = numerator / denominator - - inverseSumUpErrors = 1. / pow(totalErrors1['up'], 2) + 1 / pow(totalErrors2['up'], 2) - inverseSumDownErrors = 1. / pow(totalErrors1['down'], 2) + 1 / pow(totalErrors2['down'], 2) - combinedUpError = sqrt(1. / inverseSumUpErrors) - combinedDownError = sqrt(1. / inverseSumDownErrors) - - errorNames = list(set(errors1.keys() + errors2.keys())) - sumOfInverseErrors = 0 - for errorName in errorNames: - correlation = 0 - if error_correlations.has_key(errorName): - correlation = error_correlations[errorName] - error = 0 - if errorName in errors1.keys() and errorName in errors2.keys() and not correlation == 0: - error = 1. / pow(errors1[errorName], 2) + 1 / pow(errors2[errorName], 2) + 1 / (2*pow(errors1[errorName] * errors2[errorName] * correlation, 2)) - elif errorName in errors1.keys() and errorName in errors2.keys() and correlation == 0: - error = 1. / pow(errors1[errorName], 2) + 1 / pow(errors2[errorName], 2) - elif errorName in errors1.keys() and not errorName in errors2.keys(): - error = 1. / pow(errors1[errorName], 2) - elif not errorName in errors1.keys() and errorName in errors2.keys(): - error = 1. / pow(errors2[errorName], 2) - sumOfInverseErrors += error - - return combinedResult, combinedUpError, combinedDownError, sqrt(1 / sumOfInverseErrors) - - -def getTotalError(errors): - totalUp = 0 - totalDown = 0 - for name, error in errors.iteritems(): - if error > 0: - totalUp += error ** 2 - else: - totalDown += error ** 2 - total = totalUp + totalDown - total = sqrt(total) - totalUp = sqrt(totalUp) - totalDown = sqrt(totalDown) - return {'up':totalUp, 'down':totalDown, 'total':total} - -def combineErrors(errors1, errors2): - pass - -if __name__ == "__main__": - #testing - result1 = 2 - result2 = 5 - errors1 = {'stat error': 0.5, 'lumi_down':-0.5, 'lumi_up': 0.5} - errors2 = {'stat error': 0.5, 'lumi_down':-0.5, 'lumi_up': 0.5} - combination = combine(result1, result2, errors1, errors2) - print combination - diff --git a/scripts/compareTriggersForQCDControlRegion.py b/scripts/compareTriggersForQCDControlRegion.py deleted file mode 100644 index 40def1f4..00000000 --- a/scripts/compareTriggersForQCDControlRegion.py +++ /dev/null @@ -1,166 +0,0 @@ -#Step 1: get histograms of the distribution you are interested in -#Step 2: Pass the distributions with starting values to RooFit -#Step 3: ??? -#Step 4: Profit - -import FILES -import tools.ROOTFileReader as FileReader -import tools.PlottingUtilities as plotting -from ROOT import * -gROOT.SetBatch(True) -gROOT.ProcessLine('gErrorIgnoreLevel = 5001;') - - -availableSamples = FILES.samplesToLoad -files = {'SingleElectron': '/home/kreczko/Workspace/Analysis/AnalysisTools/ElectronHad_2752.4pb_PFElectron_PFMuon_PF2PATJets_PFMET_193834-194225.root'} -#folder where the plots will be placed -outputFolder = '/storage/results/plots/HLTQCDAnalysis/193834-194225/inclusive' -#outputFolder = '/storage/results/plots/HLTQCDAnalysis/194270-195396/inclusive' -outputFormats = [ - 'png', - #'pdf' - ] - -variables = [ - 'electron_pT', - 'electron_eta', - 'electron_phi', - "electron_pfIsolation_03_0orMoreBtag", - "electron_pfIsolation_04_0orMoreBtag", - "electron_pfIsolation_05_0orMoreBtag", - "electron_dPhi_in", - "electron_dEta_in", - "electron_HadOverEM", - "electron_mvaTrigV0", - "electron_mvaNonTrigV0", - "electron_dB", -'electron_sigma_ietaieta' - ] - -triggers = [ - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralPFNoPUJet30', - 'HLT_Ele25_CaloIdVT_CaloIsoVL_TrkIdVL_TrkIsoT_TriCentralPFNoPUJet30', - 'HLT_Ele25_CaloIdVL_CaloIsoT_TrkIdVL_TrkIsoT_TriCentralPFNoPUJet30', - 'HLT_Ele25_CaloIdVT_TrkIdT_TriCentralPFNoPUJet30', - ] - -limits = { - 'electron_pT':(0, 200), - 'electron_eta':(-3, 3), - 'electron_phi':(-4, 4), - "electron_pfIsolation_03_0orMoreBtag":(0, 2), - "electron_pfIsolation_04_0orMoreBtag":(0, 2), - "electron_pfIsolation_05_0orMoreBtag":(0, 2), - "electron_dPhi_in":(-0.2, 0.2), - "electron_dEta_in":(-0.02, 0.02), - "electron_HadOverEM":(0, 0.2), - "electron_mvaTrigV0":(-1.1, 1.1), - "electron_mvaNonTrigV0":(-1.1, 1.1), - "electron_dB":(0, 0.05), - 'electron_sigma_ietaieta':(0, 0.05) - } - -rebins = { - 'electron_pT':5, - 'electron_eta':10, - 'electron_phi':10, - "electron_pfIsolation_03_0orMoreBtag":5, - "electron_pfIsolation_04_0orMoreBtag":5, - "electron_pfIsolation_05_0orMoreBtag":5, - "electron_dPhi_in":1, - "electron_dEta_in":1, - "electron_HadOverEM":1, - "electron_mvaTrigV0":5, - "electron_mvaNonTrigV0":5, - "electron_dB":1, - 'electron_sigma_ietaieta':1 - } - -titles = { - 'electron_pT':'Events/(5 GeV)', - 'electron_eta':'Events/(0.5)', - 'electron_phi':'Events/(0.5)', - "electron_pfIsolation_03_0orMoreBtag":'Events/(0.05)', - "electron_pfIsolation_04_0orMoreBtag":'Events/(0.05)', - "electron_pfIsolation_05_0orMoreBtag":'Events/(0.05)', - "electron_dPhi_in":'Events/(0.01)', - "electron_dEta_in":'Events/(0.001)', - "electron_HadOverEM":'Events/(0.01)', - "electron_mvaTrigV0":'Events/(0.05)', - "electron_mvaNonTrigV0":'Events/(0.05)', - "electron_dB":'Events/(0.001 cm)', - 'electron_sigma_ietaieta':'Events/(0.001)' - } - -histograms = ['HLTQCDAnalyser_inclusive/' + trigger + '/' + variable for variable in variables for trigger in triggers] - -hists = FileReader.getHistogramsFromFiles(histograms, files) -plotting.setStyle() -for variable in variables: - hists = plotting.rebin(hists, rebins[variable], '*' + variable) - hists = plotting.setXRange(hists, limits=limits[variable], histname='*' + variable) - hists = plotting.setYTitle(hists, title=titles[variable], histname='*' + variable) - -labels = [ - 'CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT', - 'CaloIdVT_CaloIsoVL_TrkIdVL_TrkIsoT', - 'CaloIdVL_CaloIsoT_TrkIdVL_TrkIsoT', - 'CaloIdVT_TrkIdT' - ] - -styles = [ - {'color': kBlack, 'fill': 1001}, - {'color': kRed, 'fill': 3004}, - {'color': kBlue, 'fill': 1001}, - {'color': kGreen + 3, 'fill': 1001}, - ] - -electron_pT = [] -electron_eta = [] -electron_phi = [] -maxfactor = 1.3 -for variable in variables: - compare = [] - app = compare.append - for hist in histograms: - if variable in hist: - app(hists['SingleElectron'][hist]) - if 'Isolation' in variable: - maxfactor = 2 - elif 'mvaTrigV0' in variable: - maxfactor = 1.5 - else: - maxfactor = 1.3 - canvas, legend = plotting.compareShapes(compare, labels, styles, maxfactor) - legend.Draw() - plotting.saveAs(canvas, variable, outputFormats=outputFormats, outputFolder=outputFolder) - -#MET plots -variables = [ - 'MET_0btag', - 'MET_0orMoreBtag', - 'Transverse_Mass_MET20_0orMoreBtag', - 'Transverse_Mass_0orMoreBtag' - ] -selections = ['QCDAntiID', 'QCDNonIso'] -histograms = ['HLTQCDAnalyser_inclusive/' + selection + '/' + trigger + '/patMETsPFlow/' + variable for variable in variables for trigger in triggers for selection in selections] -hists = FileReader.getHistogramsFromFiles(histograms, files) -hists = plotting.rebin(hists, 5, '*MET_') -hists = plotting.rebin(hists, 5, '*Transverse_Mass') -hists = plotting.setYTitle(hists, title="events/5 GeV", histname='*MET_') -hists = plotting.setYTitle(hists, title="events/5 GeV", histname='*Transverse_Mass') -hists = plotting.setXRange(hists, limits=(0, 100), histname='*MET_') -hists = plotting.setXRange(hists, limits=(0, 120), histname='*Transverse_Mass') - - -for selection in selections: - for variable in variables: - compare = [] - app = compare.append - for hist in histograms: - if variable in hist and selection in hist: - app(hists['SingleElectron'][hist]) - maxfactor = 1.3 - canvas, legend = plotting.compareShapes(compare, labels, styles, maxfactor) - legend.Draw() - plotting.saveAs(canvas, selection + "_" +variable, outputFormats=outputFormats, outputFolder=outputFolder) diff --git a/scripts/config/__init__.py b/scripts/config/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/scripts/config/plotConfig.py b/scripts/config/plotConfig.py deleted file mode 100644 index e3b94dd4..00000000 --- a/scripts/config/plotConfig.py +++ /dev/null @@ -1,17 +0,0 @@ -#define additional weights for the various samples -weights = {} - -#define binning for different histograms for Rebin() -binning = {} -binning['mttbar'] = 50 - -#define QCD estimation method -#from ... import X -qcdestimationMethod = None - -#define histograms where QCD is not scaled to estimation -doNotUseQCDEstimationFor = [ - 'QCD' - ] - - diff --git a/scripts/config/sampleSummations.py b/scripts/config/sampleSummations.py deleted file mode 100644 index 29926a6d..00000000 --- a/scripts/config/sampleSummations.py +++ /dev/null @@ -1,57 +0,0 @@ -from copy import deepcopy - -qcd_samples = [ 'QCD_Pt_20_30_BCtoE', - 'QCD_Pt_30_80_BCtoE', - 'QCD_Pt_80_170_BCtoE', - 'QCD_Pt_170_250_BCtoE', - 'QCD_Pt_250_350_BCtoE', - 'QCD_Pt_350_BCtoE', - 'QCD_Pt_20_30_EMEnriched', - 'QCD_Pt_30_80_EMEnriched', - 'QCD_Pt_80_170_EMEnriched', - 'QCD_Pt_170_250_EMEnriched', - 'QCD_Pt_250_350_EMEnriched', - 'QCD_Pt_350_EMEnriched', - 'GJets_HT-200To400', - 'GJets_HT-400ToInf' - ] - -muon_qcd_samples = [ 'QCD_Pt-15to20_MuEnrichedPt5', - 'QCD_Pt-20to30_MuEnrichedPt5', - 'QCD_Pt-30to50_MuEnrichedPt5', - 'QCD_Pt-50to80_MuEnrichedPt5', - 'QCD_Pt-80to120_MuEnrichedPt5', - 'QCD_Pt-120to170_MuEnrichedPt5', - 'QCD_Pt-170to300_MuEnrichedPt5', - 'QCD_Pt-300to470_MuEnrichedPt5', - 'QCD_Pt-470to600_MuEnrichedPt5', -# 'QCD_Pt-600to800_MuEnrichedPt5', - 'QCD_Pt-800to1000_MuEnrichedPt5', - 'QCD_Pt-1000_MuEnrichedPt5' - ] - -singleTop_samples = [ 'T_tW-channel', - 'T_t-channel', - 'T_s-channel', - 'Tbar_tW-channel', - 'Tbar_t-channel', - 'Tbar_s-channel'] - -wplusjets_samples = [ 'W1Jet', 'W2Jets', 'W3Jets', 'W4Jets'] -zplusjets_samples = [ 'DY1JetsToLL', 'DY2JetsToLL', 'DY3JetsToLL', 'DY4JetsToLL' ] -vplusjets_samples = deepcopy(wplusjets_samples) -vplusjets_samples.append('DY1JetsToLL') -vplusjets_samples.append('DY2JetsToLL') -vplusjets_samples.append('DY3JetsToLL') -vplusjets_samples.append('DY4JetsToLL') -#diboson_samples = [ 'WWtoAnything', 'WZtoAnything', 'ZZtoAnything'] -signal_samples = [ 'TTJet', 'SingleTop'] -allMC_samples = [ 'TTJet', 'DYJetsToLL', 'QCD', 'W+Jets', 'SingleTop'] - -btag_bins_inclusive = ['0orMoreBtag', '1orMoreBtag', '2orMoreBtags', '3orMoreBtags'] -btag_sums = { - '0orMoreBtag':['0btag', '1btag', '2btags', '3btags', '4orMoreBtags'], - '1orMoreBtag':['1btag', '2btags', '3btags', '4orMoreBtags'], - '2orMoreBtags':['2btags', '3btags', '4orMoreBtags'], - '3orMoreBtags':['3btags', '4orMoreBtags'] - } diff --git a/scripts/copyNTuples.py b/scripts/copyNTuples.py deleted file mode 100644 index 533fddeb..00000000 --- a/scripts/copyNTuples.py +++ /dev/null @@ -1,43 +0,0 @@ -''' -Created on Nov 23, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' - -if __name__ == "__main__": - basePathToData = '/storage/TopQuarkGroup' - - #steps to do - #1. create folder structure (Dataset/nTupleVersion) - #2. check for corrupt files - if found, ask if wants to remove (grid certificate required) - #3. check for duplicates - if found, ask if wants to remove (grid certificate required) - #run options: - #check-only - #skim info only - - #print output of hadd -# Total number of files: N -# Total number of unique files: M -# Process recognised: Sample -# Input files per output file: X -# Input directory: /gpfs_phys/storm/cms/user/ -# Using compression level Z -# ================================================== -# Creating output file: Sample_merged_I.root -# Number of input files: Y -# CRAB job number of input files: 1-2, 4,7, 10-33 -# ================================================== - - -# supress output of hadd except for debug flag -# Source file N -# ... - -#group by max size of output -#group by number of output files -#create mergeROOTFiles.log automatically (full logging), print summarised output somewhere else -#print warning when more than 500 files are going to be merged. ROOT can't handle this!! -#alternative: create temporary files so max 500 files per output file, merge the temp files and then remove them! - \ No newline at end of file diff --git a/scripts/createPUDistribution.py b/scripts/createPUDistribution.py deleted file mode 100644 index d38b14f3..00000000 --- a/scripts/createPUDistribution.py +++ /dev/null @@ -1,3 +0,0 @@ -#from estimatePU tool -#from list -#from MC input? \ No newline at end of file diff --git a/scripts/createSumsOfHistograms.py b/scripts/createSumsOfHistograms.py deleted file mode 100644 index 865d172f..00000000 --- a/scripts/createSumsOfHistograms.py +++ /dev/null @@ -1,142 +0,0 @@ -#0. Open histogram files -#1. Create inclusive b-tag and jet- multiplicity bins if not present -#2. Write file to current files -#3. add files up (hadd) to create the sum of samples (QCD, singleTop, W+Jets, allMC) -import FILES -from ROOT import TFile -from rootpy.io import File -import tools.ROOTFileReader as fileReader -from optparse import OptionParser - -btag_bins_available = ['0btag', '1btag', '2btags', '3btags', '4orMoreBtags' - ] -btag_bins_inclusive = ['0orMoreBtag', '1orMoreBtag', '2orMoreBtags', '3orMoreBtags'] - -def sumExclusiveHistogramsInFile(filename): - testfile = File(filename, 'read') - newHistograms = {} - histExists = newHistograms.has_key - - nTimes = 1000000000 - nthTime = 0 - nHistograms = 0 - listOfAllHistograms = [] - addToList = listOfAllHistograms.append - for folder, emptyThing, histograms in testfile: - for histogram in histograms: - nHistograms += 1 - currentPath = folder + '/' + histogram - addToList(currentPath) - print 'Loading', nHistograms, 'histograms' - allHistograms = fileReader.getHistogramsFromFiles(listOfAllHistograms, {'Test':filename}, True)['Test'] - print 'Loaded', nHistograms, 'histograms' - - nHistograms = 0 - for histogramName, histogram in allHistograms.iteritems(): - nthTime += 1 - if nthTime >= nTimes: - continue - nHistograms += 1 - isBtagBinnedHist = False - if nHistograms % 5000 == 0: - print 'Done', nHistograms, 'histograms' - currentHist = histogramName - - for btag_bin in btag_bins_available: - if btag_bin in histogramName: - isBtagBinnedHist = True - currentHist = histogramName.replace(btag_bin, '') - if not isBtagBinnedHist: - continue - - currentPath = currentHist - if histExists(currentHist):#already have it - continue - inclBinHistograms = {} - for exclBin in range(len(btag_bins_inclusive)): - # print 'Starting with', currentPath + btag_bins_available[exclBin] - newhist = allHistograms[currentPath + btag_bins_available[exclBin]] - for availBin in range(exclBin + 1, len(btag_bins_available)): - # print '>>>>> Adding:', currentPath + btag_bins_available[availBin] - addThis = allHistograms[currentPath + btag_bins_available[availBin]] - newhist.Add(addThis) - inclBinHistograms[currentPath + btag_bins_inclusive[exclBin]] = newhist - newHistograms[currentPath] = inclBinHistograms - testfile.Close() - print 'Done', nHistograms, 'histograms' - - - rootFile = TFile.Open(filename, 'UPDATE') - cd = rootFile.Cd - rootFile.cd() - for histFullPath, histogramDict in newHistograms.iteritems(): - currentHist = histFullPath.split('/')[-1] - path = histFullPath.replace(currentHist, '') - cd('/' + path) - for histname, histogram in histogramDict.iteritems(): - currentHist = histname.split('/')[-1] - histogram.Write(currentHist) - rootFile.Write() - rootFile.Close() - del allHistograms - del rootFile - del testfile - del newHistograms - -def cleanFile(filename): - testfile = File(filename, 'update') - nHistograms = 0 - print "Deleting inclusive bin histograms histograms" - for folder, emptyThing, histograms in testfile: - for histogram in histograms: - currentPath = folder + '/' + histogram - for btag in btag_bins_inclusive: - if btag in histogram: - nHistograms += 1 -# print 'Deleting:', currentPath - testfile.Delete(currentPath + ';*') - print 'Deleted', nHistograms, 'histograms' - print 'Closing file', filename - testfile.Close() - print 'Closed file' - -if __name__ == '__main__': - parser = OptionParser() - parser.add_option("-s", "--sample", dest="sample", default='ElectronHad', - help="set sample to be combined. Available samples: " + ','.join(FILES.files.keys())) - parser.add_option("-f", "--fileset", dest="fileset", default='central', - help="set of files to be combined") - (options, args) = parser.parse_args() - fileset = FILES.files - if options.fileset == 'PU_down': - fileset = FILES.files_PU_down - elif options.fileset == 'PU_up': - fileset = FILES.files_PU_up - elif options.fileset == 'PDF': - fileset = FILES.files_PDF_weights - elif options.fileset == 'JES_down': - fileset = FILES.files_JES_down - elif options.fileset == 'JES_up': - fileset = FILES.files_JES_up - elif options.fileset == 'BJet_down': - fileset = FILES.files_BJet_down - elif options.fileset == 'BJet_up': - fileset = FILES.files_BJet_up - elif options.fileset == 'LightJet_down': - fileset = FILES.files_LightJet_down - elif options.fileset == 'LightJet_up': - fileset = FILES.files_LightJet_up - elif options.fileset == 'central': - fileset = FILES.files - else: - print 'Do not recognise fileset' - import sys - sys.exit - print 'Doing file set', options.fileset - - for sample in fileset.keys(): - print 'Doing sample', sample - filename = fileset[sample] - print 'Doing file:', filename - cleanFile(filename) -# sumExclusiveHistogramsInFile(filename) diff --git a/scripts/cutFlow.C b/scripts/cutFlow.C deleted file mode 100644 index 065f8265..00000000 --- a/scripts/cutFlow.C +++ /dev/null @@ -1,65 +0,0 @@ -#include "TFile.h" -#include "TH1.h" -#include "TObject.h" -#include "TString.h" -#include -#include -#include - -void cutFlow(); -TH1D* getSample(TString sample, bool muon); - - -void cutFlow(){ - bool muon = true; -TH1D* tt = getSample("TTJet", muon); - - -double weight = 5050*157.5/6712238; -weight = 1.; - -if(muon == true){ -std::cout << setprecision(6)<< "skim & " << weight*tt->GetBinContent(1) << " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(1)<< " \\\\ " << std::endl; -std::cout<< setprecision(6) << "trigger and clean & " << weight*tt->GetBinContent(2) << setprecision(3) << " $\\pm$ " << weight*tt->GetBinError(2)<< " \\\\ " << std::endl; -std::cout << setprecision(6)<< "1==mu & " << weight*tt->GetBinContent(3) << " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(3)<< " \\\\ " << std::endl; -std::cout<< setprecision(6) << "mu veto & " << weight*tt->GetBinContent(4)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(4)<< " \\\\ " << std::endl; -std::cout<< setprecision(6) << "e veto & " << weight*tt->GetBinContent(5)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(5) << " \\\\ " << std::endl; -std::cout<< setprecision(6) << "$\\geq$1jets & " << weight*tt->GetBinContent(6)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(6)<< " \\\\ " << std::endl; -std::cout << setprecision(6)<< "$\\geq$2jets & " << weight*tt->GetBinContent(7)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(7)<< " \\\\ " << std::endl; -std::cout<< setprecision(6) << "$\\geq$3jets & " << weight*tt->GetBinContent(8)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(8) << " \\\\ " << std::endl; -std::cout<< setprecision(6) << "$\\geq$4jets & " << weight*tt->GetBinContent(9)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(9) << " \\\\ " << std::endl; -std::cout<< setprecision(6) << "$\\geq$1btag & " << weight*tt->GetBinContent(10) << " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(10)<< " \\\\ " << std::endl; -std::cout<< setprecision(6) << "$\\geq$2btag & " << weight*tt->GetBinContent(11) << " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(11)<< " \\\\ " << std::endl; -}else{ - - std::cout << setprecision(6)<< "skim & " << weight*tt->GetBinContent(1) << " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(1)<< " \\\\ " << std::endl; - std::cout<< setprecision(6) << "trigger and clean & " << weight*tt->GetBinContent(2) << setprecision(3) << " $\\pm$ " << weight*tt->GetBinError(2)<< " \\\\ " << std::endl; - std::cout << setprecision(6)<< "1==mu & " << weight*tt->GetBinContent(3) << " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(3)<< " \\\\ " << std::endl; - std::cout<< setprecision(6) << "mu veto & " << weight*tt->GetBinContent(4)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(4)<< " \\\\ " << std::endl; - std::cout<< setprecision(6) << "e veto & " << weight*tt->GetBinContent(5)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(5) << " \\\\ " << std::endl; - std::cout<< setprecision(6) << "conv. veto & " << weight*tt->GetBinContent(6)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(6) << " \\\\ " << std::endl; - std::cout<< setprecision(6) << "$\\geq$1jets & " << weight*tt->GetBinContent(7)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(7)<< " \\\\ " << std::endl; - std::cout << setprecision(6)<< "$\\geq$2jets & " << weight*tt->GetBinContent(8)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(8)<< " \\\\ " << std::endl; - std::cout<< setprecision(6) << "$\\geq$3jets & " << weight*tt->GetBinContent(9)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(9) << " \\\\ " << std::endl; - std::cout<< setprecision(6) << "$\\geq$4jets & " << weight*tt->GetBinContent(10)<< " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(10) << " \\\\ " << std::endl; - std::cout<< setprecision(6) << "$\\geq$1btag & " << weight*tt->GetBinContent(11) << " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(11)<< " \\\\ " << std::endl; - std::cout<< setprecision(6) << "$\\geq$2btag & " << weight*tt->GetBinContent(12) << " $\\pm$ " << setprecision(3) << weight*tt->GetBinError(12)<< " \\\\ " << std::endl; - - -} -} - -TH1D* getSample(TString sample, bool muon){ - TString dir = "../"; - TFile* tt_file = new TFile(dir + sample + "_5800pb_PFElectron_PFMuon_PF2PATJets_PFMET_TEST.root"); - TDirectoryFile* tt_folder = (TDirectoryFile*) tt_file->Get("EventCount"); - TH1D* tt_cutflow; - if(muon == true){ - tt_cutflow = (TH1D*) tt_folder->Get("TTbarMuPlusJetsRefSelectionUnweighted"); - //tt_cutflow = (TH1D*) tt_folder->Get("TTbarMuPlusJetsRefSelectionUnweighted_singleCuts"); - }else{ - tt_cutflow = (TH1D*) tt_folder->Get("TTbarEplusJetsRefSelectionUnweighted_singleCuts"); - } - return tt_cutflow; -} - diff --git a/scripts/cutFlow_C.d b/scripts/cutFlow_C.d deleted file mode 100644 index 83f53c0a..00000000 --- a/scripts/cutFlow_C.d +++ /dev/null @@ -1,50 +0,0 @@ - -# DO NOT DELETE - -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TFile.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TDirectoryFile.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TDirectory.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TNamed.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TObject.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/Rtypes.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/RConfig.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/RVersion.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/DllImport.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/Rtypeinfo.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/snprintf.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/strlcpy.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TGenericClassInfo.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TSchemaHelper.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TStorage.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TVersionCheck.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/Riosfwd.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TBuffer.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TString.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TMathBase.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TList.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TSeqCollection.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TCollection.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TIterator.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TDatime.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TUUID.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TMap.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/THashTable.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TUrl.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TH1.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TAxis.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TAttAxis.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TArrayD.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TArray.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TAttLine.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TAttFill.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TAttMarker.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TArrayC.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TArrayS.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TArrayI.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TArrayF.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/Foption.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TVectorFfwd.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TVectorDfwd.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/TFitResultPtr.h -./cutFlow_C.so: /software/root/v5.34.02/normal/root/include/cintdictversion.h /software/root/v5.34.02/normal/root/include/RVersion.h -cutFlow_C__ROOTBUILDVERSION= 5.34/02 diff --git a/scripts/data/QCD_data_mu.root b/scripts/data/QCD_data_mu.root deleted file mode 100644 index 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zZj%EQ-YwR9^vQ8`cux6CZq=N8KGR`f8eXi=5ez0m^xSFUe@`Smc8p{&;tT7baxC4? zhafZ73T%gqiY_TN&X%_jJ}wU?K^1*v`zRI2*DuMO#y2%CEN)cVvfJEc&JEb}^@w^S z;h*Fa1_srK=hyO z>@9r)>FRePw_qF}I_p0>>W>F%FbD1N2U;H=MY8w>WZuZ2TeLzSTyEhk;k_FxK&hSQ zk$-r`_I$nve#iTb<6|()&@}SNO7>+xvM>R0#0c$ya-&(C{PN1rk3 z9^~k-xV2u851ptp)6(BGsD7DJ>(PC3J@gPAKhkDhHH(!GTiz-{e^^qhl$73(E@zqi z)cCRGbMu?WqPIH%C89cf++#8Dv6#rjj;$sm0T(>qTdZ;(8&Ux8@oeK>!hK0GF6y5i zuBNM`uXwuEop{$hj$hhfi_+tKcd|)BCLjnMV@OqM;*4!6LhorMcI*R6lKZs^dvIPp zZ0M~ud|FxH@@7t|5^B7-miT(=159rt*xaS@4O!}iM_Rj0fsdetnsI-nGb!*|AgEE;5I9nBEYlB{*o4eD35k?%jnd2?V&|LUFKW9zT zc-tSJ6wz>S$IQJ-ZqZLL*S7@5p`Akol}IhTR;v)1W-{-)#j-D+kaOIlv)x|udA -#include "tdrstyle.C" -#include "TTree.h" -#include "TFile.h" -#include "TFile.h" -#include "TH1F.h" -#include "TH2D.h" -#include "TROOT.h" -#include "TStyle.h" -#include "TCanvas.h" -#include "TText.h" -#include "TLegend.h" -#include "THStack.h" -#include "TLine.h" -#include "TChain.h" -#include "TLatex.h" -#include -#include -#include -#include "TLegend.h" -using namespace std; - -void do2DMET(); -void do2DPlots(bool muon, TString variable, TString ytitle); -void getBinning(bool muon, TString variable); - - -void do2DMET(){ - -bool muon = true; - -TString variable[41] = {"patMETsPFlow" , "GenMET" , "patType1CorrectedPFMet" , "patType1p2CorrectedPFMet" , "patType1p2CorrectedPFMetElectronEnUp" , "patType1p2CorrectedPFMetElectronEnDown" , "patType1p2CorrectedPFMetMuonEnUp" , "patType1p2CorrectedPFMetMuonEnDown" , "patType1p2CorrectedPFMetTauEnUp" , "patType1p2CorrectedPFMetTauEnDown" , "patType1p2CorrectedPFMetJetResUp" , "patType1p2CorrectedPFMetJetResDown" , "patType1p2CorrectedPFMetJetEnUp" , "patType1p2CorrectedPFMetJetEnDown" , "patType1p2CorrectedPFMetUnclusteredEnUp" , "patType1p2CorrectedPFMetUnclusteredEnDown" , "patPFMetElectronEnUp" , "patPFMetElectronEnDown" , "patPFMetMuonEnUp" , "patPFMetMuonEnDown" , "patPFMetTauEnUp" , "patPFMetTauEnDown" , "patPFMetJetResUp" , "patPFMetJetResDown" , "patPFMetJetEnUp" , "patPFMetJetEnDown" , "patPFMetUnclusteredEnUp" , "patPFMetUnclusteredEnDown" , "patType1CorrectedPFMetElectronEnUp" , "patType1CorrectedPFMetElectronEnDown" , "patType1CorrectedPFMetMuonEnUp" , "patType1CorrectedPFMetMuonEnDown" , "patType1CorrectedPFMetTauEnUp" , "patType1CorrectedPFMetTauEnDown" , "patType1CorrectedPFMetJetResUp" , "patType1CorrectedPFMetJetResDown" , "patType1CorrectedPFMetJetEnUp" , "patType1CorrectedPFMetJetEnDown" , "patType1CorrectedPFMetUnclusteredEnUp" , "patType1CorrectedPFMetUnclusteredEnDown" , "recoMetPFlow"}; - -TString ytitle[41] = {"patMETsPFlow" , " GenMET" , " patType1CorrectedPFMet" , " patType1p2CorrectedPFMet" , " patType1p2CorrectedPFMetElectronEnUp" , "patType1p2CorrectedPFMetElectronEnDown" , "patType1p2CorrectedPFMetMuonEnUp" , "patType1p2CorrectedPFMetMuonEnDown" , "patType1p2CorrectedPFMetTauEnUp" , "patType1p2CorrectedPFMetTauEnDown" , "patType1p2CorrectedPFMetJetResUp" , "patType1p2CorrectedPFMetJetResDown" , "patType1p2CorrectedPFMetJetEnUp" , "patType1p2CorrectedPFMetJetEnDown" , "patType1p2CorrectedPFMetUnclusteredEnUp" , "patType1p2CorrectedPFMetUnclusteredEnDown" , "patPFMetElectronEnUp" , "patPFMetElectronEnDown" , "patPFMetMuonEnUp" , "patPFMetMuonEnDown" , "patPFMetTauEnUp" , "patPFMetTauEnDown" , "patPFMetJetResUp" , "patPFMetJetResDown" , "patPFMetJetEnUp" , "patPFMetJetEnDown" , "patPFMetUnclusteredEnUp" , "patPFMetUnclusteredEnDown" , "patType1CorrectedPFMetElectronEnUp" , "patType1CorrectedPFMetElectronEnDown" , "patType1CorrectedPFMetMuonEnUp" , "patType1CorrectedPFMetMuonEnDown" , "patType1CorrectedPFMetTauEnUp" , "patType1CorrectedPFMetTauEnDown" , "patType1CorrectedPFMetJetResUp" , "patType1CorrectedPFMetJetResDown" , "patType1CorrectedPFMetJetEnUp" , "patType1CorrectedPFMetJetEnDown" , "patType1CorrectedPFMetUnclusteredEnUp" , "patType1CorrectedPFMetUnclusteredEnDown" , "recoMetPFlow"}; - - - -for(int i =0; i<41; i++){ -do2DPlots(muon, variable[i], ytitle[i]); -getBinning(muon, variable[i]); -} - -} - -void do2DPlots(bool muon, TString variable, TString ytitle){ - - TString leptonFolder; - if(muon == true){ - leptonFolder = "MuonMET/"; - }else{ - leptonFolder = "ElectronMET/"; - } - - setTDRStyle(); - gStyle->SetPalette(1); - - TString dir = "../"; - TFile* tt_file = new TFile(dir + "TTJet_5050pb_PFElectron_PFMuon_PF2PATJets_PFMET_TESTING.root"); - - - -TString Nbtags[5] = {"_0btag","_1btag", "_2btags", "_3btags", "_4orMoreBtags"}; - -for(int i = 2; i < 3; i++){ -cout << "Getting histo: " << "Binning/"+leptonFolder+variable+"/RecoMET_vs_GenMET"+Nbtags[i] <Get("Binning/"+leptonFolder+variable+"/RecoMET_vs_GenMET"+Nbtags[i]); - - tt_2d->Rebin2D(10,10); - tt_2d->GetYaxis()->SetTitle("reco MET"); - tt_2d->GetXaxis()->SetTitle(ytitle); - tt_2d->GetYaxis()->SetTitleOffset(1.8); - tt_2d->GetXaxis()->SetTitleOffset(1.5); - - TCanvas *c= new TCanvas("c","c",10,10,800,600); - tt_2d->Draw("COLZ"); - - TString plotName("plots/"+leptonFolder); - plotName += variable; - plotName += Nbtags[i]+".png"; - - c->SaveAs(plotName); - delete c; - -} - - -} - - -void getBinning(bool muon, TString variable){ - - TString leptonFolder; - if(muon == true){ - leptonFolder = "MuonMET/"; - }else{ - leptonFolder = "ElectronMET/"; - } - - TString dir = "../"; - -TFile* tt_file = new TFile(dir + "TTJet_5050pb_PFElectron_PFMuon_PF2PATJets_PFMET_TESTING.root"); -TH2D* tt_2d = (TH2D*) tt_file->Get("Binning/"+leptonFolder+variable+"/RecoMET_vs_GenMET_2btags"); -cout << "Getting histo: " << "Binning/"+leptonFolder+variable+"/RecoMET_vs_GenMET_2btags" <Integral(0,bin2-1,0,bin2-1)/tt_2d->Integral(0,301,0,bin2-1); - double p2 = tt_2d->Integral(bin2,bin3-1,bin2,bin3-1)/tt_2d->Integral(0,301,bin2,bin3-1); - double p3 = tt_2d->Integral(bin3,bin4-1,bin3,bin4-1)/tt_2d->Integral(0,301,bin3,bin4-1); - double p4 = tt_2d->Integral(bin4,bin5-1,bin4,bin5-1)/tt_2d->Integral(0,301,bin4,bin5-1); - double p5 = tt_2d->Integral(bin5,301,bin5,301)/tt_2d->Integral(0,301,bin5,301); - - double s1 = tt_2d->Integral(0,bin2-1,0,bin2-1)/tt_2d->Integral(0,bin2-1,0,301); - double s2 = tt_2d->Integral(bin2,bin3-1,bin2,bin3-1)/tt_2d->Integral(bin2,bin3-1,0,301); - double s3 = tt_2d->Integral(bin3,bin4-1,bin3,bin4-1)/tt_2d->Integral(bin3,bin4-1,0,301); - double s4 = tt_2d->Integral(bin4,bin5-1,bin4,bin5-1)/tt_2d->Integral(bin4,bin5-1,0,301); - double s5 = tt_2d->Integral(bin5,301,bin5,301)/tt_2d->Integral(bin5,301,0,301); - - double dp1 = p1*sqrt(pow(tt_2d->Integral(0,bin2-1,0,bin2-1),-1)+pow(tt_2d->Integral(0,301,0,bin2-1),-1)); - double dp2 = p2*sqrt(pow(tt_2d->Integral(bin2,bin3-1,bin2,bin3-1),-1)+pow(tt_2d->Integral(0,301,bin2,bin3-1),-1)); - double dp3 = p3*sqrt(pow(tt_2d->Integral(bin3,bin4-1,bin3,bin4-1),-1)+pow(tt_2d->Integral(0,301,bin3,bin4-1),-1)); - double dp4 = p4*sqrt(pow(tt_2d->Integral(bin4,bin5-1,bin4,bin5-1),-1)+pow(tt_2d->Integral(0,301,bin4,bin5-1),-1)); - double dp5 = p5*sqrt(pow(tt_2d->Integral(bin5,301,bin5,301),-1)+pow(tt_2d->Integral(0,301,bin5,301),-1)); - - double ds1 = s1*sqrt(pow(tt_2d->Integral(0,bin2-1,0,bin2-1),-1)+pow(tt_2d->Integral(0,bin2-1,0,301),-1)); - double ds2 = s2*sqrt(pow(tt_2d->Integral(bin2,bin3-1,bin2,bin3-1),-1)+pow(tt_2d->Integral(bin2,bin3-1,0,301),-1)); - double ds3 = s3*sqrt(pow(tt_2d->Integral(bin3,bin4-1,bin3,bin4-1),-1)+pow(tt_2d->Integral(bin3,bin4-1,0,301),-1)); - double ds4 = s4*sqrt(pow(tt_2d->Integral(bin4,bin5-1,bin4,bin5-1),-1)+pow(tt_2d->Integral(bin4,bin5-1,0,301),-1)); - double ds5 = s5*sqrt(pow(tt_2d->Integral(bin5,301,bin5,301),-1)+pow(tt_2d->Integral(bin5,301,0,301),-1)); -//cout << " bin1 stab: " << s1 << " bin2 pure: " << p1 << endl; -//cout << " bin2 stab: " << s2 << " bin2 pure: " << p2 << endl; -//cout << " bin3 stab: " << s3 << " bin3 pure: " << p3 << endl; -//cout << " bin4 stab: " << s4 << " bin4 pure: " << p4 << endl; -//cout << " bin5 stab: " << s5 << " bin5 pure: " << p5 << endl; - -cout << setprecision(2) << "purity & " << p1 << " & " << p2 << " & " << p3 << " & " << p4 << " & " << p5 << endl; -cout << setprecision(2) << "stability & " << s1 << " & " << s2 << " & " << s3 << " & " << s4 << " & " << s5 << endl; - -} diff --git a/scripts/do2DMET_C.d b/scripts/do2DMET_C.d deleted file mode 100644 index 4b5ee682..00000000 --- a/scripts/do2DMET_C.d +++ /dev/null @@ -1,86 +0,0 @@ - -# DO NOT DELETE - -./do2DMET_C.so: tdrstyle.C -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TStyle.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TNamed.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TObject.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/Rtypes.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/RConfig.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/RVersion.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/DllImport.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/Rtypeinfo.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/snprintf.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/strlcpy.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TGenericClassInfo.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TSchemaHelper.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TStorage.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TVersionCheck.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/Riosfwd.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TBuffer.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TString.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TMathBase.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TAttAxis.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TAttLine.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TAttFill.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TAttText.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TAttMarker.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TArrayI.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TArray.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TTree.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TBranch.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TObjArray.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TSeqCollection.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TCollection.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TIterator.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TDataType.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TDictionary.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/Property.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TArrayD.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TClass.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TObjString.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TVirtualTreePlayer.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TFile.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TDirectoryFile.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TDirectory.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TList.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TDatime.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TUUID.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TMap.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/THashTable.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TUrl.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TH1F.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TH1.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TAxis.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TArrayC.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TArrayS.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TArrayF.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/Foption.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TVectorFfwd.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TVectorDfwd.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TFitResultPtr.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TH2D.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TH2.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TMatrixFBasefwd.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TMatrixDBasefwd.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TROOT.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TCanvas.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TPad.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TVirtualPad.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TAttPad.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TVirtualX.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/GuiTypes.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/Buttons.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TQObject.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TAttCanvas.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TCanvasImp.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TText.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TLegend.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TPave.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TBox.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/THStack.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TLine.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TChain.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/TLatex.h -./do2DMET_C.so: /software/root/v5.34.02/normal/root/include/cintdictversion.h /software/root/v5.34.02/normal/root/include/RVersion.h -do2DMET_C__ROOTBUILDVERSION= 5.34/02 diff --git a/scripts/do2DPlots.C b/scripts/do2DPlots.C deleted file mode 100644 index bad0f853..00000000 --- a/scripts/do2DPlots.C +++ /dev/null @@ -1,136 +0,0 @@ -#include -#include "tdrstyle.C" -#include "TTree.h" -#include "TFile.h" -#include "TFile.h" -#include "TH1F.h" -#include "TH2D.h" -#include "TROOT.h" -#include "TStyle.h" -#include "TCanvas.h" -#include "TText.h" -#include "TLegend.h" -#include "THStack.h" -#include "TLine.h" -#include "TChain.h" -#include "TLatex.h" -#include -#include -#include "TLegend.h" -using namespace std; - -void do2DPlots(); -void do2DPlots(bool muon, TString variable, TString xtitle, TString ytitle); -void getBinning(bool muon, TString variable, TString xtitle, TString ytitle); -void do2DPlots(){ - -bool muon = true; - -TString variable[8] = {"RecoHT_vs_GenHT", "RecoHT_lep_vs_GenHT_lep", "RecoHT_lep_met_vs_GenHT_lep_met", "Recoleptonic_W_pt_vs_Genleptonic_W_pt", "RecoM3_vs_GenM3", "RecoMET_vs_GenNu", "RecoHT_vs_GenParton", "GenJetHT_vs_GenParton"}; -TString xtitle[8] = {"Reco HT (GeV)", "Reco HT+lep (GeV)", "Reco HT+lep+met (GeV)", "Reco leptonic W pt (GeV)", "Reco M3 (GeV)", "Reco MET (GeV)", "Reco HT GeV", "Gen Jet HT (GeV)"}; -TString ytitle[8] = {"Gen HT (GeV)", "Gen HT+lep (GeV)", "Gen HT+lep+met (GeV)", "Gen leptonic W pt (GeV)", "Gen M3 (GeV)", "Gen Nu (GeV)", "Gen Parton HT (GeV)", "Gen Parton HT (GeV)"}; - - - -for(int i =4; i<5; i++){ -//do2DPlots(muon, variable[i], xtitle[i], ytitle[i]); -getBinning(muon, variable[i], xtitle[i], ytitle[i]); -} - -} - -void do2DPlots(bool muon, TString variable, TString xtitle, TString ytitle){ - - TString leptonFolder; - if(muon == true){ - leptonFolder = "MuPlusJets/"; - }else{ - leptonFolder = "EPlusJets/"; - } - - setTDRStyle(); - gStyle->SetPalette(1); - - TString dir = "../"; - TFile* tt_file = new TFile(dir + "TTJet_5050pb_PFElectron_PFMuon_PF2PATJets_PFMET_TESTING.root"); - - - -TString Nbtags[5] = {"_0btag","_1btag", "_2btags","_3btags", "_4orMoreBtags"}; - -for(int i = 2; i < 3; i++){ - - TH2D* tt_2d = (TH2D*) tt_file->Get("Binning/"+leptonFolder+variable+Nbtags[i]); - - tt_2d->Rebin2D(10,10); - tt_2d->GetYaxis()->SetTitle(ytitle); - tt_2d->GetXaxis()->SetTitle(xtitle); - tt_2d->GetYaxis()->SetTitleOffset(1.8); - tt_2d->GetXaxis()->SetTitleOffset(1.5); - - TCanvas *c= new TCanvas("c","c",10,10,800,600); - tt_2d->Draw("COLZ"); - - TString plotName("plots/"+leptonFolder); - plotName += variable; - plotName += Nbtags[i]+".png"; - - c->SaveAs(plotName); - delete c; - -} - - -} - - -void getBinning(bool muon, TString variable, TString xtitle, TString ytitle){ - - TString leptonFolder; - if(muon == true){ - leptonFolder = "MuPlusJets/"; - }else{ - leptonFolder = "EPlusJets/"; - } - - TString dir = "../"; - TFile* tt_file = new TFile(dir + "TTJet_5050pb_PFElectron_PFMuon_PF2PATJets_PFMET_TESTING.root"); - - TH2D* tt_2d = (TH2D*) tt_file->Get("Binning/"+leptonFolder+variable+"_2btags"); - - int i = 0; - int binMin[20]; - binMin[0] = 0; -// int binCho[6] = {0, 80, 110, 160, 240, 340}; //hT -// int binCho[6] = {0, 60, 90, 120, 160, 240}; //mwt - int binCho[5] = {0, 100, 140, 190, 299}; - -for(int bin = 0; binGetNbinsX(); bin++){ - double purity[20]; - double stability[20]; - - purity[i] = tt_2d->Integral(binMin[i], bin+1,binMin[i],bin+1)/tt_2d->Integral(binMin[i], bin+1,0,tt_2d->GetNbinsX()+1); - stability[i] = tt_2d->Integral(binMin[i], bin+1,binMin[i],bin+1)/tt_2d->Integral(0,tt_2d->GetNbinsX()+1 ,binMin[i],bin+1); - - -// if(purity[i]>=0.5 && stability[i]>=0.5){ -// cout << "purity: " << purity[i] << ", stability: " << stability[i] << " bin: " << bin << endl; -// i++; -// binMin[i] = bin; 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zt8>i1q97;^D^n`tbRj-thN{n4fB&0yGdPvkPc6W7M- zUa?UWfzMkkasF0Xdd#A8Ft>sW^13z(sqXo(v8feNoS!LdabEAm=fi5CwkrC;vx)qB zBd*c>-Wbz}scGFdA*w6pd-@E+i*1<2^s%10A5RZXGqZ?f8P&;% zycE4tLHW+zzN2SB159Y{SGtw(Gzr+<1o@&H`bOxJUR%wBoB$HF(fd@=87Bn+nb|Wq zKOCn@RDjA}L;O_UX{y*ZCLeHZxW>$%}&U?zz>~q@}o4VKMQM*H33&p-O>1=XscMrR> zha|X-wh9gTd{9SB1AC8o**VXf9_Ej0cNyI}8@PU&KKR+OmPl5FnOiA6eKxCIqolH= zQpGp=68ZeotCpuXFoOLpcs zBA3UY-c}0?PsBPOdx-yp?mluNm*)ibdN{qtzrfMBr!Z*Mr&%~N$6nFPXxjjkXJYl< zcL5(=Z|eSNcDts;>*CGRGE}Qu~eH#<$csR^gTAC*Z9$Q31*my&~x8DQKfIy~Otx6+sh(LFkbP=1vRrxELAzRZg2$%kg3PsS -#include -#include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include "TLatex.h" -#include "TText.h" -#include "TLegend.h" -#include "TFile.h" - -#include "tdrstyle.C" - -using namespace std; -// Declare pointer to data as global (not elegant but TMinuit needs this). -vector data_Vec; //input data - -vector ttbar_Vec; //ttbar+single top template from mc -vector wjets_Vec; //wjest template from data driven method -vector zjets_Vec; //zjets template from data driven method -vector qcd_Vec; //qcd template from data drive method - -vector ttbar_err_Vec; -vector wjets_err_Vec; //wjest template from data driven method -vector zjets_err_Vec; //zjets template from data driven method -vector qcd_err_Vec; //qcd template from data drive method - - -int Ntotal; //define as global, got in getDataFromHis function -int nbins; //define as global, also got in getDataFromHis function, and it is been used in getTemFromHis function - -//double xbins[13] = {0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4}; - - -double xmin = 0; -double xmax; //calculate in getDataFromHis function - -void fcn(int& npar, double* deriv, double& f, double par[], int flag); -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins); -void getSignalFromHis(TFile* inputFile, TString& jet_num, int& nxbins, vector& vect, vector& vect_err); -void getTemFromHis(TFile* inputFile, TString& templ, TString& jet_num, int& nxbins, vector& vect, vector& vect_err); - - -TText* doPrelim(float luminosity, float x, float y); - -//double lumi = 964.6; -//double lumi = 987.2; -double lumi = 4973.4; - - double Nsignal; - double Nwjets; - double Nzjets; - double NQCD; - double NSinglT; - double Nttbar; - double NtotPass; -//------------------------------------------------------------------------- -int TempFitEta() { - - -double theorXsect = 157.5; - - // Choose the jet multiplicity - TString jet_num = "2b_"; - TString jet_num_temp = "ge2j"; - //choose what to use - TString templ = "_central"; - TString num = "3"; - - - //trig - TFile* f_central = TFile::Open("PFhistosForFitting_met"+num+templ+".root"); - //no trig - TFile* f_centraln = TFile::Open("../../metPlots1907/output/PFhistosForFitting_met"+num+templ+".root"); - - TFile* f_templates = TFile::Open("QCDetaData.root"); - TFile* f_all = TFile::Open("PFhistosForFitting_metall"+templ+".root"); - - - TH1D* signaln = (TH1D*) f_centraln->Get("metEta_h_"+jet_num+"signal"); - TH1D* zjetsn = (TH1D*) f_centraln->Get("metEta_h_"+jet_num+"zjets"); - - - TH1D* signal = (TH1D*) f_central->Get("metEta_h_"+jet_num+"signal"); - TH1D* wjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"wjets"); - TH1D* zjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"zjets"); - TH1D* QCD = (TH1D*) f_central->Get("metEta_h_"+jet_num+"QCD"); - TH1D* SinglT = (TH1D*) f_central->Get("metEta_h_"+jet_num+"SinglT"); - TH1D* ttbar = (TH1D*) f_central->Get("metEta_h_"+jet_num+"ttbar"); - TH1D* tt_Z = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_Z"); - TH1D* tt_W = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_W"); - TH1D* DATA = (TH1D*) f_central->Get("metEta_h_"+jet_num+"data"); - - TH1D* QCData = (TH1D*) f_templates->Get("metEta_h_"+jet_num_temp); - TH1D* ttbarAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"ttbar"); - - int rebinF = 8; - - signaln->Rebin(rebinF); - zjetsn->Rebin(rebinF); - - signal->Rebin(rebinF); - wjets->Rebin(rebinF); - zjets->Rebin(rebinF); - QCD->Rebin(rebinF); - SinglT->Rebin(rebinF); - ttbar->Rebin(rebinF); - tt_Z->Rebin(rebinF); - tt_W->Rebin(rebinF); - DATA->Rebin(rebinF); - QCData->Rebin(rebinF/2); - - - cout << "input params: " << endl; - Nsignal = signal->Integral(); - Nwjets = wjets->Integral(); - Nzjets = zjets->Integral(); - NQCD = QCD->Integral(); - NSinglT = SinglT->Integral(); - Nttbar = ttbar->Integral(); -double Ntt_Z =tt_Z->Integral(); -double Ntt_W =tt_W->Integral(); -double tot = Nttbar+NSinglT+NQCD+Nzjets+Nwjets+Ntt_Z+Ntt_W; -double Ndata = DATA->Integral(); - NtotPass = ttbarAll->Integral(); - - - TString wstring = "wjets"; - TString zstring = "zjets"; - TString qcdstring = ""; - - // Read in the data and templates. - getDataFromHis(f_central, jet_num, nbins); // Get data histrogram form central selection - getSignalFromHis(f_central, jet_num, nbins, ttbar_Vec, ttbar_err_Vec);// Get ttbar, single-top histrograms form MC with entral selection - - // TString wstring = "Wtemplate"; - // TString zstring = "DYtemplate"; - - getTemFromHis(f_central, wstring, jet_num, nbins, wjets_Vec, wjets_err_Vec); - getTemFromHis(f_central, zstring, jet_num, nbins, zjets_Vec, zjets_err_Vec); - getTemFromHis(f_templates, qcdstring, jet_num_temp, nbins, qcd_Vec, qcd_err_Vec); - - f_central->Close(); - f_templates->Close(); -// f_signal->Close(); -// f_wjets->Close(); -// f_zjets->Close(); -// f_qcd->Close(); - - // Initialize minuit, set initial values etc. of parameters. - const int npar = 4; // the number of parameters - TMinuit minuit(npar); - minuit.SetFCN(fcn); - - //minuit.SetPrintLevel(1); - minuit.SetPrintLevel(-1); - minuit.SetErrorDef(1.); - - int ierflg = 0; - string parName[npar] = {"ttbar+single-top", "wjets", "zjets", "qcd"}; //background parameters - double par[npar] = {Nsignal, Nwjets, Nzjets, NQCD}; //using the MC estimation as the start values 1fb - //double par[npar] = {4667.33 , 3790.39 , 1376.35 , 194.751}; - cout << "total data events: " << Ntotal << endl; - - - for(int i=0; iSetBinContent(i+1, data_Vec[i]); - - // cout<<"data: "<SetBinContent(i+1, mean); //fitting results - - ttbar_Con->SetBinContent(i+1, ttbar_con); - wjets_Con->SetBinContent(i+1, wjets_con); - zjets_Con->SetBinContent(i+1, zjets_con); - qcd_Con->SetBinContent(i+1, qcd_con); - - ttbar_Temp->SetBinContent(i+1, ttbar_Vec[i]); - wjets_Temp->SetBinContent(i+1, wjets_Vec[i]); - zjets_Temp->SetBinContent(i+1, zjets_Vec[i]); - qcd_Temp->SetBinContent(i+1, qcd_Vec[i]); - - } - - //print out the results - cout <<" \n Total number of events after the fit" << endl; - cout<<" & ttbar+single top & w+jets & z+jets & qcd "<cd(); - ttbar_Temp->SetLineColor(kRed+1); - wjets_Temp->SetLineColor(kGreen-3); - zjets_Temp->SetLineColor(kAzure-2); - qcd_Temp->SetLineColor(kYellow); - // stop_Temp->SetLineColor(kOrange); - - ttbar_Temp->SetLineWidth(5); - wjets_Temp->SetLineWidth(5); - zjets_Temp->SetLineWidth(5); - qcd_Temp->SetLineWidth(5); - // stop_Temp->SetLineWidth(5); - ttbar_Temp->SetAxisRange(0.,2.6); - ttbar_Temp->SetTitle(""); - ttbar_Temp->Draw(); - ttbar_Temp->SetMaximum(1.3*ttbar_Temp->GetMaximum()); - //ttbar_Temp->SetMaximum(.12); - ttbar_Temp->GetXaxis()->SetTitle("muon |#eta|"); - ttbar_Temp->GetYaxis()->SetTitle(""); - - wjets_Temp->Draw("same"); - zjets_Temp->Draw("same"); - qcd_Temp ->Draw("same"); - //stop_Temp ->Draw("same"); - - TLegend* legTemp = new TLegend(0.66, 0.6, 0.96, 0.92); - legTemp->SetBorderSize(0); - legTemp->SetTextFont(42); - legTemp->SetFillColor(0); - - legTemp->AddEntry(ttbar_Temp, " t#bar{t}+single top", "L"); - // legTemp->AddEntry(stop_Temp, " single top", "L"); - legTemp->AddEntry(wjets_Temp, " W#rightarrowl#nu", "L"); - legTemp->AddEntry(zjets_Temp, " Z/#gamma*#rightarrowl^{+}l^{-}", "L"); - legTemp->AddEntry(qcd_Temp , " QCD", "L"); - legTemp->SetTextSize(0.045); - - legTemp->Draw("same"); - - TText* textPrelim1 = doPrelim(lumi,0.49,0.96); - textPrelim1->Draw(); - - //canvasTemp->SaveAs("notePlots/Temp"+num+".png"); - //canvasTemp->SaveAs("notePlots/Temp"+num+".pdf"); - //make fit plot - - TCanvas* canvasFit = new TCanvas("canvasFit", "canvasFit", 700, 500); - canvasFit->cd(); - - ttbar_Con->SetFillColor(kRed+1); - wjets_Con->SetFillColor(kGreen-3); - zjets_Con->SetFillColor(kAzure-2); - qcd_Con ->SetFillColor(kYellow); - // stop_Con->SetFillColor(kOrange); - - - - hs->Add(qcd_Con); - hs->Add(zjets_Con); - hs->Add(wjets_Con); - // hs->Add(stop_Con); - hs->Add(ttbar_Con); - - result->SetLineStyle(1); // 1 = solid, 2 = dashed, 3 = dotted - result->SetLineColor(kViolet-3); // black (default) - result->SetLineWidth(3); - - data->Sumw2(); - data->SetMarkerStyle(20); - data->SetMarkerSize(1.2); - data->SetLineWidth(1); - double h_max = data->GetMaximum(); - data->SetMaximum(1.2*h_max); - data->GetXaxis()->SetTitle("|#eta|(#mu)"); - data->GetYaxis()->SetTitle("Events/(0.2)"); - data->SetAxisRange(0.,2.6); - canvasFit->SetLogy(0); - hs->SetTitle(""); - - data->Draw(); - hs->Draw("same"); - - //result->Draw("same"); - data->Draw("same"); - - - TLegend* legFit = new TLegend(0.66, 0.6, 0.96, 0.92); - legFit->SetBorderSize(0); - legFit->SetTextFont(42); - legFit->SetFillColor(0); - - legFit->AddEntry(data , " Data", "LPE"); -// legFit->AddEntry(result , " Fit", "L"); - legFit->AddEntry(ttbar_Con, " t#bar{t}+single top", "F"); - // legFit->AddEntry(stop_Con , " Single-Top", "F"); - legFit->AddEntry(wjets_Con, " W#rightarrowl#nu", "F"); - legFit->AddEntry(zjets_Con, " Z/#gamma*#rightarrowl^{+}l^{-}", "F"); - legFit->AddEntry(qcd_Con , " QCD", "F"); - - legFit->SetTextSize(0.04); - - legFit->Draw("same"); - - TText* textPrelim = doPrelim(lumi,0.16,0.96); - textPrelim->Draw(); - - gPad->RedrawAxis(); - canvasFit->SaveAs("../pasPlots/Fit"+num+".png"); - canvasFit->SaveAs("../pasPlots/Fit"+num+".pdf"); - - cout << "To exit, quit ROOT from the File menu of the plot" << endl; - canvasFit->SetLogy(0); - data->SetAxisRange(0.,2.6); - //canvasFit->SaveAs("../pasPlots/Fit.png"); - //canvasFit->SaveAs("../pasPlots/Fit.pdf"); - - return 0; - -} - -//------------------------------------------------------------------------- - -// function to read in the data from a histogram -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins){ - - - TH1F *h_data = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"data"); - - -// TFile* output = TFile::Open("muData.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// h_data->SetName("muData"); -// h_data->Write(); - - - - nbins = h_data->GetNbinsX(); - - xmax = xmin + nxbins*(h_data->GetBinWidth(1)); - - cout<<"num of bins: "<GetBinContent(ibin+1) << "," << h_data->GetBinError(ibin+1) << "}, "; - int nn = h_data->GetBinContent(ibin+1); - - data_Vec.push_back(nn); - - Ntotal += nn; - - } - - - //std::cout<< "}" << std::endl; - // cout <<" \n Total number of events before the fit" << endl; - //cout <<" Data: \t "<& vect, vector& vect_err){ - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+templ); - - //std::cout<<"test: "<Integral()<Scale(1./his_mc_array->Integral()); - //std::cout<<"test: "<GetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - //std::cout << "{" << his_mc_array->GetBinContent(ibin+1) << "," << his_mc_array->GetBinError(ibin+1) << "}, "; - - } - //std::cout<< "}" << std::endl; - -} - - -void getSignalFromHis(TFile* inputFile, TString& jet_num, int& nxbins, vector& vect, vector& vect_err){ - - - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"signal"); - his_mc_array->Scale(1./his_mc_array->Integral()); - - - - -// TFile* output = TFile::Open("signal.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// his_mc_array->SetName("SignalTemplate"); -// his_mc_array->Write(); - -//std::cout << ": {" << std::endl; - for(int ibin=0; ibinGetBinContent(ibin+1) << "," << his_mc_array->GetBinError(ibin+1) << "}, "; - - vect.push_back(his_mc_array->GetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - } -//std::cout<< "}" << std::endl; - -} -//------------------------------------------------------------------------- - -// fcn passes back f = - 2*ln(L), the function to be minimized. not sure if N_{single top} is obtained from fitting -void fcn(int& npar, double* deriv, double& f, double par[], int flag){ - - double lnL = 0.0; - - - for (int i=0; i0){ - nqcd = NQCD; - } - else{ - nqcd = 0.00000001; - } - double nqcd_err = nqcd*1.; - - //cout << "qcd:" << NQCD << " ,par3: " << par[3] << endl; - - //double r = nwjets/nzjets; - //double r_err = r*0.01; - - //f += (par[1]/par[2]-r)*(par[1]/par[2]-r)/r_err/r_err; - //Wjets constrain -// f += (par[1]-nwjets)*(par[1]-nwjets)/nwjets_err/nwjets_err; -// //Zjets constrain -// f += (par[2]-nzjets)*(par[2]-nzjets)/nzjets_err/nzjets_err; -// //QCD constrain -// f += (par[3]-nqcd)*(par[3]-nqcd)/nqcd_err/nqcd_err; - - //Ratio Constrain - //f += ( (par[1]/par[2] - nwjets/nzjets) / (0.3 *nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ); //chi4? - - - //ratio constraints - f += ( (par[2]/par[1] - nzjets/nwjets) / (0.05 *nzjets/nwjets) ) * ( (par[2]/par[1] - nzjets/nwjets) / (0.05*nzjets/nwjets) ); //swap - - - f += ((par[3]-nqcd)*(par[3]-nqcd))/nqcd_err/nqcd_err; - - - -} - -/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// -TText* doPrelim(float luminosity, float x, float y) -{ - std::ostringstream stream; - stream <<"#mu, #geq 4 jets, #geq 2 b-tags CMS Preliminary, L = 5.0 fb^{-1} @ #sqrt{s} = 7 TeV"; - - TLatex* text = new TLatex(x, y, stream.str().c_str()); - //text->SetTextAlign(33); //left - //text->SetTextAlign(22); //center - //text->SetTextAlign(11); //right -text->SetNDC(true); -text->SetTextFont(42); -text->SetTextSize(0.035); // for thesis - - return text; -} diff --git a/scripts/forLuke/diffTempFit.cc b/scripts/forLuke/diffTempFit.cc deleted file mode 100644 index 24a53b32..00000000 --- a/scripts/forLuke/diffTempFit.cc +++ /dev/null @@ -1,823 +0,0 @@ -/*A C++ program to use of ROOT class TMinuit for function minimization.It shows a Maximum Likelihood fit for the mean of a binned Poisson pdf in which TMinuit minimizes - - 2*log(L). fcn passes back f = -2*ln L by reference; this is the function to minimize. - - The factor of -2 allows MINUIT to get the errors using the same recipe as for least squares, i.e., go up from the minimum by 1. - - TMinuit does not allow fcn to be a member function, and the function arguments are fixed, so the one of the only ways to bring the data into fcn is to declare a poi -nter to the data (xVecPtr) as global. - - For more info on TMinuit see root.cern.ch/root/html/TMinuit.html . - -*/ - -#include -#include -#include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include "TLatex.h" -#include "TText.h" -#include "TLegend.h" -#include "TFile.h" -#include "TGraphAsymmErrors.h" - -#include "tdrstyle.C" - -using namespace std; -// Declare pointer to data as global (not elegant but TMinuit needs this). -vector data_Vec; //input data - -vector ttbar_Vec; //ttbar+single top template from mc -vector wjets_Vec; //wjest template from data driven method -vector zjets_Vec; //zjets template from data driven method -vector qcd_Vec; //qcd template from data drive method - -vector ttbar_err_Vec; -vector wjets_err_Vec; //wjest template from data driven method -vector zjets_err_Vec; //zjets template from data driven method -vector qcd_err_Vec; //qcd template from data drive method - - -int Ntotal; //define as global, got in getDataFromHis function -int nbins; //define as global, also got in getDataFromHis function, and it is been used in getTemFromHis function - -//double xbins[13] = {0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4}; - - -double xmin = 0; -double xmax; //calculate in getDataFromHis function - -void fcn(int& npar, double* deriv, double& f, double par[], int flag); -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins); -void getSignalFromHis(TFile* inputFile, TString& jet_num, TString& syst, int& nxbins, vector& vect, vector& vect_err); -void getTemFromHis(TFile* inputFile, TString& templ, TString& jet_num, int& nxbins, vector& vect, vector& vect_err); - - -TText* doPrelim(float luminosity, float x, float y); - -//double lumi = 964.6; -//double lumi = 987.2; -double lumi = 4973.4; - - double Nsignal; - double Nwjets; - double Nzjets; - double NQCD; - double NSinglT; - double Nttbar; - double NtotPass; - double NttbarUp; - double NtotPassUp; - double NttbarDown; - double NtotPassDown; - - double NttbarUpMat; - double NtotPassUpMat; - double NttbarDownMat; - double NtotPassDownMat; - - double NttbarNLO; - double NtotPassNLO; - double NttbarPOW; - double NtotPassPOW; - - //scale for bin - double bin2bin[5] = {1.1319 , 1.0636 , 0.934024 , 0.902389 , 0.98126}; - -//------------------------------------------------------------------------- - -int diffTempFit() { -setTDRStyle(); -gStyle->SetTitleYOffset(1.6); -//asymerrors - int n = 5; - double x[n]; - double y[n]; - double exl[n]; - double exh[n]; - -double theorNum = 0; -double nloNum = 0; -double powhegNum = 0; - -//syst -double upNum = 0; -double downNum = 0; -double mupNum = 0; -double mdownNum = 0; - -double theorXsect = 157.5; -double totXsect = 0; - - // Choose the jet multiplicity - TString jet_num = "2b_"; - TString jet_num_temp = "ge2j"; - - TString metBin[5] = {"1","2","3","4","5"}; - -//choose what to use -TString templ = "_central"; - - - //differential histo - double xbins[6]= {1,25,45,70,100,150}; - //histograms for comaprison - //diff generators - TH1D *theor = new TH1D("theor", "", 5, xbins); - TH1D *nlo = new TH1D("nlo", "", 5, xbins); - TH1D *powheg = new TH1D("powheg", "", 5, xbins); - //syst samples - TH1D *sysup = new TH1D("sysup", "", 5, xbins); - TH1D *sysdown = new TH1D("sysdown", "", 5, xbins); - TH1D *mup = new TH1D("mup", "", 5, xbins); - TH1D *mdown = new TH1D("mdown", "", 5, xbins); - //measured - TH1D *measured = new TH1D("meas", "", 5, xbins); //muon - TH1D *ele = new TH1D("ele", "", 5, xbins); - TH1D *comb = new TH1D("comb", "", 5, xbins); - //compare histo - TH1D *nominal = new TH1D("nominal", "", 5, xbins); - - TString syst = "ttbar"; - - for(int met = 0; met<5; met++){ - //for systematics - TFile* f_central = TFile::Open("PFhistosForFitting_met"+metBin[met]+templ+".root"); - TFile* f_all = TFile::Open("PFhistosForFitting_metall"+templ+".root"); - TFile* f_templates = TFile::Open("QCDetaData.root"); - - TH1D* signal = (TH1D*) f_central->Get("metEta_h_"+jet_num+"signal"); - TH1D* wjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"wjets"); - TH1D* zjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"zjets"); - TH1D* SinglT = (TH1D*) f_central->Get("metEta_h_"+jet_num+"SinglT"); - TH1D* ttbar = (TH1D*) f_central->Get("metEta_h_"+jet_num+"ttbar"); - - TH1D* QCD = (TH1D*) f_central->Get("metEta_h_"+jet_num+"QCD"); - TH1D* tt_Z = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_Z"); - TH1D* tt_W = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_W"); - TH1D* DATA = (TH1D*) f_central->Get("metEta_h_"+jet_num+"data"); - TH1D* QCData = (TH1D*) f_templates->Get("metEta_h_"+jet_num_temp); - - TH1D* ttbarAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"ttbar"); - -// TH1D* signal_sys = (TH1D*) f_->Get("metEta_h_"+jet_num+"signal"); -// TH1D* wjets_sys = (TH1D*) f_sys->Get("metEta_h_"+jet_num+"wjets"); -// TH1D* zjets_sys = (TH1D*) f_sys->Get("metEta_h_"+jet_num+"zjets"); - - //for other gens - TH1D* ttbar_nlo = (TH1D*) f_central->Get("metEta_h_"+jet_num+"nlo"); - TH1D* ttbar_powheg = (TH1D*) f_central->Get("metEta_h_"+jet_num+"powheg"); - TH1D* ttbar_nloAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"nlo"); - TH1D* ttbar_powhegAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"powheg"); - - //for sys up/down - - TH1D* ttbar_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_qup"); - TH1D* ttbar_sysdown = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_qdown"); - TH1D* ttbarUpAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_qup"); - TH1D* ttbarDownAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_qdown"); - - TH1D* ttbar_mup = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_mup"); - TH1D* ttbar_mdown = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_mdown"); - TH1D* ttbarUpAllMat = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_mup"); - TH1D* ttbarDownAllMat = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_mdown"); - - //Choose rebin factor... -int rebinF = 8; -// if(met==4){ -// rebinF=4; -// } - -// signal_sys->Rebin(rebinF); - ttbar_sys->Rebin(rebinF); -// wjets_sys->Rebin(rebinF); -// zjets_sys->Rebin(rebinF); - - ttbar_sysdown->Rebin(rebinF); - - ttbar_mup->Rebin(rebinF); - ttbar_mdown->Rebin(rebinF); - - ttbar_nlo->Rebin(rebinF); - ttbar_powheg->Rebin(rebinF); - - - signal->Rebin(rebinF); - wjets->Rebin(rebinF); - zjets->Rebin(rebinF); - QCD->Rebin(rebinF); - SinglT->Rebin(rebinF); - ttbar->Rebin(rebinF); - tt_Z->Rebin(rebinF); - tt_W->Rebin(rebinF); - DATA->Rebin(rebinF); - QCData->Rebin(rebinF/2); - - - cout << "input params: " << endl; - //systematic samples - NttbarUp = ttbar_sys->Integral(); - NtotPassUp = ttbarUpAll->Integral(); - NttbarDown = ttbar_sysdown->Integral(); - NtotPassDown = ttbarDownAll->Integral(); - NttbarUpMat = ttbar_mup->Integral(); - NtotPassUpMat = ttbarUpAllMat->Integral(); - NttbarDownMat = ttbar_mdown->Integral(); - NtotPassDownMat = ttbarDownAllMat->Integral(); - - NttbarNLO = ttbar_nlo->Integral(); - NtotPassNLO = ttbar_nloAll->Integral(); - NttbarPOW = ttbar_powheg->Integral(); - NtotPassPOW = ttbar_powhegAll->Integral(); - - Nsignal = signal->Integral(); - Nwjets = wjets->Integral(); - Nzjets = zjets->Integral(); - NQCD = QCD->Integral(); - NSinglT = SinglT->Integral(); - Nttbar = ttbar->Integral(); - NtotPass = ttbarAll->Integral(); - - -double Ntt_Z =tt_Z->Integral(); -double Ntt_W =tt_W->Integral(); -double tot = Nttbar+NSinglT+NQCD+Nzjets+Nwjets+Ntt_Z+Ntt_W; -double Ndata = DATA->Integral(); - cout << "all tt: " << NtotPass << endl; - cout << "signal: " << Nsignal << endl; - cout << "wjets: " << Nwjets<< endl; - cout << "zjets: " << Nzjets << endl; - cout << "qcd: " << NQCD << endl; - - TString wstring = "wjets"; - TString zstring = "zjets"; - TString qcdstring = ""; - - - // Read in the data and templates. - getDataFromHis(f_central, jet_num, nbins); // Get data histrogram form central selection - getSignalFromHis(f_central, jet_num, syst, nbins, ttbar_Vec, ttbar_err_Vec);// Get ttbar, single-top histrograms form MC with entral selection - - getTemFromHis(f_central, wstring, jet_num, nbins, wjets_Vec, wjets_err_Vec); - getTemFromHis(f_central, zstring, jet_num, nbins, zjets_Vec, zjets_err_Vec); - getTemFromHis(f_templates, qcdstring, jet_num_temp, nbins, qcd_Vec, qcd_err_Vec); - - f_central->Close(); - f_templates->Close(); - - // Initialize minuit, set initial values etc. of parameters. - const int npar = 4; // the number of parameters - TMinuit minuit(npar); - minuit.SetFCN(fcn); - - //minuit.SetPrintLevel(1); - minuit.SetPrintLevel(-1); - minuit.SetErrorDef(1.); - - double fraction= NSinglT/Nsignal; - - int ierflg = 0; - string parName[npar] = {"ttbar+single-top", "wjets", "zjets", "qcd"}; //background parameters - double par[npar] = {Nsignal, Nwjets, Nzjets, NQCD}; //using the MC estimation as the start values 1fb - - cout << "total data events: " << Ntotal << endl; - - for(int i=0; iGetBinWidth(met+1); - -measured->SetBinContent(met+1,xs_fit/width); -measured->SetBinError(met+1,(xs_fitup-xs_fit)/width); - -nlo->SetBinContent(met+1,nloNum/157.5/width); -powheg->SetBinContent(met+1,powhegNum/157.5/width); -theor->SetBinContent(met+1, (bin2bin[met]*theorNum/157.5/width)); - -sysup->SetBinContent(met+1, (bin2bin[met]*upNum/157.5/width)); -sysdown->SetBinContent(met+1, (bin2bin[met]*downNum/157.5/width)); -mup->SetBinContent(met+1, (bin2bin[met]*mupNum/157.5/width)); -mdown->SetBinContent(met+1, (bin2bin[met]*mdownNum/157.5/width)); - - -x[met] = measured->GetBinCenter(met+1); -y[met] = xs_fit/width; -//exl[met] = measured->GetBinWidth(met+1)/2.; -//exh[met] = measured->GetBinWidth(met+1)/2.; -exl[met] = 0.; -exh[met] = 0.; -} //end of met loop - -//uncertainties***************************************************************************** -//double tempStat[5] = {1.806/25./157.5, 1.888/20./157.5, 2.051/25./157.5, 1.072/30./157.5, 1.215/50./157.5}; -double tempStat[5] = {0,0,0,0,0}; - -double JESup[5] = {0.00018686 , 0.000254873 , 0.000181984 , -0.000525503 , 3.26796e-05}; -double JESdown[5] = {0.000223406 , -0.000362 , 0.000248638 , -0.000246032 , 6.08773e-05}; - -double METup[5] = {0.000385347 , 3.01644e-05 , -0.000476814 , 2.71308e-05 , 2.51081e-05}; -double METdown[5] = {0.000366172 , -0.000133105 , -0.000195811 , -3.46826e-05 , -3.79334e-06}; - -double PUup[5] = {0.000132928 , -2.48779e-05 , 6.61007e-07 , -1.04251e-06 , -5.35471e-05}; -double PUdown[5] = {-6.59201e-05 , -6.32625e-06 , 1.66483e-05 , 1.09521e-05 , 1.92887e-05}; - -double Bup[5] = {-3.1983e-06 , 3.08789e-05 , -7.06707e-06 , -3.20028e-06 , -5.35066e-06}; -double Bdown[5] = {-9.95133e-06 , 4.11996e-05 , -1.62558e-05 , -7.1995e-06 , 7.56417e-07}; - -double Qallup[5] = {-0.000130589 , -2.90699e-05 , 0.000226989 , -3.44631e-05 , -1.84942e-05}; -double Qalldown[5] = {0.000957462 , -0.000710205 , 0.000534231 , -0.000654179 , -5.00956e-05}; - -double Mallup[5] = {0.000307849 , -0.000103324 , -0.000125457 , -5.91573e-05 , -8.203e-06}; -double Malldown[5] = {0.00023947 , -0.000892247 , 0.000806758 , -5.76717e-05 , -0.000126811}; - -double singletD[5] = {7.87955e-06 , -4.22954e-06 , -1.23691e-05 , -4.43155e-06 , 6.75271e-06}; -double singletU[5] = {-8.08991e-06 , 4.34e-06 , 1.26758e-05 , 4.5571e-06 , -6.9254e-06}; - -double idUp[5] = {5.99454e-05 , 0.000150228 , 0.000116607 , -0.000280843 , 2.13493e-05}; -double idDown[5] = {7.70397e-05 , 0.000146588 , 9.50871e-05 , -0.000283887 , 2.71862e-05}; - - -double lumiD[5] = {5.67361e-05 , 0.00018803 , 0.000108069 , -0.000301307 , 2.43164e-05}; -double lumiU[5] = {6.65391e-05 , 0.000143872 , 0.000125036 , -0.000292431 , 2.34648e-05}; - -double pdf[5] = {2.71e-05 , 3.66e-05 , 1.28e-05 , 1.33e-05 , 1.03e-05}; - -double stat[5] = {0.000236782 , 0.0003032 , 0.000233202 , 6.27219e-05 , 8.94673e-05}; - -double up[5], down[5]; - -for(int bin = 0; bin < 5; bin++ ){ -down[bin] =sqrt(pow(JESdown[bin],2)+pow(Qalldown[bin],2)+pow(Malldown[bin],2)+pow(singletD[bin],2)+pow(lumiD[bin],2)+pow(pdf[bin],2)+pow(METdown[bin],2)+pow(stat[bin],2)+pow(tempStat[bin],2)+pow(PUdown[bin],2)+pow(Bdown[bin],2)+pow(idDown[bin],2)); -up[bin] =sqrt(pow(JESup[bin],2)+pow(Qallup[bin],2)+pow(Mallup[bin],2)+pow(singletD[bin],2)+pow(lumiD[bin],2)+pow(pdf[bin],2)+pow(METup[bin],2)+pow(stat[bin],2)+pow(tempStat[bin],2)+pow(PUup[bin],2)+pow(Bup[bin],2)+pow(idUp[bin],2)); - - -y[bin] = (bin2bin[bin]*y[bin])/totXsect; - -} - -//electron values for >=2btags - double eleres[5] = {0.01*0.70, 0.01*1.25, 0.01*1.08, 0.01*0.56, 0.01*0.27}; - double eleyl[5] = {sqrt(pow(0.01*0.12,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.01,2)+pow(0.01*0.06,2)),sqrt(pow(0.01*0.19,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.05,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.03,2)+pow(0.01*0.01 ,2))}; - double eleyh[5] = {sqrt(pow(0.01*0.04,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.37,2)+pow(0.01*0.06,2)),sqrt(pow(0.01*0.03,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.07,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.01,2)+pow(0.01*0.01 ,2))}; -//electron values for geq to 4jets -// double eleres[5] = {0.01*0.39, 0.01*0.99, 0.01*1.25, 0.01*0.73, 0.01*0.35}; -// double eleyl[5] = {sqrt(pow(0.01*0.51,2)+pow(0.01*0.07 ,2)),sqrt(pow(0.01*0.10,2)+pow(0.01*0.09,2)),sqrt(pow(0.01*0.40,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.02,2)+pow(0.01*0.39,2)),sqrt(pow(0.01*0.17,2)+pow(0.01*0.02 ,2))}; -// double eleyh[5] = {sqrt(pow(0.01*0.76,2)+pow(0.01*0.07 ,2)),sqrt(pow(0.01*0.63,2)+pow(0.01*0.09,2)),sqrt(pow(0.01*0.24,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.02,2)+pow(0.01*0.12,2)),sqrt(pow(0.01*0.08,2)+pow(0.01*0.02 ,2))}; - - //electron values******************************************************************** -TGraphAsymmErrors* grele = new TGraphAsymmErrors(n,x,eleres,exl,exh,eleyl,eleyh); - grele->SetMarkerStyle(20); - grele->SetMarkerColor(4); - grele->SetLineColor(4); - grele->SetMarkerStyle(26); - - for(int bin = 0; bin < 5; bin++){ - ele->SetBinContent(bin+1,eleres[bin]); - ele->SetBinError(bin+1,0.000001); - } - - ele->SetMarkerStyle(20); - ele->SetMarkerColor(4); - ele->SetLineColor(4); - - //muon values************************************************************************* - double eyl[5] = {down[0],down[1],down[2],down[3],down[4]}; - double eyh[5] = {up[0],up[1],up[2],up[3],up[4]}; - TGraphAsymmErrors* gr = new TGraphAsymmErrors(n,x,y,exl,exh,eyl,eyh); - gr->SetMarkerColor(1); - gr->SetMarkerStyle(20); - gr->SetFillStyle(3004); - - - TCanvas *c= new TCanvas("c","c",10,10,800,600); - - - -measured->SetMarkerStyle(20); -measured->Scale(1./ totXsect); -std::cout << "total measured x sect: " << totXsect << std::endl; - -//cout.precision(3); -//std::cout << "temp stat: " << std::endl; -//for(int i = 0; i<5; i++){ -//std::cout << tempStat[i] << "(" << (tempStat[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -//} - - //central -// double central[5] = {0.00609465 , 0.0145213 , 0.0116628 , 0.00549336 , 0.00213862}; -//central fit - double central[5] = {0.00616768 , 0.0143576 , 0.0116077 , 0.00554829 , 0.00216365}; - -//std::cout << (measured->GetBinError(1)/y[0])*100 << " , " << (measured->GetBinError(2)/y[1])*100 << " , " << (measured->GetBinError(3)/y[2])*100 << " , " << (measured->GetBinError(4)/y[3])*100 << " , " << (measured->GetBinError(5)/y[4])*100 << std::endl; - - //uncertaint write out for muon -// std::cout << "tot up: " << std::endl; -// for(int i = 0; i<5; i++){ -// std::cout << up[i] << "(" << (up[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -// } -// std::cout << "tot down: " << std::endl; -// for(int i = 0; i<5; i++){ -// std::cout << down[i] << "(" << (down[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -// } - - -//Combination!!!********************************************************************************* -//std::cout << " combined vals: " << std::endl; -//combination stuff -double val[5]; double combUp[5]; double combDown[5]; -for(int i = 0; i<5; i++){ -double valnum = (measured->GetBinContent(i+1)/pow(up[i],2))+(measured->GetBinContent(i+1)/pow(down[i],2))+(eleres[i]/pow(eleyh[i],2))+(eleres[i]/pow(eleyl[i],2)); -double den = (1./pow(up[i],2))+(1./pow(down[i],2))+(1./pow(eleyh[i],2))+(1./pow(eleyl[i],2)); -val[i] = valnum/den; - -combUp[i] = sqrt(1./(1./pow(up[i],2)+pow(eleyh[i],2))); -combDown[i] = sqrt(1./(1./pow(down[i],2)+pow(eleyl[i],2))); - -//std::cout << val[i] << " , " ; -comb->SetBinContent(i+1, val[i]); -comb->SetBinError(i+1, 0.00000000001); -} - -TGraphAsymmErrors* grcomb = new TGraphAsymmErrors(n,x,val,exl,exh,combDown,combUp); - grcomb->SetMarkerStyle(20); - grcomb->SetMarkerColor(7); - grcomb->SetLineColor(7); - grcomb->SetMarkerStyle(20); - - comb->SetMarkerStyle(20); - comb->SetMarkerColor(7); - comb->SetLineColor(7); - -//show nominal calculated values -for(int i =1; i < 6; i++){ -nominal->SetBinContent(i,central[i-1]); - } - - - //plot colors - theor->SetLineColor(kRed+1); - sysup->SetLineColor(kBlue); - sysdown->SetLineColor(kRed+1); - mup->SetLineColor(kMagenta+3); - mdown->SetLineColor(kGreen + 4); - //theor->SetFillColor(kRed+1); - nominal->SetLineColor(kWhite); - - theor->SetLineStyle(7); - sysup->SetLineStyle(7); - sysdown->SetLineStyle(7); - mup->SetLineStyle(7); - mdown->SetLineStyle(7); - - nlo->SetLineStyle(7); - powheg->SetLineStyle(7); - nlo->SetLineColor(kMagenta+3); - powheg->SetLineColor(kBlue); - -theor->SetMinimum(0); -theor->SetMaximum(0.02); - -//nominal->Draw(); - -theor->Draw(); -//sysup->Draw(); - -//theor->SetMaximum(0.018); -//nominal->Draw("same"); -//measured->Draw("Esame"); -//ele->Draw("Esame"); -gr->Draw("P"); -//ele and combined -//grele->Draw("Esame"); -//comb->Draw("Esame"); -//grcomb->Draw("Esame"); - -//nominal->Draw("same"); - -//systs -// sysup->Draw("same"); -// sysdown->Draw("same"); -// mup->Draw("same"); -// mdown->Draw("same"); - -//gens -nlo->Draw("same"); -powheg->Draw("same"); - -//too see effect of an uncertainty for input of uncertainty - -//cout.precision(4); -//too see effect of an uncertainty - -std::cout << " output: " << std::endl; -for(int bin = 1; bin<=5; bin++){ - std::cout << measured->GetBinContent(bin)-nominal->GetBinContent(bin) << " , " ; - // std::cout << measured->GetBinError(bin) << " , "; -} -std::cout << " " << std::endl; -cout.precision(3); -for(int bin = 1; bin<=5; bin++){ -std::cout << 100*measured->GetBinContent(bin) << " \\pm " << 100*stat[bin-1] << " (fit)^{+" << 100*up[bin-1] << "}_{-"<<100*down[bin-1] << "} (sys)" << std::endl; - -//std::cout << 100*(measured->GetBinContent(bin)-nominal->GetBinContent(bin))/measured->GetBinContent(bin) << "\\\% & " ; - //std::cout << 100*(up[bin-1])/measured->GetBinContent(bin) << "\\\% & " ; - //std::cout << 100*(measured->GetBinError(bin)/measured->GetBinContent(bin)) << "\\% & "; -} - -std::cout << totXsect << std::endl; - -//legend - TLegend *tleg; - tleg = new TLegend(0.65,0.75,0.9,0.9); - tleg->SetTextSize(0.03); - tleg->SetBorderSize(0); - tleg->SetFillColor(10); - - - tleg->AddEntry(gr , "data '11'" , "lep"); -// tleg->AddEntry(ele , "e+jets (#geq 4 jets, #geq 2 btags)" , "lpe"); -// tleg->AddEntry(ele , "e+jets (#geq 4 jets)" , "lpe"); -// tleg->AddEntry(comb , "combined" , "lpe"); - - tleg->AddEntry(theor , "t#bar{t} (MADGRAPH)" , "l"); - tleg->AddEntry(powheg , "t#bar{t} (POWHEG)" , "l"); - tleg->AddEntry(nlo , "t#bar{t} (MC@NLO)" , "l"); - //for sys -// tleg->AddEntry(sysdown , "t#bar{t} (Q^{2} down) " , "l"); -// tleg->AddEntry(sysup , "t#bar{t} (Q^{2} up) " , "l"); -// tleg->AddEntry(mdown , "t#bar{t} (matching threshold 10 GeV)" , "l"); -// tleg->AddEntry(mup , "t#bar{t} (matching threshold 40 GeV)" , "l"); - -//tleg->AddEntry(nominal , "no trigger corrections" , "l"); - - tleg->Draw("same"); - - - -//titles -theor->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{#partial #sigma}{#partial MET} [GeV^{-1}]");theor->GetYaxis()->SetTitleSize(0.05); -theor->GetXaxis()->SetTitle("MET [GeV]"); theor->GetXaxis()->SetTitleSize(0.05); -sysup->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{#partial #sigma}{#partial MET} [GeV^{-1}]");sysup->GetYaxis()->SetTitleSize(0.05); -sysup->GetXaxis()->SetTitle("MET [GeV]"); sysup->GetXaxis()->SetTitleSize(0.05); - - TText* textPrelim = doPrelim(lumi,0.16,0.96); - textPrelim->Draw(); - -//c->SetLogy(1); - -c->SaveAs("../pasPlots/compGen.png"); -c->SaveAs("../pasPlots/compGen.pdf"); - -return 0; - -} - -//------------------------------------------------------------------------- - -// function to read in the data from a histogram -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins){ - - TH1F *h_data = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"data"); -Ntotal=0; - -// TFile* output = TFile::Open("muData.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// h_data->SetName("muData"); -// h_data->Write(); - - - - nbins = h_data->GetNbinsX(); - - xmax = xmin + nxbins*(h_data->GetBinWidth(1)); - - cout<<"num of bins: "<GetBinContent(ibin+1); - - data_Vec.push_back(nn); - - Ntotal += nn; - - } - - // cout <<" \n Total number of events before the fit" << endl; - //cout <<" Data: \t "<& vect, vector& vect_err){ - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+templ); - - //std::cout<<"test: "<Integral()<Scale(1./his_mc_array->Integral()); - //std::cout<<"test: "<GetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - //std::cout << "{" << his_mc_array->GetBinContent(ibin+1) << "," << his_mc_array->GetBinError(ibin+1) << "}, "; - - } - //std::cout<< "}" << std::endl; - -} - - -void getSignalFromHis(TFile* inputFile, TString& jet_num, TString& syst,int& nxbins, vector& vect, vector& vect_err){ - - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+syst); - TH1F* his_mc_stop = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"SinglT"); - his_mc_array->Add(his_mc_stop); - - his_mc_array->Scale(1./his_mc_array->Integral()); - - - - -// TFile* output = TFile::Open("signal.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// his_mc_array->SetName("SignalTemplate"); -// his_mc_array->Write(); - - - for(int ibin=0; ibinGetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - } - - -} -//------------------------------------------------------------------------- - -// fcn passes back f = - 2*ln(L), the function to be minimized. not sure if N_{single top} is obtained from fitting -void fcn(int& npar, double* deriv, double& f, double par[], int flag){ - - double lnL = 0.0; - - - for (int i=0; i0){ - nqcd = NQCD; - } - else{ - nqcd = 0.00000001; - } - double nqcd_err = nqcd*1.; - - //cout << "qcd:" << NQCD << " ,par3: " << par[3] << endl; - - //double r = nwjets/nzjets; - //double r_err = r*0.01; - - //f += (par[1]/par[2]-r)*(par[1]/par[2]-r)/r_err/r_err; - //Wjets constrain -// f += (par[1]-nwjets)*(par[1]-nwjets)/nwjets_err/nwjets_err; -// //Zjets constrain -// f += (par[2]-nzjets)*(par[2]-nzjets)/nzjets_err/nzjets_err; -// //QCD constrain -// f += (par[3]-nqcd)*(par[3]-nqcd)/nqcd_err/nqcd_err; - - //Ratio Constrain - //f += ( (par[1]/par[2] - nwjets/nzjets) / (0.3 *nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ); //chi4? - - - //ratio constraints - f += ( (par[2]/par[1] - nzjets/nwjets) / (0.05 *nzjets/nwjets) ) * ( (par[2]/par[1] - nzjets/nwjets) / (0.05*nzjets/nwjets) ); //swap - - - f += ((par[3]-nqcd)*(par[3]-nqcd))/nqcd_err/nqcd_err; - - -} - -/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// -TText* doPrelim(float luminosity, float x, float y) -{ - std::ostringstream stream; - stream <<"#mu, #geq 4 jets, #geq 2 b-tags CMS Preliminary, L = 5.0 fb^{-1} @ #sqrt{s} = 7 TeV"; - - TLatex* text = new TLatex(x, y, stream.str().c_str()); - //text->SetTextAlign(33); //left - //text->SetTextAlign(22); //center - //text->SetTextAlign(11); //right -text->SetNDC(true); -text->SetTextFont(42); -text->SetTextSize(0.035); // for thesis - - return text; -} diff --git a/scripts/forLuke/pseudoExpsData.C b/scripts/forLuke/pseudoExpsData.C deleted file mode 100644 index f0772cd4..00000000 --- a/scripts/forLuke/pseudoExpsData.C +++ /dev/null @@ -1,684 +0,0 @@ -/*A C++ program to use of ROOT class TMinuit for function minimization.It shows a Maximum Likelihood fit for the mean of a binned Poisson pdf in which TMinuit minimizes - - 2*log(L). fcn passes back f = -2*ln L by reference; this is the function to minimize. - - The factor of -2 allows MINUIT to get the errors using the same recipe as for least squares, i.e., go up from the minimum by 1. - - TMinuit does not allow fcn to be a member function, and the function arguments are fixed, so the one of the only ways to bring the data into fcn is to declare a poi -nter to the data (xVecPtr) as global. - - For more info on TMinuit see root.cern.ch/root/html/TMinuit.html . - - Yao Weng 11/30/2009 - -*/ -#include -#include -#include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include "TLatex.h" -#include "TText.h" -#include "TLegend.h" -#include "TFile.h" - -#include "tdrstyle.C" -#include "TRandom3.h" - - -using namespace std; -// Declare pointer to data as global (not elegant but TMinuit needs this). -vector data_Vec; //input data - -vector sig_Vec; //ttbar+single top template from mc -vector ttbar_Vec; //ttbar+single top template from mc -vector SinglT_Vec; //ttbar+single top template from mc -vector wjets_Vec; //wjest template from mc -vector zjets_Vec; //zjets template from mc -vector qcd_Vec; //qcd template from data drive method - -vector sig_err_Vec; -vector ttbar_err_Vec; //ttbar+single top template from mc -vector SinglT_err_Vec; //ttbar+single top template from mc -vector wjets_err_Vec; //wjest template from data driven method -vector zjets_err_Vec; //zjets template from data driven method -vector qcd_err_Vec; //qcd template from data drive method - -vector sig_Vec_Exp; //ttbar+single top template from mc -vector ttbar_Vec_Exp; //ttbar+single top template from mc -vector SinglT_Vec_Exp; //ttbar+single top template from mc -vector wjets_Vec_Exp; //wjest template from data driven method -vector zjets_Vec_Exp; //zjets template from data driven method -vector qcd_Vec_Exp; //qcd template from data drive method - -int Ntotal; //define as global, got in getDataFromHis function -int nbins; //define as global, also got in getDataFromHis function, and it is been used in getTemFromHis function -double total; - -//double xbins[13] = {0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4}; - - -double xmin = 0; -double xmax; //calculate in getDataFromHis function - -void fcn(int& npar, double* deriv, double& f, double par[], int flag); -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins); -void getSignalFromHis(TFile* inputFile, TString& jet_num, int& nxbins, vector& vect, vector& vect_err); -void getTemFromHis(TFile* inputFile, TString& templ, TString& jet_num, int& nxbins, vector& vect, vector& vect_err); - -//added for pseudo exps -void makePseudoData(int metBin, TString sample, vector& vect_exp, vector& vect, vector& vect_err, double Nin, double jes, double q2); -void allPseudoData(vector& vect_data, vector& vect_tt,vector& vect_singl, vector& vect_w, vector& vect_z,vector& vect_qcd); - -TText* doPrelim(float luminosity, float x, float y); - -//double lumi = 964.6; -//double lumi = 987.2; -double lumi = 4973.4; - - double Nsignal; - double Nwjets; - double Nzjets; - double NQCD; - double NSinglT; - double Nttbar; - double NtotPass; - - double NQCD_Exp; -//systematic stuff - double sigJES[5] = {0.0931625,0.0913714,0.0878864,0.0907158,0.0727412}; - double wJES[5] = { 0.177986,0.182469,0.164872,0.145936,0.107857}; - double zJES[5] = { 0.191011,0.165981,0.143306,0.179691,0.104074}; - double qcdJES[5] = { 0.,0.,0.,0.,0.}; - - double sigQ2[5] = {-0.0555018, -0.0561554, -0.0684114, -0.06333, -0.128015}; - //double wQ2A[5] = {0.0409279, 0.0323349,0.0434689, 0.023042, 0.0134098}; - double wQ2A[5] = {0.0, 0.0,0.0, 0.0, 0.0}; - double wQ2B[5] = {-1.29644, -1.25751, -1.27239, -1.19836, -1.44405}; - //double zQ2A[5] = {-0.0109077, -0.00468542, 0.0150196, 0.00462842, 0.00129225}; - double zQ2A[5] = {-0.0, -0.0, 0.0, 0.0, 0.0}; - double zQ2B[5] = {-1.00334, -1.04471, -1.16302, -1.0853, -0.636802}; - - -//------------------------------------------------------------------------- -int pseudoExpsData() { - -int nExperiments = 5000; - -double theorXsect = 157.5; - - // Choose the jet multiplicity - TString jet_num = "2b_"; - TString jet_num_temp = "ge2j"; - - TString dir = "/home/mepgphs/project/CMSSW_4_2_5/CMGTools/CMSSW_4_2_5/src/CMGTools/TtbarMuonJets/metPlots1907/output/"; - - TString number = "2"; - int metBin = 2; - - TFile* f_central = TFile::Open(dir+"PFhistosForFitting_met"+number+"_central.root"); - TFile* f_templates = TFile::Open(dir+"QCDetaData.root"); - TFile* f_all = TFile::Open(dir+"PFhistosForFitting_metall_central.root"); - - TFile* f_sys = TFile::Open(dir+"scaledown_met"+number+"_central.root"); - - TH1D* signal = (TH1D*) f_central->Get("metEta_h_"+jet_num+"signal"); - TH1D* wjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"wjets"); - TH1D* zjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"zjets"); - TH1D* QCD = (TH1D*) f_central->Get("metEta_h_"+jet_num+"QCD"); - TH1D* SinglT = (TH1D*) f_central->Get("metEta_h_"+jet_num+"SinglT"); - TH1D* ttbar = (TH1D*) f_central->Get("metEta_h_"+jet_num+"ttbar"); - TH1D* tt_Z = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_Z"); - TH1D* tt_W = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_W"); - TH1D* DATA = (TH1D*) f_central->Get("metEta_h_"+jet_num+"data"); - TH1D* QCDeta = (TH1D*) f_templates->Get("metEta_h_"+jet_num_temp); - TH1D* ttbarAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"ttbar"); - - TH1D* signal_sys = (TH1D*) f_sys->Get("metEta_h_"+jet_num+"signal"); - - int rebinF = 8; - signal_sys->Rebin(rebinF); - - signal->Rebin(rebinF); - wjets->Rebin(rebinF); - zjets->Rebin(rebinF); - QCD->Rebin(rebinF); - SinglT->Rebin(rebinF); - ttbar->Rebin(rebinF); - tt_Z->Rebin(rebinF); - tt_W->Rebin(rebinF); - DATA->Rebin(rebinF); - QCDeta->Rebin(rebinF/2); - - cout << "input params: " << endl; - Nsignal = signal->Integral(); - Nwjets = wjets->Integral(); - Nzjets = zjets->Integral(); - NQCD = QCD->Integral(); - NSinglT = SinglT->Integral(); - Nttbar = ttbar->Integral(); - NtotPass = ttbarAll->Integral(); -double Ntt_Z =tt_Z->Integral(); -double Ntt_W =tt_W->Integral(); -double tot = Nttbar+NSinglT+NQCD+Nzjets+Nwjets+Ntt_Z+Ntt_W; -double Ndata = DATA->Integral(); - - cout << "signal: " << Nsignal << endl; - cout << "wjets: " << Nwjets << endl; - cout << "zjets: " << Nzjets << endl; - cout << "qcd: " << NQCD << endl; - -// cout << Nttbar << " & " << Nwjets << " & " << Nzjets << " & " << NQCD << " & " << NSinglT << " & " << Ntt_Z << " & " << Ntt_W << " & " << tot << " & " << Ndata <Close(); - f_templates->Close(); - - TH1D* his_beta_fit = new TH1D("his_beta_fit", "", 1500, -0.5, 2.5); //used to plot beta_fit distribution - TH1F* his_pull = new TH1F("his_pull", "", 1000, -10., 10.); //used to plot beta_fit distribution - TH1F* his_result = new TH1F("his_result", "", 1000, 0. , 80.); //used to plot beta_fit distribution - -int iexp =0; -while(iexp < nExperiments) { // loop doing experiments - //data_Vec.erase(data_Vec.begin(),data_Vec.end()); - total = 0; - - //std::cout << "sig before: " << Nsignal << std::endl; - TRandom3* rng = new TRandom3(0); - //JES parameterisation - double delta_JES=1000; - double JESwidth = 1.0; - while(fabs(delta_JES)>2.*JESwidth) - delta_JES=rng->Gaus(0.,JESwidth); - delta_JES = 0.; - - //Q2 for V+jets - double delta_qscale = 1000.; - double Q2width = TMath::Log(2.); -while((TMath::Exp((wQ2B[metBin-1]-zQ2B[metBin-1])*delta_qscale))<0.75||TMath::Exp((wQ2B[metBin-1]-zQ2B[metBin-1])*delta_qscale)>1.25) - delta_qscale = rng->Gaus(0.,Q2width); - delta_qscale = 0.; - - //Q2 for tt+jets - double delta_qscale_tt = 1000.; -while((delta_qscale_tt)>2.*Q2width) - delta_qscale_tt = rng->Gaus(0.,Q2width); - delta_qscale_tt = 0.; - - // makePseudoData(metBin,"ttbar", ttbar_Vec_Exp, ttbar_Vec, ttbar_err_Vec,Nttbar, delta_JES, delta_qscale_tt ); - // makePseudoData(metBin,"SinglT", SinglT_Vec_Exp, SinglT_Vec, SinglT_err_Vec,NSinglT, delta_JES, delta_qscale_tt ); - // makePseudoData(metBin,"wjets", wjets_Vec_Exp, wjets_Vec, wjets_err_Vec,Nwjets, delta_JES, delta_qscale); - // makePseudoData(metBin,"zjets", zjets_Vec_Exp, zjets_Vec, zjets_err_Vec,Nzjets, delta_JES, delta_qscale); - // makePseudoData(metBin,"qcd", qcd_Vec_Exp, qcd_Vec, qcd_err_Vec,NQCD, NQCD_Exp, NQCD_Exp); - - //allPseudoData(data_Vec, ttbar_Vec_Exp, SinglT_Vec_Exp, wjets_Vec_Exp, zjets_Vec_Exp, qcd_Vec_Exp); - -sig_Vec_Exp.erase(sig_Vec_Exp.begin(),sig_Vec_Exp.end()); -wjets_Vec_Exp.erase(wjets_Vec_Exp.begin(),wjets_Vec_Exp.end()); -zjets_Vec_Exp.erase(zjets_Vec_Exp.begin(),zjets_Vec_Exp.end()); -qcd_Vec_Exp.erase(qcd_Vec_Exp.begin(),qcd_Vec_Exp.end()); - -TRandom3* rand = new TRandom3(0); - - for(int i = 0; i < nbins; i++){ - sig_Vec_Exp.push_back(rand->Gaus(sig_Vec[i], sig_err_Vec[i])); - - wjets_Vec_Exp.push_back(rand->Gaus(wjets_Vec[i], wjets_err_Vec[i])); - - zjets_Vec_Exp.push_back(rand->Gaus(zjets_Vec[i], zjets_err_Vec[i])); - - qcd_Vec_Exp.push_back(rand->Gaus(qcd_Vec[i], qcd_err_Vec[i])); - - //std::cout << sig_Vec_Exp[i] << " , " ; - - } - - // Initialize minuit, set initial values etc. of parameters. - const int npar = 4; // the number of parameters - TMinuit minuit(npar); - minuit.SetFCN(fcn); - - minuit.SetPrintLevel(-1); - minuit.SetErrorDef(1.); - - int ierflg = 0; - string parName[npar] = {"ttbar+single-top", "wjets", "zjets", "qcd"}; //background parameters - double par[npar] = {Nsignal, Nwjets, Nzjets, NQCD}; //using the MC estimation as the start values 1fb - - //cout << "total data events: " << Ntotal << endl; - - - for(int i=0; iFill(beta); - his_pull->Fill(pull); - his_result->Fill(xs_fit); - } - -} - -//draw histograms - - TCanvas* cBetaFit = new TCanvas("cBetaFit", "cBetaFit", 10,10,800,600); - cBetaFit->cd(); - //his_beta_fit->Fit("gaus","L"); - //TF1* fitFunction = his_beta_fit->GetFunction("gaus"); - //fitFunction->SetLineWidth(2); - his_beta_fit->Scale(1./his_beta_fit->Integral()); - his_beta_fit->GetXaxis()->SetTitle("#sigma_{fit}/#sigma_{theory}"); - //his_beta_fit->SetAxisRange(1.,1.2) ; - his_beta_fit->Draw(); - - TCanvas* cPull = new TCanvas("cPull", "cPull", 10,10,800,600); - cPull->cd(); - //his_pull->Fit("gaus","L"); - //TF1* fitFunction2 = his_pull->GetFunction("gaus"); - //fitFunction2->SetLineWidth(2); - his_pull->Scale(1./his_pull->Integral()); - his_pull->GetXaxis()->SetTitle("#sigma_{fit}-#sigma_{theory}/#Delta#sigma"); - his_pull->Draw(); - //his_result->SetAxisRange(0.75*his_result->GetMaximum(), 1.25*his_result->GetMaximum() ; - - TCanvas* cRes = new TCanvas("cRes", "cRes", 10,10,800,600); - cRes->cd(); - //his_pull->Fit("gaus","L"); - //TF1* fitFunction2 = his_pull->GetFunction("gaus"); - //fitFunction2->SetLineWidth(2); - his_result->Scale(1./his_result->Integral()); - his_result->GetXaxis()->SetTitle("#sigma_{fit} (pb)"); - his_result->Draw(); - his_result->SetAxisRange(0.5*his_result->GetMean(), 1.5*his_result->GetMean()) ; - - - cBetaFit->SaveAs("notePlots/xbeta_stat"+number+".pdf"); - cBetaFit->SaveAs("notePlots/xbeta_stat"+number+".png"); - cBetaFit->SaveAs("notePlots/xbeta_stat"+number+".eps"); - - cPull->SaveAs("notePlots/xpull_stat"+number+".pdf"); - cPull->SaveAs("notePlots/xpull_stat"+number+".eps"); - cPull->SaveAs("notePlots/xpull_stat"+number+".png"); - - cRes->SaveAs("notePlots/xres_stat"+number+".pdf"); - cRes->SaveAs("notePlots/xres_stat"+number+".eps"); - cRes->SaveAs("notePlots/xres_stat"+number+".png"); - - - // compute the results, you can either use the following code, or use a Guassian to fit his_beta_fit, as nexp is very large here, then his_beta_fit is normally distributed !!!!! but we will find the resutls are the same :D - - double sum=0; - double m2s=-100000.; - double m1s=-100000.; - double cent=-100000.; - double p1s=-100000.; - double p2s=-100000.; - - for(int i=1; iGetNbinsX(); ++i) { - - sum += his_beta_fit->GetBinContent(i); - if(sum > 0.023) { // hit the -2sigam - if(m2s < -10000.) m2s=his_beta_fit->GetBinCenter(i); - if(sum > 0.159) { - if(m1s < -10000.) m1s=his_beta_fit->GetBinCenter(i); - if(sum > 0.5) { - if(cent < -10000.) cent=his_beta_fit->GetBinCenter(i); - if(sum > 0.841) { - if(p1s < -10000.) p1s=his_beta_fit->GetBinCenter(i); - if(sum > 0.977) { - if(p2s < -10000.) p2s=his_beta_fit->GetBinCenter(i); - } - } - } - } - } - } - - std::cout<<" FINAL RESULT:"<Get("metEta_h_"+jet_num+"data"); - - -// TFile* output = TFile::Open("muData.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// h_data->SetName("muData"); -// h_data->Write(); - - - - nbins = h_data->GetNbinsX(); - xmax = xmin + nxbins*(h_data->GetBinWidth(1)); - - //cout<<"num of bins: "<GetBinContent(ibin+1) << "," << h_data->GetBinError(ibin+1) << "}, "; - int nn = h_data->GetBinContent(ibin+1); - - data_Vec.push_back(nn); - - Ntotal += nn; - - } - //std::cout<< "}" << std::endl; - // cout <<" \n Total number of events before the fit" << endl; - //cout <<" Data: \t "<& vect, vector& vect_err){ - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+templ); - - - nbins = his_mc_array->GetNbinsX(); - - //std::cout<<"test: "<Integral()<Scale(1./his_mc_array->Integral()); - //std::cout<<"test: "<GetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - //std::cout << "{" << his_mc_array->GetBinContent(ibin+1) << "," << his_mc_array->GetBinError(ibin+1) << "}, "; - - } - //std::cout<< "}" << std::endl; - -} - - -void getSignalFromHis(TFile* inputFile, TString& jet_num, int& nxbins, vector& vect, vector& vect_err){ - - - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"signal"); - his_mc_array->Scale(1./his_mc_array->Integral()); - - - - -// TFile* output = TFile::Open("signal.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// his_mc_array->SetName("SignalTemplate"); -// his_mc_array->Write(); - - //std::cout << ": {" << std::endl; - for(int ibin=0; ibinGetBinContent(ibin+1) << "," << his_mc_array->GetBinError(ibin+1) << "}, "; - - vect.push_back(his_mc_array->GetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - } - //std::cout<< "}" << std::endl; -} - -//------------------------------------------------------------------------- -//pseudodata -void makePseudoData(int metBin, TString sample,vector& vect_exp, vector& vect, vector& vect_err,double Nin, double jes, double q2){ -TRandom3* rng = new TRandom3(0); - - vect_exp.erase(vect_exp.begin(),vect_exp.end()); - - - -double errJES =0.; -double delta_Q2 = 0.; -// turn off single t and lumi error here -double errSinglT = 1.; -//errSinglT = 1.+rng->Gaus(0., 0.3); -double errLumi = 1.; -//errLumi = 1.+rng->Gaus(0., 0.022); - -if(sample == "ttbar" ||sample == "SinglT" ){ -errJES=sigJES[metBin-1]; -delta_Q2 = sigQ2[metBin-1]*q2 + 1.0; - -} - -if(sample == "wjets"){ -errJES=wJES[metBin-1]; -delta_Q2 = TMath::Exp(wQ2A[metBin-1]+wQ2B[metBin-1]*q2); -} - - -if(sample == "zjets"){ -errJES=zJES[metBin-1]; -delta_Q2 = TMath::Exp(zQ2A[metBin-1]+zQ2B[metBin-1]*q2); - -} - - - double delta_JES = errJES*jes + 1.0; - - - //std::cout << sample << " : "; - -//readin vector - for(int i=0; iGaus(vect_exp[i], vect_err[i]); - vect_exp[i] = thisval; - if(thisval > 0.) - vect_exp[i] = vect_exp[i]*Nin; - else - vect_exp[i] = 0.000; - }else{ - vect_exp[i] = vect_exp[i]*Nin*delta_JES*delta_Q2; - } - - //fluctuate around stat error comment out line below to turn off - //vect_exp[i] = rng->Poisson(vect_exp[i]); - //std::cout << vect_exp[i] << " ," ; - vect_exp[i] = vect_exp[i]*errLumi; - - tot_pois += vect_exp[i]; - } -//std::cout << " " << std::endl; -//std::cout << "apres: " << tot_pois << std::endl; - - -} - -void allPseudoData(vector& vect_data, vector& vect_tt, vector& vect_singl, vector& vect_w,vector& vect_z,vector& vect_qcd){ -//std::cout << "data: " << std::endl; - for(int i=0; i0){ - nqcd = NQCD; - } - else{ - nqcd = 0.00000001; - } - double nqcd_err = nqcd*1.; - - //cout << "qcd:" << NQCD << " ,par3: " << par[3] << endl; - - //double r = nwjets/nzjets; - //double r_err = r*0.01; - - //f += (par[1]/par[2]-r)*(par[1]/par[2]-r)/r_err/r_err; - //Wjets constrain -// f += (par[1]-nwjets)*(par[1]-nwjets)/nwjets_err/nwjets_err; -// //Zjets constrain -// f += (par[2]-nzjets)*(par[2]-nzjets)/nzjets_err/nzjets_err; -// //QCD constrain -// f += (par[3]-nqcd)*(par[3]-nqcd)/nqcd_err/nqcd_err; - - //Ratio Constrain - //f += ( (par[1]/par[2] - nwjets/nzjets) / (0.3 *nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ); //chi4? - - - //ratio constraints - f += ( (par[2]/par[1] - nzjets/nwjets) / (0.05 *nzjets/nwjets) ) * ( (par[2]/par[1] - nzjets/nwjets) / (0.05*nzjets/nwjets) ); //swap - - - f += ((par[3]-nqcd)*(par[3]-nqcd))/nqcd_err/nqcd_err; - - -} - -/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// -TText* doPrelim(float luminosity, float x, float y) -{ - std::ostringstream stream; - stream <<"CMS Preliminary, L = " << luminosity << " pb^{-1}"; //stream <<"CMS Preliminary, L = " << lumi << " pb^{-1} at #sqrt{7} TeV"; - TLatex* text = new TLatex(x, y, stream.str().c_str()); - - text->SetNDC(true); - text->SetTextFont(62); - text->SetTextSize(0.04); - return text; -} diff --git a/scripts/forLuke/systematicFits.cc b/scripts/forLuke/systematicFits.cc deleted file mode 100644 index 3cb62831..00000000 --- a/scripts/forLuke/systematicFits.cc +++ /dev/null @@ -1,808 +0,0 @@ -/*A C++ program to use of ROOT class TMinuit for function minimization.It shows a Maximum Likelihood fit for the mean of a binned Poisson pdf in which TMinuit minimizes - - 2*log(L). fcn passes back f = -2*ln L by reference; this is the function to minimize. - - The factor of -2 allows MINUIT to get the errors using the same recipe as for least squares, i.e., go up from the minimum by 1. - - TMinuit does not allow fcn to be a member function, and the function arguments are fixed, so the one of the only ways to bring the data into fcn is to declare a poi -nter to the data (xVecPtr) as global. - - For more info on TMinuit see root.cern.ch/root/html/TMinuit.html . - -*/ - -#include -#include -#include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include "TLatex.h" -#include "TText.h" -#include "TLegend.h" -#include "TFile.h" -#include "TGraphAsymmErrors.h" - -#include "tdrstyle.C" - -using namespace std; -// Declare pointer to data as global (not elegant but TMinuit needs this). -vector data_Vec; //input data - -vector ttbar_Vec; //ttbar+single top template from mc -vector wjets_Vec; //wjest template from data driven method -vector zjets_Vec; //zjets template from data driven method -vector qcd_Vec; //qcd template from data drive method - -vector ttbar_err_Vec; -vector wjets_err_Vec; //wjest template from data driven method -vector zjets_err_Vec; //zjets template from data driven method -vector qcd_err_Vec; //qcd template from data drive method - - -int Ntotal; //define as global, got in getDataFromHis function -int nbins; //define as global, also got in getDataFromHis function, and it is been used in getTemFromHis function - -//double xbins[13] = {0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4}; - - -double xmin = 0; -double xmax; //calculate in getDataFromHis function - -void fcn(int& npar, double* deriv, double& f, double par[], int flag); -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins); -void getSignalFromHis(TFile* inputFile, TString& jet_num, TString& syst, int& nxbins, vector& vect, vector& vect_err); -void getTemFromHis(TFile* inputFile, TString& templ, TString& jet_num, int& nxbins, vector& vect, vector& vect_err); - - -TText* doPrelim(float luminosity, float x, float y); - -//double lumi = 964.6; -//double lumi = 987.2; -double lumi = 4973.4; - - double Nsignal; - double Nwjets; - double Nzjets; - double NQCD; - double NSinglT; - double Nttbar; - double NtotPass; - double NttbarUp; - double NtotPassUp; - double NttbarDown; - double NtotPassDown; - - double NttbarUpMat; - double NtotPassUpMat; - double NttbarDownMat; - double NtotPassDownMat; - - double NttbarNLO; - double NtotPassNLO; - double NttbarPOW; - double NtotPassPOW; - -//------------------------------------------------------------------------- - -int systematicFits() { -setTDRStyle(); - - - - // Choose the jet multiplicity - TString jet_num = "2b_"; - TString jet_num_temp = "ge2j"; - - TString metBin[5] = {"1","2","3","4","5"}; - -//choose what to use -TString templ = "_central"; - - - //differential histo - double xbins[6]= {1,25,45,70,100,150}; - //histograms for comaprison - //diff generators - TH1D *theor = new TH1D("theor", "", 5, xbins); - TH1D *nlo = new TH1D("nlo", "", 5, xbins); - TH1D *powheg = new TH1D("powheg", "", 5, xbins); - //syst samples - TH1D *sysup = new TH1D("sysup", "", 5, xbins); - TH1D *sysdown = new TH1D("sysdown", "", 5, xbins); - TH1D *mup = new TH1D("mup", "", 5, xbins); - TH1D *mdown = new TH1D("mdown", "", 5, xbins); - //measured - TH1D *measured = new TH1D("meas", "", 5, xbins); //muon - TH1D *ele = new TH1D("ele", "", 5, xbins); - TH1D *comb = new TH1D("comb", "", 5, xbins); - //compare histo - TH1D *nominal = new TH1D("nominal", "", 5, xbins); - - //theroy onn ttbar only due to stats (need to also change the string for w/z) - TString syst[4] = {"_qup","_qdown","_mup","_mdown"}; - - //TString syst[8] = {"_jup","_jdown","_METup","_METdown","_pup","_pdown","_bup","_bdown"}; - - -for(int sysErr = 0; sysErr < 4; sysErr++){ - -std::cout << syst[sysErr] << std::endl; - -//asymerrors - int n = 5; - double x[n]; - double y[n]; - double exl[n]; - double exh[n]; - -double theorNum = 0; -double nloNum = 0; -double powhegNum = 0; - -//syst -double upNum = 0; -double downNum = 0; -double mupNum = 0; -double mdownNum = 0; - -double theorXsect = 157.5; -double totXsect = 0; - for(int met = 0; met<5; met++){ - //for systematics - TFile* f_central = TFile::Open("PFhistosForFitting_met"+metBin[met]+templ+".root"); - TFile* f_all = TFile::Open("PFhistosForFitting_metall"+templ+".root"); - TFile* f_templates = TFile::Open("QCDetaData.root"); - - TH1D* signal = (TH1D*) f_central->Get("metEta_h_"+jet_num+"signal"); - TH1D* wjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"wjets"); - TH1D* zjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"zjets"); - TH1D* SinglT = (TH1D*) f_central->Get("metEta_h_"+jet_num+"SinglT"); - TH1D* ttbar = (TH1D*) f_central->Get("metEta_h_"+jet_num+"ttbar"); - - TH1D* QCD = (TH1D*) f_central->Get("metEta_h_"+jet_num+"QCD"); - TH1D* tt_Z = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_Z"); - TH1D* tt_W = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_W"); - TH1D* DATA = (TH1D*) f_central->Get("metEta_h_"+jet_num+"data"); - TH1D* QCData = (TH1D*) f_templates->Get("metEta_h_"+jet_num_temp); - - TH1D* ttbarAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"ttbar"); - - TH1D* tt_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt"+syst[sysErr]); - //TH1D* wjets_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"wjets"+syst[sysErr]); - //TH1D* zjets_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"zjets"+syst[sysErr]); - - //for other gens - TH1D* ttbar_nlo = (TH1D*) f_central->Get("metEta_h_"+jet_num+"nlo"); - TH1D* ttbar_powheg = (TH1D*) f_central->Get("metEta_h_"+jet_num+"powheg"); - TH1D* ttbar_nloAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"nlo"); - TH1D* ttbar_powhegAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"powheg"); - - //for sys up/down - - TH1D* ttbar_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_qup"); - TH1D* ttbar_sysdown = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_qdown"); - TH1D* ttbarUpAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_qup"); - TH1D* ttbarDownAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_qdown"); - - TH1D* ttbar_mup = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_mup"); - TH1D* ttbar_mdown = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_mdown"); - TH1D* ttbarUpAllMat = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_mup"); - TH1D* ttbarDownAllMat = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_mdown"); - - //Choose rebin factor... -int rebinF = 8; -// if(met==4){ -// rebinF=4; -// } - - - ttbar_sys->Rebin(rebinF); - - //tt_sys->Rebin(rebinF); - //wjets_sys->Rebin(rebinF); - //zjets_sys->Rebin(rebinF); - - ttbar_sysdown->Rebin(rebinF); - - ttbar_mup->Rebin(rebinF); - ttbar_mdown->Rebin(rebinF); - - ttbar_nlo->Rebin(rebinF); - ttbar_powheg->Rebin(rebinF); - - - signal->Rebin(rebinF); - wjets->Rebin(rebinF); - zjets->Rebin(rebinF); - QCD->Rebin(rebinF); - SinglT->Rebin(rebinF); - ttbar->Rebin(rebinF); - tt_Z->Rebin(rebinF); - tt_W->Rebin(rebinF); - DATA->Rebin(rebinF); - QCData->Rebin(rebinF/2); - - -// cout << "input params: " << endl; - //systematic samples - NttbarUp = ttbar_sys->Integral(); - NtotPassUp = ttbarUpAll->Integral(); - NttbarDown = ttbar_sysdown->Integral(); - NtotPassDown = ttbarDownAll->Integral(); - NttbarUpMat = ttbar_mup->Integral(); - NtotPassUpMat = ttbarUpAllMat->Integral(); - NttbarDownMat = ttbar_mdown->Integral(); - NtotPassDownMat = ttbarDownAllMat->Integral(); - - NttbarNLO = ttbar_nlo->Integral(); - NtotPassNLO = ttbar_nloAll->Integral(); - NttbarPOW = ttbar_powheg->Integral(); - NtotPassPOW = ttbar_powhegAll->Integral(); - - Nsignal = signal->Integral(); - Nwjets = wjets->Integral(); - Nzjets = zjets->Integral(); - NQCD = QCD->Integral(); - NSinglT = SinglT->Integral(); - Nttbar = ttbar->Integral(); - NtotPass = ttbarAll->Integral(); - - -double Ntt_Z =tt_Z->Integral(); -double Ntt_W =tt_W->Integral(); -double tot = Nttbar+NSinglT+NQCD+Nzjets+Nwjets+Ntt_Z+Ntt_W; -double Ndata = DATA->Integral(); -// cout << "all tt: " << NtotPass << endl; -// cout << "signal: " << Nsignal << endl; -// cout << "wjets: " << Nwjets<< endl; -// cout << "zjets: " << Nzjets << endl; -// cout << "qcd: " << NQCD << endl; - - //TString wstring = "wjets"+syst[sysErr]; - //TString zstring = "zjets"+syst[sysErr]; - TString wstring = "wjets"; - TString zstring = "zjets"; - TString qcdstring = ""; - - - // Read in the data and templates. - getDataFromHis(f_central, jet_num, nbins); // Get data histrogram form central selection - getSignalFromHis(f_central, jet_num, syst[sysErr], nbins, ttbar_Vec, ttbar_err_Vec);// Get ttbar, single-top histrograms form MC with entral selection - - getTemFromHis(f_central, wstring, jet_num, nbins, wjets_Vec, wjets_err_Vec); - getTemFromHis(f_central, zstring, jet_num, nbins, zjets_Vec, zjets_err_Vec); - getTemFromHis(f_templates, qcdstring, jet_num_temp, nbins, qcd_Vec, qcd_err_Vec); - - f_central->Close(); - f_templates->Close(); - - // Initialize minuit, set initial values etc. of parameters. - const int npar = 4; // the number of parameters - TMinuit minuit(npar); - minuit.SetFCN(fcn); - - //minuit.SetPrintLevel(1); - minuit.SetPrintLevel(-1); - minuit.SetErrorDef(1.); - - double fraction= NSinglT/Nsignal; - - int ierflg = 0; - string parName[npar] = {"ttbar+single-top", "wjets", "zjets", "qcd"}; //background parameters - double par[npar] = {Nsignal, Nwjets, Nzjets, NQCD}; //using the MC estimation as the start values 1fb - - //cout << "total data events: " << Ntotal << endl; - - for(int i=0; iGetBinWidth(met+1); - -measured->SetBinContent(met+1,xs_fit/width); -measured->SetBinError(met+1,(xs_fitup-xs_fit)/width); - -nlo->SetBinContent(met+1,nloNum/157.5/width); -powheg->SetBinContent(met+1,powhegNum/157.5/width); -theor->SetBinContent(met+1, (theorNum/157.5/width)); - -sysup->SetBinContent(met+1, (upNum/157.5/width)); -sysdown->SetBinContent(met+1, (downNum/157.5/width)); -mup->SetBinContent(met+1, (mupNum/157.5/width)); -mdown->SetBinContent(met+1, (mdownNum/157.5/width)); - - -x[met] = measured->GetBinCenter(met+1); -y[met] = xs_fit/width; -//exl[met] = measured->GetBinWidth(met+1)/2.; -//exh[met] = measured->GetBinWidth(met+1)/2.; -exl[met] = 0.; -exh[met] = 0.; -} //end of met loop - -//uncertainties***************************************************************************** -double tempStat[5] = {1.806/25./157.5, 1.888/20./157.5, 2.051/25./157.5, 1.072/30./157.5, 1.215/50./157.5}; - -double JESup[5] = {-0.000151962 , 0.000272578 , -4.23099e-05 , -3.70002e-05 , 7.25276e-06}; -double JESdown[5] = {-8.05871e-05 , -0.000135049 , -5.47969e-05 , -1.05896e-05 , 0.000126441}; - -double Qallup[5] = {0.000661542 , -0.00164854 , 0.0015185 , -0.000777495 , 4.91053e-05}; -double Qalldown[5] = {0.000976746 , -0.00126681 , 9.94392e-06 , -0.000330413 , 0.000231151}; - -double Mallup[5] = {0.00107054 , -0.00175803 , 0.000500762 , -0.000368955 , 0.000160332}; -double Malldown[5] = {0.00054994 , -0.000711093 , 0.000512741 , -0.000469302 , 4.56639e-05}; - -double singletD[5] = {3.79915e-06 , -1.64281e-05 , 1.61034e-05 , -1.38118e-05 , 4.97002e-06}; -double singletU[5] = {-3.95387e-06 , 1.7004e-05 , -1.67224e-05 , 1.4347e-05 , -5.16378e-06 }; - -double lumiD[5] = {-5.15494e-06 , -2.72603e-06 , -5.41703e-06 , 2.85952e-06 , 4.54458e-06}; -double lumiU[5] = {7.62411e-06 , -3.49747e-06 , 3.93426e-06 , -6.09136e-06 , -5.85902e-07}; - -double pdf[5] = {2.71e-05 , 3.66e-05 , 1.28e-05 , 1.33e-05 , 1.03e-05}; - -double METup[5] = {0.000177 , -0.000654 , 0.000105 , 1.24e-05 , 0.000117}; -double METdown[5] = {2.12e-05 , 0.000176 , 0.00031 , -0.000145 , -0.000149}; - -double stat[5] = {0.000370122 , 0.000482173 , 0.000393533 , 0.000199431 , 0.000133263}; - -double up[5], down[5]; - -for(int bin = 0; bin < 5; bin++ ){ -down[bin] = sqrt(pow(JESdown[bin],2)+pow(Qalldown[bin],2)+pow(Malldown[bin],2)+pow(singletD[bin],2)+pow(lumiD[bin],2)+pow(pdf[bin],2)+pow(METdown[bin],2)+pow(stat[bin],2)+pow(tempStat[bin],2)); -up[bin] = sqrt(pow(JESup[bin],2)+pow(Qallup[bin],2)+pow(Mallup[bin],2)+pow(singletD[bin],2)+pow(lumiD[bin],2)+pow(pdf[bin],2)+pow(METup[bin],2)+pow(stat[bin],2)+pow(tempStat[bin],2)); -y[bin] = y[bin]/totXsect; - -} - -//electron values for >=2btags - double eleres[5] = {0.01*0.70, 0.01*1.25, 0.01*1.08, 0.01*0.56, 0.01*0.27}; - double eleyl[5] = {sqrt(pow(0.01*0.12,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.01,2)+pow(0.01*0.06,2)),sqrt(pow(0.01*0.19,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.05,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.03,2)+pow(0.01*0.01 ,2))}; - double eleyh[5] = {sqrt(pow(0.01*0.04,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.37,2)+pow(0.01*0.06,2)),sqrt(pow(0.01*0.03,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.07,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.01,2)+pow(0.01*0.01 ,2))}; -//electron values for geq to 4jets -// double eleres[5] = {0.01*0.39, 0.01*0.99, 0.01*1.25, 0.01*0.73, 0.01*0.35}; -// double eleyl[5] = {sqrt(pow(0.01*0.51,2)+pow(0.01*0.07 ,2)),sqrt(pow(0.01*0.10,2)+pow(0.01*0.09,2)),sqrt(pow(0.01*0.40,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.02,2)+pow(0.01*0.39,2)),sqrt(pow(0.01*0.17,2)+pow(0.01*0.02 ,2))}; -// double eleyh[5] = {sqrt(pow(0.01*0.76,2)+pow(0.01*0.07 ,2)),sqrt(pow(0.01*0.63,2)+pow(0.01*0.09,2)),sqrt(pow(0.01*0.24,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.02,2)+pow(0.01*0.12,2)),sqrt(pow(0.01*0.08,2)+pow(0.01*0.02 ,2))}; - - //electron values******************************************************************** -TGraphAsymmErrors* grele = new TGraphAsymmErrors(n,x,eleres,exl,exh,eleyl,eleyh); - grele->SetMarkerStyle(20); - grele->SetMarkerColor(4); - grele->SetLineColor(4); - grele->SetMarkerStyle(26); - - for(int bin = 0; bin < 5; bin++){ - ele->SetBinContent(bin+1,eleres[bin]); - ele->SetBinError(bin+1,0.000001); - } - - ele->SetMarkerStyle(20); - ele->SetMarkerColor(4); - ele->SetLineColor(4); - - //muon values************************************************************************* - double eyl[5] = {down[0],down[1],down[2],down[3],down[4]}; - double eyh[5] = {up[0],up[1],up[2],up[3],up[4]}; - TGraphAsymmErrors* gr = new TGraphAsymmErrors(n,x,y,exl,exh,eyl,eyh); - gr->SetMarkerColor(1); - gr->SetMarkerStyle(20); - gr->SetFillStyle(3004); - - - TCanvas *c= new TCanvas("c","c",10,10,800,600); - - - -measured->SetMarkerStyle(20); -measured->Scale(1./ totXsect); -//std::cout << "total measured x sect: " << totXsect << std::endl; - -//cout.precision(3); -//std::cout << "temp stat: " << std::endl; -//for(int i = 0; i<5; i++){ -//std::cout << tempStat[i] << "(" << (tempStat[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -//} - - //central previous vals no trigs - double central[5] = {0.00609465 , 0.0145213 , 0.0116628 , 0.00549336 , 0.00213862}; - -//std::cout << (measured->GetBinError(1)/y[0])*100 << " , " << (measured->GetBinError(2)/y[1])*100 << " , " << (measured->GetBinError(3)/y[2])*100 << " , " << (measured->GetBinError(4)/y[3])*100 << " , " << (measured->GetBinError(5)/y[4])*100 << std::endl; - - //uncertaint write out for muon -// std::cout << "tot up: " << std::endl; -// for(int i = 0; i<5; i++){ -// std::cout << up[i] << "(" << (up[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -// } -// std::cout << "tot down: " << std::endl; -// for(int i = 0; i<5; i++){ -// std::cout << down[i] << "(" << (down[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -// } - - -//Combination!!!********************************************************************************* -//std::cout << " combined vals: " << std::endl; -//combination stuff -double val[5]; double combUp[5]; double combDown[5]; -for(int i = 0; i<5; i++){ -double valnum = (measured->GetBinContent(i+1)/pow(up[i],2))+(measured->GetBinContent(i+1)/pow(down[i],2))+(eleres[i]/pow(eleyh[i],2))+(eleres[i]/pow(eleyl[i],2)); -double den = (1./pow(up[i],2))+(1./pow(down[i],2))+(1./pow(eleyh[i],2))+(1./pow(eleyl[i],2)); -val[i] = valnum/den; - -combUp[i] = sqrt(1./(1./pow(up[i],2)+pow(eleyh[i],2))); -combDown[i] = sqrt(1./(1./pow(down[i],2)+pow(eleyl[i],2))); - -//std::cout << val[i] << " , " ; -comb->SetBinContent(i+1, val[i]); -comb->SetBinError(i+1, 0.00000000001); -} - -TGraphAsymmErrors* grcomb = new TGraphAsymmErrors(n,x,val,exl,exh,combDown,combUp); - grcomb->SetMarkerStyle(20); - grcomb->SetMarkerColor(7); - grcomb->SetLineColor(7); - grcomb->SetMarkerStyle(20); - - comb->SetMarkerStyle(20); - comb->SetMarkerColor(7); - comb->SetLineColor(7); - -//show nominal calculated values -for(int i =1; i < 6; i++){ -nominal->SetBinContent(i,central[i-1]); - } - - - //plot colors - theor->SetLineColor(kRed+1); - sysup->SetLineColor(kOrange+1); - sysdown->SetLineColor(kGreen+1); - mup->SetLineColor(kBlue+1); - mdown->SetLineColor(kYellow+1); - //theor->SetFillColor(kRed+1); - nominal->SetLineColor(kBlue+1); - - sysup->SetLineStyle(7); - sysdown->SetLineStyle(7); - mup->SetLineStyle(7); - mdown->SetLineStyle(7); - - nlo->SetLineStyle(7); - powheg->SetLineStyle(7); - nlo->SetLineColor(kBlue+1); - powheg->SetLineColor(kGreen+1); - -theor->SetMinimum(0); -theor->SetMaximum(0.02); - - -theor->Draw(); -//nominal->Draw("same"); -//measured->Draw("Esame"); -//ele->Draw("Esame"); -gr->Draw("P"); -//ele and combined -//grele->Draw("Esame"); -//comb->Draw("Esame"); -//grcomb->Draw("Esame"); - -nominal->Draw("same"); - -//systs -// sysup->Draw("same"); -// sysdown->Draw("same"); -// mup->Draw("same"); -// mdown->Draw("same"); - -//gens -//nlo->Draw("same"); -//powheg->Draw("same"); - -//too see effect of an uncertainty for input of uncertainty - -//cout.precision(4); -//too see effect of an uncertainty - -//std::cout << " output: " << std::endl; -for(int bin = 1; bin<=5; bin++){ - //std::cout << 100*(measured->GetBinContent(bin)-nominal->GetBinContent(bin))/measured->GetBinContent(bin) << "\\\% & " ; - //for table (later) - std::cout << (measured->GetBinContent(bin)-nominal->GetBinContent(bin)) << " , " ; - - -} - -std::cout << totXsect << std::endl; - -//legend - TLegend *tleg; - tleg = new TLegend(0.65,0.75,0.9,0.9); - tleg->SetTextSize(0.03); - tleg->SetBorderSize(0); - tleg->SetFillColor(10); - - - tleg->AddEntry(gr , "data '11'" , "lep"); -// tleg->AddEntry(ele , "e+jets (#geq 4 jets, #geq 2 btags)" , "lpe"); -// tleg->AddEntry(ele , "e+jets (#geq 4 jets)" , "lpe"); -// tleg->AddEntry(comb , "combined" , "lpe"); - - tleg->AddEntry(theor , "t#bar{t} (MADGRAPH)" , "l"); -// tleg->AddEntry(nlo , "t#bar{t} (MC@NLO)" , "l"); -// tleg->AddEntry(powheg , "t#bar{t} (POWHEG)" , "l"); - - //for sys -// tleg->AddEntry(sysup , "t#bar{t} Q^{2} up " , "l"); -// tleg->AddEntry(sysdown , "t#bar{t} Q^{2} down " , "l"); -// tleg->AddEntry(mup , "t#bar{t} matching up " , "l"); -// tleg->AddEntry(mdown , "t#bar{t} matching down " , "l"); -//tleg->AddEntry(nominal , "no trigger corrections" , "l"); - - tleg->Draw("same"); - - - -//titles -theor->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{#partial #sigma}{#partial MET} [GeV^{-1}]");theor->GetYaxis()->SetTitleSize(0.05); -theor->GetXaxis()->SetTitle("MET [GeV]"); theor->GetXaxis()->SetTitleSize(0.05); - - TText* textPrelim = doPrelim(lumi,0.16,0.96); - textPrelim->Draw(); - -//delete c; -} //end sys loop - -//c->SetLogy(1); - -//c->SaveAs("240712plots/eComb.png"); -//c->SaveAs("240712plots/eComb.pdf"); - -return 0; - -} - -//------------------------------------------------------------------------- - -// function to read in the data from a histogram -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins){ - - TH1F *h_data = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"data"); -Ntotal=0; - -// TFile* output = TFile::Open("muData.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// h_data->SetName("muData"); -// h_data->Write(); - - - - nbins = h_data->GetNbinsX(); - - xmax = xmin + nxbins*(h_data->GetBinWidth(1)); - - // cout<<"num of bins: "<GetBinContent(ibin+1); - - data_Vec.push_back(nn); - - Ntotal += nn; - - } - - // cout <<" \n Total number of events before the fit" << endl; - //cout <<" Data: \t "<& vect, vector& vect_err){ - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+templ); - - //std::cout<<"test: "<Integral()<Scale(1./his_mc_array->Integral()); - //std::cout<<"test: "<GetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - //std::cout << "{" << his_mc_array->GetBinContent(ibin+1) << "," << his_mc_array->GetBinError(ibin+1) << "}, "; - - } - //std::cout<< "}" << std::endl; - -} - - -void getSignalFromHis(TFile* inputFile, TString& jet_num, TString& syst,int& nxbins, vector& vect, vector& vect_err){ - - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"tt"+syst); - TH1F* his_mc_stop = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"SinglT"); - his_mc_array->Add(his_mc_stop); - - his_mc_array->Scale(1./his_mc_array->Integral()); - - - - -// TFile* output = TFile::Open("signal.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// his_mc_array->SetName("SignalTemplate"); -// his_mc_array->Write(); - - - for(int ibin=0; ibinGetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - } - - -} -//------------------------------------------------------------------------- - -// fcn passes back f = - 2*ln(L), the function to be minimized. not sure if N_{single top} is obtained from fitting -void fcn(int& npar, double* deriv, double& f, double par[], int flag){ - - double lnL = 0.0; - - - for (int i=0; i0){ - nqcd = NQCD; - } - else{ - nqcd = 0.00000001; - } - double nqcd_err = nqcd*1.; - - //cout << "qcd:" << NQCD << " ,par3: " << par[3] << endl; - - //double r = nwjets/nzjets; - //double r_err = r*0.01; - - //f += (par[1]/par[2]-r)*(par[1]/par[2]-r)/r_err/r_err; - //Wjets constrain -// f += (par[1]-nwjets)*(par[1]-nwjets)/nwjets_err/nwjets_err; -// //Zjets constrain -// f += (par[2]-nzjets)*(par[2]-nzjets)/nzjets_err/nzjets_err; -// //QCD constrain -// f += (par[3]-nqcd)*(par[3]-nqcd)/nqcd_err/nqcd_err; - - //Ratio Constrain - //f += ( (par[1]/par[2] - nwjets/nzjets) / (0.3 *nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ); //chi4? - - - //ratio constraints - f += ( (par[2]/par[1] - nzjets/nwjets) / (0.05 *nzjets/nwjets) ) * ( (par[2]/par[1] - nzjets/nwjets) / (0.05*nzjets/nwjets) ); //swap - - - f += ((par[3]-nqcd)*(par[3]-nqcd))/nqcd_err/nqcd_err; - - -} - -/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// -TText* doPrelim(float luminosity, float x, float y) -{ - std::ostringstream stream; - stream <<"#mu, #geq 4 jets, #geq 2 b-tags CMS Preliminary, L = 5.0 fb^{-1} @ #sqrt{s} = 7 TeV"; - - TLatex* text = new TLatex(x, y, stream.str().c_str()); - //text->SetTextAlign(33); //left - //text->SetTextAlign(22); //center - //text->SetTextAlign(11); //right -text->SetNDC(true); -text->SetTextFont(42); -text->SetTextSize(0.035); // for thesis - - return text; -} diff --git a/scripts/forLuke/systematicFits.py b/scripts/forLuke/systematicFits.py deleted file mode 100644 index 3beb5cec..00000000 --- a/scripts/forLuke/systematicFits.py +++ /dev/null @@ -1,722 +0,0 @@ -from tdrStyle import setTDRStyle -from ROOT import * -# Declare pointer to data as global (not elegant but TMinuit needs this). -data_Vec = []; #input data - -ttbar_Vec = []; #ttbar+single top template from mc -wjets_Vec = []; #wjest template from data driven method -zjets_Vec = []; #zjets template from data driven method -qcd_Vec = []; #qcd template from data drive method - -ttbar_err_Vec = []; -wjets_err_Vec = []; #wjest template from data driven method -zjets_err_Vec = []; #zjets template from data driven method -qcd_err_Vec = []; #qcd template from data drive method - - -Ntotal = 0 #define as global, got in getDataFromHis function -nbins=0 #define as global, also got in getDataFromHis function, and it is been used in getTemFromHis function - -#double xbins[13] = {0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4}; - - -xmin = 0; -xmax = 0; #calculate in getDataFromHis function - - -lumi = 4973.4; - -Nsignal = 0; -Nwjets = 0 -Nzjets = 0 -NQCD = 0 -NSinglT = 0 -Nttbar = 0 -NtotPass = 0 -NttbarUp = 0 -NtotPassUp = 0 -NttbarDown = 0 -NtotPassDown = 0 - -NttbarUpMat = 0 -NtotPassUpMat = 0 -NttbarDownMat = 0 -NtotPassDownMat = 0 - -NttbarNLO = 0 -NtotPassNLO = 0 -NttbarPOW = 0 -NtotPassPOW = 0 - -#------------------------------------------------------------------------- - -def systematicFits(): - setTDRStyle(); - - - - # Choose the jet multiplicity - jet_num = "2b_"; - jet_num_temp = "ge2j"; - - metBin = ["1","2","3","4","5"] - - templ = "_central"; - - - #differential histo - xbins = [1,25,45,70,100,150] - #histograms for comaprison - #diff generators - theor = TH1D("theor", "", 5, xbins); - nlo = TH1D("nlo", "", 5, xbins); - powheg = TH1D("powheg", "", 5, xbins); - #syst samples - sysup = TH1D("sysup", "", 5, xbins); - sysdown = TH1D("sysdown", "", 5, xbins); - mup = TH1D("mup", "", 5, xbins); - mdown = TH1D("mdown", "", 5, xbins); - #measured - measured = TH1D("meas", "", 5, xbins); #muon - ele = TH1D("ele", "", 5, xbins); - comb = TH1D("comb", "", 5, xbins); - #compare histo - nominal = TH1D("nominal", "", 5, xbins); - - #theroy onn ttbar only due to stats (need to also change the string for w/z) - syst = ["_qup","_qdown","_mup","_mdown"] - - #syst[8] = {"_jup","_jdown","_METup","_METdown","_pup","_pdown","_bup","_bdown"}; - - - for sysErr in range(0,4): - print syst[sysErr] - - #asymerrors - n = 5; - x = [0]*n; - y = [0]*n; - exl = [0]*n; - exh = [0]*n; - - theorNum = 0; - nloNum = 0; - powhegNum = 0; - - #syst - upNum = 0; - downNum = 0; - mupNum = 0; - mdownNum = 0; - - theorXsect = 157.5; - totXsect = 0; - for met in range(0,5): - #for systematics - f_central = TFile.Open("PFhistosForFitting_met"+metBin[met]+templ+".root"); - f_all = TFile.Open("PFhistosForFitting_metall"+templ+".root"); - f_templates = TFile.Open("QCDetaData.root"); - - signal = f_central.Get("metEta_h_"+jet_num+"signal"); - wjets = f_central.Get("metEta_h_"+jet_num+"wjets"); - zjets = f_central.Get("metEta_h_"+jet_num+"zjets"); - SinglT = f_central.Get("metEta_h_"+jet_num+"SinglT"); - ttbar = f_central.Get("metEta_h_"+jet_num+"ttbar"); - - QCD = f_central.Get("metEta_h_"+jet_num+"QCD"); - tt_Z = f_central.Get("metEta_h_"+jet_num+"tt_Z"); - tt_W = f_central.Get("metEta_h_"+jet_num+"tt_W"); - DATA = f_central.Get("metEta_h_"+jet_num+"data"); - QCData = f_templates.Get("metEta_h_"+jet_num_temp); - - ttbarAll = f_all.Get("metEta_h_"+jet_num+"ttbar"); - - tt_sys = f_central.Get("metEta_h_"+jet_num+"tt"+syst[sysErr]); - #wjets_sys = f_central.Get("metEta_h_"+jet_num+"wjets"+syst[sysErr]); - #zjets_sys = f_central.Get("metEta_h_"+jet_num+"zjets"+syst[sysErr]); - - #for other gens - ttbar_nlo = f_central.Get("metEta_h_"+jet_num+"nlo"); - ttbar_powheg = f_central.Get("metEta_h_"+jet_num+"powheg"); - ttbar_nloAll = f_all.Get("metEta_h_"+jet_num+"nlo"); - ttbar_powhegAll = f_all.Get("metEta_h_"+jet_num+"powheg"); - - #for sys up/down - - ttbar_sys = f_central.Get("metEta_h_"+jet_num+"tt_qup"); - ttbar_sysdown = f_central.Get("metEta_h_"+jet_num+"tt_qdown"); - ttbarUpAll = f_all.Get("metEta_h_"+jet_num+"tt_qup"); - ttbarDownAll = f_all.Get("metEta_h_"+jet_num+"tt_qdown"); - - ttbar_mup = f_central.Get("metEta_h_"+jet_num+"tt_mup"); - ttbar_mdown = f_central.Get("metEta_h_"+jet_num+"tt_mdown"); - ttbarUpAllMat = f_all.Get("metEta_h_"+jet_num+"tt_mup"); - ttbarDownAllMat = f_all.Get("metEta_h_"+jet_num+"tt_mdown"); - - #Choose rebin factor... - rebinF = 8; - - ttbar_sys.Rebin(rebinF); - - #tt_sys.Rebin(rebinF); - #wjets_sys.Rebin(rebinF); - #zjets_sys.Rebin(rebinF); - - ttbar_sysdown.Rebin(rebinF); - ttbar_mup.Rebin(rebinF); - ttbar_mdown.Rebin(rebinF); - - ttbar_nlo.Rebin(rebinF); - ttbar_powheg.Rebin(rebinF); - - - signal.Rebin(rebinF); - wjets.Rebin(rebinF); - zjets.Rebin(rebinF); - QCD.Rebin(rebinF); - SinglT.Rebin(rebinF); - ttbar.Rebin(rebinF); - tt_Z.Rebin(rebinF); - tt_W.Rebin(rebinF); - DATA.Rebin(rebinF); - QCData.Rebin(rebinF/2); - - - NttbarUp = ttbar_sys.Integral(); - NtotPassUp = ttbarUpAll.Integral(); - NttbarDown = ttbar_sysdown.Integral(); - NtotPassDown = ttbarDownAll.Integral(); - NttbarUpMat = ttbar_mup.Integral(); - NtotPassUpMat = ttbarUpAllMat.Integral(); - NttbarDownMat = ttbar_mdown.Integral(); - NtotPassDownMat = ttbarDownAllMat.Integral(); - - NttbarNLO = ttbar_nlo.Integral(); - NtotPassNLO = ttbar_nloAll.Integral(); - NttbarPOW = ttbar_powheg.Integral(); - NtotPassPOW = ttbar_powhegAll.Integral(); - - Nsignal = signal.Integral(); - Nwjets = wjets.Integral(); - Nzjets = zjets.Integral(); - NQCD = QCD.Integral(); - NSinglT = SinglT.Integral(); - Nttbar = ttbar.Integral(); - NtotPass = ttbarAll.Integral(); - - - Ntt_Z =tt_Z.Integral(); - Ntt_W =tt_W.Integral(); - tot = Nttbar+NSinglT+NQCD+Nzjets+Nwjets+Ntt_Z+Ntt_W; - Ndata = DATA.Integral(); - wstring = "wjets"; - zstring = "zjets"; - qcdstring = ""; - - - # Read in the data and templates. - getDataFromHis(f_central, jet_num, nbins); # Get data histrogram form central selection - getSignalFromHis(f_central, jet_num, syst[sysErr], nbins, ttbar_Vec, ttbar_err_Vec);# Get ttbar, single-top histrograms form MC with entral selection - - getTemFromHis(f_central, wstring, jet_num, nbins, wjets_Vec, wjets_err_Vec); - getTemFromHis(f_central, zstring, jet_num, nbins, zjets_Vec, zjets_err_Vec); - getTemFromHis(f_templates, qcdstring, jet_num_temp, nbins, qcd_Vec, qcd_err_Vec); - - f_central.Close(); - f_templates.Close(); - - # Initialize minuit, set initial values etc. of parameters. - npar = 4; # the number of parameters - minuit = TMinuit(npar); - minuit.SetFCN(fcn); - - #minuit.SetPrintLevel(1); - minuit.SetPrintLevel(-1); - minuit.SetErrorDef(1.); - - fraction= NSinglT/Nsignal; - - ierflg = 0; - parName = ["ttbar+single-top", "wjets", "zjets", "qcd"] #background parameters - par = [Nsignal, Nwjets, Nzjets, NQCD] #using the MC estimation as the start values 1fb - - for i=0 in range(0,npar): - minuit.mnparm(i, parName[i], par[i], 10., 0, Ntotal, ierflg); - - #the following is copied from Fabian's fitting code to improve minimum, but you can comment it, it won't affect the fitting results. - # 1 standard - # 2 try to improve minimum (slower) - arglist = [0]*10; - arglist[0]=1; - minuit.mnexcm("SET STR",arglist,1,ierflg); - minuit.Migrad(); - - outpar = [0]*npar - err = [0]*npar; - - for i=0 in range(0,npar): - minuit.GetParameter(i,outpar[i],err[i]); - - xs_fit = (outpar[0]-NSinglT)/(NtotPass/theorXsect); #=out-Nsing/lumi*Accept Nsing should probs be xsect*Accept... 1fb - xs_fitup = (outpar[0]+err[0]-NSinglT)/(NtotPass/theorXsect); #=out-Nsing/lumi*Accept Nsing should probs be xsect*Accept... 1fb - xs_fitdown = (outpar[0]-err[0]-NSinglT)/(NtotPass/theorXsect); #=out-Nsing/lumi*Accept Nsing should probs be xsect*Accept... 1fb - - #madgraph - theorNum = (Nttbar)/(NtotPass/theorXsect); - nloNum = (NttbarNLO)/(NtotPassNLO/theorXsect); - powhegNum = (NttbarPOW)/(NtotPassPOW/theorXsect); - - #systematics - upNum = (NttbarUp)/(NtotPassUp/theorXsect); - downNum = (NttbarDown)/(NtotPassDown/theorXsect); - - mupNum = (NttbarUpMat)/(NtotPassUpMat/theorXsect); - mdownNum = (NttbarDownMat)/(NtotPassDownMat/theorXsect); - - - - totXsect += xs_fit; - - data_Vec = [] - ttbar_Vec = [] - wjets_Vec = [] - zjets_Vec = [] - qcd_Vec = [] - - ttbar_err_Vec = [] - wjets_err_Vec = [] - zjets_err_Vec = [] - qcd_err_Vec = [] - - - width = measured.GetBinWidth(met+1); - - measured.SetBinContent(met+1,xs_fit/width); - measured.SetBinError(met+1,(xs_fitup-xs_fit)/width); - - nlo.SetBinContent(met+1,nloNum/157.5/width); - powheg.SetBinContent(met+1,powhegNum/157.5/width); - theor.SetBinContent(met+1, (theorNum/157.5/width)); - - sysup.SetBinContent(met+1, (upNum/157.5/width)); - sysdown.SetBinContent(met+1, (downNum/157.5/width)); - mup.SetBinContent(met+1, (mupNum/157.5/width)); - mdown.SetBinContent(met+1, (mdownNum/157.5/width)); - - - x[met] = measured.GetBinCenter(met+1); - y[met] = xs_fit/width; - #exl[met] = measured.GetBinWidth(met+1)/2.; - #exh[met] = measured.GetBinWidth(met+1)/2.; - exl[met] = 0.; - exh[met] = 0.; - - #uncertainties***************************************************************************** - tempStat = [1.806/25./157.5, 1.888/20./157.5, 2.051/25./157.5, 1.072/30./157.5, 1.215/50./157.5]; - - JESup = [-0.000151962 , 0.000272578 , -4.23099e-05 , -3.70002e-05 , 7.25276e-06]; - JESdown = [-8.05871e-05 , -0.000135049 , -5.47969e-05 , -1.05896e-05 , 0.000126441]; - - Qallup = [0.000661542 , -0.00164854 , 0.0015185 , -0.000777495 , 4.91053e-05]; - Qalldown = [0.000976746 , -0.00126681 , 9.94392e-06 , -0.000330413 , 0.000231151]; - - Mallup = [0.00107054 , -0.00175803 , 0.000500762 , -0.000368955 , 0.000160332]; - Malldown = [0.00054994 , -0.000711093 , 0.000512741 , -0.000469302 , 4.56639e-05]; - - singletD = [3.79915e-06 , -1.64281e-05 , 1.61034e-05 , -1.38118e-05 , 4.97002e-06]; - singletU = [-3.95387e-06 , 1.7004e-05 , -1.67224e-05 , 1.4347e-05 , -5.16378e-06 ]; - - lumiD = [-5.15494e-06 , -2.72603e-06 , -5.41703e-06 , 2.85952e-06 , 4.54458e-06]; - lumiU = [7.62411e-06 , -3.49747e-06 , 3.93426e-06 , -6.09136e-06 , -5.85902e-07]; - - pdf = [2.71e-05 , 3.66e-05 , 1.28e-05 , 1.33e-05 , 1.03e-05]; - - METup = [0.000177 , -0.000654 , 0.000105 , 1.24e-05 , 0.000117]; - METdown = [2.12e-05 , 0.000176 , 0.00031 , -0.000145 , -0.000149]; - - stat = [0.000370122 , 0.000482173 , 0.000393533 , 0.000199431 , 0.000133263]; - - up = [0]*5 - down = [0]*5 - - for bin in range(0,5): - down[bin] = sqrt(pow(JESdown[bin],2)+pow(Qalldown[bin],2)+pow(Malldown[bin],2)+pow(singletD[bin],2)+pow(lumiD[bin],2)+pow(pdf[bin],2)+pow(METdown[bin],2)+pow(stat[bin],2)+pow(tempStat[bin],2)); - up[bin] = sqrt(pow(JESup[bin],2)+pow(Qallup[bin],2)+pow(Mallup[bin],2)+pow(singletD[bin],2)+pow(lumiD[bin],2)+pow(pdf[bin],2)+pow(METup[bin],2)+pow(stat[bin],2)+pow(tempStat[bin],2)); - y[bin] = y[bin]/totXsect; - - #electron values for >=2btags - eleres = [0.01*0.70, 0.01*1.25, 0.01*1.08, 0.01*0.56, 0.01*0.27]; - eleyl = [sqrt(pow(0.01*0.12,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.01,2)+pow(0.01*0.06,2)),sqrt(pow(0.01*0.19,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.05,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.03,2)+pow(0.01*0.01 ,2))]; - eleyh = [sqrt(pow(0.01*0.04,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.37,2)+pow(0.01*0.06,2)),sqrt(pow(0.01*0.03,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.07,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.01,2)+pow(0.01*0.01 ,2))]; - #electron values for geq to 4jets - # double eleres[5] = {0.01*0.39, 0.01*0.99, 0.01*1.25, 0.01*0.73, 0.01*0.35}; - # double eleyl[5] = {sqrt(pow(0.01*0.51,2)+pow(0.01*0.07 ,2)),sqrt(pow(0.01*0.10,2)+pow(0.01*0.09,2)),sqrt(pow(0.01*0.40,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.02,2)+pow(0.01*0.39,2)),sqrt(pow(0.01*0.17,2)+pow(0.01*0.02 ,2))}; - # double eleyh[5] = {sqrt(pow(0.01*0.76,2)+pow(0.01*0.07 ,2)),sqrt(pow(0.01*0.63,2)+pow(0.01*0.09,2)),sqrt(pow(0.01*0.24,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.02,2)+pow(0.01*0.12,2)),sqrt(pow(0.01*0.08,2)+pow(0.01*0.02 ,2))}; - - #electron values******************************************************************** - grele = TGraphAsymmErrors(n,x,eleres,exl,exh,eleyl,eleyh); - grele.SetMarkerStyle(20); - grele.SetMarkerColor(4); - grele.SetLineColor(4); - grele.SetMarkerStyle(26); - - for bin in range(0,5): - ele.SetBinContent(bin+1,eleres[bin]); - ele.SetBinError(bin+1,0.000001); - - ele.SetMarkerStyle(20); - ele.SetMarkerColor(4); - ele.SetLineColor(4); - - #muon values************************************************************************* - eyl = [down[0],down[1],down[2],down[3],down[4]]; - eyh = [up[0],up[1],up[2],up[3],up[4]]; - gr = TGraphAsymmErrors(n,x,y,exl,exh,eyl,eyh); - gr.SetMarkerColor(1); - gr.SetMarkerStyle(20); - gr.SetFillStyle(3004); - - - c= TCanvas("c","c",10,10,800,600); - - - -measured.SetMarkerStyle(20); -measured.Scale(1./ totXsect); -#std::cout << "total measured x sect: " << totXsect << std::endl; - -#cout.precision(3); -#std::cout << "temp stat: " << std::endl; -#for(int i = 0; i<5; i++){ -#std::cout << tempStat[i] << "(" << (tempStat[i]/measured.GetBinContent(i+1))*100 << "\\%)" << " & " ; -#} - - #central previous vals no trigs - double central[5] = {0.00609465 , 0.0145213 , 0.0116628 , 0.00549336 , 0.00213862}; - -#std::cout << (measured.GetBinError(1)/y[0])*100 << " , " << (measured.GetBinError(2)/y[1])*100 << " , " << (measured.GetBinError(3)/y[2])*100 << " , " << (measured.GetBinError(4)/y[3])*100 << " , " << (measured.GetBinError(5)/y[4])*100 << std::endl; - - #uncertaint write out for muon -# std::cout << "tot up: " << std::endl; -# for(int i = 0; i<5; i++){ -# std::cout << up[i] << "(" << (up[i]/measured.GetBinContent(i+1))*100 << "\\%)" << " & " ; -# } -# std::cout << "tot down: " << std::endl; -# for(int i = 0; i<5; i++){ -# std::cout << down[i] << "(" << (down[i]/measured.GetBinContent(i+1))*100 << "\\%)" << " & " ; -# } - - -#Combination!!!********************************************************************************* -#std::cout << " combined vals: " << std::endl; -#combination stuff -double val[5]; double combUp[5]; double combDown[5]; -for(int i = 0; i<5; i++){ -double valnum = (measured.GetBinContent(i+1)/pow(up[i],2))+(measured.GetBinContent(i+1)/pow(down[i],2))+(eleres[i]/pow(eleyh[i],2))+(eleres[i]/pow(eleyl[i],2)); -double den = (1./pow(up[i],2))+(1./pow(down[i],2))+(1./pow(eleyh[i],2))+(1./pow(eleyl[i],2)); -val[i] = valnum/den; - -combUp[i] = sqrt(1./(1./pow(up[i],2)+pow(eleyh[i],2))); -combDown[i] = sqrt(1./(1./pow(down[i],2)+pow(eleyl[i],2))); - -#std::cout << val[i] << " , " ; -comb.SetBinContent(i+1, val[i]); -comb.SetBinError(i+1, 0.00000000001); -} - -TGraphAsymmErrors* grcomb = TGraphAsymmErrors(n,x,val,exl,exh,combDown,combUp); - grcomb.SetMarkerStyle(20); - grcomb.SetMarkerColor(7); - grcomb.SetLineColor(7); - grcomb.SetMarkerStyle(20); - - comb.SetMarkerStyle(20); - comb.SetMarkerColor(7); - comb.SetLineColor(7); - -#show nominal calculated values -for(int i =1; i < 6; i++){ -nominal.SetBinContent(i,central[i-1]); - } - - - #plot colors - theor.SetLineColor(kRed+1); - sysup.SetLineColor(kOrange+1); - sysdown.SetLineColor(kGreen+1); - mup.SetLineColor(kBlue+1); - mdown.SetLineColor(kYellow+1); - #theor.SetFillColor(kRed+1); - nominal.SetLineColor(kBlue+1); - - sysup.SetLineStyle(7); - sysdown.SetLineStyle(7); - mup.SetLineStyle(7); - mdown.SetLineStyle(7); - - nlo.SetLineStyle(7); - powheg.SetLineStyle(7); - nlo.SetLineColor(kBlue+1); - powheg.SetLineColor(kGreen+1); - -theor.SetMinimum(0); -theor.SetMaximum(0.02); - - -theor.Draw(); -#nominal.Draw("same"); -#measured.Draw("Esame"); -#ele.Draw("Esame"); -gr.Draw("P"); -#ele and combined -#grele.Draw("Esame"); -#comb.Draw("Esame"); -#grcomb.Draw("Esame"); - -nominal.Draw("same"); - -#systs -# sysup.Draw("same"); -# sysdown.Draw("same"); -# mup.Draw("same"); -# mdown.Draw("same"); - -#gens -#nlo.Draw("same"); -#powheg.Draw("same"); - -#too see effect of an uncertainty for input of uncertainty - -#cout.precision(4); -#too see effect of an uncertainty - -#std::cout << " output: " << std::endl; -for(int bin = 1; bin<=5; bin++){ - #std::cout << 100*(measured.GetBinContent(bin)-nominal.GetBinContent(bin))/measured.GetBinContent(bin) << "\\\% & " ; - #for table (later) - std::cout << (measured.GetBinContent(bin)-nominal.GetBinContent(bin)) << " , " ; - - -} - -std::cout << totXsect << std::endl; - -#legend - TLegend *tleg; - tleg = TLegend(0.65,0.75,0.9,0.9); - tleg.SetTextSize(0.03); - tleg.SetBorderSize(0); - tleg.SetFillColor(10); - - - tleg.AddEntry(gr , "data '11'" , "lep"); -# tleg.AddEntry(ele , "e+jets (#geq 4 jets, #geq 2 btags)" , "lpe"); -# tleg.AddEntry(ele , "e+jets (#geq 4 jets)" , "lpe"); -# tleg.AddEntry(comb , "combined" , "lpe"); - - tleg.AddEntry(theor , "t#bar{t} (MADGRAPH)" , "l"); -# tleg.AddEntry(nlo , "t#bar{t} (MC@NLO)" , "l"); -# tleg.AddEntry(powheg , "t#bar{t} (POWHEG)" , "l"); - - #for sys -# tleg.AddEntry(sysup , "t#bar{t} Q^{2} up " , "l"); -# tleg.AddEntry(sysdown , "t#bar{t} Q^{2} down " , "l"); -# tleg.AddEntry(mup , "t#bar{t} matching up " , "l"); -# tleg.AddEntry(mdown , "t#bar{t} matching down " , "l"); -#tleg.AddEntry(nominal , "no trigger corrections" , "l"); - - tleg.Draw("same"); - - - -#titles -theor.GetYaxis().SetTitle("#frac{1}{#sigma} #frac{#partial #sigma}{#partial MET} [GeV^{-1}]");theor.GetYaxis().SetTitleSize(0.05); -theor.GetXaxis().SetTitle("MET [GeV]"); theor.GetXaxis().SetTitleSize(0.05); - - TText* textPrelim = doPrelim(lumi,0.16,0.96); - textPrelim.Draw(); - -#delete c; -} #end sys loop - -#c.SetLogy(1); - -#c.SaveAs("240712plots/eComb.png"); -#c.SaveAs("240712plots/eComb.pdf"); - -return 0; - -} - -#------------------------------------------------------------------------- - -# function to read in the data from a histogram -void getDataFromHis(inputFile, TString& jet_num, int& nxbins){ - - TH1F *h_data = (TH1F*) inputFile.Get("metEta_h_"+jet_num+"data"); -Ntotal=0; - -# output = TFile.Open("muData.root","UPDATE"); -# # his_mc_array.Scale(10909.); -# h_data.SetName("muData"); -# h_data.Write(); - - - - nbins = h_data.GetNbinsX(); - - xmax = xmin + nxbins*(h_data.GetBinWidth(1)); - - # cout<<"num of bins: "<& vect, vector& vect_err){ - - TH1F* his_mc_array = (TH1F*) inputFile.Get("metEta_h_"+jet_num+templ); - - #std::cout<<"test: "<& vect, vector& vect_err){ - - - TH1F* his_mc_array = (TH1F*) inputFile.Get("metEta_h_"+jet_num+"tt"+syst); - TH1F* his_mc_stop = (TH1F*) inputFile.Get("metEta_h_"+jet_num+"SinglT"); - his_mc_array.Add(his_mc_stop); - - his_mc_array.Scale(1./his_mc_array.Integral()); - - - - -# output = TFile.Open("signal.root","UPDATE"); -# # his_mc_array.Scale(10909.); -# his_mc_array.SetName("SignalTemplate"); -# his_mc_array.Write(); - - - for(int ibin=0; ibin0){ - nqcd = NQCD; - } - else{ - nqcd = 0.00000001; - } - double nqcd_err = nqcd*1.; - - #cout << "qcd:" << NQCD << " ,par3: " << par[3] << endl; - - #double r = nwjets/nzjets; - #double r_err = r*0.01; - - #f += (par[1]/par[2]-r)*(par[1]/par[2]-r)/r_err/r_err; - #Wjets constrain -# f += (par[1]-nwjets)*(par[1]-nwjets)/nwjets_err/nwjets_err; -# #Zjets constrain -# f += (par[2]-nzjets)*(par[2]-nzjets)/nzjets_err/nzjets_err; -# #QCD constrain -# f += (par[3]-nqcd)*(par[3]-nqcd)/nqcd_err/nqcd_err; - - #Ratio Constrain - #f += ( (par[1]/par[2] - nwjets/nzjets) / (0.3 *nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ); #chi4? - - - #ratio constraints - f += ( (par[2]/par[1] - nzjets/nwjets) / (0.05 *nzjets/nwjets) ) * ( (par[2]/par[1] - nzjets/nwjets) / (0.05*nzjets/nwjets) ); #swap - - - f += ((par[3]-nqcd)*(par[3]-nqcd))/nqcd_err/nqcd_err; - - -} - -#########################################################################/ -def doPrelim(luminosity, x, y): - stream = "#mu, #geq 4 jets, #geq 2 b-tags CMS Preliminary, L = 5.0 fb^{-1} @ #sqrt{s} = 7 TeV"; - - text = TLatex(x, y, stream); - #text.SetTextAlign(33); #left - #text.SetTextAlign(22); #center - #text.SetTextAlign(11); #right - text.SetNDC(true); - text.SetTextFont(42); - text.SetTextSize(0.035); # for thesis - - return text; -} diff --git a/scripts/forLuke/systematicFitsExp.cc b/scripts/forLuke/systematicFitsExp.cc deleted file mode 100644 index 29e5e836..00000000 --- a/scripts/forLuke/systematicFitsExp.cc +++ /dev/null @@ -1,806 +0,0 @@ -/*A C++ program to use of ROOT class TMinuit for function minimization.It shows a Maximum Likelihood fit for the mean of a binned Poisson pdf in which TMinuit minimizes - - 2*log(L). fcn passes back f = -2*ln L by reference; this is the function to minimize. - - The factor of -2 allows MINUIT to get the errors using the same recipe as for least squares, i.e., go up from the minimum by 1. - - TMinuit does not allow fcn to be a member function, and the function arguments are fixed, so the one of the only ways to bring the data into fcn is to declare a poi -nter to the data (xVecPtr) as global. - - For more info on TMinuit see root.cern.ch/root/html/TMinuit.html . - -*/ - -#include -#include -#include -#include -#include - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include "TLatex.h" -#include "TText.h" -#include "TLegend.h" -#include "TFile.h" -#include "TGraphAsymmErrors.h" - -#include "tdrstyle.C" - -using namespace std; -// Declare pointer to data as global (not elegant but TMinuit needs this). -vector data_Vec; //input data - -vector ttbar_Vec; //ttbar+single top template from mc -vector wjets_Vec; //wjest template from data driven method -vector zjets_Vec; //zjets template from data driven method -vector qcd_Vec; //qcd template from data drive method - -vector ttbar_err_Vec; -vector wjets_err_Vec; //wjest template from data driven method -vector zjets_err_Vec; //zjets template from data driven method -vector qcd_err_Vec; //qcd template from data drive method - - -int Ntotal; //define as global, got in getDataFromHis function -int nbins; //define as global, also got in getDataFromHis function, and it is been used in getTemFromHis function - -//double xbins[13] = {0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4}; - - -double xmin = 0; -double xmax; //calculate in getDataFromHis function - -void fcn(int& npar, double* deriv, double& f, double par[], int flag); -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins); -void getSignalFromHis(TFile* inputFile, TString& jet_num, TString& syst, int& nxbins, vector& vect, vector& vect_err); -void getTemFromHis(TFile* inputFile, TString& templ, TString& jet_num, int& nxbins, vector& vect, vector& vect_err); - - -TText* doPrelim(float luminosity, float x, float y); - -//double lumi = 964.6; -//double lumi = 987.2; -double lumi = 4973.4; - - double Nsignal; - double Nwjets; - double Nzjets; - double NQCD; - double NSinglT; - double Nttbar; - double NtotPass; - double NttbarUp; - double NtotPassUp; - double NttbarDown; - double NtotPassDown; - - double NttbarUpMat; - double NtotPassUpMat; - double NttbarDownMat; - double NtotPassDownMat; - - double NttbarNLO; - double NtotPassNLO; - double NttbarPOW; - double NtotPassPOW; - -//------------------------------------------------------------------------- - -int systematicFitsExp() { -setTDRStyle(); - - - - // Choose the jet multiplicity - TString jet_num = "2b_"; - TString jet_num_temp = "ge2j"; - - TString metBin[5] = {"1","2","3","4","5"}; - -//choose what to use -TString templ = "_central"; - - - //differential histo - double xbins[6]= {1,25,45,70,100,150}; - //histograms for comaprison - //diff generators - TH1D *theor = new TH1D("theor", "", 5, xbins); - TH1D *nlo = new TH1D("nlo", "", 5, xbins); - TH1D *powheg = new TH1D("powheg", "", 5, xbins); - //syst samples - TH1D *sysup = new TH1D("sysup", "", 5, xbins); - TH1D *sysdown = new TH1D("sysdown", "", 5, xbins); - TH1D *mup = new TH1D("mup", "", 5, xbins); - TH1D *mdown = new TH1D("mdown", "", 5, xbins); - //measured - TH1D *measured = new TH1D("meas", "", 5, xbins); //muon - TH1D *ele = new TH1D("ele", "", 5, xbins); - TH1D *comb = new TH1D("comb", "", 5, xbins); - //compare histo - TH1D *nominal = new TH1D("nominal", "", 5, xbins); - - //theroy onn ttbar only due to stats (need to also change the string for w/z) - //TString syst[4] = {"_qup","_qdown","_mup","_mdown"}; - - TString syst[8] = {"_jup","_jdown","_METup","_METdown","_pup","_pdown","_bup","_bdown"}; - - -for(int sysErr = 0; sysErr < 8; sysErr++){ - -std::cout << syst[sysErr] << std::endl; - -//asymerrors - int n = 5; - double x[n]; - double y[n]; - double exl[n]; - double exh[n]; - -double theorNum = 0; -double nloNum = 0; -double powhegNum = 0; - -//syst -double upNum = 0; -double downNum = 0; -double mupNum = 0; -double mdownNum = 0; - -double theorXsect = 157.5; -double totXsect = 0; - for(int met = 0; met<5; met++){ - //for systematics - TFile* f_central = TFile::Open("PFhistosForFitting_met"+metBin[met]+templ+".root"); - TFile* f_all = TFile::Open("PFhistosForFitting_metall"+templ+".root"); - TFile* f_templates = TFile::Open("QCDetaData.root"); - - TH1D* signal = (TH1D*) f_central->Get("metEta_h_"+jet_num+"signal"); - TH1D* wjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"wjets"); - TH1D* zjets = (TH1D*) f_central->Get("metEta_h_"+jet_num+"zjets"); - TH1D* SinglT = (TH1D*) f_central->Get("metEta_h_"+jet_num+"SinglT"); - TH1D* ttbar = (TH1D*) f_central->Get("metEta_h_"+jet_num+"ttbar"); - - TH1D* QCD = (TH1D*) f_central->Get("metEta_h_"+jet_num+"QCD"); - TH1D* tt_Z = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_Z"); - TH1D* tt_W = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_W"); - TH1D* DATA = (TH1D*) f_central->Get("metEta_h_"+jet_num+"data"); - TH1D* QCData = (TH1D*) f_templates->Get("metEta_h_"+jet_num_temp); - - TH1D* ttbarAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"ttbar"); - - TH1D* tt_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt"+syst[sysErr]); - TH1D* wjets_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"wjets"+syst[sysErr]); - TH1D* zjets_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"zjets"+syst[sysErr]); - - //for other gens - TH1D* ttbar_nlo = (TH1D*) f_central->Get("metEta_h_"+jet_num+"nlo"); - TH1D* ttbar_powheg = (TH1D*) f_central->Get("metEta_h_"+jet_num+"powheg"); - TH1D* ttbar_nloAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"nlo"); - TH1D* ttbar_powhegAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"powheg"); - - //for sys up/down - - TH1D* ttbar_sys = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_qup"); - TH1D* ttbar_sysdown = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_qdown"); - TH1D* ttbarUpAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_qup"); - TH1D* ttbarDownAll = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_qdown"); - - TH1D* ttbar_mup = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_mup"); - TH1D* ttbar_mdown = (TH1D*) f_central->Get("metEta_h_"+jet_num+"tt_mdown"); - TH1D* ttbarUpAllMat = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_mup"); - TH1D* ttbarDownAllMat = (TH1D*) f_all->Get("metEta_h_"+jet_num+"tt_mdown"); - - //Choose rebin factor... -int rebinF = 8; -// if(met==4){ -// rebinF=4; -// } - - - ttbar_sys->Rebin(rebinF); - - tt_sys->Rebin(rebinF); - wjets_sys->Rebin(rebinF); - zjets_sys->Rebin(rebinF); - - ttbar_sysdown->Rebin(rebinF); - - ttbar_mup->Rebin(rebinF); - ttbar_mdown->Rebin(rebinF); - - ttbar_nlo->Rebin(rebinF); - ttbar_powheg->Rebin(rebinF); - - - signal->Rebin(rebinF); - wjets->Rebin(rebinF); - zjets->Rebin(rebinF); - QCD->Rebin(rebinF); - SinglT->Rebin(rebinF); - ttbar->Rebin(rebinF); - tt_Z->Rebin(rebinF); - tt_W->Rebin(rebinF); - DATA->Rebin(rebinF); - QCData->Rebin(rebinF/2); - - -// cout << "input params: " << endl; - //systematic samples - NttbarUp = ttbar_sys->Integral(); - NtotPassUp = ttbarUpAll->Integral(); - NttbarDown = ttbar_sysdown->Integral(); - NtotPassDown = ttbarDownAll->Integral(); - NttbarUpMat = ttbar_mup->Integral(); - NtotPassUpMat = ttbarUpAllMat->Integral(); - NttbarDownMat = ttbar_mdown->Integral(); - NtotPassDownMat = ttbarDownAllMat->Integral(); - - NttbarNLO = ttbar_nlo->Integral(); - NtotPassNLO = ttbar_nloAll->Integral(); - NttbarPOW = ttbar_powheg->Integral(); - NtotPassPOW = ttbar_powhegAll->Integral(); - - Nsignal = signal->Integral(); - Nwjets = wjets->Integral(); - Nzjets = zjets->Integral(); - NQCD = QCD->Integral(); - NSinglT = SinglT->Integral(); - Nttbar = ttbar->Integral(); - NtotPass = ttbarAll->Integral(); - - -double Ntt_Z =tt_Z->Integral(); -double Ntt_W =tt_W->Integral(); -double tot = Nttbar+NSinglT+NQCD+Nzjets+Nwjets+Ntt_Z+Ntt_W; -double Ndata = DATA->Integral(); -// cout << "all tt: " << NtotPass << endl; -// cout << "signal: " << Nsignal << endl; -// cout << "wjets: " << Nwjets<< endl; -// cout << "zjets: " << Nzjets << endl; -// cout << "qcd: " << NQCD << endl; - - TString wstring = "wjets"+syst[sysErr]; - TString zstring = "zjets"+syst[sysErr]; - TString qcdstring = ""; - - - // Read in the data and templates. - getDataFromHis(f_central, jet_num, nbins); // Get data histrogram form central selection - getSignalFromHis(f_central, jet_num, syst[sysErr], nbins, ttbar_Vec, ttbar_err_Vec);// Get ttbar, single-top histrograms form MC with entral selection - - getTemFromHis(f_central, wstring, jet_num, nbins, wjets_Vec, wjets_err_Vec); - getTemFromHis(f_central, zstring, jet_num, nbins, zjets_Vec, zjets_err_Vec); - getTemFromHis(f_templates, qcdstring, jet_num_temp, nbins, qcd_Vec, qcd_err_Vec); - - f_central->Close(); - f_templates->Close(); - - // Initialize minuit, set initial values etc. of parameters. - const int npar = 4; // the number of parameters - TMinuit minuit(npar); - minuit.SetFCN(fcn); - - //minuit.SetPrintLevel(1); - minuit.SetPrintLevel(-1); - minuit.SetErrorDef(1.); - - double fraction= NSinglT/Nsignal; - - int ierflg = 0; - string parName[npar] = {"ttbar+single-top", "wjets", "zjets", "qcd"}; //background parameters - double par[npar] = {Nsignal, Nwjets, Nzjets, NQCD}; //using the MC estimation as the start values 1fb - - //cout << "total data events: " << Ntotal << endl; - - for(int i=0; iGetBinWidth(met+1); - -measured->SetBinContent(met+1,xs_fit/width); -measured->SetBinError(met+1,(xs_fitup-xs_fit)/width); - -nlo->SetBinContent(met+1,nloNum/157.5/width); -powheg->SetBinContent(met+1,powhegNum/157.5/width); -theor->SetBinContent(met+1, (theorNum/157.5/width)); - -sysup->SetBinContent(met+1, (upNum/157.5/width)); -sysdown->SetBinContent(met+1, (downNum/157.5/width)); -mup->SetBinContent(met+1, (mupNum/157.5/width)); -mdown->SetBinContent(met+1, (mdownNum/157.5/width)); - - -x[met] = measured->GetBinCenter(met+1); -y[met] = xs_fit/width; -//exl[met] = measured->GetBinWidth(met+1)/2.; -//exh[met] = measured->GetBinWidth(met+1)/2.; -exl[met] = 0.; -exh[met] = 0.; -} //end of met loop - -//uncertainties***************************************************************************** -double tempStat[5] = {1.806/25./157.5, 1.888/20./157.5, 2.051/25./157.5, 1.072/30./157.5, 1.215/50./157.5}; - -double JESup[5] = {-0.000151962 , 0.000272578 , -4.23099e-05 , -3.70002e-05 , 7.25276e-06}; -double JESdown[5] = {-8.05871e-05 , -0.000135049 , -5.47969e-05 , -1.05896e-05 , 0.000126441}; - -double Qallup[5] = {0.000661542 , -0.00164854 , 0.0015185 , -0.000777495 , 4.91053e-05}; -double Qalldown[5] = {0.000976746 , -0.00126681 , 9.94392e-06 , -0.000330413 , 0.000231151}; - -double Mallup[5] = {0.00107054 , -0.00175803 , 0.000500762 , -0.000368955 , 0.000160332}; -double Malldown[5] = {0.00054994 , -0.000711093 , 0.000512741 , -0.000469302 , 4.56639e-05}; - -double singletD[5] = {3.79915e-06 , -1.64281e-05 , 1.61034e-05 , -1.38118e-05 , 4.97002e-06}; -double singletU[5] = {-3.95387e-06 , 1.7004e-05 , -1.67224e-05 , 1.4347e-05 , -5.16378e-06 }; - -double lumiD[5] = {-5.15494e-06 , -2.72603e-06 , -5.41703e-06 , 2.85952e-06 , 4.54458e-06}; -double lumiU[5] = {7.62411e-06 , -3.49747e-06 , 3.93426e-06 , -6.09136e-06 , -5.85902e-07}; - -double pdf[5] = {2.71e-05 , 3.66e-05 , 1.28e-05 , 1.33e-05 , 1.03e-05}; - -double METup[5] = {0.000177 , -0.000654 , 0.000105 , 1.24e-05 , 0.000117}; -double METdown[5] = {2.12e-05 , 0.000176 , 0.00031 , -0.000145 , -0.000149}; - -double stat[5] = {0.000370122 , 0.000482173 , 0.000393533 , 0.000199431 , 0.000133263}; - -double up[5], down[5]; - -for(int bin = 0; bin < 5; bin++ ){ -down[bin] = sqrt(pow(JESdown[bin],2)+pow(Qalldown[bin],2)+pow(Malldown[bin],2)+pow(singletD[bin],2)+pow(lumiD[bin],2)+pow(pdf[bin],2)+pow(METdown[bin],2)+pow(stat[bin],2)+pow(tempStat[bin],2)); -up[bin] = sqrt(pow(JESup[bin],2)+pow(Qallup[bin],2)+pow(Mallup[bin],2)+pow(singletD[bin],2)+pow(lumiD[bin],2)+pow(pdf[bin],2)+pow(METup[bin],2)+pow(stat[bin],2)+pow(tempStat[bin],2)); -y[bin] = y[bin]/totXsect; - -} - -//electron values for >=2btags - double eleres[5] = {0.01*0.70, 0.01*1.25, 0.01*1.08, 0.01*0.56, 0.01*0.27}; - double eleyl[5] = {sqrt(pow(0.01*0.12,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.01,2)+pow(0.01*0.06,2)),sqrt(pow(0.01*0.19,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.05,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.03,2)+pow(0.01*0.01 ,2))}; - double eleyh[5] = {sqrt(pow(0.01*0.04,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.37,2)+pow(0.01*0.06,2)),sqrt(pow(0.01*0.03,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.07,2)+pow(0.01*0.02,2)),sqrt(pow(0.01*0.01,2)+pow(0.01*0.01 ,2))}; -//electron values for geq to 4jets -// double eleres[5] = {0.01*0.39, 0.01*0.99, 0.01*1.25, 0.01*0.73, 0.01*0.35}; -// double eleyl[5] = {sqrt(pow(0.01*0.51,2)+pow(0.01*0.07 ,2)),sqrt(pow(0.01*0.10,2)+pow(0.01*0.09,2)),sqrt(pow(0.01*0.40,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.02,2)+pow(0.01*0.39,2)),sqrt(pow(0.01*0.17,2)+pow(0.01*0.02 ,2))}; -// double eleyh[5] = {sqrt(pow(0.01*0.76,2)+pow(0.01*0.07 ,2)),sqrt(pow(0.01*0.63,2)+pow(0.01*0.09,2)),sqrt(pow(0.01*0.24,2)+pow(0.01*0.04 ,2)),sqrt(pow(0.01*0.02,2)+pow(0.01*0.12,2)),sqrt(pow(0.01*0.08,2)+pow(0.01*0.02 ,2))}; - - //electron values******************************************************************** -TGraphAsymmErrors* grele = new TGraphAsymmErrors(n,x,eleres,exl,exh,eleyl,eleyh); - grele->SetMarkerStyle(20); - grele->SetMarkerColor(4); - grele->SetLineColor(4); - grele->SetMarkerStyle(26); - - for(int bin = 0; bin < 5; bin++){ - ele->SetBinContent(bin+1,eleres[bin]); - ele->SetBinError(bin+1,0.000001); - } - - ele->SetMarkerStyle(20); - ele->SetMarkerColor(4); - ele->SetLineColor(4); - - //muon values************************************************************************* - double eyl[5] = {down[0],down[1],down[2],down[3],down[4]}; - double eyh[5] = {up[0],up[1],up[2],up[3],up[4]}; - TGraphAsymmErrors* gr = new TGraphAsymmErrors(n,x,y,exl,exh,eyl,eyh); - gr->SetMarkerColor(1); - gr->SetMarkerStyle(20); - gr->SetFillStyle(3004); - - - TCanvas *c= new TCanvas("c","c",10,10,800,600); - - - -measured->SetMarkerStyle(20); -measured->Scale(1./ totXsect); -//std::cout << "total measured x sect: " << totXsect << std::endl; - -//cout.precision(3); -//std::cout << "temp stat: " << std::endl; -//for(int i = 0; i<5; i++){ -//std::cout << tempStat[i] << "(" << (tempStat[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -//} - - //central previous vals no trigs - double central[5] = {0.00609465 , 0.0145213 , 0.0116628 , 0.00549336 , 0.00213862}; - -//std::cout << (measured->GetBinError(1)/y[0])*100 << " , " << (measured->GetBinError(2)/y[1])*100 << " , " << (measured->GetBinError(3)/y[2])*100 << " , " << (measured->GetBinError(4)/y[3])*100 << " , " << (measured->GetBinError(5)/y[4])*100 << std::endl; - - //uncertaint write out for muon -// std::cout << "tot up: " << std::endl; -// for(int i = 0; i<5; i++){ -// std::cout << up[i] << "(" << (up[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -// } -// std::cout << "tot down: " << std::endl; -// for(int i = 0; i<5; i++){ -// std::cout << down[i] << "(" << (down[i]/measured->GetBinContent(i+1))*100 << "\\%)" << " & " ; -// } - - -//Combination!!!********************************************************************************* -//std::cout << " combined vals: " << std::endl; -//combination stuff -double val[5]; double combUp[5]; double combDown[5]; -for(int i = 0; i<5; i++){ -double valnum = (measured->GetBinContent(i+1)/pow(up[i],2))+(measured->GetBinContent(i+1)/pow(down[i],2))+(eleres[i]/pow(eleyh[i],2))+(eleres[i]/pow(eleyl[i],2)); -double den = (1./pow(up[i],2))+(1./pow(down[i],2))+(1./pow(eleyh[i],2))+(1./pow(eleyl[i],2)); -val[i] = valnum/den; - -combUp[i] = sqrt(1./(1./pow(up[i],2)+pow(eleyh[i],2))); -combDown[i] = sqrt(1./(1./pow(down[i],2)+pow(eleyl[i],2))); - -//std::cout << val[i] << " , " ; -comb->SetBinContent(i+1, val[i]); -comb->SetBinError(i+1, 0.00000000001); -} - -TGraphAsymmErrors* grcomb = new TGraphAsymmErrors(n,x,val,exl,exh,combDown,combUp); - grcomb->SetMarkerStyle(20); - grcomb->SetMarkerColor(7); - grcomb->SetLineColor(7); - grcomb->SetMarkerStyle(20); - - comb->SetMarkerStyle(20); - comb->SetMarkerColor(7); - comb->SetLineColor(7); - -//show nominal calculated values -for(int i =1; i < 6; i++){ -nominal->SetBinContent(i,central[i-1]); - } - - - //plot colors - theor->SetLineColor(kRed+1); - sysup->SetLineColor(kOrange+1); - sysdown->SetLineColor(kGreen+1); - mup->SetLineColor(kBlue+1); - mdown->SetLineColor(kYellow+1); - //theor->SetFillColor(kRed+1); - nominal->SetLineColor(kBlue+1); - - sysup->SetLineStyle(7); - sysdown->SetLineStyle(7); - mup->SetLineStyle(7); - mdown->SetLineStyle(7); - - nlo->SetLineStyle(7); - powheg->SetLineStyle(7); - nlo->SetLineColor(kBlue+1); - powheg->SetLineColor(kGreen+1); - -theor->SetMinimum(0); -theor->SetMaximum(0.02); - - -theor->Draw(); -//nominal->Draw("same"); -//measured->Draw("Esame"); -//ele->Draw("Esame"); -gr->Draw("P"); -//ele and combined -//grele->Draw("Esame"); -//comb->Draw("Esame"); -//grcomb->Draw("Esame"); - -nominal->Draw("same"); - -//systs -// sysup->Draw("same"); -// sysdown->Draw("same"); -// mup->Draw("same"); -// mdown->Draw("same"); - -//gens -//nlo->Draw("same"); -//powheg->Draw("same"); - -//too see effect of an uncertainty for input of uncertainty - -//cout.precision(4); -//too see effect of an uncertainty - -//std::cout << " output: " << std::endl; -for(int bin = 1; bin<=5; bin++){ - //std::cout << 100*(measured->GetBinContent(bin)-nominal->GetBinContent(bin))/measured->GetBinContent(bin) << "\\\% & " ; - //for table (later) - std::cout << (measured->GetBinContent(bin)-nominal->GetBinContent(bin)) << " , "; - - -} - -std::cout << totXsect << std::endl; - -//legend - TLegend *tleg; - tleg = new TLegend(0.65,0.75,0.9,0.9); - tleg->SetTextSize(0.03); - tleg->SetBorderSize(0); - tleg->SetFillColor(10); - - - tleg->AddEntry(gr , "data '11'" , "lep"); -// tleg->AddEntry(ele , "e+jets (#geq 4 jets, #geq 2 btags)" , "lpe"); -// tleg->AddEntry(ele , "e+jets (#geq 4 jets)" , "lpe"); -// tleg->AddEntry(comb , "combined" , "lpe"); - - tleg->AddEntry(theor , "t#bar{t} (MADGRAPH)" , "l"); -// tleg->AddEntry(nlo , "t#bar{t} (MC@NLO)" , "l"); -// tleg->AddEntry(powheg , "t#bar{t} (POWHEG)" , "l"); - - //for sys -// tleg->AddEntry(sysup , "t#bar{t} Q^{2} up " , "l"); -// tleg->AddEntry(sysdown , "t#bar{t} Q^{2} down " , "l"); -// tleg->AddEntry(mup , "t#bar{t} matching up " , "l"); -// tleg->AddEntry(mdown , "t#bar{t} matching down " , "l"); -//tleg->AddEntry(nominal , "no trigger corrections" , "l"); - - tleg->Draw("same"); - - - -//titles -theor->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{#partial #sigma}{#partial MET} [GeV^{-1}]");theor->GetYaxis()->SetTitleSize(0.05); -theor->GetXaxis()->SetTitle("MET [GeV]"); theor->GetXaxis()->SetTitleSize(0.05); - - TText* textPrelim = doPrelim(lumi,0.16,0.96); - textPrelim->Draw(); - -//delete c; -} //end sys loop - -//c->SetLogy(1); - -//c->SaveAs("240712plots/eComb.png"); -//c->SaveAs("240712plots/eComb.pdf"); - -return 0; - -} - -//------------------------------------------------------------------------- - -// function to read in the data from a histogram -void getDataFromHis(TFile* inputFile, TString& jet_num, int& nxbins){ - - TH1F *h_data = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"data"); -Ntotal=0; - -// TFile* output = TFile::Open("muData.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// h_data->SetName("muData"); -// h_data->Write(); - - - - nbins = h_data->GetNbinsX(); - - xmax = xmin + nxbins*(h_data->GetBinWidth(1)); - - // cout<<"num of bins: "<GetBinContent(ibin+1); - - data_Vec.push_back(nn); - - Ntotal += nn; - - } - - // cout <<" \n Total number of events before the fit" << endl; - //cout <<" Data: \t "<& vect, vector& vect_err){ - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+templ); - - //std::cout<<"test: "<Integral()<Scale(1./his_mc_array->Integral()); - //std::cout<<"test: "<GetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - //std::cout << "{" << his_mc_array->GetBinContent(ibin+1) << "," << his_mc_array->GetBinError(ibin+1) << "}, "; - - } - //std::cout<< "}" << std::endl; - -} - - -void getSignalFromHis(TFile* inputFile, TString& jet_num, TString& syst,int& nxbins, vector& vect, vector& vect_err){ - - - TH1F* his_mc_array = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"tt"+syst); - TH1F* his_mc_stop = (TH1F*) inputFile->Get("metEta_h_"+jet_num+"SinglT"); - his_mc_array->Add(his_mc_stop); - - his_mc_array->Scale(1./his_mc_array->Integral()); - - - - -// TFile* output = TFile::Open("signal.root","UPDATE"); -// // his_mc_array->Scale(10909.); -// his_mc_array->SetName("SignalTemplate"); -// his_mc_array->Write(); - - - for(int ibin=0; ibinGetBinContent(ibin+1)); - vect_err.push_back(his_mc_array->GetBinError(ibin+1)); - - } - - -} -//------------------------------------------------------------------------- - -// fcn passes back f = - 2*ln(L), the function to be minimized. not sure if N_{single top} is obtained from fitting -void fcn(int& npar, double* deriv, double& f, double par[], int flag){ - - double lnL = 0.0; - - - for (int i=0; i0){ - nqcd = NQCD; - } - else{ - nqcd = 0.00000001; - } - double nqcd_err = nqcd*1.; - - //cout << "qcd:" << NQCD << " ,par3: " << par[3] << endl; - - //double r = nwjets/nzjets; - //double r_err = r*0.01; - - //f += (par[1]/par[2]-r)*(par[1]/par[2]-r)/r_err/r_err; - //Wjets constrain -// f += (par[1]-nwjets)*(par[1]-nwjets)/nwjets_err/nwjets_err; -// //Zjets constrain -// f += (par[2]-nzjets)*(par[2]-nzjets)/nzjets_err/nzjets_err; -// //QCD constrain -// f += (par[3]-nqcd)*(par[3]-nqcd)/nqcd_err/nqcd_err; - - //Ratio Constrain - //f += ( (par[1]/par[2] - nwjets/nzjets) / (0.3 *nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ) * ( (par[1]/par[2] - nwjets/nzjets) / (0.3*nwjets/nzjets) ); //chi4? - - - //ratio constraints - f += ( (par[2]/par[1] - nzjets/nwjets) / (0.05 *nzjets/nwjets) ) * ( (par[2]/par[1] - nzjets/nwjets) / (0.05*nzjets/nwjets) ); //swap - - - f += ((par[3]-nqcd)*(par[3]-nqcd))/nqcd_err/nqcd_err; - - -} - -/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// -TText* doPrelim(float luminosity, float x, float y) -{ - std::ostringstream stream; - stream <<"#mu, #geq 4 jets, #geq 2 b-tags CMS Preliminary, L = 5.0 fb^{-1} @ #sqrt{s} = 7 TeV"; - - TLatex* text = new TLatex(x, y, stream.str().c_str()); - //text->SetTextAlign(33); //left - //text->SetTextAlign(22); //center - //text->SetTextAlign(11); //right -text->SetNDC(true); -text->SetTextFont(42); -text->SetTextSize(0.035); // for thesis - - return text; -} diff --git a/scripts/forLuke/systematicFits_cc.d b/scripts/forLuke/systematicFits_cc.d deleted file mode 100644 index d39f09f0..00000000 --- a/scripts/forLuke/systematicFits_cc.d +++ /dev/null @@ -1,84 +0,0 @@ - -# DO NOT DELETE - -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TMinuit.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TNamed.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TObject.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/Rtypes.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/RConfig.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/RVersion.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/DllImport.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/Rtypeinfo.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/snprintf.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/strlcpy.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TGenericClassInfo.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TSchemaHelper.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TStorage.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TVersionCheck.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/Riosfwd.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TBuffer.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TString.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TMathBase.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TMethodCall.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TDictionary.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/Property.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TCanvas.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TPad.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TVirtualPad.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TAttPad.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TVirtualX.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TAttLine.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TAttFill.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TAttText.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TAttMarker.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/GuiTypes.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/Buttons.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TQObject.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TAttCanvas.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TCanvasImp.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TStyle.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TAttAxis.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TArrayI.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TArray.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TROOT.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TDirectory.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TList.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TSeqCollection.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TCollection.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TIterator.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TDatime.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TUUID.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TF1.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TFormula.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TBits.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TObjArray.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/Math/ParamFunctor.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TAxis.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TArrayD.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TLine.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TMath.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TError.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/THStack.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TH1.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TArrayC.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TArrayS.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TArrayF.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/Foption.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TVectorFfwd.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TVectorDfwd.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TFitResultPtr.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TLatex.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TText.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TLegend.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TPave.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TBox.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TFile.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TDirectoryFile.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TMap.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/THashTable.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TUrl.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TGraphAsymmErrors.h -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/TGraph.h -./systematicFits_cc.so: tdrstyle.C -./systematicFits_cc.so: /software/root/v5.34.00/normal/include/cintdictversion.h /software/root/v5.34.00/normal/include/RVersion.h -systematicFits_cc__ROOTBUILDVERSION= 5.34/00 diff --git a/scripts/forLuke/tdrStyle.py b/scripts/forLuke/tdrStyle.py deleted file mode 100644 index 9dc2f23f..00000000 --- a/scripts/forLuke/tdrStyle.py +++ /dev/null @@ -1,156 +0,0 @@ -#include "TStyle.h" -from ROOT import TPad, TStyle, kWhite, kTRUE - -# tdrGrid: Turns the grid lines on (true) or off (false) - -def tdrGrid(tdrStyle, gridOn): - tdrStyle.SetPadGridX(gridOn); - tdrStyle.SetPadGridY(gridOn); - - -# fixOverlay: Redraws the axis - -def fixOverlay(): - gPad.RedrawAxis(); - -def setTDRStyle(): - tdrStyle = TStyle("tdrStyle","Style for P-TDR"); - -# For the canvas: - tdrStyle.SetCanvasBorderMode(0); - tdrStyle.SetCanvasColor(kWhite); - tdrStyle.SetCanvasDefH(600); #Height of canvas - tdrStyle.SetCanvasDefW(600); #Width of canvas - tdrStyle.SetCanvasDefX(0); #POsition on screen - tdrStyle.SetCanvasDefY(0); - -# For the Pad: - tdrStyle.SetPadBorderMode(0); - # tdrStyle.SetPadBorderSize(Width_t size = 1); - tdrStyle.SetPadColor(kWhite); - tdrStyle.SetPadGridX(False); - tdrStyle.SetPadGridY(False); - tdrStyle.SetGridColor(0); - tdrStyle.SetGridStyle(3); - tdrStyle.SetGridWidth(1); - -# For the frame: - tdrStyle.SetFrameBorderMode(0); - tdrStyle.SetFrameBorderSize(1); - tdrStyle.SetFrameFillColor(0); - tdrStyle.SetFrameFillStyle(0); - tdrStyle.SetFrameLineColor(1); - tdrStyle.SetFrameLineStyle(1); - tdrStyle.SetFrameLineWidth(1); - -# For the histo: - # tdrStyle.SetHistFillColor(1); - # tdrStyle.SetHistFillStyle(0); - tdrStyle.SetHistLineColor(1); - tdrStyle.SetHistLineStyle(0); - tdrStyle.SetHistLineWidth(1); - # tdrStyle.SetLegoInnerR(Float_t rad = 0.5); - # tdrStyle.SetNumberContours(Int_t number = 20); - - tdrStyle.SetEndErrorSize(2); -# tdrStyle.SetErrorMarker(20); - tdrStyle.SetErrorX(0.); - - tdrStyle.SetMarkerStyle(20); - -#For the fit/function: - tdrStyle.SetOptFit(1); - tdrStyle.SetFitFormat("5.4g"); - tdrStyle.SetFuncColor(2); - tdrStyle.SetFuncStyle(1); - tdrStyle.SetFuncWidth(1); - -#For the date: - tdrStyle.SetOptDate(0); - # tdrStyle.SetDateX(Float_t x = 0.01); - # tdrStyle.SetDateY(Float_t y = 0.01); - -# For the statistics box: - tdrStyle.SetOptFile(0); - tdrStyle.SetOptStat(0); # To display the mean and RMS: SetOptStat("mr"); - tdrStyle.SetStatColor(kWhite); - tdrStyle.SetStatFont(42); - tdrStyle.SetStatFontSize(0.025); - tdrStyle.SetStatTextColor(1); - tdrStyle.SetStatFormat("6.4g"); - tdrStyle.SetStatBorderSize(1); - tdrStyle.SetStatH(0.1); - tdrStyle.SetStatW(0.15); - # tdrStyle.SetStatStyle(Style_t style = 1001); - # tdrStyle.SetStatX(Float_t x = 0); - # tdrStyle.SetStatY(Float_t y = 0); - -# Margins: - tdrStyle.SetPadTopMargin(0.05); - tdrStyle.SetPadBottomMargin(0.13); - tdrStyle.SetPadLeftMargin(0.16); - tdrStyle.SetPadRightMargin(0.02); - -# For the Global title: - - tdrStyle.SetOptTitle(0); - tdrStyle.SetTitleFont(42); - tdrStyle.SetTitleColor(1); - tdrStyle.SetTitleTextColor(1); - tdrStyle.SetTitleFillColor(10); - tdrStyle.SetTitleFontSize(0.05); - # tdrStyle.SetTitleH(0); # Set the height of the title box - # tdrStyle.SetTitleW(0); # Set the width of the title box - # tdrStyle.SetTitleX(0); # Set the position of the title box - # tdrStyle.SetTitleY(0.985); # Set the position of the title box - # tdrStyle.SetTitleStyle(Style_t style = 1001); - # tdrStyle.SetTitleBorderSize(2); - -# For the axis titles: - - tdrStyle.SetTitleColor(1, "XYZ"); - tdrStyle.SetTitleFont(42, "XYZ"); - tdrStyle.SetTitleSize(0.06, "XYZ"); - # tdrStyle.SetTitleXSize(Float_t size = 0.02); # Another way to set the size? - # tdrStyle.SetTitleYSize(Float_t size = 0.02); - tdrStyle.SetTitleXOffset(0.9); - tdrStyle.SetTitleYOffset(1.25); - # tdrStyle.SetTitleOffset(1.1, "Y"); # Another way to set the Offset - -# For the axis labels: - - tdrStyle.SetLabelColor(1, "XYZ"); - tdrStyle.SetLabelFont(42, "XYZ"); - tdrStyle.SetLabelOffset(0.007, "XYZ"); - tdrStyle.SetLabelSize(0.05, "XYZ"); - -# For the axis: - - tdrStyle.SetAxisColor(1, "XYZ"); - tdrStyle.SetStripDecimals(kTRUE); - tdrStyle.SetTickLength(0.03, "XYZ"); - tdrStyle.SetNdivisions(510, "XYZ"); - tdrStyle.SetPadTickX(1); # To get tick marks on the opposite side of the frame - tdrStyle.SetPadTickY(1); - -# Change for log plots: - tdrStyle.SetOptLogx(0); - tdrStyle.SetOptLogy(0); - tdrStyle.SetOptLogz(0); - -# Postscript options: - tdrStyle.SetPaperSize(20.,20.); - # tdrStyle.SetLineScalePS(Float_t scale = 3); - # tdrStyle.SetLineStyleString(Int_t i, const char* text); - # tdrStyle.SetHeaderPS(const char* header); - # tdrStyle.SetTitlePS(const char* pstitle); - - # tdrStyle.SetBarOffset(Float_t baroff = 0.5); - # tdrStyle.SetBarWidth(Float_t barwidth = 0.5); - # tdrStyle.SetPaintTextFormat(const char* format = "g"); - # tdrStyle.SetPalette(Int_t ncolors = 0, Int_t* colors = 0); - # tdrStyle.SetTimeOffset(Double_t toffset); - # tdrStyle.SetHistMinimumZero(kTRUE); - - tdrStyle.cd(); - return tdrStyle diff --git a/scripts/forLuke/tdrstyle.C b/scripts/forLuke/tdrstyle.C deleted file mode 100644 index cf781e21..00000000 --- a/scripts/forLuke/tdrstyle.C +++ /dev/null @@ -1,157 +0,0 @@ -#include "TStyle.h" - -// tdrGrid: Turns the grid lines on (true) or off (false) - -void tdrGrid(bool gridOn) { - tdrStyle->SetPadGridX(gridOn); - tdrStyle->SetPadGridY(gridOn); -} - -// fixOverlay: Redraws the axis - -void fixOverlay() { - gPad->RedrawAxis(); -} - -void setTDRStyle() { - TStyle *tdrStyle = new TStyle("tdrStyle","Style for P-TDR"); - -// For the canvas: - tdrStyle->SetCanvasBorderMode(0); - tdrStyle->SetCanvasColor(kWhite); - tdrStyle->SetCanvasDefH(600); //Height of canvas - tdrStyle->SetCanvasDefW(600); //Width of canvas - tdrStyle->SetCanvasDefX(0); //POsition on screen - tdrStyle->SetCanvasDefY(0); - -// For the Pad: - tdrStyle->SetPadBorderMode(0); - // tdrStyle->SetPadBorderSize(Width_t size = 1); - tdrStyle->SetPadColor(kWhite); - tdrStyle->SetPadGridX(false); - tdrStyle->SetPadGridY(false); - tdrStyle->SetGridColor(0); - tdrStyle->SetGridStyle(3); - tdrStyle->SetGridWidth(1); - -// For the frame: - tdrStyle->SetFrameBorderMode(0); - tdrStyle->SetFrameBorderSize(1); - tdrStyle->SetFrameFillColor(0); - tdrStyle->SetFrameFillStyle(0); - tdrStyle->SetFrameLineColor(1); - tdrStyle->SetFrameLineStyle(1); - tdrStyle->SetFrameLineWidth(1); - -// For the histo: - // tdrStyle->SetHistFillColor(1); - // tdrStyle->SetHistFillStyle(0); - tdrStyle->SetHistLineColor(1); - tdrStyle->SetHistLineStyle(0); - tdrStyle->SetHistLineWidth(1); - // tdrStyle->SetLegoInnerR(Float_t rad = 0.5); - // tdrStyle->SetNumberContours(Int_t number = 20); - - tdrStyle->SetEndErrorSize(2); -// tdrStyle->SetErrorMarker(20); - tdrStyle->SetErrorX(0.); - - tdrStyle->SetMarkerStyle(20); - -//For the fit/function: - tdrStyle->SetOptFit(1); - tdrStyle->SetFitFormat("5.4g"); - tdrStyle->SetFuncColor(2); - tdrStyle->SetFuncStyle(1); - tdrStyle->SetFuncWidth(1); - -//For the date: - tdrStyle->SetOptDate(0); - // tdrStyle->SetDateX(Float_t x = 0.01); - // tdrStyle->SetDateY(Float_t y = 0.01); - -// For the statistics box: - tdrStyle->SetOptFile(0); - tdrStyle->SetOptStat(0); // To display the mean and RMS: SetOptStat("mr"); - tdrStyle->SetStatColor(kWhite); - tdrStyle->SetStatFont(42); - tdrStyle->SetStatFontSize(0.025); - tdrStyle->SetStatTextColor(1); - tdrStyle->SetStatFormat("6.4g"); - tdrStyle->SetStatBorderSize(1); - tdrStyle->SetStatH(0.1); - tdrStyle->SetStatW(0.15); - // tdrStyle->SetStatStyle(Style_t style = 1001); - // tdrStyle->SetStatX(Float_t x = 0); - // tdrStyle->SetStatY(Float_t y = 0); - -// Margins: - tdrStyle->SetPadTopMargin(0.05); - tdrStyle->SetPadBottomMargin(0.13); - tdrStyle->SetPadLeftMargin(0.16); - tdrStyle->SetPadRightMargin(0.02); - -// For the Global title: - - tdrStyle->SetOptTitle(0); - tdrStyle->SetTitleFont(42); - tdrStyle->SetTitleColor(1); - tdrStyle->SetTitleTextColor(1); - tdrStyle->SetTitleFillColor(10); - tdrStyle->SetTitleFontSize(0.05); - // tdrStyle->SetTitleH(0); // Set the height of the title box - // tdrStyle->SetTitleW(0); // Set the width of the title box - // tdrStyle->SetTitleX(0); // Set the position of the title box - // tdrStyle->SetTitleY(0.985); // Set the position of the title box - // tdrStyle->SetTitleStyle(Style_t style = 1001); - // tdrStyle->SetTitleBorderSize(2); - -// For the axis titles: - - tdrStyle->SetTitleColor(1, "XYZ"); - tdrStyle->SetTitleFont(42, "XYZ"); - tdrStyle->SetTitleSize(0.06, "XYZ"); - // tdrStyle->SetTitleXSize(Float_t size = 0.02); // Another way to set the size? - // tdrStyle->SetTitleYSize(Float_t size = 0.02); - tdrStyle->SetTitleXOffset(0.9); - tdrStyle->SetTitleYOffset(1.25); - // tdrStyle->SetTitleOffset(1.1, "Y"); // Another way to set the Offset - -// For the axis labels: - - tdrStyle->SetLabelColor(1, "XYZ"); - tdrStyle->SetLabelFont(42, "XYZ"); - tdrStyle->SetLabelOffset(0.007, "XYZ"); - tdrStyle->SetLabelSize(0.05, "XYZ"); - -// For the axis: - - tdrStyle->SetAxisColor(1, "XYZ"); - tdrStyle->SetStripDecimals(kTRUE); - tdrStyle->SetTickLength(0.03, "XYZ"); - tdrStyle->SetNdivisions(510, "XYZ"); - tdrStyle->SetPadTickX(1); // To get tick marks on the opposite side of the frame - tdrStyle->SetPadTickY(1); - -// Change for log plots: - tdrStyle->SetOptLogx(0); - tdrStyle->SetOptLogy(0); - tdrStyle->SetOptLogz(0); - -// Postscript options: - tdrStyle->SetPaperSize(20.,20.); - // tdrStyle->SetLineScalePS(Float_t scale = 3); - // tdrStyle->SetLineStyleString(Int_t i, const char* text); - // tdrStyle->SetHeaderPS(const char* header); - // tdrStyle->SetTitlePS(const char* pstitle); - - // tdrStyle->SetBarOffset(Float_t baroff = 0.5); - // tdrStyle->SetBarWidth(Float_t barwidth = 0.5); - // tdrStyle->SetPaintTextFormat(const char* format = "g"); - // tdrStyle->SetPalette(Int_t ncolors = 0, Int_t* colors = 0); - // tdrStyle->SetTimeOffset(Double_t toffset); - // tdrStyle->SetHistMinimumZero(kTRUE); - - tdrStyle->cd(); - -} diff --git a/scripts/makeDiffVariablesPlots.py b/scripts/makeDiffVariablesPlots.py deleted file mode 100644 index 8f022a21..00000000 --- a/scripts/makeDiffVariablesPlots.py +++ /dev/null @@ -1,94 +0,0 @@ -import tools.PlottingUtilities as plotting -from ROOT import * -import sys - -def GetHist( histName , file ): - hist = file.Get( histName ) - if( not hist): - print "ERROR: histogram " + histName + " not found in " + file.GetName() - print "exiting..." - sys.exit() - return hist - -if __name__ == "__main__": - gROOT.Reset() - gStyle.SetHistMinimumZero(1) - gStyle.SetOptStat(0) - gStyle.SetErrorX(0.4) - - path = "/Users/phzss/work/Top_Analysis/TTbar+MET/compare_variables/" - input_path = path + "root_files_full_selection_except_btags/" - output_path = path + "plots_full_selection_except_btags/" - - ttjet_madgraph_file = input_path + "TTJet_5050pb_PFElectron_PFMuon_PF2PATJets_PFMET.root" - ttjet_mcatnlo_file = input_path + "TTJet_5050pb_PFElectron_PFMuon_PF2PATJets_PFMET_MCatNLO.root" - ttjet_powheg_file = input_path + "TTJet_5050pb_PFElectron_PFMuon_PF2PATJets_PFMET_POWHEG.root" - ttjet_pythia_file = input_path + "TTJet_5050pb_PFElectron_PFMuon_PF2PATJets_PFMET_PYTHIA6.root" - - file_madgraph = TFile(ttjet_madgraph_file) - file_mcatnlo = TFile(ttjet_mcatnlo_file) - file_powheg = TFile(ttjet_powheg_file) - file_pythia = TFile(ttjet_pythia_file) - - variables = ['M3', 'HT', 'HT_lepton', 'HT_lepton_MET', 'deltaR_lepton_MET', 'leptons_invariant_mass', 'leptonic_W_pt', 'MET_pt', 'MET_phi', 'MET_1st_jet_pt', - 'deltaPhi_lepton_2jets', 'invariant_mass_lepton_1bjet', 'deltaPhi_lepton_closest_bjet', 'deltaPhi_lepton_MET', - 'deltaPhi_lepton_2bjets', 'invariant_mass_lepton_2bjet', 'invariant_mass_2bjets', 'deltaPhi_2bjets', 'MET_bjets_pt', 'deltaPhi_MET_2bjets'] - - for variable in variables: - hist_madgraph = GetHist ("DiffVariablesAnalyser/" + variable, file_madgraph) - hist_mcatnlo = GetHist ("DiffVariablesAnalyser/" + variable, file_mcatnlo) - hist_powheg = GetHist ("DiffVariablesAnalyser/" + variable, file_powheg) - hist_pythia = GetHist ("DiffVariablesAnalyser/" + variable, file_pythia) - - if not variable == 'HT' and not variable== 'HT_lepton' and not variable== 'HT_lepton_MET': - hist_madgraph.Rebin(10) - hist_mcatnlo.Rebin(10) - hist_powheg.Rebin(10) - hist_pythia.Rebin(10) - - canvas = TCanvas() - hist_madgraph.SetLineColor(kBlack) - hist_mcatnlo.SetLineColor(kRed) - hist_powheg.SetLineColor(kBlue) - hist_pythia.SetLineColor(kGreen) - - hist_madgraph.SetLineWidth(2) - hist_mcatnlo.SetLineWidth(2) - hist_powheg.SetLineWidth(2) - hist_pythia.SetLineWidth(2) - - hist_madgraph.SetMarkerSize(2) - hist_mcatnlo.SetMarkerSize(2) - hist_powheg.SetMarkerSize(2) - hist_pythia.SetMarkerSize(2) - #hist_madgraph.SetMarkerStyle(20) - - hist_madgraph.Sumw2() - hist_mcatnlo.Sumw2() - hist_powheg.Sumw2() - hist_pythia.Sumw2() - - hist_madgraph.Scale(1/hist_madgraph.Integral()) - hist_mcatnlo.Scale(1/hist_mcatnlo.Integral()) - hist_powheg.Scale(1/hist_powheg.Integral()) - hist_pythia.Scale(1/hist_pythia.Integral()) - - hist_madgraph.Draw("E1") - hist_mcatnlo.Draw('E1 same') - hist_powheg.Draw('E1 same') - hist_pythia.Draw('E1 same') - - if variable == 'MET_phi': - legend = plotting.create_legend(x0=0.72, y0 = 0.90, x1=0.84, y1=0.80) - elif variable == 'deltaPhi_2bjets': - legend = plotting.create_legend(x0=0.42, y0 = 0.90, x1=0.54, y1=0.80) - else: - legend = plotting.create_legend(x0=0.72, y0 = 0.90, x1=0.84, y1=0.75) - legend.SetTextSize(0.03) - legend.AddEntry(hist_madgraph, 't#bar{t} (MADGRAPH)', 'l') - legend.AddEntry(hist_mcatnlo, 't#bar{t} (MC@NLO)', 'l') - legend.AddEntry(hist_powheg, 't#bar{t} (POWHEG)', 'l') - legend.AddEntry(hist_pythia, 't#bar{t} (PYTHIA6)', 'l') - legend.Draw() - - canvas.SaveAs(output_path+variable + ".pdf") diff --git a/scripts/makeMETplots.py b/scripts/makeMETplots.py deleted file mode 100644 index d3ce216e..00000000 --- a/scripts/makeMETplots.py +++ /dev/null @@ -1,97 +0,0 @@ -import tools.PlottingUtilities as plotting -from ROOT import * -import sys - -def GetHist( histName , file ): - hist = file.Get( histName ) - if( not hist): - print "ERROR: histogram " + histName + " not found in " + file.GetName() - print "exiting..." - sys.exit() - return hist - -if __name__ == "__main__": - gROOT.Reset() - gStyle.SetHistMinimumZero(1) - gStyle.SetOptStat(0) - gStyle.SetErrorX(0.4) - - path = "/Users/phzss/work/Top_Analysis/TTbar+MET/MET_corr_test/hists/" - input_path = path - output_path = "/Users/phzss/work/Top_Analysis/TTbar+MET/MET_corr_test/plots/" - - ttjet_nominal_file = input_path + "TTJet_nominal.root" - ttjet_sysshift_file = input_path + "TTJet_sysshift.root" - ttjet_type0_file = input_path + "TTJet_type0.root" - ttjet_sysshift_type0_file = input_path + "TTJet_sysshift_type0.root" - - file_nominal = TFile(ttjet_nominal_file) - file_sysshift = TFile(ttjet_sysshift_file) - file_type0 = TFile(ttjet_type0_file) - file_sysshift_type0 = TFile(ttjet_sysshift_type0_file) - - mets = ['patMETsPFlow', 'patType1CorrectedPFMet', 'patType1p2CorrectedPFMet', 'recoMetPFlow', 'GenMET' ] - variables = ['MET_phi', 'MET'] - bjet_bins = ['0btag', '1btag', '2btags', '3btags', '4orMoreBtags' ] - - for met in mets: - for variable in variables: - for bjet_bin in bjet_bins: - hist_nominal = GetHist ("METAnalysis/" + met +"/" + variable + "_" + bjet_bin, file_nominal) - hist_sysshift = GetHist ("METAnalysis/" + met +"/" + variable + "_" + bjet_bin, file_sysshift) - hist_type0 = GetHist ("METAnalysis/" + met +"/" + variable + "_" + bjet_bin, file_type0) - hist_sysshift_type0 = GetHist ("METAnalysis/" + met +"/" + variable + "_" + bjet_bin, file_sysshift_type0) - - if variable == 'MET': - rebin_value = 10 - else: - rebin_value = 4 - - hist_nominal.Rebin(rebin_value) - hist_sysshift.Rebin(rebin_value) - hist_type0.Rebin(rebin_value) - hist_sysshift_type0.Rebin(rebin_value) - - canvas = TCanvas() - hist_nominal.SetLineColor(kBlack) - hist_sysshift.SetLineColor(kRed) - hist_type0.SetLineColor(kBlue) - hist_sysshift_type0.SetLineColor(kGreen) - - hist_nominal.SetLineWidth(2) - hist_sysshift.SetLineWidth(2) - hist_type0.SetLineWidth(2) - hist_sysshift_type0.SetLineWidth(2) - - hist_nominal.SetMarkerSize(2) - hist_sysshift.SetMarkerSize(2) - hist_type0.SetMarkerSize(2) - hist_sysshift_type0.SetMarkerSize(2) - - hist_type0.Draw() - hist_sysshift.Draw('same') - hist_sysshift_type0.Draw('same') - hist_nominal.Draw('same') - - if variable == 'MET': - hist_nominal.SetAxisRange(0,300, "X") - hist_sysshift.SetAxisRange(0,300, "X") - hist_type0.SetAxisRange(0,300, "X") - hist_sysshift_type0.SetAxisRange(0,300, "X") - - hist_type0.Draw() - hist_sysshift.Draw('same') - hist_sysshift_type0.Draw('same') - hist_nominal.Draw('same') - - legend = plotting.create_legend(x0=0.72, y0 = 0.90, x1=0.84, y1=0.75) - legend.SetTextSize(0.03) - legend.AddEntry(hist_nominal, 't#bar{t} nominal', 'l') - legend.AddEntry(hist_sysshift, 't#bar{t} sys_shift', 'l') - legend.AddEntry(hist_type0, 't#bar{t} type0', 'l') - legend.AddEntry(hist_sysshift_type0, 't#bar{t} sys_shift+type0', 'l') - legend.Draw() - - canvas.SaveAs(output_path + met +"_" + variable + "_" + bjet_bin + ".pdf") - - diff --git a/scripts/makePrettyPlots.py b/scripts/makePrettyPlots.py deleted file mode 100644 index 92a44c64..00000000 --- a/scripts/makePrettyPlots.py +++ /dev/null @@ -1,41 +0,0 @@ -''' -Created on Nov 22, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch - -important features: - -- read MC and data histograms and combine them -- set styles and colors -- allow switches for log-scale, cumulitative histograms, underflow/overflow bins, error sources - -''' - -import tools.PlottingUtilities as plotting -import FILES -import ROOTFileReader as reader -import QCDRateEstimation - -def plot(histpath, qcdShapeFrom, qcdShapeForSystematics, qcdRateEstimate, rebin=1, suffixes=[]): - inputFiles = FILES.files - #get histograms - if len(suffixes) > 0: - for suffix in suffixes: - hist = histpath + '_' + suffix - histograms = reader.getHistogramDictionary(histpath, inputFiles) - else: - histograms = reader.getHistogramDictionary(histpath, inputFiles) - - -if __name__ == "__main__": - inputFiles = FILES.files - estimateQCD = QCDRateEstimation.estimateQCDWithRelIso - plot(histpath='TTbarEplusJetsPlusMetAnalysis/Ref selection/MET/patMETsPFlow/Angle_lepton_MET', - qcdShapeFrom ='TTbarEplusJetsPlusMetAnalysis/Ref selection/QCDConversions/MET/patMETsPFlow/Angle_lepton_MET', - qcdShapeForSystematics = 'TTbarEplusJetsPlusMetAnalysis/Ref selection/QCD non iso e+jets/MET/patMETsPFlow/Angle_lepton_MET', - qcdRateEstimate=estimateQCD, - rebin=1, - suffixes=['0btag', '1btag', '2orMoreBtags']) - diff --git a/scripts/measureCrossSection.py b/scripts/measureCrossSection.py deleted file mode 100644 index 5b6f3d98..00000000 --- a/scripts/measureCrossSection.py +++ /dev/null @@ -1,2422 +0,0 @@ -from __future__ import division -from ROOT import * -from ROOT import TPaveText, kRed, TH1F, Double, TMinuit, Long, kGreen, gROOT, TCanvas, kMagenta, kBlue, TGraphAsymmErrors, TMath -from ROOT import kAzure, kYellow, kViolet, THStack, gStyle -from math import sqrt -from ROOT import RooRealVar, RooDataHist, RooArgList, RooHistPdf, RooArgSet, RooAddPdf, RooMCStudy, RooFit, RooMsgService -import ROOT -import FILES -import tools.ROOTFileReader as FileReader -from array import array -import tools.PlottingUtilities as plotting -import tools.FileUtilities as fileutils -#import QCDRateEstimation -from copy import deepcopy -import numpy -from tools.Timer import Timer -import QCDRateEstimation -from optparse import OptionParser -from tools.ColorPrinter import colorstr -import json -from config.sampleSummations import qcd_samples, muon_qcd_samples, singleTop_samples, wplusjets_samples, zplusjets_samples, allMC_samples, signal_samples, vplusjets_samples -from sets import Set -import sys -correctionFactors = None -acceptanceFactors = None -contaminationFactors = None -savePath = "/storage/TopQuarkGroup/results/AN-13-015_V2/DiffXSectionMeasurement/unfolding/" -outputFormat_tables = 'latex' #other option: twiki -outputFormat_plots = ['png', 'pdf'] - -#analysisType = 'EPlusJets' -used_data = 'SingleElectron' -data_label = {'EPlusJets':'SingleElectron', 'MuPlusJets':'SingleMu', 'Combination': 'Combination'} -#analysis_folder = 'TTbar_plus_X_analysis/EPlusJets' -rebin = 20 -qcdLabel = 'QCDFromData' -metType = 'patMETsPFlow' -normalisation = None -vectors = None -N_Events = {} -N_ttbar_by_source = {} -DEBUG = False -use_RooFit = False -constrains = { - qcdLabel: {'enabled':False, 'value': 1}, - 'ratio_Z_W': {'enabled':False, 'value': 0.05}, - 'W+Jets': {'enabled':False, 'value': 0.3}, - 'DYJetsToLL': {'enabled':False, 'value': 0.3}, -# 'Di-Boson': {'enabled':False, 'value': 0.3}, - } -fit_index = 0 - -scale_factors = { - 'luminosity':1, - 'SingleTop':1, - 'TTJet':1, - 'W+Jets':1, - 'DYJetsToLL':1, -# 'POWHEG':7483496 / 3393627, - 'POWHEG':6920475 / 21666179, -# 'PYTHIA6':7483496 / 1089625, -# 'MCatNLO':7483496 / 3437894, - 'MCatNLO':6920475 / 32739786 - } - -metbins = [ - '0-25', - '25-45', - '45-70', - '70-100', - '100-150', - '150-inf' - ] -metbin_widths = { - '0-25':25, - '25-45':20, - '45-70':25, - '70-100':30, - '100-150':50, - '150-inf':50 - } -MET_LATEX = "E_{T}^{miss}" -metbin_latex = { - '0-25':'0 #leq %s < 25 GeV' % MET_LATEX, - '25-45':'25 #leq %s < 45 GeV' % MET_LATEX, - '45-70':'45 #leq %s < 70 GeV' % MET_LATEX, - '70-100':'70 #leq %s < 100 GeV' % MET_LATEX, - '100-150':'100 #leq %s < 150 GeV' % MET_LATEX, - '150-inf':'%s #geq 150 GeV' % MET_LATEX, - } - -metbin_latex_tables = { - '0-25':'0--25~\GeV', - '25-45':'25--45~\GeV', - '45-70':'45--70~\GeV', - '70-100':'70--100~\GeV', - '100-150':'100--150~\GeV', - '150-inf':'$\\geq 150$~\GeV' - } - -doBinByBinUnfolding = False - -metsystematics_sources = [ - "patType1p2CorrectedPFMetElectronEnUp", - "patType1p2CorrectedPFMetElectronEnDown", - "patType1p2CorrectedPFMetMuonEnUp", - "patType1p2CorrectedPFMetMuonEnDown", - "patType1p2CorrectedPFMetTauEnUp", - "patType1p2CorrectedPFMetTauEnDown", - "patType1p2CorrectedPFMetJetResUp", - "patType1p2CorrectedPFMetJetResDown", - "patType1p2CorrectedPFMetJetEnUp", - "patType1p2CorrectedPFMetJetEnDown", - "patType1p2CorrectedPFMetUnclusteredEnUp", - "patType1p2CorrectedPFMetUnclusteredEnDown" - ] - -metsystematics_sources_latex = { - "patType1p2CorrectedPFMetElectronEnUp":'Electron energy $+1\sigma$', - "patType1p2CorrectedPFMetElectronEnDown":'Electron energy $-1\sigma$', - "patType1p2CorrectedPFMetMuonEnUp":'Muon energy $+1\sigma$', - "patType1p2CorrectedPFMetMuonEnDown":'Muon energy $-1\sigma$', - "patType1p2CorrectedPFMetTauEnUp":'Tau energy $+1\sigma$', - "patType1p2CorrectedPFMetTauEnDown":'Tau energy $-1\sigma$', - "patType1p2CorrectedPFMetJetResUp":'Jet resolution $+1\sigma$', - "patType1p2CorrectedPFMetJetResDown":'Jet resolution $-1\sigma$', - "patType1p2CorrectedPFMetJetEnUp":'Jet energy $+1\sigma$', - "patType1p2CorrectedPFMetJetEnDown":'Jet energy $-1\sigma$', - "patType1p2CorrectedPFMetUnclusteredEnUp":'Unclustered energy $+1\sigma$', - "patType1p2CorrectedPFMetUnclusteredEnDown":'Unclustered energy $-1\sigma$' - } - -BjetBinsLatex = {'0btag':'0 b-tags', '0orMoreBtag':'#geq 0 b-tags', '1btag':'1 b-tags', - '1orMoreBtag':'#geq 1 b-tags', - '2btags':'2 b-tags', '2orMoreBtags':'#geq 2 b-tags', - '3btags':'3 b-tags', '3orMoreBtags':'#geq 3 b-tags', - '4orMoreBtags':'#geq 4 b-tags'} - -doSymmetricErrors = True -N_QCD = 14856 -bjetbin = '0orMoreBtag' -metbin = metbins[0] -current_source = 'None' - -def MinuitFitFunction(nParameters, gin, f, par, iflag): - global normalisation, vectors, qcdLabel - lnL = 0.0 - input_vectors = zip(vectors[used_data], - vectors['Signal'], - vectors['V+Jets'], -# vectors['W+Jets'], -# vectors['DYJetsToLL'], - vectors[qcdLabel], -# vectors['Di-Boson'] - ) - -# for data, signal, wjets, zjets, qcd, diBoson in input: -# for data, signal, wjets, zjets, qcd in input_vectors: - for data, signal, vjets, qcd in input_vectors: - #signal = ttjet + singleTop - x_i = par[0] * signal + par[1] * vjets + par[2] * qcd# + par[4] * diBoson#expected number of events in each bin - data = data * normalisation[used_data] - if (data != 0) and (x_i != 0): - L = TMath.Poisson(data, x_i) - lnL += TMath.log(L) - f[0] = -2.0 * lnL - - #constrains -# ratio of Z/W to 5% -# if constrains['ratio_Z_W']['enabled']: -# ratio_Z_W = normalisation['DYJetsToLL'] / normalisation['W+Jets'] -# if ratio_Z_W == 0 or par[1] == 0: -# f[0] += 1 -# else: -# f[0] += ((par[2] / par[1] - ratio_Z_W) / (constrains['ratio_Z_W']['value'] * ratio_Z_W)) ** 2 -# if constrains['W+Jets']['enabled']: -# f[0] += ((par[1] - normalisation['W+Jets']) / (constrains['W+Jets']['value'] * normalisation['W+Jets'])) ** 2 -# if constrains['DYJetsToLL']['enabled']: -# f[0] += ((par[2] - normalisation['DYJetsToLL']) / (constrains['DYJetsToLL']['value'] * normalisation['DYJetsToLL'])) ** 2 - if constrains[qcdLabel]['enabled']: - f[0] += ((par[2] - N_QCD) / (constrains[qcdLabel]['value'] * N_QCD)) ** 2 -# if constrains['Di-Boson']['enabled']: -# f[0] += ((par[4] - normalisation['Di-Boson']) / (constrains['Di-Boson']['value'] * normalisation['Di-Boson'])) ** 2 - -def createFitHistogram(fitvalues, fiterrors, templates): - global fit_index - fit = TH1F('fit_' + str(fit_index), 'fit', len(templates['Signal']), 0, 3) - fit_index += 1 - bin_i = 1 - input_vectors = zip(vectors['Signal'], - vectors['V+Jets'], - vectors[qcdLabel], - ) - for signal, vjets, qcd in input_vectors: - value = fitvalues[0] * signal + fitvalues[1] * vjets + fitvalues[2] * qcd #+ fitvalues[4] * diBoson - error = sqrt((fiterrors[0] * signal) ** 2 + (fiterrors[1] * vjets) ** 2 + (fiterrors[2] * qcd) ** 2) - fit.SetBinContent(bin_i, value) - fit.SetBinError(bin_i, error) - bin_i += 1 - return fit.Clone() - -def getFittedNormalisation(vectors_={}, normalisation_={}): - global normalisation, vectors, bjetbin - normalisation = normalisation_ - vectors = vectors_ - - #setup minuit - numberOfParameters = 3#4#5 - gMinuit = TMinuit(numberOfParameters) - gMinuit.SetFCN(MinuitFitFunction) - gMinuit.SetPrintLevel(-1) - #Error definition: 1 for chi-squared, 0.5 for negative log likelihood - gMinuit.SetErrorDef(1) - #error flag for functions passed as reference.set to as 0 is no error - errorFlag = Long(2) - - N_total = normalisation[used_data] * 2 - N_min = 0 -# N_total = 1e6 -# N_min = -N_total - - N_QCD = normalisation[qcdLabel] -# N_QCD = normalisation['QCD'] - if DEBUG: - print len(vectors[used_data]), len(vectors['Signal']), len(vectors['W+Jets']), len(vectors['DYJetsToLL']), len(vectors['QCDFromData']) - print "Total number of data events before the fit: ", N_total - N_signal = normalisation['TTJet'] + normalisation['SingleTop'] - gMinuit.mnparm(0, "N_signal(ttbar+single_top)", N_signal, 10.0, N_min, N_total, errorFlag) - gMinuit.mnparm(1, "V+Jets", normalisation['V+Jets'], 10.0, N_min, N_total, errorFlag) -# gMinuit.mnparm(1, "W+Jets", normalisation['W+Jets'], 10.0, N_min, N_total, errorFlag) -# gMinuit.mnparm(2, "DYJetsToLL", normalisation['DYJetsToLL'], 10.0, N_min, N_total, errorFlag) - gMinuit.mnparm(2, "QCD", N_QCD, 10.0, N_min, N_total, errorFlag) -# gMinuit.mnparm(4, "Di-Boson", normalisation['Di-Boson'], 10.0, 0, N_total, errorFlag) - - arglist = array('d', 10 * [0.]) - #minimisation strategy: 1 standard, 2 try to improve minimum (a bit slower) - arglist[0] = 2 - #minimisation itself - gMinuit.mnexcm("SET STR", arglist, 1, errorFlag) - gMinuit.Migrad() - - fitvalues, fiterrors = [], [] - for index in range(numberOfParameters): - temp_par = Double(0) - temp_err = Double(0) - gMinuit.GetParameter(index, temp_par, temp_err) - fitvalues.append(temp_par) - fiterrors.append(temp_err) - - N_ttbar = fitvalues[0] - normalisation['SingleTop'] - N_ttbar_err = (fitvalues[0] - normalisation['SingleTop']) * fiterrors[0] / fitvalues[0] - if (normalisation['V+Jets'] != 0): - N_ZPlusJets = fitvalues[1] - (fitvalues[1] * normalisation['W+Jets'] / normalisation['V+Jets']) - else: - N_ZPlusJets = fitvalues[1] - #the error appears twice in the above calculation -> E(N_Z) = E(N_V)*sqrt(2) - N_ZPlusJets_err = fiterrors[0] / fitvalues[1] * N_ZPlusJets - if (normalisation['V+Jets'] != 0): - N_WPlusJets = fitvalues[1] - (fitvalues[1] * normalisation['DYJetsToLL'] / normalisation['V+Jets']) - else: - N_WPlusJets = fitvalues[1] - N_WPlusJets_err = fiterrors[0] / fitvalues[1] * N_WPlusJets - - N_SingleTop = fitvalues[0] - (fitvalues[0] * normalisation['TTJet'] / normalisation['Signal']) - N_SingleTop_err = fiterrors[0] / fitvalues[0] * N_SingleTop * sqrt(2) - result = {'Signal': {'value': fitvalues[0], 'error':fiterrors[0]}, - 'Signal Before Fit': {'value': N_signal, 'error':0}, - 'V+Jets': {'value': fitvalues[1], 'error':fiterrors[0]}, - 'W+Jets': {'value': N_WPlusJets, 'error':N_WPlusJets_err}, - 'DYJetsToLL': {'value': N_ZPlusJets, 'error':N_ZPlusJets_err}, - qcdLabel: {'value': fitvalues[2], 'error':fiterrors[2]}, -# 'Di-Boson': {'value': fitvalues[4], 'error':fiterrors[4]}, - 'TTJet': {'value': N_ttbar, 'error' : N_ttbar_err}, - used_data: {'value': normalisation[used_data], 'error':0}, - 'SingleTop': {'value': N_SingleTop, 'error':N_SingleTop_err}, - 'SingleTop Before Fit': {'value': normalisation['SingleTop'], 'error':0}, - 'TTJet Before Fit': {'value': normalisation['TTJet'], 'error':0}, - 'QCD Before Fit': {'value': normalisation[qcdLabel], 'error':0}, - 'V+Jets BeforeFit': {'value': normalisation['V+Jets'], 'error':0}, - 'W+Jets BeforeFit': {'value': normalisation['W+Jets'], 'error':0}, - 'DYJetsToLL Before Fit': {'value': normalisation['DYJetsToLL'], 'error':0}, - 'SumMC': {'value': sum(fitvalues), 'error':sqrt(fiterrors[0] ** 2 + fiterrors[1] ** 2 + fiterrors[2] ** 2)}, - 'SumMC Before Fit': {'value': normalisation['V+Jets'] + normalisation[qcdLabel] + N_signal, 'error':0}, - 'fit': createFitHistogram(fitvalues, fiterrors, vectors), - 'vectors':vectors} - if current_source == 'central': - result.update({ - #other generators - 'POWHEG': {'value': normalisation['POWHEG'] * scale_factors['POWHEG'], 'error':0}, -# 'PYTHIA6': {'value': normalisation['PYTHIA6'] * scale_factors['PYTHIA6'], 'error':0}, - 'MCatNLO': {'value': normalisation['MCatNLO'] * scale_factors['MCatNLO'], 'error':0}, - }) - return result - -def normaliseHistograms(histograms, normalisation): - for histogramName, histogram in histograms.iteritems(): - histogram = plotting.normalise(histogram) - histogram.Scale(normalisation[histogramName]) - return histograms - -def getPDFs(histograms): - h_data = histograms[used_data] - temp_tt = histograms['TTJet'] - temp_wj = histograms['W+Jets'] -# temp_wj.Add(histograms['W2Jets']) -# temp_wj.Add(histograms['W3Jets']) -# temp_wj.Add(histograms['W4Jets']) - temp_zj = histograms['DYJetsToLL'] - temp_qcd = histograms[qcdLabel] - temp_stop = histograms['SingleTop'] - temp_signal = temp_tt.Clone('Signal') - temp_signal.Add(temp_stop) - temp_VPlusJets = temp_zj.Clone('V+jets') - temp_VPlusJets.Add(temp_wj) - - leptonAbsEta = RooRealVar("leptonAbsEta", "leptonAbsEta", 0., 3.) - variables = RooArgList() - variables.add(leptonAbsEta) - vars_set = RooArgSet() - vars_set.add(leptonAbsEta) - - data = RooDataHist("data", "dataset with leptonAbsEta", variables, h_data) - rh_tt = RooDataHist("rh_tt", "tt", variables, temp_tt); - rh_wj = RooDataHist("rh_wj", "wj", variables, temp_wj); - rh_zj = RooDataHist("rh_zj", "zj", variables, temp_zj); - rh_VJ = RooDataHist("rh_VJ", "VJ", variables, temp_VPlusJets); - rh_qcd = RooDataHist("rh_qcd", "qcd", variables, temp_qcd); - rh_stop = RooDataHist("rh_stop", "singletop", variables, temp_stop); - rh_signal = RooDataHist("rh_signal", "signal", variables, temp_signal); - roodatahists = [data, rh_VJ, rh_qcd, rh_signal] - - pdfs = {} - pdfs[used_data] = data - pdfs['TTJet'] = RooHistPdf("pdf_tt", "Signal pdf", vars_set, rh_tt, 0); - pdfs['W+Jets'] = RooHistPdf ("pdf_wj", "W+jets pdf", vars_set, rh_wj, 0); - pdfs['DYJetsToLL'] = RooHistPdf ("pdf_zj", "Z+jets pdf", vars_set, rh_zj, 0); - pdfs['V+Jets'] = RooHistPdf ("pdf_VJ", "Z+jets pdf", vars_set, rh_VJ, 0); - pdfs['QCD'] = RooHistPdf("pdf_qcd", "QCD pdf ", vars_set, rh_qcd, 0); - pdfs['SingleTop'] = RooHistPdf("pdf_stop", "single top pdf", vars_set, rh_stop, 0); - pdfs['Signal'] = RooHistPdf("pdf_signal", "single top pdf", vars_set, rh_signal, 0); - return pdfs, leptonAbsEta, variables, vars_set, roodatahists - - -def getFittedNormalisation_RooFit(histograms, normalisation_={}, vectors_={}): - global used_data, normalisation, vectors - normalisation = normalisation_ - vectors = vectors_ - histograms = normaliseHistograms(histograms, normalisation) - histograms['V+Jets'] = histograms['W+Jets'].Clone('VPlusJets') - histograms['V+Jets'].Add(histograms['DYJetsToLL']) - normalisation['V+Jets'] = normalisation['W+Jets'] + normalisation['DYJetsToLL'] - normalisation['Signal'] = normalisation['TTJet'] + normalisation['SingleTop'] - pdfs, leptonAbsEta, variables, vars_set, roodatahists = getPDFs(histograms) - N_total = normalisation[used_data] - N_total = 2 * N_total - N_min = 0 - #variables to be fitted - N_VPlusJets = RooRealVar ("nVJ", "number of Z+jets bgnd events", normalisation['V+Jets'], N_min, N_total, "event"); - N_QCD = RooRealVar("nqcd", "number of QCD bgnd events", normalisation[qcdLabel], N_min, normalisation[qcdLabel] * 2, "event"); - N_Signal = RooRealVar("nSignal", "number of single top + ttbar events", normalisation['Signal'], N_min, N_total, "event"); - - model = RooAddPdf("model", "Signal + V+Jets + QCD", - RooArgList(pdfs['Signal'], pdfs['V+Jets'], pdfs['QCD']), - RooArgList(N_Signal, N_VPlusJets, N_QCD)) - fitResult = model.fitTo(pdfs[used_data], RooFit.Minimizer("Minuit2", "Migrad"), RooFit.NumCPU(2), RooFit.Extended(True), - RooFit.SumW2Error(False), RooFit.Strategy(2), - #verbosity - RooFit.PrintLevel(-1), RooFit.Warnings(DEBUG), RooFit.Verbose(DEBUG)) -# if DEBUG: -# print len(vectors[used_data]), len(vectors['Signal']), len(vectors['W+Jets']), len(vectors['DYJetsToLL']), len(vectors['QCDFromData']) -# print "Total number of data events before the fit: ", N_total - - - N_ttbar = N_Signal.getVal() - normalisation['SingleTop'] - N_ttbar_err = (N_Signal.getVal() - normalisation['SingleTop']) * N_Signal.getError() / N_Signal.getVal() - N_ZPlusJets = N_VPlusJets.getVal() - (N_VPlusJets.getVal() * normalisation['W+Jets'] / normalisation['V+Jets']) - N_ZPlusJets_err = N_VPlusJets.getError() / N_VPlusJets.getVal() * N_ZPlusJets - N_WPlusJets = N_VPlusJets.getVal() - (N_VPlusJets.getVal() * normalisation['DYJetsToLL'] / normalisation['V+Jets']) - N_WPlusJets_err = N_VPlusJets.getError() / N_VPlusJets.getVal() * N_WPlusJets - - N_SingleTop = N_Signal.getVal() - (N_Signal.getVal() * normalisation['TTJet'] / normalisation['Signal']) - N_SingleTop_err = N_Signal.getError() / N_Signal.getVal() * N_SingleTop * sqrt(2) - result = {'Signal': {'value': N_Signal.getVal(), 'error':N_Signal.getError()}, - 'Signal Before Fit': {'value': normalisation['Signal'], 'error':0}, - 'V+Jets': {'value': N_VPlusJets.getVal(), 'error':N_VPlusJets.getError()}, - 'W+Jets': {'value': N_WPlusJets, 'error':N_WPlusJets_err}, - 'DYJetsToLL': {'value': N_ZPlusJets, 'error':N_ZPlusJets_err}, - qcdLabel: {'value': N_QCD.getVal(), 'error':N_QCD.getError()}, -# 'Di-Boson': {'value': fitvalues[4], 'error':fiterrors[4]}, - 'TTJet': {'value': N_ttbar, 'error' : N_ttbar_err}, - used_data: {'value': normalisation[used_data], 'error':0}, - 'SingleTop': {'value': N_SingleTop, 'error':N_SingleTop_err}, - 'SingleTop Before Fit': {'value': normalisation['SingleTop'], 'error':0}, - 'TTJet Before Fit': {'value': normalisation['TTJet'], 'error':0}, - 'QCD Before Fit': {'value': normalisation[qcdLabel], 'error':0}, - 'V+Jets BeforeFit': {'value': normalisation['V+Jets'], 'error':0}, - 'W+Jets BeforeFit': {'value': normalisation['W+Jets'], 'error':0}, - 'DYJetsToLL Before Fit': {'value': normalisation['DYJetsToLL'], 'error':0}, - 'SumMC': {'value': N_Signal.getVal() + N_VPlusJets.getVal() + N_QCD.getVal() , 'error':sqrt(N_Signal.getError() ** 2 + N_VPlusJets.getError() ** 2 + N_QCD.getError() ** 2)}, - 'SumMC Before Fit': {'value': normalisation['V+Jets'] + normalisation[qcdLabel] + normalisation['Signal'], 'error':0}, - 'fit': createFitHistogram_RooFit(histograms, normalisation, N_Signal, N_VPlusJets, N_QCD), - 'vectors':vectors} - if current_source == 'central': - result.update({ - #other generators - 'POWHEG': {'value': normalisation['POWHEG'] * scale_factors['POWHEG'], 'error':0}, -# 'PYTHIA6': {'value': normalisation['PYTHIA6'] * scale_factors['PYTHIA6'], 'error':0}, - 'MCatNLO': {'value': normalisation['MCatNLO'] * scale_factors['MCatNLO'], 'error':0}, - }) - return result - -def createFitHistogram_RooFit(histograms, normalisation, N_Signal, N_VPlusJets, N_QCD): - global fit_index - nBins = histograms[used_data].GetNbinsX() - hists = normaliseHistograms({'Signal':histograms['Signal'], 'V+Jets':histograms['V+Jets'], qcdLabel:histograms[qcdLabel]}, - {'Signal':N_Signal.getVal(), 'V+Jets':N_VPlusJets.getVal(), qcdLabel:N_QCD.getVal()}) - h_signal = hists['Signal'] - h_VPlusJets = hists['V+Jets'] - h_QCD = hists[qcdLabel] - - fit = TH1F('fit_' + str(fit_index), 'fit', nBins, 0, 3) - fit_index += 1 - - for bin_i in range(1, nBins): - nSignal = h_signal.GetBinContent(bin_i) - nVPlusJets = h_VPlusJets.GetBinContent(bin_i) - nQCD = h_QCD.GetBinContent(bin_i) - value = nSignal + nVPlusJets + nQCD - #bin-by-bin error - relErrorSignal = getRelativeError(N_Signal.getVal(), N_Signal.getError()) - relErrorVPlusJets = getRelativeError(N_VPlusJets.getVal(), N_VPlusJets.getError()) - relErrorQCD = getRelativeError(N_QCD.getVal(), N_QCD.getError()) - error = sqrt((relErrorSignal * nSignal) ** 2 + (relErrorVPlusJets * nVPlusJets) ** 2 + (relErrorQCD * nQCD) ** 2) - fit.SetBinContent(bin_i, value) - fit.SetBinError(bin_i, error) - return fit.Clone() - -def measureNormalisationIn(histogram, analysis): - global bjetbin, used_data - used_data = data_label[analysis] - normalisation = getNormalisation(histogram) - if DEBUG: - print current_source, ':', normalisation['W+Jets'] - templates = getTemplates(histogram) - vectors = vectorise(templates) - if analysis == 'EPlusJets': - qcdHistForEstimation = 'TTbar_plus_X_analysis/' + analysis + '/QCD e+jets PFRelIso/Binned_MET_Analysis/patType1CorrectedPFMet_bin_%s/electron_pfIsolation_03_%s' - qcdHistForEstimation = qcdHistForEstimation % (metbin, bjetbin) - qcdResult = QCDRateEstimation.estimateQCDWithRelIso(FILES.files, qcdHistForEstimation) - normalisation[qcdLabel] = qcdResult['estimate'] - else: - normalisation[qcdLabel] = normalisation['QCD_Pt-15to20_MuEnrichedPt5'] * 1.21 -# print 'MuQCD normalisation:', normalisation[qcdLabel] -# normalisation[qcdLabel] = normalisation[qcdLabel]*1.21 - - if DEBUG: - printNormalisation(normalisation) - fitted_result = None - if use_RooFit: - fitted_result = getFittedNormalisation_RooFit(histogram, normalisation, vectors) - else: - fitted_result = getFittedNormalisation(vectors, normalisation) - if DEBUG: - printFittedResult(fitted_result) - return fitted_result - -def measureNormalisationIncludingSystematics(histograms, analysis): - global current_source, used_data - fitted_results = {} - print 'Performing central measurement' - timer = Timer() - current_source = 'central' - histogram = histograms['central'] - use_QCDFromData = 'QCDFromData_Conversions' - if analysis == 'MuPlusJets': - use_QCDFromData = 'QCDFromData_AntiIsolated' - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['central'] = measureNormalisationIn(histogram, analysis) - print '>' * 80, 'completed in %.2fs' % timer.elapsedTime() - timer.restart() - print 'Performing measurement of systematic uncertainties (lumi, electron efficiency, single top cross-section)' - - if analysis == 'EPlusJets': - #electron efficiency += 3% - current_source = 'Electron Efficiency' - scale_factors['luminosity'] = 1. + 0.03 - fitted_results['Electron Efficiency +'] = measureNormalisationIn(histogram, analysis) - scale_factors['luminosity'] = 1. - 0.03 - fitted_results['Electron Efficiency -'] = measureNormalisationIn(histogram, analysis) - else: - #Muon efficiency += 3% TODO: change number - current_source = 'Muon Efficiency' - scale_factors['luminosity'] = 1. + 0.03 - fitted_results['Muon Efficiency +'] = measureNormalisationIn(histogram, analysis) - scale_factors['luminosity'] = 1. - 0.03 - fitted_results['Muon Efficiency -'] = measureNormalisationIn(histogram, analysis) - #luminosity uncertainty +- 2.2% - current_source = 'luminosity' - scale_factors['luminosity'] = 1. + 0.022 - fitted_results['Luminosity +'] = measureNormalisationIn(histogram, analysis) - scale_factors['luminosity'] = 1. - 0.022 - fitted_results['Luminosity -'] = measureNormalisationIn(histogram, analysis) - scale_factors['luminosity'] = 1.#reset - #single top cross-section: +-30% - current_source = 'singleTop' - scale_factors['SingleTop'] = 1. + 0.3 - fitted_results['SingleTop +'] = measureNormalisationIn(histogram, analysis) - scale_factors['SingleTop'] = 1. - 0.3 - fitted_results['SingleTop -'] = measureNormalisationIn(histogram, analysis) - scale_factors['SingleTop'] = 1.#reset - print '>' * 80, 'completed in %.2fs' % timer.elapsedTime() - timer.restart() - print 'Performing measurement of QCD shape uncertainty, JES and PU uncertainties' - if analysis == 'EPlusJets': - #QCD shape - current_source = 'QCD shape' - histogram['QCDFromData'] = histogram['QCDFromData_AntiIsolated'] - fitted_results['QCD shape'] = measureNormalisationIn(histogram, analysis) - timer.restart() - print '>' * 80, 'completed in %.2fs' % timer.elapsedTime() - #jet energy scale - current_source = 'JES' - histogram = histograms['JES+'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['JES+'] = measureNormalisationIn(histogram, analysis) - histogram = histograms['JES-'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['JES-'] = measureNormalisationIn(histogram, analysis) - #inelastic cross-section for pile-up calculation +- 5% - current_source = 'PileUp' - histogram = histograms['PileUp+'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['PileUp+'] = measureNormalisationIn(histogram, analysis) - histogram = histograms['PileUp-'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['PileUp-'] = measureNormalisationIn(histogram, analysis) - print '>' * 60, 'completed in %.2fs' % timer.elapsedTime() - timer.restart() - - print 'Performing measurement of B-tag and light jet uncertainties' - current_source = 'BJets' - histogram = histograms['BJet+'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['BJet+'] = measureNormalisationIn(histogram, analysis) - histogram = histograms['BJet-'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['BJet-'] = measureNormalisationIn(histogram, analysis) - current_source = 'LightJets' - histogram = histograms['LightJet+'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['LightJet+'] = measureNormalisationIn(histogram, analysis) - histogram = histograms['LightJet-'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - fitted_results['LightJet-'] = measureNormalisationIn(histogram, analysis) - print '>' * 60, 'completed in %.2fs' % timer.elapsedTime() - timer.restart() - - print 'Performing measurement of matching and scale systematic uncertainties' - #matching threshold ttbar: 20 GeV -> 10 GeV & 40GeV - current_source = 'TTJet matching' - histogram = histograms['central'] - histogram['QCDFromData'] = histogram[use_QCDFromData] - ttjet_temp = deepcopy(histogram['TTJet']) - histogram['TTJet'] = histogram['TTJets-matchingup'] - scale_factors['TTJet'] = N_Events[analysis]['TTJet'] / N_Events[analysis]['TTJets-matchingup'] - fitted_results['TTJet matching +'] = measureNormalisationIn(histogram, analysis) - histogram['TTJet'] = histogram['TTJets-matchingdown'] - scale_factors['TTJet'] = N_Events[analysis]['TTJet'] / N_Events[analysis]['TTJets-matchingdown'] - fitted_results['TTJet matching -'] = measureNormalisationIn(histogram, analysis) - #Q^2 scale ttbar - current_source = 'TTJet scale' - histogram['TTJet'] = histogram['TTJets-scaleup'] - scale_factors['TTJet'] = N_Events[analysis]['TTJet'] / N_Events[analysis]['TTJets-scaleup'] - fitted_results['TTJet scale +'] = measureNormalisationIn(histogram, analysis) - histogram['TTJet'] = histogram['TTJets-scaledown'] - scale_factors['TTJet'] = N_Events[analysis]['TTJet'] / N_Events[analysis]['TTJets-scaledown'] - fitted_results['TTJet scale -'] = measureNormalisationIn(histogram, analysis) - #reset - scale_factors['TTJet'] = 1 - histogram['TTJet'] = ttjet_temp - #matching threshold W+Jets - current_source = 'V+Jets matching' - zjets_temp = deepcopy(histogram['DYJetsToLL']) - wjets_temp = deepcopy(histogram['W+Jets']) - vjets_temp = deepcopy(histogram['V+Jets']) - - histogram['W+Jets'] = histogram['WJets-matchingup'] - histogram['DYJetsToLL'] = histogram['ZJets-matchingup'] - histogram['V+Jets'] = histogram['W+Jets'] - histogram['V+Jets'].Add(histogram['DYJetsToLL']) - scale_factors['W+Jets'] = N_Events[analysis]['W+Jets'] / N_Events[analysis]['WJets-matchingup'] - scale_factors['DYJetsToLL'] = N_Events[analysis]['DYJetsToLL'] / N_Events[analysis]['ZJets-matchingup'] - fitted_results['V+Jets matching +'] = measureNormalisationIn(histogram, analysis) - - histogram['W+Jets'] = histogram['WJets-matchingdown'] - histogram['DYJetsToLL'] = histogram['ZJets-matchingdown'] - histogram['V+Jets'] = histogram['W+Jets'] - histogram['V+Jets'].Add(histogram['DYJetsToLL']) - scale_factors['W+Jets'] = N_Events[analysis]['W+Jets'] / N_Events[analysis]['WJets-matchingdown'] - scale_factors['DYJetsToLL'] = N_Events[analysis]['DYJetsToLL'] / N_Events[analysis]['ZJets-matchingdown'] - fitted_results['V+Jets matching -'] = measureNormalisationIn(histogram, analysis) - #Q^2 scale W+Jets - current_source = 'V+Jets scale' - histogram['W+Jets'] = histogram['WJets-scaleup'] - histogram['DYJetsToLL'] = histogram['ZJets-scaleup'] - histogram['V+Jets'] = histogram['W+Jets'] - histogram['V+Jets'].Add(histogram['DYJetsToLL']) - scale_factors['W+Jets'] = N_Events[analysis]['W+Jets'] / N_Events[analysis]['WJets-scaleup'] - scale_factors['DYJetsToLL'] = N_Events[analysis]['DYJetsToLL'] / N_Events[analysis]['ZJets-scaleup'] - fitted_results['V+Jets scale +'] = measureNormalisationIn(histogram, analysis) - - histogram['W+Jets'] = histogram['WJets-scaledown'] - histogram['DYJetsToLL'] = histogram['ZJets-scaledown'] - histogram['V+Jets'] = histogram['W+Jets'] - histogram['V+Jets'].Add(histogram['DYJetsToLL']) - scale_factors['W+Jets'] = N_Events[analysis]['W+Jets'] / N_Events[analysis]['WJets-scaledown'] - scale_factors['DYJetsToLL'] = N_Events[analysis]['DYJetsToLL'] / N_Events[analysis]['ZJets-scaledown'] - fitted_results['V+Jets scale -'] = measureNormalisationIn(histogram, analysis) - #reset - scale_factors['W+Jets'] = 1 - scale_factors['DYJetsToLL'] = 1 - histogram['W+Jets'] = wjets_temp - histogram['DYJetsToLL'] = zjets_temp - histogram['V+Jets'] = vjets_temp - print '>' * 60, 'completed in %.2fs' % timer.elapsedTime() - timer.restart() - print 'Performing measurement of MET systematic uncertainties' - for source in metsystematics_sources: - current_source = source - histogram = histograms[source] - histogram['QCDFromData'] = histogram[use_QCDFromData] - if 'JetRes' in source: - histogram['QCDFromData'] = histograms['central'][use_QCDFromData] - histogram[used_data] = histograms['central'][used_data] - fitted_results[source] = measureNormalisationIn(histogram, analysis) - print '>' * 60, 'completed in %.2fs' % timer.elapsedTime() - timer.restart() - - print 'Performing measurement of PDF uncertainties' - histogram_pdf = histograms['PDFWeights'] - histogram = histograms['central'] - histogram['QCDFromData'] = histograms['central'][use_QCDFromData] - ttjet_temp = deepcopy(histogram['TTJet']) - #scale_factors['TTJet'] = 7490162 / 6093274 - for index in range(1, 45): - pdf = 'TTJet_%d' % index - current_source = pdf - histogram['TTJet'] = histogram_pdf[pdf] - fitted_results['PDFWeights_%d' % index] = measureNormalisationIn(histogram, analysis) - #reset - scale_factors['TTJet'] = 1. - histogram['TTJet'] = ttjet_temp - print '>' * 60, 'completed in %.2fs' % timer.elapsedTime() - return fitted_results - histogram = None - - -def combineResults(result_A, result_B): - combination = {} - measurements = result_A.keys() - measurements.extend(result_B.keys()) - measurements = Set(measurements) - for measurement in measurements: - value_A = None - value_B = None - #get the measurement if it exists - #if it doesn't use central result - if result_A.has_key(measurement): - value_A = result_A[measurement] - else: - value_A = result_A['central'] - - if result_B.has_key(measurement): - value_B = result_B[measurement] - else: - value_B = result_B['central'] - result = combineValues(value_A, value_B) - combination[measurement] = result - #entries of each result are showin in - #getFittedNormalisation - return combination - - -def combineValues(value_A, value_B): - global qcdLabel - measurements = value_A.keys() - measurements.extend(value_A.keys()) - measurements = Set(measurements) - - result = {} - for measurement in measurements: - combination_function = combineMeasurements - if measurement == 'fit': - combination_function = combineFits - elif measurement == 'vectors': - combination_function = combineVectors - if measurement in value_A.keys() and measurement in value_B.keys(): - result[measurement] = combination_function(value_A[measurement], value_B[measurement]) - elif measurement in value_A.keys() and not measurement in value_B.keys(): - result[measurement] = value_A[measurement] - else: - result[measurement] = value_B[measurement] - -# result = {'Signal': combineMeasurements(value_A['Signal'], value_B['Signal']), -# 'Signal Before Fit': combineMeasurements(value_A['Signal Before Fit'], value_B['Signal Before Fit']), -# 'V+Jets': combineMeasurements(value_A['V+Jets'], value_B['V+Jets']), -# 'W+Jets': combineMeasurements(value_A['W+Jets'], value_B['W+Jets']), -# 'DYJetsToLL': combineMeasurements(value_A['DYJetsToLL'], value_B['DYJetsToLL']), -# qcdLabel: combineMeasurements(value_A[qcdLabel], value_B[qcdLabel]), -# 'TTJet': combineMeasurements(value_A['TTJet'], value_B['TTJet']), -# #TODO -# 'Combination': combineMeasurements(value_A['Signal'], value_B['Signal']), -# 'SingleTop':combineMeasurements(value_A['SingleTop'], value_B['SingleTop']), -# 'SingleTop Before Fit': combineMeasurements(value_A['SingleTop Before Fit'], value_B['SingleTop Before Fit']), -# 'TTJet Before Fit': combineMeasurements(value_A['TTJet Before Fit'], value_B['TTJet Before Fit']), -# 'QCD Before Fit': combineMeasurements(value_A['QCD Before Fit'], value_B['QCD Before Fit']), -# 'V+Jets BeforeFit': combineMeasurements(value_A['V+Jets BeforeFit'], value_B['V+Jets BeforeFit']), -# 'W+Jets BeforeFit': combineMeasurements(value_A['W+Jets BeforeFit'], value_B['W+Jets BeforeFit']), -# 'DYJetsToLL Before Fit': combineMeasurements(value_A['DYJetsToLL Before Fit'], value_B['DYJetsToLL Before Fit']), -# 'SumMC': combineMeasurements(value_A['SumMC'], value_B['SumMC']), -# 'SumMC Before Fit': combineMeasurements(value_A['SumMC Before Fit'], value_B['SumMC Before Fit']), -# 'fit': combineFits(value_A['fit'], value_B['fit']), -# 'vectors':combineVectors(value_A['vectors'], value_B['vectors'])} - return result - -def combineMeasurements(measurement_A, measurement_B): - value_A = measurement_A['value'] - value_B = measurement_B['value'] - error_A = measurement_A['error'] - error_B = measurement_B['error'] - combined_value = value_A + value_B -# relError_A = 0 -# if not value_A == 0: -# relError_A = error_A/value_A -# relError_B = 0 -# if not value_B == 0: -# relError_B = error_B/value_B -# combined_error = sqrt(relError_A**2 + relError_B**2)*combined_value - combined_error = sqrt(error_A ** 2 + error_B ** 2) - return {'value': combined_value, 'error':combined_error} - -def combineFits(measurement_A, measurement_B): - combined_fit = measurement_A.Clone('combined_fit' + str(fit_index)) - combined_fit.Add(measurement_B) - return combined_fit - -def combineVectors(measurement_A, measurement_B): - combined_vector = {} - for sample in measurement_A.keys(): - sum_entries = 0 - combined_vector[sample] = [] - for entry_A, entry_B in zip(measurement_A[sample], measurement_B[sample]): - sum_entries += entry_A - sum_entries += entry_B - combined_vector[sample].append(entry_A + entry_B) - #normalise to 1 (template) - for entry in combined_vector[sample]: - if not sum_entries == 0: - entry = entry / sum_entries - return combined_vector - -def NormalisationAnalysis(): - global metbins, metsystematics_sources, N_Events, metbin, doBinByBinUnfolding, metType, used_data - analysisTimer = Timer() - - setNEvents(bjetbin, 'EPlusJets') - setNTtbar(bjetbin, 'EPlusJets') - setNEvents(bjetbin, 'MuPlusJets') - setNTtbar(bjetbin, 'MuPlusJets') - - result_electrons = {} - result_muons = {} - result_combined = {} - result_simultaniousFit = {} - for metbin in metbins: - metbinTimer = Timer() - #loadfiles - histogramCollection = getHistograms(bjetbin, metbin, 'EPlusJets') - histogramCollection_muons = getHistograms(bjetbin, metbin, 'MuPlusJets') - - #sum samples - histogramCollection['central'] = sumSamples(histogramCollection['central']) - histogramCollection['JES-'] = sumSamples(histogramCollection['JES-']) - histogramCollection['JES+'] = sumSamples(histogramCollection['JES+']) - histogramCollection['PileUp-'] = sumSamples(histogramCollection['PileUp-']) - histogramCollection['PileUp+'] = sumSamples(histogramCollection['PileUp+']) - histogramCollection['BJet-'] = sumSamples(histogramCollection['BJet-']) - histogramCollection['BJet+'] = sumSamples(histogramCollection['BJet+']) - histogramCollection['LightJet-'] = sumSamples(histogramCollection['LightJet-']) - histogramCollection['LightJet+'] = sumSamples(histogramCollection['LightJet+']) - histogramCollection_muons['central'] = sumSamples(histogramCollection_muons['central']) - histogramCollection_muons['JES-'] = sumSamples(histogramCollection_muons['JES-']) - histogramCollection_muons['JES+'] = sumSamples(histogramCollection_muons['JES+']) - histogramCollection_muons['PileUp-'] = sumSamples(histogramCollection_muons['PileUp-']) - histogramCollection_muons['PileUp+'] = sumSamples(histogramCollection_muons['PileUp+']) - histogramCollection_muons['BJet-'] = sumSamples(histogramCollection_muons['BJet-']) - histogramCollection_muons['BJet+'] = sumSamples(histogramCollection_muons['BJet+']) - histogramCollection_muons['LightJet-'] = sumSamples(histogramCollection_muons['LightJet-']) - histogramCollection_muons['LightJet+'] = sumSamples(histogramCollection_muons['LightJet+']) - for source in metsystematics_sources: - histogramCollection[source] = sumSamples(histogramCollection[source]) - histogramCollection_muons[source] = sumSamples(histogramCollection_muons[source]) - print 'Getting fitted normalisation for metbin=', metbin, 'electron channel' - result_electrons[metbin] = measureNormalisationIncludingSystematics(histogramCollection, 'EPlusJets') - print 'Getting fitted normalisation for metbin=', metbin, 'muon channel' - result_muons[metbin] = measureNormalisationIncludingSystematics(histogramCollection_muons, 'MuPlusJets') - - if doBinByBinUnfolding: - print 'Performing unfolding' - result_electrons[metbin] = performUnfolding(result_electrons[metbin], metbin, 'EPlusJets') - result_muons[metbin] = performUnfolding(result_muons[metbin], metbin, 'MuPlusJets') - #combineResults the numbers - result_combined[metbin] = combineResults(result_electrons[metbin], result_muons[metbin]) - print 'Result for metbin=', metbin, 'completed in %.2fs' % metbinTimer.elapsedTime() - print 'Analysis in bjetbin=', bjetbin, 'finished in %.2fs' % analysisTimer.elapsedTime() - return result_electrons, result_muons, result_combined, result_simultaniousFit - -def performUnfolding(results, metbin, analysis): - global correctionFactors, acceptanceFactors, contaminationFactors - #corrections for bin migration - correctionFactor_POWHEG = correctionFactors[analysis]['POWHEG'][metType][metbin] -# correctionFactor_PYTHIA = correctionFactors[analysis]['PYTHIA6'][metType][metbin] - correctionFactor_MCATNLO = correctionFactors[analysis]['MCatNLO'][metType][metbin] - acceptanceFactor_POWHEG = acceptanceFactors[analysis]['POWHEG'][metbin] -# acceptanceFactor_PYTHIA = acceptanceFactors[analysis]['PYTHIA6'][metbin] - acceptanceFactor_MCATNLO = acceptanceFactors[analysis]['MCatNLO'][metbin] - contaminationFactor_POWHEG = contaminationFactors[analysis]['POWHEG'][metbin] -# contaminationFactor_PYTHIA = contaminationFactors[analysis]['PYTHIA6'][metbin] - contaminationFactor_MCATNLO = contaminationFactors[analysis]['MCatNLO'][metbin] - corrections_POWHEG = correctionFactor_POWHEG * acceptanceFactor_POWHEG * contaminationFactor_POWHEG -# corrections_PYTHIA = correctionFactor_PYTHIA * acceptanceFactor_PYTHIA * contaminationFactor_PYTHIA - corrections_MCATNLO = correctionFactor_MCATNLO * acceptanceFactor_MCATNLO * contaminationFactor_MCATNLO - for measurement in results.keys(): - correctionFactor_MADGRAPH = correctionFactors[analysis]['TTJet'][metType][metbin] - acceptanceFactor_MADGRAPH = acceptanceFactors[analysis]['TTJet'][metbin] - contaminationFactor_MADGRAPH = contaminationFactors[analysis]['TTJet'][metbin] - if measurement in metsystematics_sources: - correctionFactor_MADGRAPH = correctionFactors[analysis]['TTJet'][measurement][metbin] - if 'TTJets-' in measurement: - correctionFactor_MADGRAPH = correctionFactors[analysis][measurement][metType][metbin] - acceptanceFactor_MADGRAPH = acceptanceFactors[analysis][measurement][metbin] - contaminationFactor_MADGRAPH = contaminationFactors[analysis][measurement][metbin] - corrections_MADGRAPH = correctionFactor_MADGRAPH * acceptanceFactor_MADGRAPH * contaminationFactor_MADGRAPH - results[measurement]['TTJet corrected'] = deepcopy(results[measurement]['TTJet']) - results[measurement]['TTJet Before Fit corrected'] = deepcopy(results[measurement]['TTJet Before Fit']) - results[measurement]['TTJet corrected']['value'] = results[measurement]['TTJet']['value'] * corrections_MADGRAPH - results[measurement]['TTJet corrected']['error'] = results[measurement]['TTJet']['error'] * corrections_MADGRAPH - results[measurement]['TTJet Before Fit corrected']['value'] = results[measurement]['TTJet Before Fit']['value'] * corrections_MADGRAPH - if measurement == 'central': - results[measurement]['POWHEG corrected'] = deepcopy(results[measurement]['POWHEG']) -# results[measurement]['PYTHIA6 corrected'] = deepcopy(results[measurement]['PYTHIA6']) - results[measurement]['MCatNLO corrected'] = deepcopy(results[measurement]['MCatNLO']) - results[measurement]['POWHEG corrected']['value'] = results[measurement]['POWHEG']['value'] * corrections_POWHEG -# results[measurement]['PYTHIA6 corrected']['value'] = results[measurement]['PYTHIA6']['value'] * corrections_PYTHIA - results[measurement]['MCatNLO corrected']['value'] = results[measurement]['MCatNLO']['value'] * corrections_MCATNLO - return results - -def CrossSectionAnalysis(input_results, analysis): - global N_ttbar_by_source - result = {} - theoryXsection = 157.5 - suffix = '' - if doBinByBinUnfolding: - suffix = ' corrected' - for metbin in metbins: - result[metbin] = {} -# width = metbin_widths[metbin] - for measurement in input_results[metbin].keys(): - result_ttbar = input_results[metbin][measurement]['TTJet' + suffix] - madgraph_ttbar = input_results[metbin][measurement]['TTJet Before Fit' + suffix]['value'] - value, error = result_ttbar['value'], result_ttbar['error'] - if not analysis == 'Combination': - n_ttbar = N_ttbar_by_source[analysis][measurement] - else: - n_ttbar = N_ttbar_by_source['EPlusJets'][measurement] + N_ttbar_by_source['MuPlusJets'][measurement] - scale = theoryXsection / n_ttbar - result[metbin][measurement] = {'value': value * scale, - 'error':error * scale, - #replace these with GenMET - 'MADGRAPH':madgraph_ttbar * scale} - if measurement == 'central': - result[metbin][measurement].update( - {'POWHEG':input_results[metbin][measurement]['POWHEG' + suffix]['value'] * scale, -# 'PYTHIA6':input_results[metbin][measurement]['PYTHIA6' + suffix]['value'] * scale, - 'MCatNLO':input_results[metbin][measurement]['POWHEG' + suffix]['value'] * scale}) - return result - - -def NormalisedCrossSectionAnalysis(input_results): - global doBinByBinUnfolding - result = {} - sums = {'central':{}, 'MADGRAPH':{}, 'POWHEG':{}, 'MCatNLO':{} } #'PYTHIA6':{}, 'MCatNLO':{} } - if doBinByBinUnfolding: - suffix = ' corrected' - else: - suffix = '' - for metbin in metbins: - result[metbin] = {} - for measurement in input_results[metbin].keys(): - if not sums['central'].has_key(measurement): - sums['central'][measurement] = input_results[metbin][measurement]['TTJet' + suffix]['value'] - sums['MADGRAPH'][measurement] = input_results[metbin][measurement]['TTJet Before Fit' + suffix]['value'] - if measurement == 'central': - sums['POWHEG'][measurement] = input_results[metbin][measurement]['POWHEG' + suffix]['value'] -# sums['PYTHIA6'][measurement] = input_results[metbin][measurement]['PYTHIA6' + suffix]['value'] - sums['MCatNLO'][measurement] = input_results[metbin][measurement]['MCatNLO' + suffix]['value'] - else: - sums['central'][measurement] += input_results[metbin][measurement]['TTJet' + suffix]['value'] - sums['MADGRAPH'][measurement] += input_results[metbin][measurement]['TTJet Before Fit' + suffix]['value'] - if measurement == 'central': - sums['POWHEG'][measurement] += input_results[metbin][measurement]['POWHEG' + suffix]['value'] - # sums['PYTHIA6'][measurement] += input_results[metbin][measurement]['PYTHIA6' + suffix]['value'] - sums['MCatNLO'][measurement] += input_results[metbin][measurement]['MCatNLO' + suffix]['value'] - - for metbin in metbins: - result[metbin] = {} - width = metbin_widths[metbin] - scale = 1 / width - for measurement in input_results[metbin].keys(): - result_ttbar = input_results[metbin][measurement]['TTJet' + suffix] - madgraph_ttbar = input_results[metbin][measurement]['TTJet Before Fit' + suffix]['value'] * scale - value, error = result_ttbar['value'] * scale, result_ttbar['error'] * scale - - result[metbin][measurement] = {'value': value / sums['central'][measurement], - 'error':error / sums['central'][measurement], - 'MADGRAPH':madgraph_ttbar / sums['MADGRAPH'][measurement]} - if measurement == 'central': - result[metbin][measurement].update( - {'POWHEG':input_results[metbin][measurement]['POWHEG' + suffix]['value'] / sums['POWHEG'][measurement] * scale, -# 'PYTHIA6':input_results[metbin][measurement]['PYTHIA6' + suffix]['value'] / sums['PYTHIA6'][measurement] * scale, - 'MCatNLO':input_results[metbin][measurement]['MCatNLO' + suffix]['value'] / sums['MCatNLO'][measurement] * scale}) - return result - -def getHistograms(bjetbin, metbin, analysis): - print 'Getting histograms for bjetbin =', bjetbin, 'metbin=', metbin, 'and analysis=', analysis - global metsystematics_sources, rebin, metType - base = 'TTbar_plus_X_analysis/' + analysis + '/' - - distribution = base + 'Ref selection/Binned_MET_Analysis/%s_bin_%s/electron_absolute_eta_%s' % (metType, metbin, bjetbin) - qcdDistribution = base + 'QCDConversions/Binned_MET_Analysis/%s_bin_%s/electron_absolute_eta_0btag' % (metType, metbin) - qcdDistribution2 = base + 'QCD non iso e+jets/Binned_MET_Analysis/%s_bin_%s/electron_absolute_eta_0btag' % (metType, metbin) - if analysis == "MuPlusJets": - distribution = base + 'Ref selection/Binned_MET_Analysis/%s_bin_%s/muon_absolute_eta_%s' % (metType, metbin, bjetbin) - qcdDistribution = base + 'QCD non iso mu+jets/Binned_MET_Analysis/%s_bin_%s/muon_absolute_eta_0btag' % (metType, metbin) - qcdDistribution2 = base + 'QCD non iso mu+jets/Binned_MET_Analysis/%s_bin_%s/muon_absolute_eta_0btag' % (metType, metbin) - - used_data = data_label[analysis] - histogramCollection = {} - histogramCollection['central'] = FileReader.getHistogramDictionary(distribution, FILES.files) - histogramCollection['central']['QCDFromData_Conversions'] = FileReader.getHistogramFromFile(qcdDistribution, FILES.files[used_data]) - histogramCollection['central']['QCDFromData_AntiIsolated'] = FileReader.getHistogramFromFile(qcdDistribution2, FILES.files[used_data]) - histogramCollection['JES-'] = FileReader.getHistogramDictionary(distribution, FILES.files_JES_down) - histogramCollection['JES-']['QCDFromData_Conversions'] = FileReader.getHistogramFromFile(qcdDistribution, FILES.files_JES_down[used_data]) - histogramCollection['JES-']['QCDFromData_AntiIsolated'] = FileReader.getHistogramFromFile(qcdDistribution2, FILES.files_JES_down[used_data]) - histogramCollection['JES+'] = FileReader.getHistogramDictionary(distribution, FILES.files_JES_up) - histogramCollection['JES+']['QCDFromData_Conversions'] = FileReader.getHistogramFromFile(qcdDistribution, FILES.files_JES_up[used_data]) - histogramCollection['JES+']['QCDFromData_AntiIsolated'] = FileReader.getHistogramFromFile(qcdDistribution2, FILES.files_JES_up[used_data]) - histogramCollection['PileUp-'] = FileReader.getHistogramDictionary(distribution, FILES.files_PU_down) - histogramCollection['PileUp-']['QCDFromData_Conversions'] = deepcopy(histogramCollection['central']['QCDFromData_Conversions']) - histogramCollection['PileUp-']['QCDFromData_AntiIsolated'] = deepcopy(histogramCollection['central']['QCDFromData_AntiIsolated']) - histogramCollection['PileUp+'] = FileReader.getHistogramDictionary(distribution, FILES.files_PU_up) - histogramCollection['PileUp+']['QCDFromData_Conversions'] = deepcopy(histogramCollection['central']['QCDFromData_Conversions']) - histogramCollection['PileUp+']['QCDFromData_AntiIsolated'] = deepcopy(histogramCollection['central']['QCDFromData_AntiIsolated']) - histogramCollection['PDFWeights'] = FileReader.getHistogramDictionary(distribution, FILES.files_PDF_weights) - histogramCollection['BJet-'] = FileReader.getHistogramDictionary(distribution, FILES.files_BJet_down) - histogramCollection['BJet-']['QCDFromData_Conversions'] = deepcopy(histogramCollection['central']['QCDFromData_Conversions']) - histogramCollection['BJet-']['QCDFromData_AntiIsolated'] = deepcopy(histogramCollection['central']['QCDFromData_AntiIsolated']) - histogramCollection['BJet+'] = FileReader.getHistogramDictionary(distribution, FILES.files_BJet_up) - histogramCollection['BJet+']['QCDFromData_Conversions'] = deepcopy(histogramCollection['central']['QCDFromData_Conversions']) - histogramCollection['BJet+']['QCDFromData_AntiIsolated'] = deepcopy(histogramCollection['central']['QCDFromData_AntiIsolated']) - histogramCollection['LightJet-'] = FileReader.getHistogramDictionary(distribution, FILES.files_LightJet_down) - histogramCollection['LightJet-']['QCDFromData_Conversions'] = deepcopy(histogramCollection['central']['QCDFromData_Conversions']) - histogramCollection['LightJet-']['QCDFromData_AntiIsolated'] = deepcopy(histogramCollection['central']['QCDFromData_AntiIsolated']) - histogramCollection['LightJet+'] = FileReader.getHistogramDictionary(distribution, FILES.files_LightJet_up) - histogramCollection['LightJet+']['QCDFromData_Conversions'] = deepcopy(histogramCollection['central']['QCDFromData_Conversions']) - histogramCollection['LightJet+']['QCDFromData_AntiIsolated'] = deepcopy(histogramCollection['central']['QCDFromData_AntiIsolated']) - - for source in metsystematics_sources: - distribution = base + 'Ref selection/Binned_MET_Analysis/%s_bin_%s/electron_absolute_eta_%s' % (source, metbin, bjetbin) - qcdDistribution = base + 'QCDConversions/Binned_MET_Analysis/%s_bin_%s/electron_absolute_eta_0btag' % (source, metbin) - if analysis == "MuPlusJets": - distribution = base + 'Ref selection/Binned_MET_Analysis/%s_bin_%s/muon_absolute_eta_%s' % (source, metbin, bjetbin) - qcdDistribution = base + 'QCD non iso mu+jets/Binned_MET_Analysis/%s_bin_%s/muon_absolute_eta_0btag' % (source, metbin) - qcdDistribution2 = base + 'QCD non iso mu+jets/Binned_MET_Analysis/%s_bin_%s/muon_absolute_eta_0btag' % (source, metbin) - if not 'JER' in source: - histogramCollection[source] = FileReader.getHistogramDictionary(distribution, FILES.files) - histogramCollection[source]['QCDFromData_Conversions'] = FileReader.getHistogramFromFile(qcdDistribution, FILES.files[used_data]) - histogramCollection[source]['QCDFromData_AntiIsolated'] = FileReader.getHistogramFromFile(qcdDistribution2, FILES.files[used_data]) - else: - mcFiles = deepcopy(FILES.files) - mcFiles.pop('SingleElectron')#removes data - mcFiles.pop('SingleMu')#removes data - histogramCollection[source] = FileReader.getHistogramDictionary(distribution, FILES.files) - histogramCollection[source]['QCDFromData_Conversions'] = deepcopy(histogramCollection['central']['QCDFromData_Conversions']) - histogramCollection[source]['QCDFromData_AntiIsolated'] = deepcopy(histogramCollection['central']['QCDFromData_AntiIsolated']) - - muonQCD_corrections = FileReader.getHistogramFromFile('etaAbs_ge2j_tight', 'data/etaAbs_ge2j_tight.root') - #initial binning 0.05, target: 0.2 - muonQCD_corrections.Rebin(4) - muQCD = FileReader.getHistogramFromFile('etaAbs_ge2j_data', 'data/QCD_data_mu.root') - for source in histogramCollection.keys(): - hists = histogramCollection[source] - hists = plotting.rebin(hists, rebin)#rebin to 200 bins - hists = plotting.setYTitle(hists, title="Events/%.2f" % (0.02 * rebin)) - - if analysis == "MuPlusJets" and not source in ['PDFWeights']: - hists['QCDFromData_Conversions'] = muQCD.Clone() - hists['QCDFromData_AntiIsolated'] = muQCD.Clone() - #correction for muon QCD -# if analysis == "MuPlusJets" and not source in ['PDFWeights']: -# -# muQCD = hists['QCDFromData_AntiIsolated']#both plots are identical -# nbins = muQCD.GetNbinsX() -# -# for bin_i in range(1, nbins + 1): -# correction = muonQCD_corrections.GetBinContent(bin_i) -# value = muQCD.GetBinContent(bin_i) -# muQCD.SetBinContent(bin_i, value * correction) -# -# hists['QCDFromData_Conversions'] = muQCD -# hists['QCDFromData_AntiIsolated'] = muQCD - - #sum samples - histogramCollection['central'] = sumSamples(histogramCollection['central']) - histogramCollection['JES-'] = sumSamples(histogramCollection['JES-']) - histogramCollection['JES+'] = sumSamples(histogramCollection['JES+']) - histogramCollection['PileUp-'] = sumSamples(histogramCollection['PileUp-']) - histogramCollection['PileUp+'] = sumSamples(histogramCollection['PileUp+']) - histogramCollection['BJet-'] = sumSamples(histogramCollection['BJet-']) - histogramCollection['BJet+'] = sumSamples(histogramCollection['BJet+']) - histogramCollection['LightJet-'] = sumSamples(histogramCollection['LightJet-']) - histogramCollection['LightJet+'] = sumSamples(histogramCollection['LightJet+']) - for source in metsystematics_sources: - histogramCollection[source] = sumSamples(histogramCollection[source]) - return histogramCollection - -def setNEvents(bjetbin, analysis): - global N_Events, metType - - histname = 'TTbar_plus_X_analysis/' + analysis + '/Ref selection/Electron/electron_AbsEta_' + bjetbin - if analysis == 'MuPlusJets': - histname = 'TTbar_plus_X_analysis/' + analysis + '/Ref selection/Muon/muon_AbsEta_' + bjetbin - -# unbinnedHist = FileReader.getHistogramDictionary('TTbar_plus_X_analysis/'+ analysis + '/Ref selection/MET/' + met + '/MET_' + bjetbin, -# FILES.files) - unbinnedHist = FileReader.getHistogramDictionary(histname, FILES.files) - unbinnedHist['W+Jets'] = plotting.sumSamples(unbinnedHist, wplusjets_samples) - unbinnedHist['DYJetsToLL'] = plotting.sumSamples(unbinnedHist, zplusjets_samples) - unbinnedHist['V+Jets'] = plotting.sumSamples(unbinnedHist, vplusjets_samples) - N_Events[analysis] = {} - - N_Events[analysis]['TTJet'] = unbinnedHist['TTJet'].Integral() - N_Events[analysis]['W+Jets'] = unbinnedHist['W+Jets'].Integral() - N_Events[analysis]['DYJetsToLL'] = unbinnedHist['DYJetsToLL'].Integral() - #remove V+Jets - N_Events[analysis]['V+Jets'] = unbinnedHist['V+Jets'].Integral() - - N_Events[analysis]['TTJets-matchingup'] = unbinnedHist['TTJets-matchingup'].Integral() - N_Events[analysis]['TTJets-matchingdown'] = unbinnedHist['TTJets-matchingdown'].Integral() - N_Events[analysis]['TTJets-scaleup'] = unbinnedHist['TTJets-scaleup'].Integral() - N_Events[analysis]['TTJets-scaledown'] = unbinnedHist['TTJets-scaledown'].Integral() - - N_Events[analysis]['WJets-matchingup'] = unbinnedHist['WJets-matchingup'].Integral() - N_Events[analysis]['WJets-matchingdown'] = unbinnedHist['WJets-matchingdown'].Integral() - N_Events[analysis]['WJets-scaleup'] = unbinnedHist['WJets-scaleup'].Integral() - N_Events[analysis]['WJets-scaledown'] = unbinnedHist['WJets-scaledown'].Integral() - - N_Events[analysis]['ZJets-matchingup'] = unbinnedHist['ZJets-matchingup'].Integral() - N_Events[analysis]['ZJets-matchingdown'] = unbinnedHist['ZJets-matchingdown'].Integral() - N_Events[analysis]['ZJets-scaleup'] = unbinnedHist['ZJets-scaleup'].Integral() - N_Events[analysis]['ZJets-scaledown'] = unbinnedHist['ZJets-scaledown'].Integral() - -def setNTtbar(bjetbin, analysis): - global N_ttbar_by_source, metType - N_ttbar_by_source[analysis] = {} - histname = 'TTbar_plus_X_analysis/' + analysis + '/Ref selection/Electron/electron_AbsEta_' + bjetbin - if analysis == 'MuPlusJets': - histname = 'TTbar_plus_X_analysis/' + analysis + '/Ref selection/Muon/muon_AbsEta_' + bjetbin - - getHist = FileReader.getHistogramFromFile - central = getHist(histname, FILES.files['TTJet']).Integral() - sameAsCentral = ['central', 'SingleTop +', 'SingleTop -', 'QCD shape', 'TTJet matching +', 'TTJet matching -', - 'TTJet scale +', 'TTJet scale -', 'W+Jets matching +', 'W+Jets matching -', 'W+Jets scale +', - 'W+Jets scale -', 'Z+Jets matching +', 'Z+Jets matching -', 'Z+Jets scale +', 'Z+Jets scale -', - 'V+Jets matching +', 'V+Jets matching -', 'V+Jets scale +', 'V+Jets scale -'] - for source in sameAsCentral: - N_ttbar_by_source[analysis][source] = central - - N_ttbar_by_source[analysis]['Electron Efficiency +'] = central * (1. + 0.03) - N_ttbar_by_source[analysis]['Electron Efficiency -'] = central * (1. - 0.03) - N_ttbar_by_source[analysis]['Muon Efficiency +'] = central * (1. + 0.03) - N_ttbar_by_source[analysis]['Muon Efficiency -'] = central * (1. - 0.03) - N_ttbar_by_source[analysis]['Luminosity +'] = central * (1. + 0.022) - N_ttbar_by_source[analysis]['Luminosity -'] = central * (1. - 0.022) - N_ttbar_by_source[analysis]['JES-'] = getHist(histname, FILES.files_JES_down['TTJet']).Integral() - N_ttbar_by_source[analysis]['JES+'] = getHist(histname, FILES.files_JES_up['TTJet']).Integral() - N_ttbar_by_source[analysis]['PileUp-'] = getHist(histname, FILES.files_PU_down['TTJet']).Integral() - N_ttbar_by_source[analysis]['PileUp+'] = getHist(histname, FILES.files_PU_up['TTJet']).Integral() - N_ttbar_by_source[analysis]['BJet-'] = getHist(histname, FILES.files_BJet_down['TTJet']).Integral() - N_ttbar_by_source[analysis]['BJet+'] = getHist(histname, FILES.files_BJet_up['TTJet']).Integral() - N_ttbar_by_source[analysis]['LightJet-'] = getHist(histname, FILES.files_LightJet_down['TTJet']).Integral() - N_ttbar_by_source[analysis]['LightJet+'] = getHist(histname, FILES.files_LightJet_up['TTJet']).Integral() - - - for index in range(1, 45): - filename = 'TTJet_%d' % index - pdf = 'PDFWeights_%d' % index - N_ttbar_by_source[analysis][pdf] = getHist(histname, FILES.files_PDF_weights[filename]).Integral() - - - for source in metsystematics_sources: -# histname = 'TTbar_plus_X_analysis/'+ analysis + '/Ref selection/MET/%s/MET_%s' % (source, bjetbin) - N_ttbar_by_source[analysis][source] = central#getHist(histname, FILES.files['TTJet']).Integral() - -def prepareHistogramCollections(histogramCollection): - global metsystematics_sources - -def printNormalisation(normalisation_): - global qcdLabel, metbin, current_source - sumMC = normalisation_['SumMC'] - normalisation_['QCD'] + normalisation_[qcdLabel] - print '*' * 120 - print 'MET bin: ', metbin - print 'source:', current_source - print "Input parameters:" - print 'signal (ttbar+single top):', normalisation_['TTJet'] + normalisation_['SingleTop'] - print 'W+Jets:', normalisation_['W+Jets'] - print 'Z+Jets:', normalisation_['DYJetsToLL'] - print qcdLabel, ':', normalisation_[qcdLabel] - print 'SingleTop :', normalisation_['SingleTop'] - print 'TTJet :', normalisation_['TTJet'] -# print 'Di-Boson:', normalisation_['Di-Boson'] - print 'SumMC:', sumMC - print 'Total data', normalisation_[used_data] - if not normalisation_[used_data] == 0: - print '(N_{data} - N_{SumMC})/N_{data}', (normalisation_[used_data] - sumMC) / normalisation_[used_data] - print '*' * 120 - -def printFittedResult(fitted_result): - global current_source - sumMC = sum([fitted_result['Signal']['value'], - fitted_result['W+Jets']['value'], - fitted_result['DYJetsToLL']['value'], - fitted_result[qcdLabel]['value'], -# fitted_result['Di-Boson'] - ] - ) - print '*' * 120 - print 'MET bin: ', metbin - print 'source:', current_source - print "Fit values:" - print 'signal (ttbar+single top):', fitted_result['Signal']['value'], '+-', fitted_result['Signal']['error'] - print 'W+Jets:', fitted_result['W+Jets']['value'], '+-', fitted_result['W+Jets']['error'] - print 'Z+Jets:', fitted_result['DYJetsToLL']['value'], '+-', fitted_result['DYJetsToLL']['error'] - print 'QCD:', fitted_result[qcdLabel]['value'], '+-', fitted_result[qcdLabel]['error'] - print 'SingleTop (no fit):', fitted_result['SingleTop']['value'], '+-', fitted_result['SingleTop']['error'] - print 'TTJet (signal fit - SingleTop):', fitted_result['TTJet']['value'], '+-', fitted_result['TTJet']['error'] -# print 'Di-Boson:', fitted_result['Di-Boson']['value'], '+-', fitted_result['Di-Boson']['error'] - print 'SumMC:', sumMC - N_data = fitted_result[used_data]['value'] - print 'Total data:', N_data - print '(N_{data} - N_{SumMC})/N_{data}:', (N_data - sumMC) / N_data - print '*' * 120 - -def getNormalisation(histograms): - global scale_factors - normalisation_ = {} - for sample in histograms.keys(): -# if sample == 'W+Jets': -# print histograms[sample].Integral(), histograms[sample].GetName() - normalisation_[sample] = histograms[sample].Integral() - if not sample in ['SingleElectron', 'SingleMu', 'QCDFromData']: - normalisation_[sample] = normalisation_[sample] * scale_factors['luminosity'] - if sample in scale_factors.keys(): - normalisation_[sample] = normalisation_[sample] * scale_factors[sample] - return normalisation_ - -def getTemplates(histograms): - templates = {} - for sample in histograms.keys(): - hist = deepcopy(histograms[sample].Clone()) -# hist.Sumw2() - templates[sample] = plotting.normalise(hist) - return templates - -def vectorise(histograms): - values = {} -# errors = {} - for sample in histograms.keys(): - hist = histograms[sample] - nBins = hist.GetNbinsX() - for bin_i in range(1, nBins + 1): - if not values.has_key(sample): - values[sample] = [] - values[sample].append(hist.GetBinContent(bin_i)) - return values - -def printNormalisationResult(result, analysis, toFile=True): - global metbins - printout = '\n' - printout += '=' * 60 - printout = '\n' - printout += 'Results for %s region\n' % bjetbin - printout += '=' * 60 - printout += '\n' - rows = {} - header = 'Sample' - for metbin in metbins: - header += '& N_{events}^(fit) \met bin %s~\GeV' % metbin - for source in result[metbin].keys(): - results = result[metbin][source] - if not rows.has_key(source): - rows[source] = {} - - for sample in results.keys(): - if sample == 'fit' or sample == 'vectors': - continue - fitresult = results[sample] - if DEBUG: - print fitresult - row = rows[source] - text = ' $%(value)f \pm %(error)f$' % fitresult + '(%.2f' % (getRelativeError(fitresult['value'], fitresult['error']) * 100) + '\%)' - if row.has_key(sample): - row[sample].append(text) - else: - row[sample] = [sample, text] - header += '\\\\ \n' - printout += 'Central measurement \n\n' - printout += header - printout += '\hline\n' - for sample in sorted(rows['central'].keys()): - results = rows['central'][sample] - for result in results: - printout += result + '&' - printout = printout.rstrip('&') - printout += '\\\\ \n' - printout += '\hline\n\n' - if DEBUG: - print printout - - for source in sorted(rows.keys()): - if source == 'central': - continue - printout += source + ' measurement \n\n' - printout += header - printout += '\hline \n' - for sample in sorted(rows[source].keys()): - results = rows[source][sample] - for result in results: - printout += result + '&' - printout = printout.rstrip('&') - printout += '\\\\ \n' - printout += '\hline \n\n' - if toFile: - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - - fileutils.writeStringToFile(printout, savePath + analysis + '_normalisation_result' + unfolding + '_' + bjetbin + '.tex') -# output_file = open(savePath + analysis + '_normalisation_result' + unfolding + '_' + bjetbin + '.tex', 'w') -# output_file.write(printout) -# output_file.close() - else: - print printout - -def getRelativeError(value, error): - relativeError = 0 - if not value == 0: - relativeError = error / value - return relativeError - -def sumSamples(hists): - hists['QCD'] = plotting.sumSamples(hists, qcd_samples) - hists['SingleTop'] = plotting.sumSamples(hists, singleTop_samples) -# hists['Di-Boson'] = plotting.sumSamples(hists, diboson_samples) - hists['W+Jets'] = plotting.sumSamples(hists, wplusjets_samples) - hists['DYJetsToLL'] = plotting.sumSamples(hists, zplusjets_samples) - #TODO: DO NOT SUM W/Z- bosons and signal here as it will be impossible to vary them for the fit!! - hists['V+Jets'] = plotting.sumSamples(hists, vplusjets_samples) - hists['SumMC'] = plotting.sumSamples(hists, allMC_samples) - hists['Signal'] = plotting.sumSamples(hists, signal_samples) - return hists - -#change to calculate uncertainties -def calculateTotalUncertainty(results, ommitTTJetsSystematics=False): - pdf_min, pdf_max = calculatePDFErrors(results) - pdf_min, pdf_max = 0, 0 - centralResult = results['central'] - if centralResult.has_key('TTJet'): - centralResult = results['central']['TTJet'] - centralvalue, centralerror = centralResult['value'], centralResult['error'] - totalMinus, totalPlus = pdf_min ** 2 , pdf_max ** 2 - totalMinus_err, totalPlus_err = 0, 0 - totalMETMinus, totalMETPlus = 0, 0 - totalMETMinus_err, totalMETPlus_err = 0, 0 - uncertainty = {} - for source in results.keys(): - if source == 'central' or 'PDFWeights_' in source: - continue - if ommitTTJetsSystematics and source in ['TTJet scale -', 'TTJet scale +', 'TTJet matching -', 'TTJet matching +']: - continue - result = results[source] - if result.has_key('TTJet'): - result = results['central']['TTJet'] - value, error = result['value'], result['error'] - diff = abs(value) - abs(centralvalue) - diff_error = sqrt((centralerror / centralvalue) ** 2 + (error / value) ** 2) * abs(diff) - uncertainty[source] = {'value':diff, 'error':diff_error} - if diff > 0: - totalPlus += diff ** 2 - totalPlus_err += diff_error ** 2 - else: - totalMinus += diff ** 2 - totalMinus_err += diff_error ** 2 - - if source in metsystematics_sources: - if diff > 0: - totalMETPlus += diff ** 2 - totalMETPlus_err += diff_error ** 2 - else: - totalMETMinus += diff ** 2 - totalMETMinus_err += diff_error ** 2 - - total = sqrt(totalPlus + totalMinus) - total_error = sqrt(totalPlus_err + totalMinus_err) - totalPlus, totalMinus, totalPlus_err, totalMinus_err = (sqrt(totalPlus), sqrt(totalMinus), - sqrt(totalPlus_err), sqrt(totalMinus_err)) - - totalMETPlus, totalMETMinus, totalMETPlus_err, totalMETMinus_err = (sqrt(totalMETPlus), sqrt(totalMETMinus), - sqrt(totalMETPlus_err), sqrt(totalMETMinus_err)) - uncertainty['Total+'] = {'value':totalPlus, 'error':totalPlus_err} - uncertainty['Total-'] = {'value':totalMinus, 'error':totalMinus_err} - uncertainty['Total'] = {'value':total, 'error':total_error} - uncertainty['TotalMETUnc+'] = {'value':totalMETPlus, 'error':totalMETPlus_err} - uncertainty['TotalMETUnc-'] = {'value':totalMETMinus, 'error':totalMETMinus_err} - uncertainty['PDFWeights+'] = {'value':pdf_max, 'error':0} - uncertainty['PDFWeights-'] = {'value':pdf_min, 'error':0} - - return uncertainty - #uncertainty = {total, totalMinu, totalPlus, PDFs ....} - #keys = sources + total, totalMinu, totalPlus, PDFs - central -# return total, totalMinus, totalPlus - -def printNormalisationResultsForTTJetWithUncertanties(result, analysis, toFile=True): - global metbins - printout = '\n' - printout += '=' * 60 - printout = '\n' - printout += 'Results for %s region\n' % bjetbin - printout += '=' * 60 - printout += '\n' -# rows = {} - printout += '\met bin & N_{t\\bar{t}}^{fit} \\\\ \n' - printout += '\hline\n' - uncertainties = {} - for metbin in metbins: - centralresult = result[metbin]['central']['TTJet'] - uncertainty = calculateTotalUncertainty(result[metbin]) - uncertainty['Total+']['value'], uncertainty['Total-']['value'] = symmetriseErrors(uncertainty['Total+']['value'], uncertainty['Total-']['value']) - formatting = (metbin, centralresult['value'], centralresult['error'], uncertainty['Total+']['value'], uncertainty['Total-']['value']) - text = '%s~\GeV & $%f \pm %.f (fit)^{+%f}_{-%.f} (sys)$ \\\\ \n' % formatting - printout += text - - for source, value in uncertainty.iteritems(): - unc_result = value - if not uncertainties.has_key(source): - uncertainties[source] = '\n' - uncertainties[source] += '=' * 60 - uncertainties[source] = '\n' - uncertainties[source] += 'Results for %s region, source = %s\n' % (bjetbin, source) - uncertainties[source] += '=' * 60 - uncertainties[source] += '\n' - formatting = (metbin, - unc_result['value'], - unc_result['error'], - ('%.2f' % (unc_result['value'] / centralresult['value'] * 100)) + '\%') - text = '%s~\GeV & $%f \pm %f (fit) (%s of central result)$ \\\\ \n' % formatting - uncertainties[source] += text - - if toFile: - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - for source, value in uncertainties.iteritems(): - printout += value -# output_file = open(savePath + analysis + '_normalisation_TTJet_result' + unfolding + '_' + bjetbin + '.tex', 'w') -# output_file.write(printout) -# output_file.close() - fileutils.writeStringToFile(printout, savePath + analysis + '_normalisation_TTJet_result' + unfolding + '_' + bjetbin + '.tex') - else: - print printout - -def printCrossSectionResult(result, analysis, toFile=True): - global metbins - printout = '\n' - printout += '=' * 60 - printout = '\n' - printout += 'Results for %s region\n' % bjetbin - printout += '=' * 60 - printout += '\n' - rows = {} - header = 'Measurement' - for metbin in metbins: -# width = metbin_widths[metbin] - scale = 1# / width - header += '& $\sigma_{meas}$ \met bin %s~\GeV' % metbin - for source in result[metbin].keys(): - fitresult = result[metbin][source] - relativeError = getRelativeError(fitresult['value'], fitresult['error']) - text = ' $%.2f \pm %.2f$ pb' % (fitresult['value'] * scale, fitresult['error'] * scale) + '(%.2f' % (relativeError * 100) + '\%)' - if rows.has_key(source): - rows[source].append(text) - else: - rows[source] = [source, text] - - header += '\\\\ \n' - printout += header - printout += '\hline\n' - for item in rows['central']: - printout += item + '&' - printout = printout.rstrip('&') - printout += '\\\\ \n' - - for source in sorted(rows.keys()): - if source == 'central': - continue - for item in rows[source]: - printout += item + '&' - printout = printout.rstrip('&') - printout += '\\\\ \n' - printout += '\hline \n\n' - - if toFile: - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - fileutils.writeStringToFile(printout, savePath + analysis + '_crosssection_result' + unfolding + '_' + bjetbin + '.tex') -# output_file = open(savePath + analysis + '_crosssection_result' + unfolding + '_' + bjetbin + '.tex', 'w') -# output_file.write(printout) -# output_file.close() - else: - print printout - -def printCrossSectionResultsForTTJetWithUncertanties(result, analysis, toFile=True): - global metbins - printout = '\n' - printout += '=' * 60 - printout = '\n' - printout += 'Results for %s region\n' % bjetbin - printout += '=' * 60 - printout += '\n' -# rows = {} - printout += '\met bin & $\sigma{meas}$ \\\\ \n' - printout += '\hline\n' - uncertainties = {} - for metbin in metbins: -# width = metbin_widths[metbin] - scale = 1# / width - centralresult = result[metbin]['central'] - uncertainty = calculateTotalUncertainty(result[metbin]) - uncertainty['Total+']['value'], uncertainty['Total-']['value'] = symmetriseErrors(uncertainty['Total+']['value'], uncertainty['Total-']['value']) - formatting = (metbin, centralresult['value'] * scale, centralresult['error'] * scale, - uncertainty['Total+']['value'] * scale, uncertainty['Total-']['value'] * scale) - text = '%s~\GeV & $%.2f \pm %.2f (fit)^{+%.2f}_{-%.2f} (sys)$ pb \\\\ \n' % formatting - printout += text - - for source, value in uncertainty.iteritems(): - unc_result = value - if not uncertainties.has_key(source): - uncertainties[source] = '\n' - uncertainties[source] += '=' * 60 - uncertainties[source] = '\n' - uncertainties[source] += 'Results for %s region, source = %s\n' % (bjetbin, source) - uncertainties[source] += '=' * 60 - uncertainties[source] += '\n' - formatting = (metbin, - unc_result['value'] * scale, - unc_result['error'] * scale, - ('%.2f' % (unc_result['value'] / centralresult['value'] * 100)) + '\%') - text = '%s~\GeV & $%.2f \pm %.2f (fit) (%s of central result)$ \\\\ \n' % formatting - uncertainties[source] += text - - if toFile: - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - for source, value in uncertainties.iteritems(): - printout += value - fileutils.writeStringToFile(printout, savePath + analysis + '_crosssection_main_result' + unfolding + '_' + bjetbin + '.tex') - else: - print printout - -def calculatePDFErrors(results): - centralResult = results['central'] - if centralResult.has_key('TTJet'): - centralResult = results['central']['TTJet'] - centralvalue = centralResult['value'] - negative = [] - positive = [] - - for index in range(1, 45): - weight = 'PDFWeights_%d' % index - result = results[weight] - if result.has_key('TTJet'): - result = results[weight]['TTJet'] - value = result['value'] - if index % 2 == 0: #even == negative - negative.append(value) - else: - positive.append(value) - pdf_max = numpy.sqrt(sum(max(x - centralvalue, y - centralvalue, 0) ** 2 for x, y in zip(negative, positive))) - pdf_min = numpy.sqrt(sum(max(centralvalue - x, centralvalue - y, 0) ** 2 for x, y in zip(negative, positive))) - return pdf_min, pdf_max - - -def plotNormalisationResults(results, analysis): - global metbins - for metbin in metbins: - for measurement, result in results[metbin].iteritems(): - if not measurement == 'central' and not measurement == 'QCD shape': - continue -# result = results[metbin]['central'] -# fit = result['fit'] - # fitvalues = result['fitvalues'] - templates = result['vectors'] - plots = {} - plot_templates = {} - - used_data = data_label[analysis] - samples = [ - used_data, - 'V+Jets', -# 'W+Jets', -# 'DYJetsToLL', - qcdLabel, - # 'Di-Boson', - 'Signal' -# 'TTJet', -# 'SingleTop' - ] - colors = { - used_data:0, - 'V+Jets':kGreen - 3, -# 'W+Jets':kGreen - 3, -# 'DYJetsToLL':kAzure - 2, - qcdLabel:kYellow, - # 'Di-Boson':kWhite, - 'Signal':kRed + 1, -# 'TTJet':kRed + 1, -# 'SingleTop': kMagenta - } - for sample in samples: - template = templates[sample] - plot = TH1F(sample + metbin + bjetbin + measurement + analysis, sample, 13, 0, 2.6) - plot_template = TH1F(sample + metbin + bjetbin + measurement + analysis + '_template', sample, 13, 0, 2.6) - bin_i = 1 - for value in template: - plot.SetBinContent(bin_i, value) - plot_template.SetBinContent(bin_i, value) - bin_i += 1 - plot.Scale(result[sample]['value']) - # plot.Rebin(rebin) - plot.SetYTitle('Events/0.2') - plot_template.SetYTitle('normalised to unit area/0.2') - if analysis == 'EPlusJets': - plot.SetXTitle('|#eta(e)|') - plot_template.SetXTitle('|#eta(e)|') - else: - plot.SetXTitle('|#eta(#mu)|') - plot_template.SetXTitle('|#eta(#mu)|') - plot.SetMarkerStyle(20) - - - if not sample == used_data: - plot.SetFillColor(colors[sample]) -# plot.SetLineColor(colors[sample]) - plot_template.SetLineColor(colors[sample]) - plot_template.SetLineWidth(5) - plots[sample] = plot - plot_templates[sample] = plot_template - plots['Background'] = plots['V+Jets'].Clone() - plots['Background'] += plots[qcdLabel] - c = TCanvas("Fit_" + metbin + bjetbin + measurement + analysis, "Differential cross section", 1600, 1200) - max_y = plots[used_data].GetMaximum() - plots[used_data].SetMaximum(max_y * 1.5) - plots[used_data].Draw('error') - mcStack = THStack("MC", "MC") - # mcStack.Add(plots['Di-Boson']); -# mcStack.Add(plots[qcdLabel]); -# mcStack.Add(plots['V+Jets']); - mcStack.Add(plots['Background']); - mcStack.Add(plots['Signal']); -# mcStack.Add(plots['DYJetsToLL']); -# mcStack.Add(plots['W+Jets']); -# mcStack.Add(plots['SingleTop']); -# mcStack.Add(plots['TTJet']); - mcStack.Draw('hist same') -# fit.Draw('same') - plots[used_data].Draw('error same') - - legend = plotting.create_legend(x0=0.65, y0 = 0.95, x1=0.94, y1=0.55) - legend.AddEntry(plots[used_data], "data", 'P') - legend.AddEntry(plots['Signal'], 't#bar{t} + Single-Top', 'F') -# legend.AddEntry(plots['TTJet'], 't#bar{t}', 'F') -# legend.AddEntry(plots['SingleTop'], 'Single-Top', 'F') - legend.AddEntry(plots['Background'], 'background', 'F') -# legend.AddEntry(plots['V+Jets'], 'V+Jets', 'F') -# legend.AddEntry(plots['W+Jets'], 'W#rightarrowl#nu', 'F') -# legend.AddEntry(plots['DYJetsToLL'], 'Z/#gamma*#rightarrowl^{+}l^{-}', 'F') -# legend.AddEntry(plots[qcdLabel], 'QCD/#gamma + jets', 'F') - - # legend.AddEntry(plots['Di-Boson'], 'VV + X', 'F') - legend.Draw() - metLabel = TPaveText(0.2, 0.8, 0.6, 0.95, "NDC") - mytext = TPaveText(0.5, 0.97, 1, 1.01, "NDC") - channelLabel = TPaveText(0.18, 0.97, 0.5, 1.01, "NDC") - if analysis == 'EPlusJets': - channelLabel.AddText("e, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - elif analysis == 'MuPlusJets': - channelLabel.AddText("#mu, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - elif analysis == 'Combination': - channelLabel.AddText("combined, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - - mytext.AddText("CMS Preliminary, L = %.1f fb^{-1} @ #sqrt{s} = 8 TeV" % (5.8)); - metLabel.AddText(metbin_latex[metbin]) - mytext.SetFillStyle(0) - mytext.SetBorderSize(0) - mytext.SetTextFont(42) - mytext.SetTextAlign(13) - - metLabel.SetFillStyle(0) - metLabel.SetBorderSize(0) - metLabel.SetTextFont(42) - metLabel.SetTextAlign(13) - - channelLabel.SetFillStyle(0) - channelLabel.SetBorderSize(0) - channelLabel.SetTextFont(42) - channelLabel.SetTextAlign(13) - mytext.Draw() - metLabel.Draw() - channelLabel.Draw() - - prefix = 'EPlusJets_electron' - if analysis == 'MuPlusJets': - prefix = 'MuPlusJets_muon' - elif analysis == 'EPlusJets': - prefix = 'EPlusJets_electron' - else: - prefix = analysis - plotting.saveAs(c, prefix + '_AbsEta_fit_' + measurement + '_' + metbin + '_' + bjetbin, - outputFormat_plots, - savePath + measurement) - c = TCanvas(prefix + '_AbsEta_templates_' + metbin + bjetbin + measurement, "Differential cross section", 1600, 1200) -# max_y = plot_templates['TTJet'].GetMaximum() -# plot_templates['TTJet'].SetMaximum(max_y * 1.5) -# plot_templates['TTJet'].Draw('hist') - max_y = plot_templates['Signal'].GetMaximum() - plot_templates['Signal'].SetMaximum(max_y * 1.5) - plot_templates['Signal'].Draw('hist') - plot_templates[qcdLabel].Draw('hist same') -# plot_templates['DYJetsToLL'].Draw('hist same') -# plot_templates['W+Jets'].Draw('hist same') - plot_templates['V+Jets'].Draw('hist same') -# plot_templates['SingleTop'].Draw('hist same') - - legend = plotting.create_legend(x0=0.696, y0 = 0.95, x1=0.94, y1=0.65) - legend.AddEntry(plot_templates['Signal'], 't#bar{t} + Single-Top', 'L') -# legend.AddEntry(plot_templates['TTJet'], 't#bar{t}', 'L') -# legend.AddEntry(plot_templates['SingleTop'], 'Single-Top', 'L') - legend.AddEntry(plot_templates['V+Jets'], 'V+Jets', 'L') -# legend.AddEntry(plot_templates['W+Jets'], 'W#rightarrowl#nu', 'L') -# legend.AddEntry(plot_templates['DYJetsToLL'], 'Z/#gamma*#rightarrowl^{+}l^{-}', 'L') - legend.AddEntry(plot_templates[qcdLabel], 'QCD/#gamma + jets', 'L') - - # legend.AddEntry(plots['Di-Boson'], 'VV + X', 'F') - legend.Draw() - mytext.Draw() - metLabel.Draw() - channelLabel.Draw() - - plotting.saveAs(c, prefix + '_AbsEta_templates_' + measurement + '_' + metbin + '_' + bjetbin, - outputFormat_plots, - savePath + measurement) - -def plotCrossSectionResults(result, analysis, compareToSystematic=False): - - arglist = array('d', [0, 25, 45, 70, 100, 150, 200]) - c = TCanvas("test", "Differential cross section", 1600, 1200) - plot = TH1F("measurement_" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{#partial#sigma}{dE_{T}^{miss}} [pb GeV^{-1}]', len(arglist) - 1, arglist) - plotMADGRAPH = TH1F("measurement_MC_MADGRAPH" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{#partial#sigma}{dE_{T}^{miss}}', len(arglist) - 1, arglist) - plotPOWHEG = TH1F("measurement_MC_POWHEG" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{#partial#sigma}{dE_{T}^{miss}}', len(arglist) - 1, arglist) -# plotPYTHIA6 = TH1F("measurement_MC_PYTHIA6" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{#partial#sigma}{dE_{T}^{miss}}', len(arglist) - 1, arglist) - plotnoCorr_mcatnlo = TH1F("measurement_MC_MCatNLO" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{#partial#sigma}{dE_{T}^{miss}}', len(arglist) - 1, arglist) - plot.GetXaxis().SetTitleSize(0.05) - plot.GetYaxis().SetTitleSize(0.05) - plot.SetMinimum(0) - plot.SetMaximum(80) - plot.SetMarkerSize(2) - plot.SetMarkerStyle(20) - plotMADGRAPH.SetLineColor(kRed + 1) - plotMADGRAPH.SetLineStyle(7) - plotPOWHEG.SetLineColor(kBlue) - plotPOWHEG.SetLineStyle(7) -# plotPYTHIA6.SetLineColor(kGreen + 4) -# plotPYTHIA6.SetLineStyle(7) - plotnoCorr_mcatnlo.SetLineColor(kMagenta + 3) - plotnoCorr_mcatnlo.SetLineStyle(7) - - legend = plotting.create_legend() - legend.AddEntry(plot, 'data', 'P') - if compareToSystematic: - legend.AddEntry(plotMADGRAPH, 't#bar{t} (Q^{2} down)', 'l') - legend.AddEntry(plotPOWHEG, 't#bar{t} (Q^{2} up)', 'l') -# legend.AddEntry(plotPYTHIA6, 't#bar{t} (matching down)', 'l') - legend.AddEntry(plotnoCorr_mcatnlo, 't#bar{t} (matching up)', 'l') - else: - legend.AddEntry(plotMADGRAPH, 't#bar{t} (MADGRAPH)', 'l') - legend.AddEntry(plotPOWHEG, 't#bar{t} (POWHEG)', 'l') -# legend.AddEntry(plotPYTHIA6, 't#bar{t} (PYTHIA6)', 'l') - legend.AddEntry(plotnoCorr_mcatnlo, 't#bar{t} (MC@NLO)', 'l') - - bin_i = 1 - for metbin in metbins: -# width = metbin_widths[metbin] - scale = 1# / width - centralresult = result[metbin]['central'] - plot.SetBinContent(bin_i, centralresult['value'] * scale) - if compareToSystematic: - plotMADGRAPH.SetBinContent(bin_i, result[metbin]['TTJet scale -']['MADGRAPH'] * scale) - plotPOWHEG.SetBinContent(bin_i, result[metbin]['TTJet scale +']['MADGRAPH'] * scale) -# plotPYTHIA6.SetBinContent(bin_i, result[metbin]['TTJet matching -']['MADGRAPH'] * scale) - plotnoCorr_mcatnlo.SetBinContent(bin_i, result[metbin]['TTJet matching +']['MADGRAPH'] * scale) - else: - plotMADGRAPH.SetBinContent(bin_i, centralresult['MADGRAPH'] * scale) - plotPOWHEG.SetBinContent(bin_i, centralresult['POWHEG'] * scale) -# plotPYTHIA6.SetBinContent(bin_i, centralresult['PYTHIA6'] * scale) - plotnoCorr_mcatnlo.SetBinContent(bin_i, centralresult['MCatNLO'] * scale) - bin_i += 1 - plotAsym = TGraphAsymmErrors(plot) - plotStatErr = TGraphAsymmErrors(plot) - bin_i = 0 - for metbin in metbins: -# width = metbin_widths[metbin] - scale = 1# / width - centralresult = result[metbin]['central'] - uncertainty = calculateTotalUncertainty(result[metbin], compareToSystematic) - uncertainty['Total+']['value'], uncertainty['Total-']['value'] = symmetriseErrors(uncertainty['Total+']['value'], uncertainty['Total-']['value']) - error_up = sqrt(centralresult['error'] ** 2 + uncertainty['Total+']['value'] ** 2) * scale - error_down = sqrt(centralresult['error'] ** 2 + uncertainty['Total-']['value'] ** 2) * scale - plotAsym.SetPointEYhigh(bin_i, error_up) - plotAsym.SetPointEYlow(bin_i, error_down) - plotStatErr.SetPointEYhigh(bin_i, centralresult['error']) - plotStatErr.SetPointEYlow(bin_i, centralresult['error']) - bin_i += 1 - plotAsym.SetLineWidth(3) -# plotStatErr.SetLineStyle(2) - plotStatErr.SetLineWidth(3) -# plotAsym.SetMarkerSize(2) -# plotAsym.SetMarkerStyle(20) - plot.Draw('P') -# gStyle.SetErrorX(0.4) - plotMADGRAPH.Draw('hist same') - plotPOWHEG.Draw('hist same') -# plotPYTHIA6.Draw('hist same') - plotnoCorr_mcatnlo.Draw('hist same') - gStyle.SetEndErrorSize(20) - plotStatErr.Draw('same P') -# gStyle.SetEndErrorSize(0) - plotAsym.Draw('same P Z') - legend.Draw() - mytext = TPaveText(0.5, 0.97, 1, 1.01, "NDC") - channelLabel = TPaveText(0.18, 0.97, 0.5, 1.01, "NDC") - if analysis == 'EPlusJets': - channelLabel.AddText("e, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - elif analysis == 'MuPlusJets': - channelLabel.AddText("#mu, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - elif analysis == 'Combination': - channelLabel.AddText("combined, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - mytext.AddText("CMS Preliminary, L = %.1f fb^{-1} at #sqrt{s} = 8 TeV" % (5.8)); - - mytext.SetFillStyle(0) - mytext.SetBorderSize(0) - mytext.SetTextFont(42) - mytext.SetTextAlign(13) - - channelLabel.SetFillStyle(0) - channelLabel.SetBorderSize(0) - channelLabel.SetTextFont(42) - channelLabel.SetTextAlign(13) - mytext.Draw() - channelLabel.Draw() - - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - prefix = analysis - if compareToSystematic: - plotting.saveAs(c, prefix + '_diff_MET_xsection_compareSystematics' + unfolding + '_' + bjetbin, outputFormat_plots, savePath) - else: - plotting.saveAs(c, prefix + '_diff_MET_xsection' + unfolding + '_' + bjetbin, outputFormat_plots, savePath) - -def printNormalisedCrossSectionResult(result, analysis, toFile=True): - global metbins - printout = '\n' - printout += '=' * 60 - printout = '\n' - printout += 'Results for %s region\n' % bjetbin - printout += '=' * 60 - printout += '\n' - rows = {} - header = 'Measurement' - for metbin in metbins: - header += '& $\sigma_{meas}$ \met bin %s~\GeV' % metbin_latex_tables[metbin] -# width = metbin_widths[metbin] - for source in result[metbin].keys(): - fitresult = result[metbin][source] - scale = 100 - relativeError = getRelativeError(fitresult['value'], fitresult['error']) -# 0--25~\GeV & $\left(0.61 \pm 0.03 \text{ (fit)} \pm 0.06 \text{ (syst.)}\right) \times 10^{-2}\, \GeV^{-1}$\\ - text = ' $(%.2f \pm %.2f) \cdot 10^{-2}$ ' % (fitresult['value'] * scale, fitresult['error'] * scale) + '(%.2f' % (relativeError * 100) + '\%)' -# text = ' $%.2f \pm %.2f $ ' % (fitresult['value']*scale,fitresult['error']*scale) + '(%.2f' % (relativeError * 100) + '\%)' - if rows.has_key(source): - rows[source].append(text) - else: - rows[source] = [source, text] - - header += '\\\\ \n' - printout += header - printout += '\hline\n' - for item in rows['central']: - printout += item + '&' - printout = printout.rstrip('&') - printout += '\\\\ \n' - - for source in sorted(rows.keys()): - if source == 'central': - continue - for item in rows[source]: - printout += item + '&' - printout = printout.rstrip('&') - printout += '\\\\ \n' - printout += '\hline \n\n' - - if toFile: - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - output_file = open(savePath + analysis + '_normalised_crosssection_result' + unfolding + '_' + bjetbin + '.tex', 'w') - output_file.write(printout) - output_file.close() - else: - print printout - -def printNormalisedCrossSectionResultsForTTJetWithUncertanties(result, analysis, toFile=True): - global metbins, doBinByBinUnfolding - printout = '\n' - printout += '=' * 60 - printout = '\n' - printout += 'Results for %s region\n' % bjetbin - printout += '=' * 60 - printout += '\n' -# rows = {} - printout += '\met bin & $\sigma{meas}$ \\\\ \n' - printout += '\hline\n' - uncertainties = {} - header = 'Uncertainty' - for metbin in metbins: - header += '&\met bin %s' % metbin_latex_tables[metbin] -# width = metbin_widths[metbin] - centralresult = result[metbin]['central'] - uncertainty = calculateTotalUncertainty(result[metbin]) - uncertainty['Total+']['value'], uncertainty['Total-']['value'] = symmetriseErrors(uncertainty['Total+']['value'], uncertainty['Total-']['value']) - scale = 100# / width - formatting = (metbin_latex_tables[metbin], centralresult['value'] * scale, - centralresult['error'] * scale, uncertainty['Total+']['value'] * scale, - uncertainty['Total-']['value'] * scale) - text = '%s & $%.2f \pm %.2f (fit)^{+%.2f}_{-%.2f} (sys) \cdot 10^{-2}$\\\\ \n' % formatting - if doSymmetricErrors: - formatting = (metbin_latex_tables[metbin], centralresult['value'] * scale, - centralresult['error'] * scale, uncertainty['Total+']['value'] * scale) - text = '%s & $\\left(%.2f \\pm %.2f \\text{ (fit)} \pm %.2f \\text{ (syst.)}\\right) \\times 10^{-2}\, \\GeV^{-1}$\\\\ \n' % formatting - #0--25~\GeV & $\left(0.61 \pm 0.03 \text{ (fit)} \pm 0.06 \text{ (syst.)}\right) \times 10^{-2}\, \GeV^{-1}$\\ - printout += text - for source in uncertainty.keys(): - unc_result = uncertainty[source] - if not uncertainties.has_key(source): - if source in metsystematics_sources: - uncertainties[source] = metsystematics_sources_latex[source] + ' & ' - else: - uncertainties[source] = source + ' & ' - relativeError = getRelativeError(centralresult['value'], unc_result['value']) -# text = ' $(%.2f \pm %.2f) \cdot 10^{-2} $ ' % (unc_result['value']*scale,unc_result['error']*scale) + '(%.2f' % (relativeError * 100) + '\%) &' - text = '%.2f' % (relativeError * 100) + '\% &' -# text = ' $%.2f \pm %.2f $ ' % (unc_result['value']*scale,unc_result['error']*scale) + '(%.2f' % (relativeError * 100) + '\%) &' - uncertainties[source] += text - - if toFile: - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - output_file = open(savePath + analysis + '_normalised_crosssection_main_result' + unfolding + '_' + bjetbin + '.tex', 'w') - output_file.write(printout) - header += '\\\\ \n' - output_file.write(header) - for source in sorted(uncertainties.keys()): - value = uncertainties[source] - value = value.rstrip('&') - value += '\\\\ \n' - output_file.write(value) - output_file.close() - else: - print printout - -def plotNormalisedCrossSectionResults(result, analysis, compareToSystematic=False): - - arglist = array('d', [0, 25, 45, 70, 100, 150, 200]) - c = TCanvas("test", "Differential cross section", 1600, 1200) - plot = TH1F("measurement_" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{1}{#sigma} #frac{d#sigma}{dE_{T}^{miss}} [GeV^{-1}]', len(arglist) - 1, arglist) - plotMADGRAPH = TH1F("measurement_MC_MADGRAPH" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{1}{#sigma} #frac{d#sigma}{dE_{T}^{miss}} [GeV^{-1}]', len(arglist) - 1, arglist) - plotPOWHEG = TH1F("measurement_MC_POWHEG" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{1}{#sigma} #frac{d#sigma}{dE_{T}^{miss}} [GeV^{-1}]', len(arglist) - 1, arglist) -# plotPYTHIA6 = TH1F("measurement_MC_PYTHIA6" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{1}{#sigma} #frac{d#sigma}{dE_{T}^{miss}} [GeV^{-1}]', len(arglist) - 1, arglist) - plotnoCorr_mcatnlo = TH1F("measurement_MC_MCatNLO" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{1}{#sigma} #frac{d#sigma}{dE_{T}^{miss}} [GeV^{-1}]', len(arglist) - 1, arglist) - plot.GetXaxis().SetTitleSize(0.05) - plot.GetYaxis().SetTitleSize(0.05) - plot.SetMinimum(0) - plot.SetMaximum(0.02) - plot.SetMarkerSize(2) - plot.SetMarkerStyle(20) - plotMADGRAPH.SetLineColor(kRed + 1) -# plotMADGRAPH.SetLineWidth(2) - plotMADGRAPH.SetLineStyle(7) - plotPOWHEG.SetLineColor(kBlue) - plotPOWHEG.SetLineStyle(7) -# plotPOWHEG.SetLineWidth(2) -# plotPYTHIA6.SetLineColor(kGreen + 4) -# plotPYTHIA6.SetLineStyle(7) -# plotPYTHIA6.SetLineWidth(2) - plotnoCorr_mcatnlo.SetLineColor(kMagenta + 3) -# plotnoCorr_mcatnlo.SetLineWidth(2) - plotnoCorr_mcatnlo.SetLineStyle(7) - legend = plotting.create_legend(x0=0.6, y1=0.5) - legend.AddEntry(plot, 'data', 'P') - if compareToSystematic: - legend.AddEntry(plotMADGRAPH, 't#bar{t} (Q^{2} down)', 'l') - legend.AddEntry(plotPOWHEG, 't#bar{t} (Q^{2} up)', 'l') -# legend.AddEntry(plotPYTHIA6, 't#bar{t} (matching down)', 'l') - legend.AddEntry(plotnoCorr_mcatnlo, 't#bar{t} (matching up)', 'l') - else: - legend.AddEntry(plotMADGRAPH, 't#bar{t} (MADGRAPH)', 'l') - legend.AddEntry(plotPOWHEG, 't#bar{t} (POWHEG)', 'l') -# legend.AddEntry(plotPYTHIA6, 't#bar{t} (PYTHIA6)', 'l') - legend.AddEntry(plotnoCorr_mcatnlo, 't#bar{t} (MC@NLO)', 'l') - bin_i = 1 - for metbin in metbins: -# width = metbin_widths[metbin] - scale = 1# / width - centralresult = result[metbin]['central'] - plot.SetBinContent(bin_i, centralresult['value'] * scale) - if compareToSystematic: - plotMADGRAPH.SetBinContent(bin_i, result[metbin]['TTJet scale -']['MADGRAPH'] * scale) - plotPOWHEG.SetBinContent(bin_i, result[metbin]['TTJet scale +']['MADGRAPH'] * scale) -# plotPYTHIA6.SetBinContent(bin_i, result[metbin]['TTJet matching -']['MADGRAPH'] * scale) - plotnoCorr_mcatnlo.SetBinContent(bin_i, result[metbin]['TTJet matching +']['MADGRAPH'] * scale) - else: - plotMADGRAPH.SetBinContent(bin_i, centralresult['MADGRAPH'] * scale) - plotPOWHEG.SetBinContent(bin_i, centralresult['POWHEG'] * scale) -# plotPYTHIA6.SetBinContent(bin_i, centralresult['PYTHIA6'] * scale) - plotnoCorr_mcatnlo.SetBinContent(bin_i, centralresult['MCatNLO'] * scale) - bin_i += 1 - plotAsym = TGraphAsymmErrors(plot) - plotStatErr = TGraphAsymmErrors(plot) - bin_i = 0 - for metbin in metbins: -# width = metbin_widths[metbin] - scale = 1# / width - centralresult = result[metbin]['central'] - uncertainty = calculateTotalUncertainty(result[metbin], compareToSystematic) - uncertainty['Total+']['value'], uncertainty['Total-']['value'] = symmetriseErrors(uncertainty['Total+']['value'], uncertainty['Total-']['value']) - error_up = sqrt(centralresult['error'] ** 2 + uncertainty['Total+']['value'] ** 2) * scale - error_down = sqrt(centralresult['error'] ** 2 + uncertainty['Total-']['value'] ** 2) * scale - if DEBUG: - print centralresult['error'], uncertainty['Total+']['value'], error_up - print centralresult['error'], uncertainty['Total-']['value'], error_down - plotStatErr.SetPointEYhigh(bin_i, centralresult['error']) - plotStatErr.SetPointEYlow(bin_i, centralresult['error']) - plotAsym.SetPointEYhigh(bin_i, error_up) - plotAsym.SetPointEYlow(bin_i, error_down) - bin_i += 1 - plotAsym.SetLineWidth(3) -# plotStatErr.SetLineStyle(2) - plotStatErr.SetLineWidth(3) - - plot.Draw('P') -# gStyle.SetErrorX(0.4) - plotMADGRAPH.Draw('hist same') - plotPOWHEG.Draw('hist same') -# plotPYTHIA6.Draw('hist same') - plotnoCorr_mcatnlo.Draw('hist same') - gStyle.SetEndErrorSize(20) - plotStatErr.Draw('same P') -# gStyle.SetEndErrorSize(0) - plotAsym.Draw('same P Z') - legend.Draw() - mytext = TPaveText(0.5, 0.97, 1, 1.01, "NDC") - channelLabel = TPaveText(0.18, 0.97, 0.5, 1.01, "NDC") - if analysis == 'EPlusJets': - channelLabel.AddText("e, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - elif analysis == 'MuPlusJets': - channelLabel.AddText("#mu, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - elif analysis == 'Combination': - channelLabel.AddText("combined, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - mytext.AddText("CMS Preliminary, L = %.1f fb^{-1} at #sqrt{s} = 8 TeV" % (5.8)); - - mytext.SetFillStyle(0) - mytext.SetBorderSize(0) - mytext.SetTextFont(42) - mytext.SetTextAlign(13) - - channelLabel.SetFillStyle(0) - channelLabel.SetBorderSize(0) - channelLabel.SetTextFont(42) - channelLabel.SetTextAlign(13) - mytext.Draw() - if not analysis == 'Combination': - channelLabel.Draw() - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - if compareToSystematic: - plotting.saveAs(c, analysis + '_diff_MET_norm_xsection_compareSystematics' + unfolding + '_' + bjetbin, outputFormat_plots, savePath) - else: - plotting.saveAs(c, analysis + '_diff_MET_norm_xsection' + unfolding + '_' + bjetbin, outputFormat_plots, savePath) - -def plotNormalisedCrossSectionResultsAllChannels(result_electron, result_muon, result_combined): - arglist_electron = array('d', [0, 15, 45, 60, 100, 140, 180]) - arglist_muon = array('d', [0, 35, 45, 80, 100, 160, 200]) - arglist_combined = array('d', [0, 25, 45, 70, 100, 150, 200]) - c = TCanvas("test", "Differential cross section", 1600, 1200) - plot_electron = TH1F("electron_measurement_" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{1}{#sigma} #frac{d#sigma}{dE_{T}^{miss}} [GeV^{-1}]', len(arglist_electron) - 1, arglist_electron) - plot_muon = TH1F("muon_measurement_" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{1}{#sigma} #frac{d#sigma}{dE_{T}^{miss}} [GeV^{-1}]', len(arglist_muon) - 1, arglist_muon) - plot_combined = TH1F("combined_measurement_" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{1}{#sigma} #frac{d#sigma}{dE_{T}^{miss}} [GeV^{-1}]', len(arglist_combined) - 1, arglist_combined) - plotMADGRAPH = TH1F("measurement_MC_MADGRAPH" + bjetbin, 'Differential cross section; E_{T}^{miss} [GeV];#frac{#partial#sigma}{dE_{T}^{miss}}', len(arglist_combined) - 1, arglist_combined) - plot_combined.GetXaxis().SetTitleSize(0.05) - plot_combined.GetYaxis().SetTitleSize(0.05) - plot_combined.SetMinimum(0) - plot_combined.SetMaximum(0.02) - plot_combined.SetMarkerSize(2) - plot_combined.SetMarkerStyle(20) - - plot_electron.SetMarkerStyle(21); - plot_electron.SetMarkerColor(4) - plot_electron.SetLineColor(4) - plot_electron.SetMarkerSize(2) - - plot_muon.SetMarkerStyle(22); - plot_muon.SetMarkerColor(kAzure - 9) - plot_muon.SetLineColor(7) - plot_muon.SetMarkerSize(2) - - plotMADGRAPH.SetLineColor(kRed + 1) - - legend = plotting.create_legend(x0=0.6, y1=0.5) - legend.AddEntry(plot_electron, 'e+jets', 'P') - legend.AddEntry(plot_muon, '#mu+jets', 'P') - legend.AddEntry(plot_combined, 'combined', 'P') - legend.AddEntry(plotMADGRAPH, 'MADGRAPH', 'l') - bin_i = 1 - for metbin in metbins: -# width = metbin_widths[metbin] - scale = 1# / width - centralresult_electron = result_electron[metbin]['central'] - centralresult_muon = result_muon[metbin]['central'] - centralresult_combined = result_combined[metbin]['central'] - plot_electron.SetBinContent(bin_i, centralresult_electron['value'] * scale) - plot_muon.SetBinContent(bin_i, centralresult_muon['value'] * scale) - plot_combined.SetBinContent(bin_i, centralresult_combined['value'] * scale) - plotMADGRAPH.SetBinContent(bin_i, centralresult_combined['MADGRAPH'] * scale) - bin_i += 1 - plotAsym_electron = TGraphAsymmErrors(plot_electron) - plotStatErr_electron = TGraphAsymmErrors(plot_electron) - plotAsym_muon = TGraphAsymmErrors(plot_muon) - plotStatErr_muon = TGraphAsymmErrors(plot_muon) - plotAsym_combined = TGraphAsymmErrors(plot_combined) - plotStatErr_combined = TGraphAsymmErrors(plot_combined) - - plotAsym_electron.SetLineColor(4) - plotAsym_muon.SetLineColor(kAzure - 9) - -# plotStatErr_electron.SetLineStyle(2) -# plotStatErr_muon.SetLineStyle(2) -# plotStatErr_combined.SetLineStyle(2) - - plotAsym_electron.SetLineWidth(3) - plotStatErr_electron.SetLineWidth(3) - plotAsym_muon.SetLineWidth(3) - plotStatErr_muon.SetLineWidth(3) - plotAsym_combined.SetLineWidth(3) - plotStatErr_combined.SetLineWidth(3) - bin_i = 0 - for metbin in metbins: -# width = metbin_widths[metbin] - scale = 1# / width - centralresult_electron = result_electron[metbin]['central'] - centralresult_muon = result_muon[metbin]['central'] - centralresult_combined = result_combined[metbin]['central'] - - uncertainty_electron = calculateTotalUncertainty(result_electron[metbin]) - uncertainty_electron['Total+']['value'], uncertainty_electron['Total-']['value'] = symmetriseErrors(uncertainty_electron['Total+']['value'], uncertainty_electron['Total-']['value']) - error_up_electron = sqrt(centralresult_electron['error'] ** 2 + uncertainty_electron['Total+']['value'] ** 2) * scale - error_down_electron = sqrt(centralresult_electron['error'] ** 2 + uncertainty_electron['Total-']['value'] ** 2) * scale - - uncertainty_muon = calculateTotalUncertainty(result_muon[metbin]) - uncertainty_muon['Total+']['value'], uncertainty_muon['Total-']['value'] = symmetriseErrors(uncertainty_muon['Total+']['value'], uncertainty_muon['Total-']['value']) - error_up_muon = sqrt(centralresult_muon['error'] ** 2 + uncertainty_muon['Total+']['value'] ** 2) * scale - error_down_muon = sqrt(centralresult_muon['error'] ** 2 + uncertainty_muon['Total-']['value'] ** 2) * scale - - uncertainty_combined = calculateTotalUncertainty(result_combined[metbin]) - uncertainty_combined['Total+']['value'], uncertainty_combined['Total-']['value'] = symmetriseErrors(uncertainty_combined['Total+']['value'], uncertainty_combined['Total-']['value']) - error_up_combined = sqrt(centralresult_combined['error'] ** 2 + uncertainty_combined['Total+']['value'] ** 2) * scale - error_down_combined = sqrt(centralresult_combined['error'] ** 2 + uncertainty_combined['Total-']['value'] ** 2) * scale - - plotAsym_electron.SetPointEYhigh(bin_i, error_up_electron) - plotAsym_electron.SetPointEYlow(bin_i, error_down_electron) - - plotAsym_muon.SetPointEYhigh(bin_i, error_up_muon) - plotAsym_muon.SetPointEYlow(bin_i, error_down_muon) - - plotAsym_combined.SetPointEYhigh(bin_i, error_up_combined) - plotAsym_combined.SetPointEYlow(bin_i, error_down_combined) - - plotStatErr_electron.SetPointEYhigh(bin_i, centralresult_electron['error']) - plotStatErr_electron.SetPointEYlow(bin_i, centralresult_electron['error']) - - plotStatErr_muon.SetPointEYhigh(bin_i, centralresult_muon['error']) - plotStatErr_muon.SetPointEYlow(bin_i, centralresult_muon['error']) - - plotStatErr_combined.SetPointEYhigh(bin_i, centralresult_combined['error']) - plotStatErr_combined.SetPointEYlow(bin_i, centralresult_combined['error']) - - - bin_i += 1 - plot_combined.Draw('P') -# gStyle.SetErrorX(0.4) - plotMADGRAPH.Draw('hist same') - gStyle.SetEndErrorSize(20) - plotStatErr_electron.Draw('same P') - plotStatErr_muon.Draw('same P') - plotStatErr_combined.Draw('same P') -# gStyle.SetEndErrorSize(0) - plotAsym_electron.Draw('same P Z') - plotAsym_muon.Draw('same P Z') - plotAsym_combined.Draw('same P Z') - legend.Draw() - mytext = TPaveText(0.5, 0.97, 1, 1.01, "NDC") - channelLabel = TPaveText(0.18, 0.97, 0.5, 1.01, "NDC") - channelLabel.AddText("combined, %s, %s" % ("#geq 4 jets", BjetBinsLatex[bjetbin])) - mytext.AddText("CMS Preliminary, L = %.1f fb^{-1} at #sqrt{s} = 8 TeV" % (5.8)); - - mytext.SetFillStyle(0) - mytext.SetBorderSize(0) - mytext.SetTextFont(42) - mytext.SetTextAlign(13) - - channelLabel.SetFillStyle(0) - channelLabel.SetBorderSize(0) - channelLabel.SetTextFont(42) - channelLabel.SetTextAlign(13) - mytext.Draw() - #channelLabel.Draw() - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - plotting.saveAs(c, 'AllChannels_diff_MET_norm_xsection' + unfolding + '_' + bjetbin, outputFormat_plots, savePath) - -def getMeasurementAndErrors(input_result): - result = {} -# skipErrors = ['PDFWeights_%d' % index for index in range(1, 45)] -# skipErrors.append('central')#skip central value! - for metbin in metbins: - result[metbin] = {} - current = input_result[metbin] - central = current['central'] - result[metbin]['measurement'] = central - uncertainties = calculateTotalUncertainty(current) - result[metbin].update(uncertainties) - - return result - -def saveAsJSON(result, filename): - unfolding = '_unfolded' - if not doBinByBinUnfolding: - unfolding = '' - #remove fit from list - for metbin in metbins: - result[metbin]['measurement']['fit'] = 'cannot encode' - output_file = open(savePath + filename + unfolding + '_' + bjetbin + '_JSON.txt', 'w') - output_file.write(json.dumps(result, indent=4, skipkeys=True)) - output_file.close() - -def getCorrections(analysis): - from purityAndStability_METbins import fileTemplate - inputFileName = fileTemplate % (analysis, bjetbin) - print 'Loading correction factors from:' - print inputFileName - return fileutils.readJSONFile(inputFileName) - -def loadAcceptanceCorrections(analysis): - temp = 'data/acceptanceFactors/acceptanceFactors_%s_2orMoreBtags_JSON.txt' - inputFileName = temp % analysis - print 'Loading acceptance correction factors from:' - print inputFileName - return fileutils.readJSONFile(inputFileName) - -def loadContaminationCorrections(analysis): - temp = 'data/contaminationFactors/contaminationFactors_%s_2orMoreBtags_JSON.txt' - inputFileName = temp % analysis - print 'Loading contamination correction factors from:' - print inputFileName - return fileutils.readJSONFile(inputFileName) - -def setMETSystematics(metType): - global metsystematics_sources, metsystematics_sources_latex - prefix = '' - if metType == 'patMETsPFlow': - prefix = 'patPFMet' - elif metType == 'patType1CorrectedPFMet': - prefix = 'patType1CorrectedPFMet' - else: - prefix = 'patType1p2CorrectedPFMet' - metsystematics_sources = [ - prefix + "ElectronEnUp", - prefix + "ElectronEnDown", - prefix + "MuonEnUp", - prefix + "MuonEnDown", - prefix + "TauEnUp", - prefix + "TauEnDown", - prefix + "JetResUp", - prefix + "JetResDown", - prefix + "JetEnUp", - prefix + "JetEnDown", - prefix + "UnclusteredEnUp", - prefix + "UnclusteredEnDown" - ] - - metsystematics_sources_latex = { - prefix + "ElectronEnUp":'Electron energy $+1\sigma$', - prefix + "ElectronEnDown":'Electron energy $-1\sigma$', - prefix + "MuonEnUp":'Muon energy $+1\sigma$', - prefix + "MuonEnDown":'Muon energy $-1\sigma$', - prefix + "TauEnUp":'Tau energy $+1\sigma$', - prefix + "TauEnDown":'Tau energy $-1\sigma$', - prefix + "JetResUp":'Jet resolution $+1\sigma$', - prefix + "JetResDown":'Jet resolution $-1\sigma$', - prefix + "JetEnUp":'Jet energy $+1\sigma$', - prefix + "JetEnDown":'Jet energy $-1\sigma$', - prefix + "UnclusteredEnUp":'Unclustered energy $+1\sigma$', - prefix + "UnclusteredEnDown":'Unclustered energy $-1\sigma$' - } - -def symmetriseErrors(error1, error2): - if not doSymmetricErrors: - return error1, error2 - - error1, error2 = abs(error1), abs(error2) - if error1 > error2: - return error1, error1 - - return error2, error2 - -if __name__ == '__main__': - DEBUG = False - completeAnalysisTimer = Timer() - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - RooMsgService.instance().setGlobalKillBelow(RooFit.FATAL) - - plotting.setStyle() - - parser = OptionParser() - parser.add_option("-b", "--bjetbin", dest="bjetbin", default='2m', - help="set b-jet multiplicity for analysis. Options: exclusive: 0-3, inclusive (N or more): 0m, 1m, 2m, 3m, 4m") - parser.add_option("-m", "--metType", dest="metType", default='type1', - help="set MET input for analysis.") - parser.add_option("-u", "--unfolding", - action="store_false", dest="unfolding", default=True, - help="use unfolding of MET") - parser.add_option("-r", "--rooFit", - action="store_true", dest="useRooFit", default=False, - help="Use RooFit for fitting") - parser.add_option("-t", "--test", - action="store_true", dest="test", default=False, - help="Test analysis on first met bin only") - parser.add_option("-c", "--constrain", dest="constrain", default=' ', #default='QCD,Z/W', - help="Sets which constrains to use. Constrains separated by commas: QCD, Z/W, ZJets, WJets, VV") - parser.add_option("-a", "--analysisType", dest="analysisType", default='EPlusJets', - help="set analysis type: EPlusJets or MuPlusJets") - #more for: plot templates, plot fits - translateOptions = { - '0':'0btag', - '1':'1btag', - '2':'2btags', - '3':'3btags', - '0m':'0orMoreBtag', - '1m':'1orMoreBtag', - '2m':'2orMoreBtags', - '3m':'3orMoreBtags', - '4m':'4orMoreBtags', - #mettype: - 'pf':'patMETsPFlow', - 'type1':'patType1CorrectedPFMet', - 'type1p2':'patType1p2CorrectedPFMet' - } - - (options, args) = parser.parse_args() - bjetbin = translateOptions[options.bjetbin] - metType = translateOptions[options.metType] - doBinByBinUnfolding = options.unfolding - use_RooFit = options.useRooFit - - setMETSystematics(metType) - - from purityAndStability_METbins import fileTemplate - inputFileName = fileTemplate % ('EPlusJets', bjetbin) - correctionFactors, acceptanceFactors, contaminationFactors = {}, {}, {} -# correctionFactors['EPlusJets'] = getCorrections('EPlusJets') -# correctionFactors['MuPlusJets'] = getCorrections('MuPlusJets') -# acceptanceFactors['EPlusJets'] = loadAcceptanceCorrections('EPlusJets') -# acceptanceFactors['MuPlusJets'] = loadAcceptanceCorrections('MuPlusJets') -# contaminationFactors['EPlusJets'] = loadContaminationCorrections('EPlusJets') -# contaminationFactors['MuPlusJets'] = loadContaminationCorrections('MuPlusJets') - test = options.test - constrains[qcdLabel]['enabled'] = ('QCD' in options.constrain) - constrains['ratio_Z_W']['enabled'] = ('Z/W' in options.constrain) - constrains['W+Jets']['enabled'] = ('WJets' in options.constrain) - constrains['DYJetsToLL']['enabled'] = ('ZJets' in options.constrain) -# constrains['Di-Boson']['enabled'] = ('VV' in options.constrain) - - savePath = "/storage/results/plots/AN-13-015_V1/DiffMETMeasurement/unfolding/%s/" % metType - if test: - metbins = ['25-45'] - savePath = "/storage/results/plots/testing2/%s/" % metType - if use_RooFit: - savePath = "/storage/results/plots/testing/%s/" % metType -# savePath = "/storage/results/plots/testing2/%s/" % metType -# doBinByBinUnfolding = True - print colorstr('Analysis options:', 'DARK_RED') - print colorstr('B-tag bin:', 'RED'), bjetbin - print colorstr('MET type:', 'RED'), metType - print colorstr('Use unfolding:', 'RED'), doBinByBinUnfolding - print colorstr('Test only:', 'RED'), test - print colorstr('Using RooFit:', 'RED'), use_RooFit - print 'Constrains on fit:', options.constrain - for sample, constrain in constrains.iteritems(): - print sample, ': enabled = ' + str(constrain['enabled']) + ', value = ' + str(constrain['value'] * 100) + '%' - print 'Results will be saved to:' - print savePath - - normalisation_result_electron, normalisation_result_muon, normalisation_result_combined, normalisation_result_simultaniousFit = NormalisationAnalysis() - - printNormalisationResult(normalisation_result_electron, 'EPlusJets') - printNormalisationResultsForTTJetWithUncertanties(normalisation_result_electron, 'EPlusJets') - plotNormalisationResults(normalisation_result_electron, 'EPlusJets') - - printNormalisationResult(normalisation_result_muon, 'MuPlusJets') - printNormalisationResultsForTTJetWithUncertanties(normalisation_result_muon, 'MuPlusJets') - plotNormalisationResults(normalisation_result_muon, 'MuPlusJets') - - printNormalisationResult(normalisation_result_combined, 'Combination') - printNormalisationResultsForTTJetWithUncertanties(normalisation_result_combined, 'Combination') -# plotNormalisationResults(normalisation_result_combined, 'Combination') - - crosssection_result_electron = CrossSectionAnalysis(normalisation_result_electron, 'EPlusJets') - printCrossSectionResult(crosssection_result_electron, 'EPlusJets') - printCrossSectionResultsForTTJetWithUncertanties(crosssection_result_electron, 'EPlusJets') - plotCrossSectionResults(crosssection_result_electron, 'EPlusJets') - plotCrossSectionResults(crosssection_result_electron, 'EPlusJets', compareToSystematic=True) - - crosssection_result_muon = CrossSectionAnalysis(normalisation_result_muon, 'MuPlusJets') - printCrossSectionResult(crosssection_result_muon, 'MuPlusJets') - printCrossSectionResultsForTTJetWithUncertanties(crosssection_result_muon, 'MuPlusJets') - plotCrossSectionResults(crosssection_result_muon, 'MuPlusJets') - plotCrossSectionResults(crosssection_result_muon, 'MuPlusJets', compareToSystematic=True) - - crosssection_result_combined = CrossSectionAnalysis(normalisation_result_combined, 'Combination') - printCrossSectionResult(crosssection_result_combined, 'Combination') - printCrossSectionResultsForTTJetWithUncertanties(crosssection_result_combined, 'Combination') - plotCrossSectionResults(crosssection_result_combined, 'Combination') - plotCrossSectionResults(crosssection_result_combined, 'Combination', compareToSystematic=True) -# - gStyle.SetTitleYOffset(1.6) - gStyle.SetPadLeftMargin(0.18) - gStyle.SetTitleXOffset(1.0) - normalised_crosssection_result_electron = NormalisedCrossSectionAnalysis(normalisation_result_electron) - printNormalisedCrossSectionResult(normalised_crosssection_result_electron, 'EPlusJets') - printNormalisedCrossSectionResultsForTTJetWithUncertanties(normalised_crosssection_result_electron, 'EPlusJets') - plotNormalisedCrossSectionResults(normalised_crosssection_result_electron, 'EPlusJets') - plotNormalisedCrossSectionResults(normalised_crosssection_result_electron, 'EPlusJets', compareToSystematic=True) -# - normalised_crosssection_result_muon = NormalisedCrossSectionAnalysis(normalisation_result_muon) - printNormalisedCrossSectionResult(normalised_crosssection_result_muon, 'MuPlusJets') - printNormalisedCrossSectionResultsForTTJetWithUncertanties(normalised_crosssection_result_muon, 'MuPlusJets') - plotNormalisedCrossSectionResults(normalised_crosssection_result_muon, 'MuPlusJets') - plotNormalisedCrossSectionResults(normalised_crosssection_result_muon, 'MuPlusJets', compareToSystematic=True) - - normalised_crosssection_result_combined = NormalisedCrossSectionAnalysis(normalisation_result_combined) - printNormalisedCrossSectionResult(normalised_crosssection_result_combined, 'Combination') - printNormalisedCrossSectionResultsForTTJetWithUncertanties(normalised_crosssection_result_combined, 'Combination') - plotNormalisedCrossSectionResults(normalised_crosssection_result_combined, 'Combination') - plotNormalisedCrossSectionResults(normalised_crosssection_result_combined, 'Combination', compareToSystematic=True) - - plotNormalisedCrossSectionResultsAllChannels(normalised_crosssection_result_electron, normalised_crosssection_result_muon, normalised_crosssection_result_combined) - - saveAsJSON(result=getMeasurementAndErrors(normalisation_result_electron), filename="EPlusJets_normalisation_result") - saveAsJSON(result=getMeasurementAndErrors(crosssection_result_electron), filename="EPlusJets_crosssection_result") - saveAsJSON(result=getMeasurementAndErrors(normalised_crosssection_result_electron), filename="EPlusJets_normalised_crosssection_result") - - saveAsJSON(result=getMeasurementAndErrors(normalisation_result_muon), filename="MuPlusJets_normalisation_result") - saveAsJSON(result=getMeasurementAndErrors(crosssection_result_muon), filename="MuPlusJets_crosssection_result") - saveAsJSON(result=getMeasurementAndErrors(normalised_crosssection_result_muon), filename="MuPlusJets_normalised_crosssection_result") - print 'Complete Analysis in bjetbin=', bjetbin, 'finished in %.2fs' % completeAnalysisTimer.elapsedTime() - - diff --git a/scripts/plots/muPlusJets/GenJetHT_vs_GenParton_1btag.png b/scripts/plots/muPlusJets/GenJetHT_vs_GenParton_1btag.png deleted file mode 100644 index bce869fc9acc2955536708d5f6367e590bd7e956..0000000000000000000000000000000000000000 GIT binary patch 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zx&oKttzFmM{MX&CS9hYtS~l0-6wO$1qBfs5^*-aF;OCC{;`_GDHgt@J=z=b~Yh$&& z+7?mvB~Dr0Nwc!bOVOmFp7~!>=Pm0_lxKfQB6N02hLL0gH&wLf&DPdc|VkKA4-^LjTSbt&H{!bmmzrIE{ a=ny#jRrG1^gPp_d7mcmXmm6Na`+op0O!1Qd diff --git a/scripts/printCutFlow.py b/scripts/printCutFlow.py deleted file mode 100644 index 56466fcd..00000000 --- a/scripts/printCutFlow.py +++ /dev/null @@ -1,151 +0,0 @@ -''' -Created on Dec 1, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch - -The AnalysisTools produce a 2D histogram with the cut flow for each sample which is saved in the histogram file -First dimension is the cut-stage, second dimension the jet-bin (== 1, ==2, ==3, >=4) - -printCutFlow reads 2D histogram -outputFormat = CSV|plain|twiki|latex -''' - -from __future__ import division -from ROOT import * -import tools.ROOTFileReader as FileReader -import tools.PlottingUtilities as plotting -import FILES -from math import sqrt -import QCDRateEstimation - -cuts = None -cuts_electrons = [ - "Skim", # - "Event cleaning and HLT", # - "Electron", # - "Muon Veto", # - "Electron veto", # - "Conversion veto", # - "$\geq 3$ jets", # - "$\geq 4$ jets", # - "$\geq 1$ CSV b-tag", # - "$\geq 2$ CSV b-tag" # - ] - -cuts_muons = [ - "Skim", # - "Event cleaning and HLT", # - "Muon", # - "Electron veto", # - "Muon Veto", # - "$\geq 3$ jets", # - "$\geq 4$ jets", # - "$\geq 1$ CSV b-tag", # - "$\geq 2$ CSV b-tag" # - ] - -def printCutFlow(hist, analysis, outputFormat='Latex'): - scale_ttbar = 164.4 / 157.5 - used_data = 'ElectronHad' - lepton = 'Electron/electron' - if 'Mu' in analysis: - used_data = 'SingleMu' - lepton = 'Muon/muon' - hist_1mBtag = 'TTbarPlusMetAnalysis/' + analysis + '/Ref selection/' + lepton + '_AbsEta_1orMoreBtag' - hist_2mBtag = 'TTbarPlusMetAnalysis/' + analysis + '/Ref selection/' + lepton + '_AbsEta_2orMoreBtags' - hist_names = [hist, #due to b-tag scale factors these are not as simple any more - hist_1mBtag, - hist_2mBtag - ] - inputfiles = {} - for sample in FILES.samplesToLoad: - inputfiles[sample] = FILES.files[sample] - hists = FileReader.getHistogramsFromFiles(hist_names, inputfiles) - for sample in hists.keys(): - for histname in hists[sample].keys(): - hists[sample][histname].Sumw2() - if analysis == 'EPlusJets': - hists['QCD'] = plotting.sumSamples(hists, plotting.qcd_samples) - else: - hists['QCD'] = hists['QCD_Pt-20_MuEnrichedPt-15'] - - hists['SingleTop'] = plotting.sumSamples(hists, plotting.singleTop_samples) - hists['Di-Boson'] = plotting.sumSamples(hists, plotting.diboson_samples) - hists['W+Jets'] = plotting.sumSamples(hists, plotting.wplusjets_samples) -# hists['SumMC'] = plotting.sumSamples(hists, plotting.allMC_samples) - - header = "| Step | TTJet | W+jets | DY + Jets | single top | Di-boson | QCD | Sum MC | Data |" - row = " | %s | %d +- %d | %d +- %d | %d +- %d | %d +- %d | %d +- %d | %d +- %d | %d +- %d | %d | " - if outputFormat == 'Latex': - header = "Selection step & \\ttbar & W + Jets & Z + Jets & Single-top & Di-boson & QCD~ & Sum MC & Data\\\\" - row = " %s & $%d \pm %d$ & $%d \pm %d$ & $%d \pm %d$ & $%d \pm %d$ & $%d \pm %d$ & $%d \pm %d$ & $%d \pm %d$ & %d \\\\ " - print header - - numbers, errors = getEventNumbers(hists, hist, hist_1mBtag, hist_2mBtag)# + '_0orMoreBtag') - - - for step in range(len(cuts)): - nums = numbers[step] - errs = errors[step] - nums['TTJet'] = nums['TTJet'] * scale_ttbar - errs['TTJet'] = errs['TTJet'] * scale_ttbar - if analysis == 'EPlusJets' and step >= len(cuts) - 3:#have only estimates for >= 4 jet and beyond - histForEstimation = 'TTbarPlusMetAnalysis/EPlusJets/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03_0orMoreBtag' - if step == len(cuts) - 2: - histForEstimation = 'TTbarPlusMetAnalysis/EPlusJets/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03_1orMoreBtag' - if step == len(cuts) - 1: - histForEstimation = 'TTbarPlusMetAnalysis/EPlusJets/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03_2orMoreBtags' - estimate = QCDRateEstimation.estimateQCDWithRelIso(FILES.files, histForEstimation) - nums['QCD'], errs['QCD'] = estimate['estimate'], estimate['absoluteError'] - if analysis == 'MuPlusJets' and step >= len(cuts) - 3:#have only estimates for >= 4 jet and beyond - scale = 1.21 - nums['QCD'], errs['QCD'] = nums['QCD'] * scale, errs['QCD'] * scale - - sumMC = nums['TTJet'] + nums['W+Jets'] + nums['DYJetsToLL'] + nums['SingleTop'] + nums['QCD'] + nums['Di-Boson'] - sumMC_err = sqrt(errs['TTJet'] ** 2 + errs['W+Jets'] ** 2 + errs['DYJetsToLL'] ** 2 + errs['SingleTop'] ** 2 + errs['QCD'] ** 2 + errs['Di-Boson'] ** 2) - print row % (cuts[step], nums['TTJet'], errs['TTJet'], nums['W+Jets'], errs['W+Jets'], nums['DYJetsToLL'], errs['DYJetsToLL'], - nums['SingleTop'], errs['SingleTop'], nums['Di-Boson'], errs['Di-Boson'], nums['QCD'], errs['QCD'], sumMC, sumMC_err, nums[used_data]) - -def getEventNumbers(hists, histname, hist_1mBtag, hist_2mBtag): - eventNumbers = [] - errorValues = [] - for step in range(len(cuts)): - events = {} - errors = {} - for sample in hists.keys(): - events[sample] = hists[sample][histname].GetBinContent(step + 1) - errors[sample] = hists[sample][histname].GetBinError(step + 1) - if step == len(cuts) - 2: - events[sample] = hists[sample][hist_1mBtag].Integral() - entries = hists[sample][hist_1mBtag].GetEntries() - if not entries == 0: - errors[sample] = sqrt(entries) / entries * events[sample] - else: - errors[sample] = 0 - if step == len(cuts) - 1: - events[sample] = hists[sample][hist_2mBtag].Integral() - entries = hists[sample][hist_2mBtag].GetEntries() - if not entries == 0: - errors[sample] = sqrt(entries) / entries * events[sample] - else: - errors[sample] = 0 - eventNumbers.append(events) - errorValues.append(errors) - return eventNumbers, errorValues - - -if __name__ == "__main__": - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - cuts = cuts_electrons - print '=' * 120 - print 'TTbarEplusJetsRefSelection' - printCutFlow('EventCount/TTbarEplusJetsRefSelection', 'EPlusJets') - print '=' * 120 - cuts = cuts_muons - print '=' * 120 - print 'TTbarMuPlusJetsRefSelection' - printCutFlow('EventCount/TTbarMuPlusJetsRefSelection', 'MuPlusJets') - print '=' * 120 diff --git a/scripts/printNTupleContent.py b/scripts/printNTupleContent.py deleted file mode 100644 index 5759ad93..00000000 --- a/scripts/printNTupleContent.py +++ /dev/null @@ -1,7 +0,0 @@ -''' -Created on Jan 4, 2012 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' diff --git a/scripts/purityAndStability_METbins.py b/scripts/purityAndStability_METbins.py deleted file mode 100644 index 756b8150..00000000 --- a/scripts/purityAndStability_METbins.py +++ /dev/null @@ -1,199 +0,0 @@ -''' -Created on Aug 1, 2012 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' - -import FILES -import tools.ROOTFileReader as FileReader -from ROOT import gROOT -import tools.FileUtilities as FileUtils - -fileTemplate = 'data/correctionFactors/correctionFactors_%s_%s_JSON.txt' -samples = [ - 'TTJet', - 'POWHEG', - 'PYTHIA6', - 'MCatNLO', - 'TTJets-matchingdown', - 'TTJets-matchingup', - 'TTJets-scaledown', - 'TTJets-scaleup', - ] - -metbins = [ - '0-25', - '25-45', - '45-70', - '70-100', - '100-inf' - ] - -metTypes = ['patMETsPFlow', 'patType1CorrectedPFMet', 'patType1p2CorrectedPFMet' ] -metsystematics_sources = [ - "patType1p2CorrectedPFMetElectronEnUp", - "patType1p2CorrectedPFMetElectronEnDown", - "patType1p2CorrectedPFMetMuonEnUp", - "patType1p2CorrectedPFMetMuonEnDown", - "patType1p2CorrectedPFMetTauEnUp", - "patType1p2CorrectedPFMetTauEnDown", - "patType1p2CorrectedPFMetJetResUp", - "patType1p2CorrectedPFMetJetResDown", - "patType1p2CorrectedPFMetJetEnUp", - "patType1p2CorrectedPFMetJetEnDown", - "patType1p2CorrectedPFMetUnclusteredEnUp", - "patType1p2CorrectedPFMetUnclusteredEnDown", - "patType1CorrectedPFMetElectronEnUp", - "patType1CorrectedPFMetElectronEnDown", - "patType1CorrectedPFMetMuonEnUp", - "patType1CorrectedPFMetMuonEnDown", - "patType1CorrectedPFMetTauEnUp", - "patType1CorrectedPFMetTauEnDown", - "patType1CorrectedPFMetJetResUp", - "patType1CorrectedPFMetJetResDown", - "patType1CorrectedPFMetJetEnUp", - "patType1CorrectedPFMetJetEnDown", - "patType1CorrectedPFMetUnclusteredEnUp", - "patType1CorrectedPFMetUnclusteredEnDown", - "patPFMetElectronEnUp", - "patPFMetElectronEnDown", - "patPFMetMuonEnUp", - "patPFMetMuonEnDown", - "patPFMetTauEnUp", - "patPFMetTauEnDown", - "patPFMetJetResUp", - "patPFMetJetResDown", - "patPFMetJetEnUp", - "patPFMetJetEnDown", - "patPFMetUnclusteredEnUp", - "patPFMetUnclusteredEnDown", - ] -metTypes.extend(metsystematics_sources) - -def getMETVariablesFrom2DPlot(analysisType, sample, metType, bjetbin): - hist = 'TTbarPlusMetAnalysis/' + analysisType + '/Ref selection/MET/%s/RecoMET_vs_GenMET_%s' % (metType, bjetbin) - correctionFactors = {} - purities = {} - stabilities = {} - numberOfGenEvents = {} - numberOfRecoEvents = {} - recoMETvsGenMET = FileReader.getHistogramFromFile(hist, FILES.files[sample]) - for metbin in metbins: - lowerLimit, upperLimit = metbin.split('-') - lowerLimit, upperLimit = float(lowerLimit), float(upperLimit) - lowerXbin = recoMETvsGenMET.GetXaxis().FindBin(lowerLimit + 0.001) - lowerYbin = recoMETvsGenMET.GetYaxis().FindBin(lowerLimit + 0.001) - upperXbin, upperYbin = 0,0 - overflowX, overflowY = recoMETvsGenMET.GetNbinsX()+1, recoMETvsGenMET.GetNbinsY()+1 - if not upperLimit == 'inf': - upperXbin = recoMETvsGenMET.GetXaxis().FindBin(upperLimit - 0.001) - upperYbin = recoMETvsGenMET.GetYaxis().FindBin(upperLimit - 0.001) - else: - upperXbin = overflowX - upperYbin = overflowY - - N_reco = recoMETvsGenMET.Integral(0, overflowX, lowerYbin, upperYbin) - N_gen = recoMETvsGenMET.Integral(lowerXbin, upperXbin, 0, overflowY) - nRecoPlusnGen = recoMETvsGenMET.Integral(lowerXbin, upperXbin, lowerYbin, upperYbin) - purity = nRecoPlusnGen/N_reco - stability = nRecoPlusnGen/N_gen - correctionFactor = N_gen/N_reco - correctionFactors[metbin] = correctionFactor - purities[metbin] = purity - stabilities[metbin] = stability - numberOfGenEvents[metbin] = N_gen - numberOfRecoEvents[metbin] = N_reco - result = { - 'correctionFactors': correctionFactors, - 'purities': purities, - 'stabilities': stabilities, - 'numberOfGenEvents': numberOfGenEvents, - 'numberOfRecoEvents':numberOfRecoEvents - } - return result - -def getMETVariables(analysisType, sample, metType, bjetbin): - base = 'TTbarPlusMetAnalysis/' + analysisType + '/Ref selection/BinnedMETAnalysis/' - analyser = 'Electron_%s_bin_%s/electron_AbsEta_%s' - if 'Mu' in analysisType: - analyser = 'Muon_%s_bin_%s/muon_AbsEta_%s' - correctionFactors = {} - purities = {} - stabilities = {} - numberOfGenEvents = {} - numberOfRecoEvents = {} - for metbin in metbins: - genMET = base + analyser % ('GenMET', metbin, bjetbin) - PFMET = base + analyser % (metType, metbin, bjetbin) - genMETs = FileReader.getHistogramFromFile(genMET, FILES.files[sample]) - PFMETs = FileReader.getHistogramFromFile(PFMET, FILES.files[sample]) - N_gen = genMETs.Integral() - N_reco = PFMETs.Integral() - purity = (N_gen + N_reco) / N_reco - stability = (N_gen + N_reco) / N_gen - correctionFactor = N_gen / N_reco - - correctionFactors[metbin] = correctionFactor - purities[metbin] = purity - stabilities[metbin] = stability - numberOfGenEvents[metbin] = N_gen - numberOfRecoEvents[metbin] = N_reco - result = { - 'correctionFactors': correctionFactors, - 'purities': purities, - 'stabilities': stabilities, - 'numberOfGenEvents': numberOfGenEvents, - 'numberOfRecoEvents':numberOfRecoEvents - } - return result - -def saveToFile(correctionFactors, analysisType, bjetbin): - stringForFile = '' - fileName = fileTemplate % (analysisType, bjetbin) - stringForFile += str(correctionFactors) + '\n' - import json - stringForFile = json.dumps(correctionFactors, sort_keys=True, indent=4) - FileUtils.writeStringToFile(stringForFile, fileName) - - -if __name__ == "__main__": - from optparse import OptionParser - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - - - parser = OptionParser() - parser.add_option("-b", "--bjetbin", dest="bjetbin", default='2m', - help="set b-jet multiplicity for analysis. Options: exclusive: 0-3, inclusive (N or more): 0m, 1m, 2m, 3m, 4m") - parser.add_option("-a", "--analysisType", dest="analysisType", default='EPlusJets', - help="set analysis type: EPlusJets or MuPlusJets") - parser.add_option("-t", "--test", - action="store_true", dest="test", default=False, - help="Run test") - translateOptions = { - '0':'0btag', - '1':'1btag', - '2':'2btags', - '3':'3btags', - '0m':'0orMoreBtag', - '1m':'1orMoreBtag', - '2m':'2orMoreBtags', - '3m':'3orMoreBtags', - '4m':'4orMoreBtags', - } - - (options, args) = parser.parse_args() - bjetbin = translateOptions[options.bjetbin] - analysisType = options.analysisType - - correctionFactors = {} - for sample in samples: - correctionFactors[sample] = {} - for metType in metTypes: -# variables = getMETVariables(analysisType, sample, metType, bjetbin) - variables = getMETVariablesFrom2DPlot(analysisType, sample, metType, bjetbin) - correctionFactors[sample][metType] = variables['correctionFactors'] - saveToFile(correctionFactors, analysisType, bjetbin) - diff --git a/scripts/purityAndStability_METbins_V0.py b/scripts/purityAndStability_METbins_V0.py deleted file mode 100644 index d74d3b56..00000000 --- a/scripts/purityAndStability_METbins_V0.py +++ /dev/null @@ -1,163 +0,0 @@ -''' -Created on Aug 1, 2012 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' - -import FILES -import tools.ROOTFileReader as FileReader -from ROOT import gROOT - -fileTemplate = 'data/correctionFactors/correctionFactors_%s_%s_JSON.txt' -samples = [ - 'TTJet', - 'POWHEG', - 'PYTHIA6', - 'MCatNLO', - 'TTJets-matchingdown', - 'TTJets-matchingup', - 'TTJets-scaledown', - 'TTJets-scaleup', - ] - -metbins = [ - '0-25', - '25-45', - '45-70', - '70-100', - '100-inf' - ] - -metTypes = ['PFMET', 'patType1CorrectedPFMet', 'patType1p2CorrectedPFMet' ] -metsystematics_sources = [ - "patType1p2CorrectedPFMetElectronEnUp", - "patType1p2CorrectedPFMetElectronEnDown", - "patType1p2CorrectedPFMetMuonEnUp", - "patType1p2CorrectedPFMetMuonEnDown", - "patType1p2CorrectedPFMetTauEnUp", - "patType1p2CorrectedPFMetTauEnDown", - "patType1p2CorrectedPFMetJetResUp", - "patType1p2CorrectedPFMetJetResDown", - "patType1p2CorrectedPFMetJetEnUp", - "patType1p2CorrectedPFMetJetEnDown", - "patType1p2CorrectedPFMetUnclusteredEnUp", - "patType1p2CorrectedPFMetUnclusteredEnDown", - "patType1CorrectedPFMetElectronEnUp", - "patType1CorrectedPFMetElectronEnDown", - "patType1CorrectedPFMetMuonEnUp", - "patType1CorrectedPFMetMuonEnDown", - "patType1CorrectedPFMetTauEnUp", - "patType1CorrectedPFMetTauEnDown", - "patType1CorrectedPFMetJetResUp", - "patType1CorrectedPFMetJetResDown", - "patType1CorrectedPFMetJetEnUp", - "patType1CorrectedPFMetJetEnDown", - "patType1CorrectedPFMetUnclusteredEnUp", - "patType1CorrectedPFMetUnclusteredEnDown", - "patPFMetElectronEnUp", - "patPFMetElectronEnDown", - "patPFMetMuonEnUp", - "patPFMetMuonEnDown", - "patPFMetTauEnUp", - "patPFMetTauEnDown", - "patPFMetJetResUp", - "patPFMetJetResDown", - "patPFMetJetEnUp", - "patPFMetJetEnDown", - "patPFMetUnclusteredEnUp", - "patPFMetUnclusteredEnDown", - ] -metTypes.extend(metsystematics_sources) - - -def getMETVariables(analysisType, sample, metType, bjetbin): - base = 'TTbarPlusMetAnalysis/' + analysisType + '/Ref selection/BinnedMETAnalysis/' - analyser = 'Electron_%s_bin_%s/electron_AbsEta_%s' - if 'Mu' in analysisType: - analyser = 'Muon_%s_bin_%s/muon_AbsEta_%s' - correctionFactors = {} - purities = {} - stabilities = {} - numberOfGenEvents = {} - numberOfRecoEvents = {} - for metbin in metbins: - genMET = base + analyser % ('GenMET', metbin, bjetbin) - PFMET = base + analyser % (metType, metbin, bjetbin) - genMETs = FileReader.getHistogramFromFile(genMET, FILES.files[sample]) - PFMETs = FileReader.getHistogramFromFile(PFMET, FILES.files[sample]) - N_gen = genMETs.Integral() - N_reco = PFMETs.Integral() - purity = (N_gen + N_reco) / N_reco - stability = (N_gen + N_reco) / N_gen - correctionFactor = N_gen / N_reco - - correctionFactors[metbin] = correctionFactor - purities[metbin] = purity - stabilities[metbin] = stability - numberOfGenEvents[metbin] = N_gen - numberOfRecoEvents[metbin] = N_reco - result = { - 'correctionFactors': correctionFactors, - 'purities': purities, - 'stabilities': stabilities, - 'numberOfGenEvents': numberOfGenEvents, - 'numberOfRecoEvents':numberOfRecoEvents - } - return result - -def saveToFile(correctionFactors, analysisType, bjetbin): - stringForFile = '' - fileName = fileTemplate % (analysisType, bjetbin) - stringForFile += str(correctionFactors) + '\n' - import json - stringForFile = json.dumps(correctionFactors, sort_keys=True, indent=4) - outputFile = open(fileName, 'w') - outputFile.write(stringForFile) - outputFile.close() - - -if __name__ == "__main__": - from optparse import OptionParser - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - - - parser = OptionParser() - parser.add_option("-b", "--bjetbin", dest="bjetbin", default='2m', - help="set b-jet multiplicity for analysis. Options: exclusive: 0-3, inclusive (N or more): 0m, 1m, 2m, 3m, 4m") - parser.add_option("-a", "--analysisType", dest="analysisType", default='EPlusJets', - help="set analysis type: EPlusJets or MuPlusJets") - parser.add_option("-t", "--test", - action="store_true", dest="test", default=False, - help="Run test") - translateOptions = { - '0':'0btag', - '1':'1btag', - '2':'2btags', - '3':'3btags', - '0m':'0orMoreBtag', - '1m':'1orMoreBtag', - '2m':'2orMoreBtags', - '3m':'3orMoreBtags', - '4m':'4orMoreBtags', - } - - (options, args) = parser.parse_args() - bjetbin = translateOptions[options.bjetbin] - analysisType = options.analysisType -# base = 'TTbarPlusMetAnalysis/' + analysisType + '/Ref selection/BinnedMETAnalysis/' - -# bjetbin = '2orMoreBtags' -# bjetbins = ['0orMoreBtags', '1orMoreBtags', '2orMoreBtags'] -# metType = 'PFMET' - - correctionFactors = {} - for sample in samples: - correctionFactors[sample] = {} - for metType in metTypes: - variables = getMETVariables(analysisType, sample, metType, bjetbin) - correctionFactors[sample][metType] = variables['correctionFactors'] - saveToFile(correctionFactors, analysisType, bjetbin) - diff --git a/scripts/purityAndStability_METbins_old.py b/scripts/purityAndStability_METbins_old.py deleted file mode 100644 index 1beae0c1..00000000 --- a/scripts/purityAndStability_METbins_old.py +++ /dev/null @@ -1,165 +0,0 @@ -''' -Created on Aug 1, 2012 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' -from tools import Styles -import FILES -import tools.ROOTFileReader as FileReader - -from ROOT import * -#import HistGetter -#import HistPlotter -#import inputFiles -from array import* -import os - -samples = [ - 'TTJet', -# 'POWHEG', -# 'PYTHIA6', -# 'MCatNLO' - ] - -metBins = [ - '0-24', - '25-44', - '45-69', - '70-99', - '100-inf' - ] - -metTypes = [ -# 'patMETsPFlow', - 'patType1CorrectedPFMet', -# 'patType1p2CorrectedPFMet' - ] - -bJetBins = [ -# '0btag', -# '0orMoreBtag', -# '1btag', -# '1orMoreBtag', - '2orMoreBtags' - ] - -outputFolder = "/storage/phjaj/Plots/" #REMEMBER TO CHANGE -outputFolder = "/storage/results/plots/" #REMEMBER TO CHANGE -#saveAs = HistPlotter.saveAs - -if __name__ == "__main__": - base = 'TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/' - base = 'TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/' -# base = "METAnalysis/" - - - gROOT.Reset() - gROOT.ForceStyle() - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 5001;') - - tdrStyle = Styles.tdrStyle() - - gStyle.SetOptStat(0) - - for sample in samples: - path = outputFolder + base + sample -# if not os.path.exists(path): -# os.makedirs(path) -# print 'Sample = ', sample -# outputFile = open(path + "/outputFile_" + str(sample) + ".txt", "w") - for metType in metTypes: - for bJetBin in bJetBins: - histFile = base + metType + "/RecoMET_vs_GenMET_" + bJetBin - print histFile - hist = FileReader.getHistogramFromFile(histFile, FILES.files[sample]) - print "Plotting..." - print "hist = ", hist - title1 = TPaveText(0.15, 0.965, 0.4, 1.01, "NDC") - title1.SetFillStyle(0) - title1.SetBorderSize(0) - title1.SetTextFont(42) - title1.SetTextAlign(13) - - title2 = TPaveText(0.5, 0.97, 1, 1.01, "NDC") - title2.SetFillStyle(0) - title2.SetBorderSize(0) - title2.SetTextFont(42) - title2.SetTextAlign(13) - -# bJetBinTitles = {'0btag':'0 b-tags', '0orMoreBtag':'#geq0 b-tags', '1btag':'1 b-tags', '1orMoreBtag':'#geq1 b-tags', '2orMoreBtags':'#geq2 b-tags'} -# title1.AddText("e, #geq4 jets, #geq2 b-tags") - title1.AddText("#mu, #geq4 jets, #geq2 b-tags") - title2.AddText("CMS Simulation, L = 5.1fb^{-1} at #sqrt{s} = 7 TeV") - - hist.GetXaxis().SetTitle("generated MET [GeV]") - hist.GetYaxis().SetTitle("reconstructed MET [GeV]") - hist.SetTitle("") - -# metBins = {0:[0, 24], 1:[25, 44], 2:[45, 69], 3:[70, 99], 4:[100, "inf"]} -# -# for c in range (len(metBins)): -# cutBinX1 = hist.GetXaxis().FindBin(metBins[c][0]) -# cutBinY1 = hist.GetYaxis().FindBin(metBins[c][0]) -# if metBins[c][1] != "inf": -# cutBinX2 = hist.GetXaxis().FindBin(metBins[c][1]) -# cutBinY2 = hist.GetYaxis().FindBin(metBins[c][1]) -# elif metBins[c][1] == "inf": -# cutBinX2 = hist.GetNbinsX()+1 -# cutBinY2 = hist.GetNbinsY()+1 -# -# nReco = hist.Integral(0, hist.GetNbinsX()+1, cutBinY1, cutBinY2) -# nGen = hist.Integral(cutBinX1, cutBinX2, 0, hist.GetNbinsY()+1) -# nRecoPlusnGen = hist.Integral(cutBinX1, cutBinX2, cutBinY1, cutBinY2) -# -# purity = nRecoPlusnGen/nReco -# stability = nRecoPlusnGen/nGen -# correctionFactor1 = nGen/nReco -# correctionFactor2 = purity/stability -# -# outputFile.write("mettype = " + metType + "\n") -# outputFile.write("bin: " + str(metBins[c]) + "\n") -# outputFile.write("purity = " + str(purity) + "\n") -# outputFile.write("stability = " + str(stability) + "\n") -# outputFile.write("correctionFactor1 = nGen/nReco = " + str(correctionFactor1) + "\n") -# outputFile.write("correctionFactor2 = purity/stability = " + str(correctionFactor2) + "\n") -# -# if metType == "patType1p2CorrectedPFMet": -# bJetStart = 55 -# elif metType == "patType1CorrectedPFMet": -# bJetStart = 53 -# elif metType == "patMETsPFlow": -# bJetStart = 43 -# -# outputFile.write(histFile[bJetStart:] + " nReco = " + str(nReco) + "\n") -# outputFile.write(histFile[bJetStart:] + " nGen = " + str(nGen) + "\n") -# outputFile.write(histFile[bJetStart:] + " nRecoPlusnGen = " + str(nRecoPlusnGen) + "\n\n") - - canvas = TCanvas("canvas", "canvas", 1600, 1200) - #canvas.SetRightMargin(0.04) - outputFilename = histFile - hist.Draw("COLZ") - title1.Draw() - title2.Draw() - print "Saving canvas", path + "/" + metType + "_RecoMET_vs_GenMET_" + bJetBin + ".root" - canvas.SaveAs(path + "/" + metType + "_RecoMET_vs_GenMET_" + bJetBin + "_withoutMETbinLines.pdf") - - lineX1 = TLine(25, 0, 25, 300) - lineX1.Draw() - lineX2 = TLine(45, 0, 45, 300) - lineX2.Draw() - lineX3 = TLine(70, 0, 70, 300) - lineX3.Draw() - lineX4 = TLine(100, 0, 100, 300) - lineX4.Draw() - lineY1 = TLine(0, 25, 300, 25) - lineY1.Draw() - lineY2 = TLine(0, 45, 300, 45) - lineY2.Draw() - lineY3 = TLine(0, 70, 300, 70) - lineY3.Draw() - lineY4 = TLine(0, 100, 300, 100) - lineY4.Draw() - canvas.SaveAs(path + "/" + metType + "_RecoMET_vs_GenMET_" + bJetBin + "_withMETbinLines.pdf") diff --git a/scripts/roofittest2.py b/scripts/roofittest2.py deleted file mode 100644 index 9041e0a8..00000000 --- a/scripts/roofittest2.py +++ /dev/null @@ -1,136 +0,0 @@ -''' -Created on Aug 18, 2012 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' -#from ROOT import * -from ROOT import RooRealVar, RooDataHist, RooArgList, RooHistPdf, RooArgSet, RooAddPdf, RooMCStudy, RooFit -import tools.ROOTFileReader as FileReader -import FILES -from math import sqrt - -distribution = "TTbarPlusMetAnalysis/MuPlusJets/Ref selection/BinnedMETAnalysis/Muon_PFMET_bin_0-25/muon_AbsEta_2orMoreBtags" -qcdDistribution = "TTbarPlusMetAnalysis/MuPlusJets/QCD non iso mu+jets/BinnedMETAnalysis/Muon_PFMET_bin_0-25/muon_AbsEta_0btag" -qcdDistribution2 = qcdDistribution -data_file = 'SingleMu' -#qcdDistribution = "TTbarPlusMetAnalysis/EPlusJets/QCDConversions/BinnedMETAnalysis/Electron_PFMET_bin_0-25/electron_AbsEta_0btag" -#qcdDistribution2 = "TTbarPlusMetAnalysis/EPlusJets/QCD non iso e+jets/BinnedMETAnalysis/Electron_PFMET_bin_0-25/electron_AbsEta_0btag" -#data_file = 'ElectronHad' -h_data = FileReader.getHistogramFromFile(distribution, FILES.files[data_file]) -temp_tt = FileReader.getHistogramFromFile(distribution, FILES.files['TTJet']) -temp_wj = FileReader.getHistogramFromFile(distribution, FILES.files['W1Jet']) -temp_wj.Add(FileReader.getHistogramFromFile(distribution, FILES.files['W2Jets'])) -temp_wj.Add(FileReader.getHistogramFromFile(distribution, FILES.files['W3Jets'])) -temp_wj.Add(FileReader.getHistogramFromFile(distribution, FILES.files['W4Jets'])) -temp_zj = FileReader.getHistogramFromFile(distribution, FILES.files['DYJetsToLL']) -temp_qcd = FileReader.getHistogramFromFile(qcdDistribution, FILES.files[data_file]) -temp_qcd2 = FileReader.getHistogramFromFile(qcdDistribution2, FILES.files[data_file]) -temp_stop = FileReader.getHistogramFromFile(distribution, FILES.files['T_tW-channel']) -temp_stop.Add(FileReader.getHistogramFromFile(distribution, FILES.files['T_t-channel'])) -temp_stop.Add(FileReader.getHistogramFromFile(distribution, FILES.files['T_s-channel'])) -temp_stop.Add(FileReader.getHistogramFromFile(distribution, FILES.files['Tbar_tW-channel'])) -temp_stop.Add(FileReader.getHistogramFromFile(distribution, FILES.files['Tbar_t-channel'])) -temp_stop.Add(FileReader.getHistogramFromFile(distribution, FILES.files['Tbar_s-channel'])) -temp_VPlusJets = temp_zj.Clone('V+jets') -temp_VPlusJets.Add(temp_wj) -n_ttbar = temp_tt.Integral() -n_wj = temp_wj.Integral() -n_VJ = temp_VPlusJets.Integral() -n_zj = temp_zj.Integral() -n_stop = temp_stop.Integral() -n_qcd = 1 -REBIN = 20 -n_signal = n_ttbar + n_stop -temp_VPlusJets.Rebin(REBIN) -temp_tt.Rebin(REBIN) -temp_wj.Rebin(REBIN) -temp_zj.Rebin(REBIN) -temp_stop.Rebin(REBIN) -temp_qcd.Rebin(REBIN) -temp_qcd2.Rebin(REBIN) -temp_qcd.Scale(n_qcd / temp_qcd.Integral()) -temp_qcd2.Scale(n_qcd/temp_qcd2.Integral()) -temp_signal = temp_tt.Clone('signal') -temp_signal.Add(temp_stop) - -leptonAbsEta = RooRealVar("leptonAbsEta", "leptonAbsEta", 0., 3.) -variables = RooArgList() -variables.add(leptonAbsEta) -vars_set = RooArgSet() -vars_set.add(leptonAbsEta) -n_event_obs = h_data.Integral(); -lowerBound = -10 * sqrt(n_event_obs); -lowerBound = 0 -upperBound = n_event_obs + 10 * sqrt(n_event_obs); -upperBound = n_event_obs -n_init = n_event_obs / 2.; -data = RooDataHist("data", "dataset with leptonAbsEta", variables, h_data) -rh_tt = RooDataHist("rh_tt", "tt", variables, temp_tt); -rh_wj = RooDataHist("rh_wj", "wj", variables, temp_wj); -rh_zj = RooDataHist("rh_zj", "zj", variables, temp_zj); -rh_VJ = RooDataHist("rh_VJ", "VJ", variables, temp_VPlusJets); -rh_qcd = RooDataHist("rh_qcd", "qcd", variables, temp_qcd); -rh_qcd2 = RooDataHist("rh_qcd", "qcd", variables, temp_qcd2); -rh_stop = RooDataHist("rh_stop", "singletop", variables, temp_stop); -rh_signal = RooDataHist("rh_signal", "signal", variables, temp_signal); - -pdf_tt = RooHistPdf("pdf_tt", "Signal pdf", vars_set, rh_tt, 0); -pdf_wj = RooHistPdf ("pdf_wj", "W+jets pdf", vars_set, rh_wj, 0); -pdf_zj = RooHistPdf ("pdf_zj", "Z+jets pdf", vars_set, rh_zj, 0); -pdf_VJ = RooHistPdf ("pdf_VJ", "Z+jets pdf", vars_set, rh_VJ, 0); -pdf_qcd = RooHistPdf("pdf_qcd", "QCD pdf ", vars_set, rh_qcd, 0); -pdf_qcd2 = RooHistPdf("pdf_qcd", "QCD pdf ", vars_set, rh_qcd2, 0); -pdf_stop = RooHistPdf("pdf_stop", "single top pdf", vars_set, rh_stop, 0); -pdf_signal = RooHistPdf("pdf_signal", "single top pdf", vars_set, rh_signal, 0); - -ntt = RooRealVar ("ntt", "number of tt signal events", n_ttbar, lowerBound, upperBound, "event"); -nwj = RooRealVar ("nwj", "number of W+jets bgnd events", n_wj, lowerBound, upperBound, "event"); -nzj = RooRealVar ("nzj", "number of Z+jets bgnd events", n_zj, lowerBound, upperBound, "event"); -nVJ = RooRealVar ("nVJ", "number of Z+jets bgnd events", n_VJ, lowerBound, upperBound, "event"); -nqcd = RooRealVar("nqcd", "number of QCD bgnd events", n_qcd, lowerBound, upperBound, "event"); -nstop = RooRealVar("nstop", "number of single top bgnd events", n_stop, lowerBound, upperBound, "event"); -nSignal = RooRealVar("nSignal", "number of single top + ttbar events", n_stop + n_ttbar, lowerBound, upperBound, "event"); -model = RooAddPdf("model", "sig+wj+zj+qcd+stop", - RooArgList(pdf_signal, pdf_VJ, pdf_qcd), - RooArgList(nSignal, nVJ, nqcd)) ; -fitResult = model.fitTo(data, RooFit.Minimizer("Minuit2", "Migrad"), - RooFit.NumCPU(8), RooFit.Extended(True), - RooFit.SumW2Error(False), RooFit.Strategy(2), - #verbosity - RooFit.PrintLevel(-1), RooFit.Warnings(False), RooFit.Verbose(False)) - -#ntt_fit = ntt.getVal(); -nSignal_fit = nSignal.getVal(); -nwj_fit = nwj.getVal(); -#nzj_fit = nzj.getVal(); -nVJ_fit = nVJ.getVal(); -nqcd_fit = nqcd.getVal(); -#nstop_fit = nstop.getVal(); - - -nSignal_fiterr = nSignal.getError(); -#ntt_fiterr = ntt.getError(); -nwj_fiterr = nwj.getError(); -nVJ_fiterr = nVJ.getError(); -nqcd_fiterr = nqcd.getError(); -#nstop_fiterr = nstop.getError(); - -print "Total events in signal region: ", n_event_obs; -print 'DATA:', n_event_obs -print 'N_tt:', n_ttbar -print 'N_signal', n_signal -print 'N_WJ:', n_wj -print 'N_VJ:', n_VJ -print 'N_sTop:', n_stop -print 'N_QCD:', n_qcd -print 'SumMC:', n_signal + n_VJ + n_qcd -print "nSignal fitted: %d +/- %d" % (nSignal_fit, nSignal_fiterr) -#print "ntt fitted: ", ntt_fit, " +/- ", ntt_fiterr; -#print "nwj fitted: %d +/- %d" %( nwj_fit, nwj_fiterr) -print "VJ fitted: %d +/- %d" % (nVJ_fit, nVJ_fiterr) -print "nqcd fitted: %d +/- %d" % (nqcd_fit, nqcd_fiterr) -#print "nstop fitted: ", nstop_fit, " +/- ", nstop_fiterr; -#print 'SumMC:', ntt_fit + nwj_fit + nzj_fit + nqcd_fit + nstop_fit -print 'SumMC: %d' % (nSignal_fit + nVJ_fit + nqcd_fit) diff --git a/scripts/startElectronAnalysis.sh b/scripts/startElectronAnalysis.sh deleted file mode 100755 index c3d3a9fe..00000000 --- a/scripts/startElectronAnalysis.sh +++ /dev/null @@ -1,7 +0,0 @@ -nohup BAT BristolAnalysis/Tools/python/electronAnalysis_specificMCOnly.py >&electronMC.log & -nohup BAT BristolAnalysis/Tools/python/electronAnalysis_DataOnly.py &> electronData.log & -nohup BAT BristolAnalysis/Tools/python/leptonAnalysis_CommonMCWithoutBigSamples.py &> leptonMC_smallSamples.log & -nohup BAT BristolAnalysis/Tools/python/leptonAnalysis_WPlusJetsMC.py &> leptonMC_WJets.log & -nohup BAT BristolAnalysis/Tools/python/leptonAnalysis_DYPlusJetsMC.py &> leptonMC_DYJets.log & -nohup BAT BristolAnalysis/Tools/python/leptonAnalysis_TTbar.py &> leptonMC_TTJets.log & - diff --git a/scripts/startMeasurement.sh b/scripts/startMeasurement.sh deleted file mode 100644 index aa37894d..00000000 --- a/scripts/startMeasurement.sh +++ /dev/null @@ -1,5 +0,0 @@ -python measureCrossSection.py -m type1 -b 0 &> measure_0btag.log & -python measureCrossSection.py -m type1 -b 0m &> measure_0orMoreBTags.log & -python measureCrossSection.py -m type1 -b 1 &> measure_1btag.log & -python measureCrossSection.py -m type1 -b 1m &> measure_1orMoreBTags.log & -python measureCrossSection.py -m type1 -b 2m &> measure_2orMoreBTags.log & diff --git a/scripts/tdrstyle.C b/scripts/tdrstyle.C deleted file mode 100644 index ce431063..00000000 --- a/scripts/tdrstyle.C +++ /dev/null @@ -1,157 +0,0 @@ -#include "TStyle.h" - -// tdrGrid: Turns the grid lines on (true) or off (false) - -// void tdrGrid(bool gridOn) { -// tdrStyle->SetPadGridX(gridOn); -// tdrStyle->SetPadGridY(gridOn); -// } - -// fixOverlay: Redraws the axis - -//void fixOverlay() { -// gPad->RedrawAxis(); -//} - -void setTDRStyle() { - TStyle *tdrStyle = new TStyle("tdrStyle","Style for P-TDR"); - -// For the canvas: - tdrStyle->SetCanvasBorderMode(0); - tdrStyle->SetCanvasColor(kWhite); - tdrStyle->SetCanvasDefH(600); //Height of canvas - tdrStyle->SetCanvasDefW(600); //Width of canvas - tdrStyle->SetCanvasDefX(0); //POsition on screen - tdrStyle->SetCanvasDefY(0); - -// For the Pad: - tdrStyle->SetPadBorderMode(0); - // tdrStyle->SetPadBorderSize(Width_t size = 1); - tdrStyle->SetPadColor(kWhite); - tdrStyle->SetPadGridX(false); - tdrStyle->SetPadGridY(false); - tdrStyle->SetGridColor(0); - tdrStyle->SetGridStyle(3); - tdrStyle->SetGridWidth(1); - -// For the frame: - tdrStyle->SetFrameBorderMode(0); - tdrStyle->SetFrameBorderSize(1); - tdrStyle->SetFrameFillColor(0); - tdrStyle->SetFrameFillStyle(0); - tdrStyle->SetFrameLineColor(1); - tdrStyle->SetFrameLineStyle(1); - tdrStyle->SetFrameLineWidth(1); - -// For the histo: - // tdrStyle->SetHistFillColor(1); - // tdrStyle->SetHistFillStyle(0); - tdrStyle->SetHistLineColor(1); - tdrStyle->SetHistLineStyle(0); - tdrStyle->SetHistLineWidth(1); - // tdrStyle->SetLegoInnerR(Float_t rad = 0.5); - // tdrStyle->SetNumberContours(Int_t number = 20); - - tdrStyle->SetEndErrorSize(2); -// tdrStyle->SetErrorMarker(20); - tdrStyle->SetErrorX(0.); - - tdrStyle->SetMarkerStyle(20); - -//For the fit/function: - tdrStyle->SetOptFit(1); - tdrStyle->SetFitFormat("5.4g"); - tdrStyle->SetFuncColor(2); - tdrStyle->SetFuncStyle(1); - tdrStyle->SetFuncWidth(1); - -//For the date: - tdrStyle->SetOptDate(0); - // tdrStyle->SetDateX(Float_t x = 0.01); - // tdrStyle->SetDateY(Float_t y = 0.01); - -// For the statistics box: - tdrStyle->SetOptFile(0); - tdrStyle->SetOptStat(0); // To display the mean and RMS: SetOptStat("mr"); - tdrStyle->SetStatColor(kWhite); - tdrStyle->SetStatFont(42); - tdrStyle->SetStatFontSize(0.025); - tdrStyle->SetStatTextColor(1); - tdrStyle->SetStatFormat("6.4g"); - tdrStyle->SetStatBorderSize(1); - tdrStyle->SetStatH(0.1); - tdrStyle->SetStatW(0.15); - // tdrStyle->SetStatStyle(Style_t style = 1001); - // tdrStyle->SetStatX(Float_t x = 0); - // tdrStyle->SetStatY(Float_t y = 0); - -// Margins: - tdrStyle->SetPadTopMargin(0.05); - tdrStyle->SetPadBottomMargin(0.13); - tdrStyle->SetPadLeftMargin(0.16); - tdrStyle->SetPadRightMargin(0.12); - -// For the Global title: - - tdrStyle->SetOptTitle(0); - tdrStyle->SetTitleFont(42); - tdrStyle->SetTitleColor(1); - tdrStyle->SetTitleTextColor(1); - tdrStyle->SetTitleFillColor(10); - tdrStyle->SetTitleFontSize(0.05); - // tdrStyle->SetTitleH(0); // Set the height of the title box - // tdrStyle->SetTitleW(0); // Set the width of the title box - // tdrStyle->SetTitleX(0); // Set the position of the title box - // tdrStyle->SetTitleY(0.985); // Set the position of the title box - // tdrStyle->SetTitleStyle(Style_t style = 1001); - // tdrStyle->SetTitleBorderSize(2); - -// For the axis titles: - - tdrStyle->SetTitleColor(1, "XYZ"); - tdrStyle->SetTitleFont(42, "XYZ"); - tdrStyle->SetTitleSize(0.06, "XYZ"); - // tdrStyle->SetTitleXSize(Float_t size = 0.02); // Another way to set the size? - // tdrStyle->SetTitleYSize(Float_t size = 0.02); - //tdrStyle->SetTitleXOffset(1.5); - //tdrStyle->SetTitleYOffset(3.5); - tdrStyle->SetTitleOffset(3.5, "Y"); // Another way to set the Offset - -// For the axis labels: - - tdrStyle->SetLabelColor(1, "XYZ"); - tdrStyle->SetLabelFont(42, "XYZ"); - tdrStyle->SetLabelOffset(0.05, "XYZ"); - tdrStyle->SetLabelSize(0.05, "XYZ"); - -// For the axis: - - tdrStyle->SetAxisColor(1, "XYZ"); - tdrStyle->SetStripDecimals(kTRUE); - tdrStyle->SetTickLength(0.03, "XYZ"); - tdrStyle->SetNdivisions(510, "XYZ"); - tdrStyle->SetPadTickX(1); // To get tick marks on the opposite side of the frame - tdrStyle->SetPadTickY(1); - -// Change for log plots: - tdrStyle->SetOptLogx(0); - tdrStyle->SetOptLogy(0); - tdrStyle->SetOptLogz(0); - -// Postscript options: - tdrStyle->SetPaperSize(20.,20.); - // tdrStyle->SetLineScalePS(Float_t scale = 3); - // tdrStyle->SetLineStyleString(Int_t i, const char* text); - // tdrStyle->SetHeaderPS(const char* header); - // tdrStyle->SetTitlePS(const char* pstitle); - - // tdrStyle->SetBarOffset(Float_t baroff = 0.5); - // tdrStyle->SetBarWidth(Float_t barwidth = 0.5); - // tdrStyle->SetPaintTextFormat(const char* format = "g"); - // tdrStyle->SetPalette(Int_t ncolors = 0, Int_t* colors = 0); - // tdrStyle->SetTimeOffset(Double_t toffset); - // tdrStyle->SetHistMinimumZero(kTRUE); - - tdrStyle->cd(); - -} diff --git a/scripts/testOutput.png b/scripts/testOutput.png deleted file mode 100644 index 6bd44642be9fc80f134532888b76ecb30fae4fd9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 46647 zcmeFZby!qw*EYTZ1uQ@bl@vulKtQFW1?jG#B!n9zq@`0u5fD(2kW^ASrAw(>LXd6* zq`Q0gtpUBC=Y41heOwYp*=lxz-+EMR|#Hr^!zv2y#wJ^1d>H;PNBL zi72Oub@LtS6mPn&(WjA zp+;3VBNv)ie5}SkIzn6vDetF_om8cZ7%<=W>;6&kXoN+UtFuGgagW64HauO zmAW6RjUo}lY{`p$r`nPR^9)gy(!zp=HlAP<<|Rj9A}QuE;F{@4cn}_!{C{u%?_wEP zZxban(%gi5Ik)xc9|?UC2@*k;OBMBcv&*A3D<4O;1CDPqo*st>Tdinan#1jeaqTB% 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zynM*8kY7!nZ*gy*Jn=lJC(QN%;>*ZQg0ufxaR$Zd{aP~e`3(IC^5A8>ZH}H3PH&iA zOm&tO4V87PwZvY8p{80aCNkR&*X~o84he-f+;>&U_3W zyE#qrmk`hrZ6~wSXo`THzfMb>L)Ct=50bxULrG89(dN%0o~B>O`a|wcEc(^UzYgZ~ z@A>!G)3E;_b_;A?VvLsYnG>3kFVH( N2?+VN>FC+Z{{(u35{Uo+ diff --git a/scripts/tools/ColorPrinter.py b/scripts/tools/ColorPrinter.py deleted file mode 100644 index 3ba6d5d0..00000000 --- a/scripts/tools/ColorPrinter.py +++ /dev/null @@ -1,58 +0,0 @@ -''' -Created on Aug 4, 2012 - -@author: lkreczko -''' -CODE = { - 'ENDC':0, # RESET COLOR - 'BOLD':1, - 'UNDERLINE':4, - 'BLINK':5, - 'INVERT':7, - 'CONCEALD':8, - 'STRIKE':9, - 'GREY30':90, - 'GREY40':2, - 'GREY65':37, - 'GREY70':97, - 'GREY20_BG':40, - 'GREY33_BG':100, - 'GREY80_BG':47, - 'GREY93_BG':107, - 'DARK_RED':31, - 'RED':91, - 'RED_BG':41, - 'LIGHT_RED_BG':101, - 'DARK_YELLOW':33, - 'YELLOW':93, - 'YELLOW_BG':43, - 'LIGHT_YELLOW_BG':103, - 'DARK_BLUE':34, - 'BLUE':94, - 'BLUE_BG':44, - 'LIGHT_BLUE_BG':104, - 'DARK_MAGENTA':35, - 'PURPLE':95, - 'MAGENTA_BG':45, - 'LIGHT_PURPLE_BG':105, - 'DARK_CYAN':36, - 'AUQA':96, - 'CYAN_BG':46, - 'LIGHT_AUQA_BG':106, - 'DARK_GREEN':32, - 'GREEN':92, - 'GREEN_BG':42, - 'LIGHT_GREEN_BG':102, - 'BLACK':30, -} - -def termcode(num): - return '\033[%sm' % num - -def colorstr(text, color): - if color in CODE.keys(): - return termcode(CODE[color]) + text + termcode(CODE['ENDC']) - else: - return text - - diff --git a/scripts/tools/CrossSectionMeasurement.py b/scripts/tools/CrossSectionMeasurement.py deleted file mode 100644 index e69de29b..00000000 diff --git a/scripts/tools/ErrorCalculation.py b/scripts/tools/ErrorCalculation.py deleted file mode 100644 index b602de6b..00000000 --- a/scripts/tools/ErrorCalculation.py +++ /dev/null @@ -1,3 +0,0 @@ - -def getResultFromConstantRatio(result, ratio): - return 0, 0 \ No newline at end of file diff --git a/scripts/tools/ErrorSources.py b/scripts/tools/ErrorSources.py deleted file mode 100644 index 389280d9..00000000 --- a/scripts/tools/ErrorSources.py +++ /dev/null @@ -1,14 +0,0 @@ -''' -Created on Dec 1, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch - -Provides error sources for histograms: -- QCD estimation error -- QCD shape error -- b-tagging error (only for b-tagged hists), flat (in theory only up to 250GeV) -- lumi error, flat -- JEC error? Flat? -''' diff --git a/scripts/tools/FileUtilities.py b/scripts/tools/FileUtilities.py deleted file mode 100644 index 5e3cef83..00000000 --- a/scripts/tools/FileUtilities.py +++ /dev/null @@ -1,27 +0,0 @@ -import os -import json - -def createFolderIfDoesNotExist(path): - if not os.path.exists(path): - os.makedirs(path) - -def writeStringToFile(string, filename): - path = getPath(filename) - createFolderIfDoesNotExist(path) - #write file - output_file = open(filename, 'w') - output_file.write(string) - output_file.close() - -def getPath(filenameWithPath): - absolutePath = os.path.abspath(filenameWithPath) - filename = absolutePath.split('/')[-1] - path = absolutePath.replace(filename, '') - return path - -def readJSONFile(filename): - inputfile = open(filename, 'r') - inputJSON = ''.join(inputfile.readlines()) - objects = json.loads(inputJSON) - inputfile.close() - return objects \ No newline at end of file diff --git a/scripts/tools/Fitter.py b/scripts/tools/Fitter.py deleted file mode 100644 index 7acc7869..00000000 --- a/scripts/tools/Fitter.py +++ /dev/null @@ -1,82 +0,0 @@ -from ROOT import RooRealVar, RooDataHist, RooArgList, RooHistPdf, RooArgSet, RooAddPdf, RooMCStudy, RooFit -import PlottingUtilities as plotting - -class Fitter: - results = {} - templates = {} - normalisation = {} - dataLabel = '' - - def __init__(self): - pass - - def fit(self, histograms = {}, dataLabel = 'data'): - self.dataLabel = dataLabel - self.templates = self.generateTemplatesAndNormalisation(histograms) - - def generateTemplatesAndNormalisation(self, histograms): - for sample, histogram in histograms.iteritems(): - self.normalisation[sample] = histogram.Integral() - temp = histogram.Clone(sample + '_' + 'template') - self.templates[sample] = plotting.normalise(temp) - - def getResults(self): - return self.results - - def getResult(self, label): - return self.results[label] - - -class RooFitter(Fitter): - pdfs = {} - variableName = '' - minX = 0 - maxX = 0 - - def __init__(self, variableName, minX, maxX): - Fitter.__init__(self) - self.variableName = variableName - self.minX = minX - self.maxX = maxX - - def fit(self, histograms = {}, dataLabel = 'data', signalLabel = 'TTJet'): - self.dataLabel = dataLabel - self.signalLabel = signalLabel - - def generatePDFs(self, histograms): - pass - -class TMinuitFitter(Fitter): - def __init__(self): - Fitter.__init__(self) - - -def goodnessOfFit(fitter): - pass - - - -#TODO: move bkgN to list -# 1 data, 1 signal and N background histograms -def performFitInLeptonAbsEta(data_histogram, signal_histogram, bkg1_histogram, bkg2_histogram): - N_Data = data_histogram.Integral() - N_signal = signal_histogram.Integral() - N_bkg1 = bkg1_histogram.Integral() - N_bkg2 = bkg2_histogram.Integral() - leptonAbsEta = RooRealVar("leptonAbsEta", "leptonAbsEta", 0., 3.) - variables = RooArgList() - variables.add(leptonAbsEta) - variable_set = RooArgSet() - variable_set.add(leptonAbsEta) - - lowerBound = 0 - upperBound = N_Data*2 - - data_RooDataHist = RooDataHist("data", "dataset with leptonAbsEta", variables, data_histogram) - signal_RooDataHist = RooDataHist("rh_signal", "signal", variables, signal_histogram); - bkg1_RooDataHist = RooDataHist("rh_bkg1", "bkg1", variables, bkg1_histogram); - bkg2_RooDataHist = RooDataHist("rh_bkg2", "bkg2", variables, bkg2_histogram); - - signal_RooHistPdf = RooHistPdf("pdf_signal", "Signal PDF", variable_set, signal_RooDataHist, 0) - signal_RooHistPdf = RooHistPdf("pdf_signal", "Signal PDF", variable_set, signal_RooDataHist, 0) - diff --git a/scripts/tools/Log.py b/scripts/tools/Log.py deleted file mode 100644 index c2fb6743..00000000 --- a/scripts/tools/Log.py +++ /dev/null @@ -1,6 +0,0 @@ - - -def logErrorMessage(msg): - print '=' * 60 - print 'An error occurred:', msg - print '=' * 60 \ No newline at end of file diff --git a/scripts/tools/NTuples.py b/scripts/tools/NTuples.py deleted file mode 100644 index bf817bfe..00000000 --- a/scripts/tools/NTuples.py +++ /dev/null @@ -1,7 +0,0 @@ -''' -Created on Nov 23, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' diff --git a/scripts/tools/PlottingUtilities.py b/scripts/tools/PlottingUtilities.py deleted file mode 100644 index 42b03abc..00000000 --- a/scripts/tools/PlottingUtilities.py +++ /dev/null @@ -1,269 +0,0 @@ -''' -Created on Nov 23, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' -from ROOT import TLegend, TCanvas, TPaveText, gROOT -import Styles -import FileUtilities -qcd_samples = [ 'QCD_Pt-20to30_BCtoE', - 'QCD_Pt-30to80_BCtoE', - 'QCD_Pt-80to170_BCtoE', - 'QCD_Pt-20to30_EMEnriched', - 'QCD_Pt-30to80_EMEnriched', - 'QCD_Pt-80to170_EMEnriched', - 'GJets_HT-40To100', - 'GJets_HT-100To200', - 'GJets_HT-200'] -singleTop_samples = [ 'T_tW-channel', - 'T_t-channel', - 'T_s-channel', - 'Tbar_tW-channel', - 'Tbar_t-channel', - 'Tbar_s-channel'] -wplusjets_samples = [ 'W1Jet', 'W2Jets', 'W3Jets', 'W4Jets'] -diboson_samples = [ 'WWtoAnything', 'WZtoAnything', 'ZZtoAnything'] -signal_samples = [ 'TTJet', 'SingleTop'] -allMC_samples = [ 'TTJet', 'DYJetsToLL', 'QCD', 'Di-Boson', 'W+Jets', 'SingleTop'] - -defaultCanvasWidth = 1600 -defaultCanvasHeight = 1200 - -class Plot(): - ''' - Plot unites the tuning parameters for plot style - ''' - def __init__(self): - self.rebin = 1 - self.scale = 1 - self.UserRange = (0, 0) - self.name = "" - self.location = "" - self.jetBins = [] - self.bJetBins = [] - self.qcdShapeFrom = "" - self.qcdEstimate = 0 - -def compareShapes(histograms=[], histogramlables=[], styles=[], maxfactor = 1.3): - leg = TLegend(0.6, 0.7, 0.94, 0.92); - leg.SetBorderSize(0); - leg.SetLineStyle(0); - leg.SetTextFont(42); - leg.SetFillStyle(0); - AddLegendEntry = leg.AddEntry - - c = TCanvas("compareShapes", 'compareShapes', defaultCanvasWidth, defaultCanvasHeight) - c.cd() - - for hist, label, style in zip(histograms,histogramlables,styles): - hist.Sumw2() - hist = normalise(hist) - hist.SetLineColor(style['color']) - hist.SetLineWidth(4) - - AddLegendEntry(hist, label, "f") - - index = 0 - maximum = getMax(histograms) - for hist in histograms: - if index == 0: - hist.GetYaxis().SetRangeUser(0, maximum*maxfactor) - hist.Draw('histe') - else: - hist.Draw('histe same') - index += 1 - - return c, leg - -def create_cms_label(lumiInInvPb, njet="4orMoreJets", nbjet="0orMoreBtag", channel="e"): - jetBinsLatex = {'0jet':'0 jet', '0orMoreJets':'#geq 0 jets', '1jet':'1 jet', '1orMoreJets':'#geq 1 jet', - '2jets':'2 jets', '2orMoreJets':'#geq 2 jets', '3jets':'3 jets', '3orMoreJets':'#geq 3 jets', - '4orMoreJets':'#geq 4 jets'} - - BjetBinsLatex = {'0btag':'0 b-tags', '0orMoreBtag':'#geq 0 b-tags', '1btag':'1 b-tags', - '1orMoreBtag':'#geq 1 b-tags', - '2btags':'2 b-tags', '2orMoreBtags':'#geq 2 b-tags', - '3btags':'3 b-tags', '3orMoreBtags':'#geq 3 b-tags', - '4orMoreBtags':'#geq 4 b-tags'} - - mytext = TPaveText(0.35, 0.7, 0.7, 0.93, "NDC") - mytext.AddText("CMS Preliminary") - mytext.AddText("%.2f fb^{-1} at #sqrt{s} = 7 TeV" % (lumiInInvPb / 1000)) - if njet != "": - mytext.AddText(channel + ", %s, %s" % (jetBinsLatex[njet], BjetBinsLatex[nbjet])) - - mytext.SetFillStyle(0); - mytext.SetBorderSize(0); - mytext.SetTextFont(42); - mytext.SetTextAlign(13); - - return mytext - -def create_legend(x0=0.696, y0 = 0.95, x1=0.94, y1=0.55): -# legend = TLegend(0.6, 0.7, 0.94, 0.92); - legend = TLegend(x0, y0, x1, y1) - legend.SetBorderSize(0); - legend.SetLineStyle(0); - legend.SetTextFont(42); - legend.SetFillStyle(0); - return legend - -def saveAs(canvas, name, outputFormats=['png'], outputFolder=''): - canvas.RedrawAxis() - if not outputFolder == '' and not outputFolder.endswith('/'): - outputFolder += '/' - for outputFormat in outputFormats: - fullFileName = outputFolder + name + '.' + outputFormat - if '/' in fullFileName: - path = fullFileName[:fullFileName.rfind('/')] - FileUtilities.createFolderIfDoesNotExist(path) - - canvas.SaveAs(fullFileName) - -def normalise(histogram): - if histogram and histogram.Integral() > 0: - histogram.Scale(1 / histogram.Integral()) - return histogram - -def rebin(hists, nbins, histname = ''): - for sample in hists.keys(): - if isinstance(hists[sample], dict): - if len(hists[sample].keys()) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - hists[sample][name].Rebin(nbins) - elif hists[sample].has_key(histname): - hists[sample][histname].Rebin(nbins) - else: - hists[sample].Rebin(nbins) - return hists - -def setXRange(hists, limits=(0, 5000), histname=''): - for sample in hists.keys(): - if len(hists[sample].keys()) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - if hists[sample][name] and hists[sample][name].GetXaxis(): - hists[sample][name].GetXaxis().SetRangeUser(limits[0], limits[1]) - else: - print "Can't find histogram", sample, name - elif hists[sample].has_key(histname): - if hists[sample][name]: - hists[sample][histname].GetXaxis().SetRangeUser(limits[0], limits[1]); - else: - print "Can't find histogram", sample, name - return hists - -def setYRange(hists, limits=(0, 5000), histname=''): - for sample in hists.keys(): - if len(hists[sample].keys()) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - if hists[sample][name] and hists[sample][name].GetYaxis(): - hists[sample][name].GetYaxis().SetRangeUser(limits[0], limits[1]) - else: - print "Can't find histogram", sample, name - elif hists[sample].has_key(histname): - if hists[sample][name]: - hists[sample][histname].GetYaxis().SetRangeUser(limits[0], limits[1]); - else: - print "Can't find histogram", sample, name - return hists - -def setXTitle(hists, title, histname=''): - for sample in hists.keys(): - if isinstance(hists[sample], dict): - if len(hists[sample].keys()) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - hists[sample][name].SetXTitle(title) - elif hists[sample].has_key(histname): - hists[sample][histname].SetXTitle(title); - else: - hists[sample].SetXTitle(title); - return hists - -def setYTitle(hists, title, histname=''): - for sample in hists.keys(): - if isinstance(hists[sample], dict): - if len(hists[sample].keys()) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - hists[sample][name].SetYTitle(title) - elif hists[sample].has_key(histname): - hists[sample][histname].SetYTitle(title); - else: - hists[sample].SetYTitle(title); - return hists - -def setStyle(): - tdrStyle = Styles.tdrStyle.getStyle() - - #slight adaptation - tdrStyle.SetPadRightMargin(0.05); #originally was 0.02, too narrow! - tdrStyle.SetStatH(0.2); - #tdrStyle.SetOptStat(1110);//off title - tdrStyle.SetOptStat(0);#off title - tdrStyle.SetOptFit(0);#off title -# tdrStyle.SetTitleYOffset(1.6); - tdrStyle.cd(); - gROOT.ForceStyle(); - -def getMax(histograms): - maximum = 0 - for hist in histograms: - current_max = hist.GetMaximum() - if current_max > maximum: - maximum = current_max - return maximum -#Usage: -#histograms['summedSample'] = sumSamples(histograms, ['sample1','sample2', 'sample3']) -def sumSamples(histograms = {}, samplesToSum = []): - summedHists = {} - summedHist = None - doubleDictionary = False - - for sample in samplesToSum: - hists = histograms[sample] - if isinstance(hists, dict): - doubleDictionary = True - for histname, hist in hists.iteritems(): - if summedHists.has_key(histname): - summedHists[histname] += hist - else: - summedHists[histname] = hist - else: - if summedHist: - summedHist += hists - else: - summedHist = hists - if doubleDictionary: - return summedHists - else: - return summedHist - - -def plot(histograms = [], data = 0, makeStack = True, outputFormats = ['png', 'pdf'], normalise = False, ratio = False ): - pass \ No newline at end of file diff --git a/scripts/tools/Printer.py b/scripts/tools/Printer.py deleted file mode 100644 index e69de29b..00000000 diff --git a/scripts/tools/ROOTFileReader.py b/scripts/tools/ROOTFileReader.py deleted file mode 100644 index 2c6560f2..00000000 --- a/scripts/tools/ROOTFileReader.py +++ /dev/null @@ -1,99 +0,0 @@ -from ROOT import TFile, gROOT -import tools.Log as Log -from config.sampleSummations import btag_bins_inclusive, btag_sums - -openRootFile = TFile.Open -gcd = gROOT.cd -#Reads a single histogram from a single file -def getHistogramFromFile(histname, filename): - rootFile = TFile.Open(filename) - getHist = rootFile.Get - testIfFalidFile(rootFile, filename) - - btag_found = '' - for btag in btag_bins_inclusive: - if btag in histname: - btag_found = btag - break - rootHist = None -# sumEvents = 0 - if btag_found == '': - rootHist = getHist(histname) - if not isValidHist(rootHist, histname, filename): - return - else: - listOfExclusiveBins = btag_sums[btag_found] - exclhists = [] - - for excbin in listOfExclusiveBins: - hist = getHist(histname.replace(btag_found, excbin)) - if not isValidHist(hist, histname.replace(btag_found, excbin), filename): - return - exclhists.append(hist) - rootHist = exclhists[0].Clone() - - for hist in exclhists[1:]: - rootHist.Add(hist) - - gcd() - histogram = rootHist.Clone() - rootFile.Close() - - return histogram -def testIfFalidFile(rootFile, filename): - if not rootFile: - Log.logErrorMessage('Could not find rootFile: ' + filename) - -def isValidHist(rootHist, histname, filename): - if not rootHist: - Log.logErrorMessage('Histogram \n"%s" \ncould not be found in rootFile:\n%s' % (histname, filename)) - return False - return True - -#Reads a single histogram from each given rootFile -#and returns a dictionary with the same naming as 'files' -def getHistogramDictionary(histname, files={}): - hists = {} - for sample, filename in files.iteritems(): - hists[sample] = getHistogramFromFile(histname, filename) - return hists - -#Reads a list of histograms from each given file -def getHistogramsFromFiles(histnames=[], files={}, verbose = False): - histograms = {} - nHistograms = 0 - for sample, filename in files.iteritems(): - rootFile = openRootFile(filename) - getHist = rootFile.Get - histograms[sample] = {} - for histname in histnames: - btag_found = '' - for btag in btag_bins_inclusive: - if btag in histname: - btag_found = btag - break - rootHist = None - if btag_found == '': - rootHist = getHist(histname) - if not isValidHist(rootHist, histname, filename): - continue - else: - listOfExclusiveBins = btag_sums[btag_found] - exclhists = [] - for excbin in listOfExclusiveBins: - hist = getHist(histname.replace(btag_found, excbin)) - if not isValidHist(hist, histname.replace(btag_found, excbin), filename): - continue - exclhists.append(hist) - rootHist = exclhists[0].Clone() - for hist in exclhists[1:]: - rootHist.Add(hist) - gcd() - nHistograms += 1 - histograms[sample][histname] = rootHist.Clone() - if verbose and nHistograms % 5000 == 0: - print 'Read', nHistograms, 'histograms' - rootFile.Close() - return histograms - - diff --git a/scripts/tools/ROOTFileWriter.py b/scripts/tools/ROOTFileWriter.py deleted file mode 100644 index e854345a..00000000 --- a/scripts/tools/ROOTFileWriter.py +++ /dev/null @@ -1,8 +0,0 @@ -def writeHistogramDictionaryToFile(histDictionary, fileName, mode = 'w'): - pass - - -def getPath(pathWithObject): - objectName = pathWithObject.split('/')[-1] - path = pathWithObject.replace(objectName, '') - return path \ No newline at end of file diff --git a/scripts/tools/Styles.py b/scripts/tools/Styles.py deleted file mode 100644 index 5e800783..00000000 --- a/scripts/tools/Styles.py +++ /dev/null @@ -1,153 +0,0 @@ -''' -Created on Jan 4, 2012 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' -from ROOT import TStyle, kWhite, kTRUE - -class tdrStyle(): - - @staticmethod - def getStyle(): - tdrStyle = TStyle("tdrStyle","Style for P-TDR"); - - # For the canvas: - tdrStyle.SetCanvasBorderMode(0); - tdrStyle.SetCanvasColor(kWhite); - tdrStyle.SetCanvasDefH(600); #Height of canvas - tdrStyle.SetCanvasDefW(600); #Width of canvas - tdrStyle.SetCanvasDefX(0); #POsition on screen - tdrStyle.SetCanvasDefY(0); - - # For the Pad: - tdrStyle.SetPadBorderMode(0); - # tdrStyle.SetPadBorderSize(Width_t size = 1); - tdrStyle.SetPadColor(kWhite); - tdrStyle.SetPadGridX(False); - tdrStyle.SetPadGridY(False); - tdrStyle.SetGridColor(0); - tdrStyle.SetGridStyle(3); - tdrStyle.SetGridWidth(1); - - # For the frame: - tdrStyle.SetFrameBorderMode(0); - tdrStyle.SetFrameBorderSize(1); - tdrStyle.SetFrameFillColor(0); - tdrStyle.SetFrameFillStyle(0); - tdrStyle.SetFrameLineColor(1); - tdrStyle.SetFrameLineStyle(1); - tdrStyle.SetFrameLineWidth(1); - - # For the histo: - # tdrStyle.SetHistFillColor(1); - # tdrStyle.SetHistFillStyle(0); - tdrStyle.SetHistLineColor(1); - tdrStyle.SetHistLineStyle(0); - tdrStyle.SetHistLineWidth(1); - # tdrStyle.SetLegoInnerR(Float_t rad = 0.5); - # tdrStyle.SetNumberContours(Int_t number = 20); - - tdrStyle.SetEndErrorSize(2); - # tdrStyle.SetErrorMarker(20); - tdrStyle.SetErrorX(0.); - - tdrStyle.SetMarkerStyle(20); - - #For the fit/function: - tdrStyle.SetOptFit(1); - tdrStyle.SetFitFormat("5.4g"); - tdrStyle.SetFuncColor(2); - tdrStyle.SetFuncStyle(1); - tdrStyle.SetFuncWidth(1); - - #For the date: - tdrStyle.SetOptDate(0); - # tdrStyle.SetDateX(Float_t x = 0.01); - # tdrStyle.SetDateY(Float_t y = 0.01); - - # For the statistics box: - tdrStyle.SetOptFile(0); - tdrStyle.SetOptStat(0); # To display the mean and RMS: SetOptStat("mr"); - tdrStyle.SetStatColor(kWhite); - tdrStyle.SetStatFont(42); - tdrStyle.SetStatFontSize(0.025); - tdrStyle.SetStatTextColor(1); - tdrStyle.SetStatFormat("6.4g"); - tdrStyle.SetStatBorderSize(1); - tdrStyle.SetStatH(0.1); - tdrStyle.SetStatW(0.15); - # tdrStyle.SetStatStyle(Style_t style = 1001); - # tdrStyle.SetStatX(Float_t x = 0); - # tdrStyle.SetStatY(Float_t y = 0); - - # Margins: - tdrStyle.SetPadTopMargin(0.05); - tdrStyle.SetPadBottomMargin(0.13); - tdrStyle.SetPadLeftMargin(0.16); - tdrStyle.SetPadRightMargin(0.02); - - # For the Global title: - - tdrStyle.SetOptTitle(0); - tdrStyle.SetTitleFont(42); - tdrStyle.SetTitleColor(1); - tdrStyle.SetTitleTextColor(1); - tdrStyle.SetTitleFillColor(10); - tdrStyle.SetTitleFontSize(0.05); - # tdrStyle.SetTitleH(0); # Set the height of the title box - # tdrStyle.SetTitleW(0); # Set the width of the title box - # tdrStyle.SetTitleX(0); # Set the position of the title box - # tdrStyle.SetTitleY(0.985); # Set the position of the title box - # tdrStyle.SetTitleStyle(Style_t style = 1001); - # tdrStyle.SetTitleBorderSize(2); - - # For the axis titles: - - tdrStyle.SetTitleColor(1, "XYZ"); - tdrStyle.SetTitleFont(42, "XYZ"); - tdrStyle.SetTitleSize(0.06, "XYZ"); - # tdrStyle.SetTitleXSize(Float_t size = 0.02); # Another way to set the size? - # tdrStyle.SetTitleYSize(Float_t size = 0.02); - tdrStyle.SetTitleXOffset(0.9); - tdrStyle.SetTitleYOffset(1.25); - # tdrStyle.SetTitleOffset(1.1, "Y"); # Another way to set the Offset - - # For the axis labels: - - tdrStyle.SetLabelColor(1, "XYZ"); - tdrStyle.SetLabelFont(42, "XYZ"); - tdrStyle.SetLabelOffset(0.007, "XYZ"); - tdrStyle.SetLabelSize(0.05, "XYZ"); - - # For the axis: - - tdrStyle.SetAxisColor(1, "XYZ"); - tdrStyle.SetStripDecimals(kTRUE); - tdrStyle.SetTickLength(0.03, "XYZ"); - tdrStyle.SetNdivisions(510, "XYZ"); - tdrStyle.SetPadTickX(1); # To get tick marks on the opposite side of the frame - tdrStyle.SetPadTickY(1); - - # Change for log plots: - tdrStyle.SetOptLogx(0); - tdrStyle.SetOptLogy(0); - tdrStyle.SetOptLogz(0); - - # Postscript options: - tdrStyle.SetPaperSize(20.,20.); - # tdrStyle.SetLineScalePS(Float_t scale = 3); - # tdrStyle.SetLineStyleString(Int_t i, const char* text); - # tdrStyle.SetHeaderPS(const char* header); - # tdrStyle.SetTitlePS(const char* pstitle); - - # tdrStyle.SetBarOffset(Float_t baroff = 0.5); - # tdrStyle.SetBarWidth(Float_t barwidth = 0.5); - # tdrStyle.SetPaintTextFormat(const char* format = "g"); - # tdrStyle.SetPalette(Int_t ncolors = 0, Int_t* colors = 0); - # tdrStyle.SetTimeOffset(Double_t toffset); - # tdrStyle.SetHistMinimumZero(kTRUE); - - tdrStyle.cd(); - return tdrStyle diff --git a/scripts/tools/Table.py b/scripts/tools/Table.py deleted file mode 100644 index 60914414..00000000 --- a/scripts/tools/Table.py +++ /dev/null @@ -1,15 +0,0 @@ - -#Class to represent a table and manipulate the string representation -class Table(): - #create a table with a header (first row) and a footer (last row) - def __init__(self, header = True, footer = False): - self.rows = [] - - def addrow(self, row): - self.rows.append(row) - - def convertToTwikiEntry(self): - pass - - def convertToLatex(self): - pass \ No newline at end of file diff --git a/scripts/tools/Timer.py b/scripts/tools/Timer.py deleted file mode 100644 index 5b016a79..00000000 --- a/scripts/tools/Timer.py +++ /dev/null @@ -1,13 +0,0 @@ - -from time import clock - -class Timer(): - - def __init__(self): - self.current_time = clock() - - def elapsedTime(self): - return clock() - self.current_time - - def restart(self): - self.current_time = clock() diff --git a/scripts/tools/Trigger.py b/scripts/tools/Trigger.py deleted file mode 100644 index bf817bfe..00000000 --- a/scripts/tools/Trigger.py +++ /dev/null @@ -1,7 +0,0 @@ -''' -Created on Nov 23, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' diff --git a/scripts/tools/WPlusJetsEstimation.py b/scripts/tools/WPlusJetsEstimation.py deleted file mode 100644 index bf817bfe..00000000 --- a/scripts/tools/WPlusJetsEstimation.py +++ /dev/null @@ -1,7 +0,0 @@ -''' -Created on Nov 23, 2011 - -@author: Lukasz Kreczko - -Email: Lukasz.Kreczko@cern.ch -''' diff --git a/scripts/tools/__init__.py b/scripts/tools/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/scripts/verifyNTupleProduction.py b/scripts/verifyNTupleProduction.py deleted file mode 100644 index e19a3338..00000000 --- a/scripts/verifyNTupleProduction.py +++ /dev/null @@ -1,4 +0,0 @@ -#test if the skim is as expected -#test the isolation distribution of (loose) leptons, show max isolation value! -#print list of found triggers -#print list of not found triggers \ No newline at end of file diff --git a/scripts/workspace_electron_channel_2orMoreBtags.py b/scripts/workspace_electron_channel_2orMoreBtags.py deleted file mode 100644 index f8a40d87..00000000 --- a/scripts/workspace_electron_channel_2orMoreBtags.py +++ /dev/null @@ -1,28 +0,0 @@ -from ROOT import RooWorkspace - -workspace = RooWorkspace("electron_channel_2orMoreBtags") - -workspace.factory('lepton_AbsoluteEta[0]') -workspace.factory('lumi[0]') - -workspace.factory('n_signal[2200,0,10000]') -workspace.factory('n_VPlusJets[200,0,10000]') -workspace.factory('n_QCD[10,0,10000]') -workspace.factory('sum::yield(n_signal,n_VPlusJets,n_QCD)') - -workspace.factory( "Poisson::model_core(n,yield)" ) - -workspace.factory( "lumi[0]" ); - -# cross section - parameter of interest -workspace.factory( "xsec[0,0,0.1]" ); - -# selection efficiency * acceptance -workspace.factory( "efficiency[0]" ); - -# signal yield -workspace.factory( "prod::nsig(lumi,xsec,efficiency)" ); -workspace.factory( "Uniform::prior(xsec)" ) -workspace.Print() - -workspace.SaveAs('electron_channel_2orMoreBtags.root') \ No newline at end of file diff --git a/scripts_old/.cvsignore b/scripts_old/.cvsignore deleted file mode 100644 index 13771a85..00000000 --- a/scripts_old/.cvsignore +++ /dev/null @@ -1,2 +0,0 @@ -mc_only_18Nov10_23h14m -.cvsignore diff --git a/scripts_old/EstimateQCD.py b/scripts_old/EstimateQCD.py deleted file mode 100644 index 22cfc69c..00000000 --- a/scripts_old/EstimateQCD.py +++ /dev/null @@ -1,653 +0,0 @@ -from __future__ import division - -import HistGetter -import HistPlotter -from tdrStyle import * -from ROOT import * -from math import pow, exp, sqrt -from copy import deepcopy -from array import array -import inputFiles - -class QCDEstimator: - luminosity = 1091.45#pb-1 - mc_luminosity = 1091.45#pb-1 - luminosity_unit = 'pb-1' - scale = luminosity / mc_luminosity - jetBins = [#'0jet', '0orMoreJets', '1jet', '1orMoreJets', '2jets', '2orMoreJets', - '3jets', '3orMoreJets', '4orMoreJets'] - jetBinsLatex = {'0jet':'0 jet', '0orMoreJets':'#geq 0 jets', '1jet':'1 jet', '1orMoreJets':'#geq 1 jet', - '2jets':'2 jets', '2orMoreJets':'#geq 2 jets', '3jets':'3 jets', '3orMoreJets':'#geq 3 jets', - '4orMoreJets':'#geq 4 jets'} - binWidth = 0.01 - rebin = 10 - fitRangesClosureTest = [ ( 0.1, 0.9 ), ( 0.1, 1.0 ), ( 0.1, 1.1 ), - ( 0.2, 0.9 ), ( 0.2, 1.0 ), ( 0.2, 1.1 ), - ( 0.3, 0.9 ), ( 0.3, 1.0 ), ( 0.3, 1.1 )] - - fitRangesEstimation = [ #( 0.1, 1.1 ), - ( 0.2, 1.6 ), - ( 0.3, 1.6 ), - ( 0.4, 1.6 )] - signalRegion = ( 0, 0.1 ) - maxValue = 1.6 - pfIsoHistogramPrefix = 'QCDStudy/QCDest_PFIsolation_1btag_WithMETCutAndAsymJetCuts_' - pfIsoControlRegionHistogramPrefix = 'QCDStudy/QCDest_PFIsolation_controlRegion_'#WithMETCutAndAsymJetCuts_' - relIsoHistogramPrefix = 'QCDStudy/QCDest_CombRelIso_' - pfIsoResults = {} - relIsoResults = {} - allPfIsoResults = {} - allRelIsoResults = {} - - useEntryAsData = 'data' - constrainFit = False - numberOfFreeParameters = 0 - - currentFitRange = ( 0.1, 1.6 ) - currentFitFuntion = 'gaus' - currentJetBin = jetBins[-1] - - outputFormat = 'png' - outputFolder = '' - - def __init__( self, files ): - self.files = files -# HistGetter.samplefiles = files - self.histograms = {} -# self.histGetter = HistGetter() - HistPlotter.setStyle() - self.getHistograms() - self.applyStyleAndCreateStack() - - for bin in self.jetBins: - self.pfIsoResults[bin] = {'actualNumberOfQCDEvents': 0, 'estimatedNumberOfQCDEvents':0, - 'fitFunction': None, 'fitParameters': {}, 'numberOfAllDataEvents':0, - 'numberOfAllMCEvents':0} - self.relIsoResults[bin] = {'actualNumberOfQCDEvents': 0, 'estimatedNumberOfQCDEvents':0, - 'fitFunction': None, 'fitParameters': {}, 'numberOfAllDataEvents':0, - 'numberOfAllMCEvents':0} - - def getHistograms( self ): - relIsoHists = [self.relIsoHistogramPrefix + jetbin for jetbin in self.jetBins] - pfIsoHists = [self.pfIsoHistogramPrefix + jetbin for jetbin in self.jetBins] - pfIsoControlHists = [self.pfIsoControlRegionHistogramPrefix + jetbin for jetbin in self.jetBins] - allHists = relIsoHists - allHists.extend( pfIsoHists ) - allHists.extend( pfIsoControlHists ) - #print allHists -# HistGetter.hists = allHists - - self.histograms = HistGetter.getHistsFromFiles(allHists, self.files); - self.histograms = HistGetter.addSampleSum( self.histograms ) - - def applyStyleAndCreateStack( self ): -# self.histograms = HistPlotter.applyDefaultStylesAndColors(self.histograms) - samplesOfInterest = ['data', 'qcd', 'zjets', 'wjets', 'singleTop', 'ttbar', 'allMC'] - colors = {'ttbar' : kRed + 1, - 'wjets' : kGreen - 3, - 'zjets' : kAzure - 2, - 'qcd' : kYellow, - 'singleTop' : kMagenta} -# - mcStack = {} - for sample in samplesOfInterest:#sample - for histname in self.histograms[sample].keys(): - self.histograms[sample][histname].Rebin( self.rebin ) - if not sample in ['data', 'allMC']: - self.histograms[sample][histname].Scale( self.scale ) - self.histograms[sample][histname].SetFillStyle( 1001 ) - self.histograms[sample][histname].SetFillColor( colors[sample] ) -## if sample == 'ttbar': -## self.histograms[sample][histname].Scale( 1.15 ) - if not mcStack.has_key( histname ): - mcStack[histname] = THStack( "MC_" + histname, "MC_" + histname ); - mcStack[histname].Add( self.histograms[sample][histname] ) - if sample == 'allMC': - self.histograms[sample][histname].Scale( self.scale ) -# else: -# self.histograms[sample][histname].SetMarkerStyle( 8 ); -# -# - self.histograms['MCStack'] = mcStack -# HistPlotter.setStyle() - self.setStyle() - print "=" * 40 - print "data integrated luminosity:", self.luminosity, self.luminosity_unit - print "MC integrated luminosity:", self.mc_luminosity, self.luminosity_unit - print "MC scale factor: ", self.scale - print '=' * 40 - - - def setStyle( self ): - tdrstyle = setTDRStyle(); - tdrstyle.SetPadRightMargin( 0.05 )#originally was 0.02, too narrow! - tdrStyle.SetStatH( 0.2 ); - tdrStyle.SetOptStat( 0 );#off title - tdrStyle.SetOptFit( 0 );#off title - tdrStyle.cd(); - gROOT.ForceStyle(); - gStyle.SetTitleH( 0.1 ); - gStyle.SetStatH( 0.22 ); #0.24); - gStyle.SetStatW( 0.22 ); #0.26); - gStyle.SetOptStat( 1 ); #on stat - gStyle.SetLineScalePS( 2 ); #D=3 - gStyle.SetOptFit( 112 ); - - - def doClosureTests( self, function = 'gaus' ): - self.useEntryAsData = 'allMC' - self.currentFitFuntion = function - - for fitRange in self.fitRangesClosureTest: - self.currentFitRange = fitRange - for bin in self.jetBins: - self.currentJetBin = bin - self.EstimateJetBin( bin ) - self.plot( self.pfIsoHistogramPrefix + bin, self.pfIsoResults[bin] ) -# self.plot( self.relIsoHistogramPrefix + bin, self.relIsoResults[bin] ) - self.allPfIsoResults['%1.1f-%1.1f' % fitRange] = deepcopy( self.pfIsoResults ) -# self.allRelIsoResults['%1.1f-%1.1f' % fitRange] = deepcopy( self.relIsoResults ) - self.plotClosureTest( self.pfIsoHistogramPrefix, self.allPfIsoResults ) -# self.plotClosureTest( self.relIsoHistogramPrefix, self.allRelIsoResults ) - - - def doEstimate( self, function = 'gaus' ): - self.useEntryAsData = 'data' - self.currentFitFuntion = function - - for fitRange in self.fitRangesEstimation: - self.currentFitRange = fitRange - for bin in self.jetBins: - self.currentJetBin = bin - self.EstimateJetBin( bin ) - self.plot( self.pfIsoHistogramPrefix + bin, self.pfIsoResults[bin] ) - self.plot( self.relIsoHistogramPrefix + bin, self.relIsoResults[bin] ) - self.allPfIsoResults['%1.1f-%1.1f' % fitRange] = deepcopy( self.pfIsoResults ) - self.allRelIsoResults['%1.1f-%1.1f' % fitRange] = deepcopy( self.relIsoResults ) - - def EstimateJetBin( self, jetbin ): -# fitRange = self.currentFitRange - function = self.currentFitFuntion - - QCD = self.histograms['qcd'] - data = self.histograms[self.useEntryAsData] - allMC = self.histograms['allMC'] - pfIsoHist = self.pfIsoHistogramPrefix + jetbin - relIsoHist = self.relIsoHistogramPrefix + jetbin - - self.pfIsoResults[jetbin]['actualNumberOfQCDEvents'] = QCD[pfIsoHist].GetBinContent(1) - self.pfIsoResults[jetbin]['numberOfAllDataEvents'] = data[pfIsoHist].GetBinContent(1) - self.pfIsoResults[jetbin]['numberOfAllMCEvents'] = allMC[pfIsoHist].GetBinContent(1) - - pfIsoFit = self.doFit( data[pfIsoHist] ) - self.pfIsoResults[jetbin]['fitFunction'] = pfIsoFit - self.pfIsoResults[jetbin]['fitParameters'] = self.getFitParameters( pfIsoFit ) - estimate = 0 - if pfIsoFit: - estimate = pfIsoFit.Integral( self.signalRegion[0], self.signalRegion[1] ) / ( self.binWidth * self.rebin ) - - self.pfIsoResults[jetbin]['estimatedNumberOfQCDEvents'] = estimate - -#---------------------------------------------------------------------------------------------------------------------- - self.relIsoResults[jetbin]['actualNumberOfQCDEvents'] = QCD[relIsoHist].GetBinContent(1) - self.relIsoResults[jetbin]['numberOfAllDataEvents'] = data[relIsoHist].GetBinContent(1) - self.relIsoResults[jetbin]['numberOfAllMCEvents'] = allMC[relIsoHist].GetBinContent(1) - - relIsoFit = self.doFit( data[relIsoHist] ) - self.relIsoResults[jetbin]['fitFunction'] = relIsoFit - self.relIsoResults[jetbin]['fitParameters'] = self.getFitParameters( relIsoFit ) - - estimate = relIsoFit.Integral( self.signalRegion[0], self.signalRegion[1] ) / ( self.binWidth * self.rebin ) - self.relIsoResults[jetbin]['estimatedNumberOfQCDEvents'] = estimate - - - - def doFit( self, histogram ): - function = self.currentFitFuntion - fitRange = self.currentFitRange - - if not self.constrainFit: - histogram.Fit( function, "Q0", "ah", fitRange[0], fitRange[1] ) - - else: - ff = TF1( function, function, 0, 1 ); - self.numberOfFreeParameters = ff.GetNumberFreeParameters(); - - return histogram.GetFunction( function ) - - def plot( self, histname, results ): - data = self.histograms[self.useEntryAsData][histname] - mcStack = self.histograms['MCStack'][histname] - fitFunction = results['fitFunction'] - if not fitFunction: - print 'no fitfunction found' - return; - - data.GetXaxis().SetRangeUser( 0, self.maxValue - 0.01 ); - fitFunction.SetLineColor( kRed ); - fitFunction.SetLineWidth( 2 ) - - fitFunction2 = fitFunction.Clone() - fitFunction2.SetLineColor( kBlue ); - fitFunction2.SetRange( self.signalRegion[0], self.signalRegion[1] ); - - fitFunction3 = fitFunction.Clone() - fitFunction3.SetLineColor( kBlue ); - fitFunction3.SetLineStyle( kDashed ); - fitFunction3.SetRange( self.signalRegion[1], self.currentFitRange[0] ); - - canvas = TCanvas( "c1", "Iso fit", 1200, 900 ) - data.Draw(); - - max = 0 - if mcStack.GetMaximum() > data.GetBinContent( 1 ): - max = mcStack.GetMaximum()*1.1 - else: - max = data.GetBinContent( 1 ) * 1.1 - - data.GetYaxis().SetRangeUser( 0, max ); - data.SetXTitle( "Relative Isolation" ); - data.SetYTitle( "Events/0.1" ); - # draw mc - mcStack.Draw( "hist same" ); - data.Draw( "ae same" ); - - fitFunction.Draw( "same" ); - fitFunction2.Draw( "same" ); - fitFunction3.Draw( "same" ); - - label = self.add_cms_label( self.currentJetBin ) - label.Draw() - - legend = self.add_legend( histname ) -# legend.Draw() - - if self.currentFitFuntion == "pol1": - out = "%s_fit_linear_from_0%.0f_%s" % ( histname, self.currentFitRange[0] * 10.0, self.useEntryAsData ); - else: - out = "%s_fit_%s_from_%1.1f_to_%1.1f_%s" % ( histname, self.currentFitFuntion, self.currentFitRange[0], - self.currentFitRange[1], self.useEntryAsData ); -# if self.outputFormat == 'pdf': -# canvas.SaveAs( '%s.eps' % out ); -# gROOT.ProcessLine( ".!ps2pdf -dEPSCrop %s.eps" % out ); -# gROOT.ProcessLine( ".!rm -f %s.eps" % out ); -# else: - canvas.SaveAs( '%s/%s.%s' % ( self.outputFolder, out, self.outputFormat ) ) - - canvas.Close(); #crucial! - - - def plotClosureTest( self, histname, results ): - c2 = TCanvas( "c2", "QCD estimates", 1080, 1080 ); - x = array( 'd', [3, 4] ) - jetBinsOfInterest = [#'1jet', - #'2jets', - '3jets', '4orMoreJets'] - function = self.currentFitFuntion - - gStyle.SetMarkerSize( 1.7 ); - gStyle.SetMarkerStyle( 20 ); - c2.SetTopMargin( 0.1 ); -# c2.SetLeftMargin( 0.12 ); - c2.SetRightMargin( 0.35 ); - - y = {} - for fitRange in self.fitRangesClosureTest: - range = '%1.1f-%1.1f' % fitRange - y[range] = [] - for bin in jetBinsOfInterest: - - est = results[range][bin]['estimatedNumberOfQCDEvents'] - true = results[range][bin]['actualNumberOfQCDEvents'] - variation = 0 - if not true == 0: - variation = ( est - true ) / true -# if bin == '4orMoreJets': -# print bin, fitRange -# print est, true, variation - y[range].append( variation ) - nbins = 3 - gr1 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[0]] ) ) - gr2 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[1]] ) ) - gr3 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[2]] ) ) - gr4 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[3]] ) ) - gr5 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[4]] ) ) - gr6 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[5]] ) ) - gr7 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[6]] ) ) - gr8 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[7]] ) ) - gr9 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[8]] ) ) - - gr1.SetMarkerColor( kGreen + 1 ); - gr2.SetMarkerColor( kGreen + 2 ); - gr3.SetMarkerColor( kGreen + 3 ); - gr4.SetMarkerColor( kAzure + 7 ); - gr5.SetMarkerColor( kAzure - 3 ); - gr6.SetMarkerColor( kBlue ); - gr7.SetMarkerColor( kOrange ); - gr8.SetMarkerColor( kOrange - 1 ); - gr9.SetMarkerColor( kOrange - 6 ); - - gStyle.SetTitleW( 0.9 ); - gStyle.SetTitleH( 0.05 ) - - h = None - if function == "gaus": - h = TH1D( "h", "Variation of QCD estimates with fit range (Gaussian)", 4, 0.5, 4.5 ); - elif function == "pol3": - h = TH1D( "h", "Variation of QCD estimates with fit range (Pol3)", 4, 0.5, 4.5 ); - elif function == "pol1": - h = TH1D( "h", "Variation of QCD estimates with fit range (Pol1)", 4, 0.5, 4.5 ); - elif function == "landau": - h = TH1D( "h", "Variation of QCD estimates with fit range (Landau)", 4, 0.5, 4.5 ); - - h.SetStats( kFALSE ); # no statistics - h.Draw(); - h.SetYTitle( "Deviation = (N_{QCD,est}-N_{QCD,true})/N_{QCD,true}" ); - h.GetYaxis().SetRangeUser( -1, 1 ); - h.GetXaxis().SetRangeUser( 2.5, 5.5 ); -# h.GetXaxis().SetBinLabel( 1, "1j" ); - h.GetXaxis().SetBinLabel( 2, "2j" ); - h.GetXaxis().SetBinLabel( 3, "3j" ); - h.GetXaxis().SetBinLabel( 4, "#geq4j" ); - h.GetXaxis().SetLabelSize( 0.07 ); - h.GetYaxis().SetTitleOffset( 1.3 ); - - gr1.Draw( "P" ); - gr2.Draw( "P" ); #to superimpose graphs, do not re-draw axis - gr3.Draw( "P" ); - gr4.Draw( "P" ); - gr5.Draw( "P" ); - gr6.Draw( "P" ); - gr7.Draw( "P" ); - gr8.Draw( "P" ); - gr9.Draw( "P" ); - - c2.SetGrid( 1, 1 ); - - leg = TLegend( 0.65, 0.1, 0.98, 0.9 ); - leg.SetFillColor( 0 ); - leg.AddEntry( gr1, "Free: 0.1-0.9", "p" ); - leg.AddEntry( gr2, "Free: 0.1-1.0", "p" ); - leg.AddEntry( gr3, "Free: 0.1-1.1", "p" ); - leg.AddEntry( gr4, "Free: 0.2-0.9", "p" ); - leg.AddEntry( gr5, "Free: 0.2-1.0", "p" ); - leg.AddEntry( gr6, "Free: 0.2-1.1", "p" ); - leg.AddEntry( gr7, "Free: 0.3-0.9", "p" ); - leg.AddEntry( gr8, "Free: 0.3-1.0", "p" ); - leg.AddEntry( gr9, "Free: 0.3-1.1", "p" ); - - leg.Draw(); - - c2.SaveAs( "%s/%s_qcd_estimate_%s.%s" % ( self.outputFolder, histname, function, self.outputFormat ) ) - - setRange = h.GetYaxis().SetRangeUser - saveAs = c2.SaveAs - for limit in [1, 2, 3, 6, 8]: - setRange( -limit, limit ); - saveAs( "%s/%s_qcd_estimate_%s_zoom_%d.%s" % ( self.outputFolder, histname, function, limit, self.outputFormat ) ); - - def getFitParameters( self, fitFunction ): - fitParameters = {'chi2':-1, 'numberOfdegreesOfFreedom': 0, 'constrain1': 0, 'constrain2': 0, - 'constrain3': 0, 'constrain4': 0} - if fitFunction: - fitParameters['chi2'] = fitFunction.GetChisquare() - fitParameters['numberOfdegreesOfFreedom'] = fitFunction.GetNDF() - return fitParameters - - def doConstrainedFit( self, histogram, function = 'gaus', limits = ( 0.1, 1.6 ) ): - fitFunction = None - if function == 'gaus': - fitFunction = TF1( "gaus", "gaus", 0, 2 ); - elif function == 'pol3': - fitFunction = TF1( "pol3", "[0] * ( 1 + [1]*x + [2]*x^2 + [3]*x^3 )", 0, 2 ); - elif function == 'landau': - fitFunction = TF1( "landau", "landau", 0, 2 ) - - - myFitResult = data.Fit( function, "Q0", "ah", limits[0], limits[1] ); - - def add_cms_label( self, njet = "" ): - - mytext = TPaveText( 0.3, 0.8, 0.6, 0.93, "NDC" ); - mytext.AddText( "CMS Preliminary" ); - mytext.AddText( "%.1f pb^{-1} at #sqrt{s} = 7 TeV" % self.luminosity ); - if njet != "": - mytext.AddText( "e+jets, %s" % self.jetBinsLatex[njet] ) - mytext.SetFillStyle( 0 ); - mytext.SetBorderSize( 0 ); - mytext.SetTextFont( 42 ); - mytext.SetTextAlign( 13 ); - return mytext - - def add_legend( self, histname ): - function = self.currentFitFuntion - - tt = self.histograms['ttbar'][histname] - wj = self.histograms['wjets'][histname] - zj = self.histograms['zjets'][histname] - data = self.histograms['data'][histname] - QCD = self.histograms['qcd'][histname] - stop = self.histograms['singleTop'][histname] - - leg = TLegend( 0.64, 0.4, 0.9, 0.9 ); - leg.SetFillStyle( 0 ); - leg.SetBorderSize( 0 ); - leg.SetTextFont( 42 ); - - # Here I define coloured lines for use in the legend - blue = TF1( "blue", "pol0", 0, 1 ); - red = TF1( "red", "pol0", 0, 1 ); - - blue.SetLineColor( kBlue ); - red.SetLineColor( kRed ); - - red.SetLineWidth( 2 ); - blue.SetLineWidth( 2 ); - - blue.SetLineStyle( kDashed ); - - # Add entry to legend - if self.useEntryAsData == 'data': - leg.AddEntry( data, "Data", "LP" ); - else: - leg.AddEntry( data, "All MC events", "LP" ); - if function == "pol1": - leg.AddEntry( red, "Linear Fit", "l" ); - elif function == "expo": - leg.AddEntry( red, "Exponenetial Fit", "l" ); - elif function == "gaus": - leg.AddEntry( red, "Gaussian Fit", "l" ); - - leg.AddEntry( blue, "Extrapolation", "l" ); - leg.AddEntry( tt, "t#bar{t}", "F" ); - leg.AddEntry( stop, "Single-Top", "F" ); - leg.AddEntry( wj, "W#rightarrowl#nu", "F" ); - leg.AddEntry( zj, "Z/#gamma*#rightarrowl^{+}l^{-}", "F" ); - leg.AddEntry( QCD, "QCD & #gamma+jets", "F" ); - leg.Draw() - return ( leg, red, blue ) - - def printResults( self, results ): - #self.printJetBinResults( results, '3jets' ) - #print '=' * 60 - #self.printJetBinResults( results, '3orMoreJets' ) - #print '=' * 60 - self.printJetBinResults( results, '4orMoreJets' ) - print '=' * 60 - - - def printJetBinResults( self, results, jetBin ): - estimate = 0 - estimate2 = 0 - predicted = results[results.keys()[0]][jetBin]['actualNumberOfQCDEvents'] - allData = results[results.keys()[0]][jetBin]['numberOfAllDataEvents'] - allMC = results[results.keys()[0]][jetBin]['numberOfAllMCEvents'] - - if jetBin == '4orMoreJets': - print 'Estimation for >= 4 jets' - elif jetBin == '3orMoreJets': - print 'Estimation for >= 3 jets' - elif jetBin == '3jets': - print 'Estimation for == 3 jets' - print 'predicted number of QCD events', predicted - for fitRange in self.fitRangesEstimation: - range = '%1.1f-%1.1f' % fitRange - est = results[range][jetBin]['estimatedNumberOfQCDEvents'] - true = results[range][jetBin]['actualNumberOfQCDEvents'] - variation = ( est - true ) / true - estimate += est - estimate2 += est * est - - - print - print 'estimated number of QCD events' - print 'for range', range, ': ', - print est - print - mean = estimate / len( self.fitRangesEstimation ) - mean2 = estimate2 / len( self.fitRangesEstimation ) - error = sqrt( ( mean2 - mean * mean ) / len( self.fitRangesEstimation ) ) - print 'average estimate', mean, '+-', error - weight = estimate / len( self.fitRangesEstimation ) / predicted - print 'average weight factor', weight - print 'Total number of data in signal bin(<0.1)', allData - print 'Total number of MC in signal bin(<0.1) before reweighting QCD', allMC - print 'Total number of MC in signal bin(<0.1) after reweighting QCD', ( allMC - predicted ) + predicted * weight - - def plotControlRegionComparison( self ): - for bin in self.jetBins: - hist = self.pfIsoHistogramPrefix + bin - histControl = self.pfIsoControlRegionHistogramPrefix + bin - QCD_control = self.histograms['qcd'][histControl] - QCD = self.histograms['qcd'][hist] - nQCD_Control = QCD_control.Integral() - nQCD = QCD.Integral() - if nQCD_Control > 0: - QCD_control.Scale( 1 / nQCD_Control ) - if nQCD > 0: - QCD.Scale( 1 / nQCD ) - QCD_control.SetFillStyle( 3004 ) - QCD.GetXaxis().SetRangeUser( 0., self.maxValue - 0.01 ) - - max = 0 - if QCD.GetMaximum() > QCD_control.GetMaximum(): - max = QCD.GetMaximum()*1.1 - else: - max = QCD_control.GetMaximum()*1.1 - - QCD.GetYaxis().SetRangeUser( 0., max ) - - canvas = TCanvas( "c1", "Shape comparision", 1200, 900 ) - QCD.Draw() - QCD_control.Draw( 'same' ) - label = self.add_cms_label( bin ) - label.Draw() - - leg = TLegend( 0.64, 0.4, 0.9, 0.9 ); - leg.SetFillStyle( 0 ); - leg.SetBorderSize( 0 ); - leg.SetTextFont( 42 ); - leg.AddEntry( QCD_control, 'QCD control region' ) - leg.AddEntry( QCD, 'QCD standard selection' ) - leg.Draw() - - canvas.SaveAs( '%s/%s_shapeComparison.%s' % ( self.outputFolder, hist, self.outputFormat ) ) - - def plotSpecial( self, histname, results, fitRanges ): - data = self.histograms[self.useEntryAsData][histname] - mcStack = self.histograms['MCStack'][histname] - jetBin = HistPlotter.getJetBin(histname) - fitStart = 0.2 - fitfunctions = [] - for fitRange in fitRanges: - fitStart = float(fitRange[:3]) - fitFunction = results[fitRange][jetBin]['fitFunction'] - - if not fitFunction: - print 'no fitfunction found' - return; - fitFunction.SetLineColor( kRed ); - fitFunction.SetLineWidth( 2 ) - - fitFunction2 = fitFunction.Clone() - fitFunction2.SetLineColor( kBlue ); - fitFunction2.SetRange( self.signalRegion[0], self.signalRegion[1] ); - - fitFunction3 = fitFunction.Clone() - fitFunction3.SetLineColor( kBlue ); - fitFunction3.SetLineStyle( kDashed ); - fitFunction3.SetRange( self.signalRegion[1], fitStart ); - fitfunctions.append(fitFunction) - fitfunctions.append(fitFunction2) - fitfunctions.append(fitFunction3) - - data.GetXaxis().SetRangeUser( 0, self.maxValue - 0.01 ); - - canvas = TCanvas( "c1", "Iso fit", 1200, 900 ) - data.Draw(); - - max = 0 - if mcStack.GetMaximum() > data.GetBinContent( 1 ): - max = mcStack.GetMaximum()*1.1 - else: - max = data.GetBinContent( 1 ) * 1.1 - - data.GetYaxis().SetRangeUser( 0, max ); - data.SetXTitle( "Relative Isolation" ); - data.SetYTitle( "Events/0.1" ); - # draw mc - mcStack.Draw( "hist same" ); - data.Draw( "ae same" ); -# data.GetYaxis().Draw('same') - - for fitFunction in fitfunctions: - fitFunction.Draw( "same" ); - - label = self.add_cms_label( jetBin ) - label.Draw() - - legend = self.add_legend( histname ) -# legend.Draw() - - if self.currentFitFuntion == "pol1": - out = "%s_fit_linear_%s" % ( histname, self.useEntryAsData ); - else: - out = "%s_fit_%s_%s" % ( histname, self.currentFitFuntion, self.useEntryAsData ); -# if self.outputFormat == 'pdf': -# canvas.SaveAs( '%s.eps' % out ); -# gROOT.ProcessLine( ".!ps2pdf -dEPSCrop %s.eps" % out ); -# gROOT.ProcessLine( ".!rm -f %s.eps" % out ); -# else: - - HistPlotter.saveAs(canvas, '%s/%s' % (self.outputFolder, out), ['png', 'pdf'] ) -# canvas.SaveAs( '%s/%s.%s' % ( self.outputFolder, out, self.outputFormat ) ) - - canvas.Close(); #crucial! -if __name__ == '__main__': - gROOT.SetBatch( True ) - gROOT.ProcessLine( 'gErrorIgnoreLevel = 3001;' ) - - path = '/storage/results/2011/' - - q = QCDEstimator( inputFiles.files ) - QCDEstimator.outputFolder = '/storage/results/plots/ElectronHad/' - QCDEstimator.outputFormat = 'pdf' - function = 'gaus' - - q.doEstimate( function ) - print '=' * 60 - print 'ParticleFlowIsolation results' - q.printResults( q.allPfIsoResults ) -# q.plot('QCDStudy/QCDest_PFIsolation_1btag_WithMETCutAndAsymJetCuts_', q.allPfIsoResults['0.2-1.1']['3jets']) - fitRanges = ['0.2-1.6','0.3-1.6','0.4-1.6'] - q.plotSpecial('QCDStudy/QCDest_PFIsolation_1btag_WithMETCutAndAsymJetCuts_3jets', q.allPfIsoResults, fitRanges) - #q.pfIsoHistogramPrefix = 'QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts' -# print 'Relative isolation results' -# q.printResults( q.allRelIsoResults ) -# print '=' * 60 - - -# print 'Starting closure tests' -# q.doClosureTests( function ) - q.plotControlRegionComparison() - diff --git a/scripts_old/EstimateQCD2.py b/scripts_old/EstimateQCD2.py deleted file mode 100644 index e5998c14..00000000 --- a/scripts_old/EstimateQCD2.py +++ /dev/null @@ -1,752 +0,0 @@ -from __future__ import division - -import HistGetter -import HistPlotter -from tdrStyle import * -from ROOT import * -from math import pow, exp, sqrt -from copy import deepcopy -from array import array -import inputFiles - -class QCDEstimator: - luminosity = 1091.45#349.007#pb-1 - mc_luminosity = 1091.45#pb-1 - luminosity_unit = 'pb-1' - scale = luminosity / mc_luminosity - jetBins = ['0jet', '0orMoreJets', '1jet', '1orMoreJets', '2jets', '2orMoreJets', '3jets', '3orMoreJets', '4orMoreJets'] - jetBins = HistPlotter.allBjetBins - jetBinsLatex = {'0jet':'0 jet', '0orMoreJets':'#geq 0 jets', '1jet':'1 jet', '1orMoreJets':'#geq 1 jet', - '2jets':'2 jets', '2orMoreJets':'#geq 2 jets', '3jets':'3 jets', '3orMoreJets':'#geq 3 jets', - '4orMoreJets':'#geq 4 jets'} - jetBinsLatex = HistPlotter.BjetBinsLatex - binWidth = 0.01 - rebin = 1 - fitRangesClosureTest = [ ( 0.1, 0.9 ), ( 0.1, 1.0 ), ( 0.1, 1.1 ), - ( 0.2, 0.9 ), ( 0.2, 1.0 ), ( 0.2, 1.1 ), - ( 0.3, 0.9 ), ( 0.3, 1.0 ), ( 0.3, 1.1 )] - - fitRangesEstimation = [# ( 0.1, 1.1 ), - ( 0.2, 1.6 ), - ( 0.3, 1.6 ), - ( 0.4, 1.6 )] - signalRegion = ( 0, 0.1 ) - maxValue = 1.6 - pfIsoHistogramPrefix = 'QCDStudy/QCDest_PFIsolation_WithMETCutAndAsymJetCuts_' - pfIsoHistogramPrefix = 'QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_' - pfIsoControlRegionHistogramPrefix = 'QCDStudy/QCDest_PFIsolation_controlRegion2_WithMETCutAndAsymJetCuts_' - relIsoHistogramPrefix = 'QCDStudy/QCDest_CombRelIso_' - pfIsoResults = {} - relIsoResults = {} - allPfIsoResults = {} - allRelIsoResults = {} - - useEntryAsData = 'data' - constrainFit = False - numberOfFreeParameters = 0 - - currentFitRange = ( 0.1, 1.6 ) - currentFitFuntion = 'gaus' - currentJetBin = jetBins[-1] - - outputFormat = 'pdf' - outputFolder = '' - - def __init__( self, files ): - self.files = files -# HistGetter.samplefiles = files - self.histograms = {} -# self.histGetter = HistGetter() - HistPlotter.setStyle() - self.getHistograms() - self.applyStyleAndCreateStack() - - for bin in self.jetBins: - self.pfIsoResults[bin] = {'actualNumberOfQCDEvents': 0, 'estimatedNumberOfQCDEvents':0, - 'fitFunction': None, 'fitParameters': {}, 'numberOfAllDataEvents':0, - 'numberOfAllMCEvents':0} - self.relIsoResults[bin] = {'actualNumberOfQCDEvents': 0, 'estimatedNumberOfQCDEvents':0, - 'fitFunction': None, 'fitParameters': {}, 'numberOfAllDataEvents':0, - 'numberOfAllMCEvents':0} - - def getHistograms( self ): -# relIsoHists = [self.relIsoHistogramPrefix + jetbin for jetbin in self.jetBins] - pfIsoHists = [self.pfIsoHistogramPrefix + jetbin for jetbin in self.jetBins] -# pfIsoControlHists = [self.pfIsoControlRegionHistogramPrefix + jetbin for jetbin in self.jetBins] -# allHists = relIsoHists - allHists = [] - allHists.extend( pfIsoHists ) -# allHists.extend( pfIsoControlHists ) - #print allHists -# HistGetter.hists = allHists - - self.histograms = HistGetter.getHistsFromFiles(allHists, self.files); - self.histograms = HistGetter.addSampleSum( self.histograms ) - - def applyStyleAndCreateStack( self ): -# self.histograms = HistPlotter.applyDefaultStylesAndColors(self.histograms) - samplesOfInterest = ['data', 'qcd', 'zjets', 'wjets', 'singleTop', 'ttbar', 'allMC'] - colors = {'ttbar' : kRed + 1, - 'wjets' : kGreen - 3, - 'zjets' : kAzure - 2, - 'qcd' : kYellow, - 'singleTop' : kMagenta} -# - mcStack = {} - for sample in samplesOfInterest:#sample - for histname in self.histograms[sample].keys(): - self.histograms[sample][histname].Rebin( self.rebin ) - if not sample in ['data', 'allMC']: - self.histograms[sample][histname].Scale( self.scale ) - self.histograms[sample][histname].SetFillStyle( 1001 ) - self.histograms[sample][histname].SetFillColor( colors[sample] ) -## if sample == 'ttbar': -## self.histograms[sample][histname].Scale( 1.15 ) - if not mcStack.has_key( histname ): - mcStack[histname] = THStack( "MC_" + histname, "MC_" + histname ); - mcStack[histname].Add( self.histograms[sample][histname] ) - if sample == 'allMC': - self.histograms[sample][histname].Scale( self.scale ) -# else: -# self.histograms[sample][histname].SetMarkerStyle( 8 ); -# -# - self.histograms['MCStack'] = mcStack -# HistPlotter.setStyle() - self.setStyle() - print "=" * 40 - print "data integrated luminosity:", self.luminosity, self.luminosity_unit - print "MC integrated luminosity:", self.mc_luminosity, self.luminosity_unit - print "MC scale factor: ", self.scale - print '=' * 40 - - - def setStyle( self ): - tdrstyle = setTDRStyle(); - tdrstyle.SetPadRightMargin( 0.05 )#originally was 0.02, too narrow! - tdrStyle.SetStatH( 0.2 ); - tdrStyle.SetOptStat( 0 );#off title - tdrStyle.SetOptFit( 0 );#off title - tdrStyle.cd(); - gROOT.ForceStyle(); - gStyle.SetTitleH( 0.1 ); - gStyle.SetStatH( 0.22 ); #0.24); - gStyle.SetStatW( 0.22 ); #0.26); - gStyle.SetOptStat( 1 ); #on stat - gStyle.SetLineScalePS( 2 ); #D=3 - gStyle.SetOptFit( 112 ); - - - def doClosureTests( self, function = 'gaus' ): - self.useEntryAsData = 'allMC' - self.currentFitFuntion = function - - for fitRange in self.fitRangesClosureTest: - self.currentFitRange = fitRange - for bin in self.jetBins: - self.currentJetBin = bin - self.EstimateJetBin( bin ) - self.plot( self.pfIsoHistogramPrefix + bin, self.pfIsoResults[bin] ) -# self.plot( self.relIsoHistogramPrefix + bin, self.relIsoResults[bin] ) - self.allPfIsoResults['%1.1f-%1.1f' % fitRange] = deepcopy( self.pfIsoResults ) -# self.allRelIsoResults['%1.1f-%1.1f' % fitRange] = deepcopy( self.relIsoResults ) - self.plotClosureTest( self.pfIsoHistogramPrefix, self.allPfIsoResults ) -# self.plotClosureTest( self.relIsoHistogramPrefix, self.allRelIsoResults ) - - - def doEstimate( self, function = 'gaus' ): - self.useEntryAsData = 'data' - self.currentFitFuntion = function - - for fitRange in self.fitRangesEstimation: - self.currentFitRange = fitRange - for bin in self.jetBins: - self.currentJetBin = bin - self.EstimateJetBin( bin ) - self.plot( self.pfIsoHistogramPrefix + bin, self.pfIsoResults[bin] ) -# self.plot( self.relIsoHistogramPrefix + bin, self.relIsoResults[bin] ) - self.allPfIsoResults['%1.1f-%1.1f' % fitRange] = deepcopy( self.pfIsoResults ) -# self.allRelIsoResults['%1.1f-%1.1f' % fitRange] = deepcopy( self.relIsoResults ) - - def EstimateJetBin( self, jetbin ): -# fitRange = self.currentFitRange - function = self.currentFitFuntion - - QCD = self.histograms['qcd'] - data = self.histograms[self.useEntryAsData] - allMC = self.histograms['allMC'] - pfIsoHist = self.pfIsoHistogramPrefix + jetbin - relIsoHist = self.relIsoHistogramPrefix + jetbin - - self.pfIsoResults[jetbin]['actualNumberOfQCDEvents'] = QCD[pfIsoHist].GetBinContent(1) - self.pfIsoResults[jetbin]['numberOfAllDataEvents'] = data[pfIsoHist].GetBinContent(1) - self.pfIsoResults[jetbin]['numberOfAllMCEvents'] = allMC[pfIsoHist].GetBinContent(1) - - pfIsoFit = self.doFit( data[pfIsoHist] ) - self.pfIsoResults[jetbin]['fitFunction'] = pfIsoFit - self.pfIsoResults[jetbin]['fitParameters'] = self.getFitParameters( pfIsoFit ) - estimate = 0 - if pfIsoFit: - estimate = pfIsoFit.Integral( self.signalRegion[0], self.signalRegion[1] ) / ( self.binWidth * self.rebin ) - - self.pfIsoResults[jetbin]['estimatedNumberOfQCDEvents'] = estimate - -#---------------------------------------------------------------------------------------------------------------------- -# self.relIsoResults[jetbin]['actualNumberOfQCDEvents'] = QCD[relIsoHist].GetBinContent(1) -# self.relIsoResults[jetbin]['numberOfAllDataEvents'] = data[relIsoHist].GetBinContent(1) -# self.relIsoResults[jetbin]['numberOfAllMCEvents'] = allMC[relIsoHist].GetBinContent(1) -# -# relIsoFit = self.doFit( data[relIsoHist] ) -# self.relIsoResults[jetbin]['fitFunction'] = relIsoFit -# self.relIsoResults[jetbin]['fitParameters'] = self.getFitParameters( relIsoFit ) -# -# estimate = relIsoFit.Integral( self.signalRegion[0], self.signalRegion[1] ) / ( self.binWidth * self.rebin ) -# self.relIsoResults[jetbin]['estimatedNumberOfQCDEvents'] = estimate - - - - def doFit( self, histogram ): - function = self.currentFitFuntion - fitRange = self.currentFitRange - - if not self.constrainFit: - histogram.Fit( function, "Q0", "ah", fitRange[0], fitRange[1] ) - - else: - ff = TF1( function, function, 0, 1 ); - self.numberOfFreeParameters = ff.GetNumberFreeParameters(); - - return histogram.GetFunction( function ) - - def plot( self, histname, results ): - data = self.histograms[self.useEntryAsData][histname] - mcStack = self.histograms['MCStack'][histname] - fitFunction = results['fitFunction'] - if not fitFunction: - print 'no fitfunction found' - return; - - data.GetXaxis().SetRangeUser( 0, self.maxValue - 0.01 ); - fitFunction.SetLineColor( kRed ); - fitFunction.SetLineWidth( 2 ) - - fitFunction2 = fitFunction.Clone() - fitFunction2.SetLineColor( kBlue ); - fitFunction2.SetRange( self.signalRegion[0], self.signalRegion[1] ); - - fitFunction3 = fitFunction.Clone() - fitFunction3.SetLineColor( kBlue ); - fitFunction3.SetLineStyle( kDashed ); - fitFunction3.SetRange( self.signalRegion[1], self.currentFitRange[0] ); - - canvas = TCanvas( "c1", "Iso fit", 1200, 900 ) - data.Draw(); - - max = 0 - if mcStack.GetMaximum() > data.GetBinContent( 1 ): - max = mcStack.GetMaximum()*1.1 - else: - max = data.GetBinContent( 1 ) * 1.1 - - data.GetYaxis().SetRangeUser( 0, max ); - data.SetXTitle( "Relative Isolation" ); - data.SetYTitle( "Events/0.1" ); - # draw mc - mcStack.Draw( "hist same" ); - data.Draw( "ae same" ); - - fitFunction.Draw( "same" ); - fitFunction2.Draw( "same" ); - fitFunction3.Draw( "same" ); - - label = self.add_cms_label( self.currentJetBin ) - label.Draw() - - legend = self.add_legend( histname ) -# legend.Draw() - - if self.currentFitFuntion == "pol1": - out = "%s_fit_linear_from_0%.0f_%s" % ( histname, self.currentFitRange[0] * 10.0, self.useEntryAsData ); - else: - out = "%s_fit_%s_from_%1.1f_to_%1.1f_%s" % ( histname, self.currentFitFuntion, self.currentFitRange[0], - self.currentFitRange[1], self.useEntryAsData ); -# if self.outputFormat == 'pdf': -# canvas.SaveAs( '%s.eps' % out ); -# gROOT.ProcessLine( ".!ps2pdf -dEPSCrop %s.eps" % out ); -# gROOT.ProcessLine( ".!rm -f %s.eps" % out ); -# else: - canvas.SaveAs( '%s/%s.%s' % ( self.outputFolder, out, self.outputFormat ) ) - - canvas.Close(); #crucial! - - def plotSpecial( self, histname, results, fitRanges ): - data = self.histograms[self.useEntryAsData][histname] - mcStack = self.histograms['MCStack'][histname] - bjetBin = HistPlotter.getBjetBin(histname) - fitStart = 0.2 - fitfunctions = [] - for fitRange in fitRanges: - fitStart = float(fitRange[:3]) - fitFunction = results[fitRange][bjetBin]['fitFunction'] - - if not fitFunction: - print 'no fitfunction found' - return; - fitFunction.SetLineColor( kRed ); - fitFunction.SetLineWidth( 2 ) - - fitFunction2 = fitFunction.Clone() - fitFunction2.SetLineColor( kBlue ); - fitFunction2.SetRange( self.signalRegion[0], self.signalRegion[1] ); - - fitFunction3 = fitFunction.Clone() - fitFunction3.SetLineColor( kBlue ); - fitFunction3.SetLineStyle( kDashed ); - fitFunction3.SetRange( self.signalRegion[1], fitStart ); - fitfunctions.append(fitFunction) - fitfunctions.append(fitFunction2) - fitfunctions.append(fitFunction3) - - data.GetXaxis().SetRangeUser( 0, self.maxValue - 0.01 ); - - canvas = TCanvas( "c1", "Iso fit", 1200, 900 ) - data.Draw(); - - max = 0 - if mcStack.GetMaximum() > data.GetBinContent( 1 ): - max = mcStack.GetMaximum()*1.1 - else: - max = data.GetBinContent( 1 ) * 1.1 - - data.GetYaxis().SetRangeUser( 0, max ); - data.SetXTitle( "Relative Isolation" ); - data.SetYTitle( "Events/0.1" ); - # draw mc - mcStack.Draw( "hist same" ); - data.Draw( "ae same" ); -# data.GetYaxis().Draw('same') - - for fitFunction in fitfunctions: - fitFunction.Draw( "same" ); - - label = self.add_cms_label( bjetBin ) - label.Draw() - - legend = self.add_legend( histname ) -# legend.Draw() - - if self.currentFitFuntion == "pol1": - out = "%s_fit_linear_%s" % ( histname, self.useEntryAsData ); - else: - out = "%s_fit_%s_%s" % ( histname, self.currentFitFuntion, self.useEntryAsData ); -# if self.outputFormat == 'pdf': -# canvas.SaveAs( '%s.eps' % out ); -# gROOT.ProcessLine( ".!ps2pdf -dEPSCrop %s.eps" % out ); -# gROOT.ProcessLine( ".!rm -f %s.eps" % out ); -# else: - - HistPlotter.saveAs(canvas, '%s/%s' % (self.outputFolder, out), ['png', 'pdf'] ) -# canvas.SaveAs( '%s/%s.%s' % ( self.outputFolder, out, self.outputFormat ) ) - - canvas.Close(); #crucial! - - - def plotClosureTest( self, histname, results ): - c2 = TCanvas( "c2", "QCD estimates", 1080, 1080 ); - x = array( 'd', [1, 2, 3] ) -# jetBinsOfInterest = [#'1jet', -# '2jets', '3jets', '4orMoreJets'] - - jetBinsOfInterest = HistPlotter.exclusiveBjetBins - function = self.currentFitFuntion - - gStyle.SetMarkerSize( 1.7 ); - gStyle.SetMarkerStyle( 20 ); - c2.SetTopMargin( 0.1 ); - c2.SetLeftMargin( 0.12 ); - c2.SetRightMargin( 0.35 ); - - y = {} - for fitRange in self.fitRangesClosureTest: - range = '%1.1f-%1.1f' % fitRange - y[range] = [] - for bin in jetBinsOfInterest: - - est = results[range][bin]['estimatedNumberOfQCDEvents'] - true = results[range][bin]['actualNumberOfQCDEvents'] - variation = 0 - if not true == 0: - variation = ( est - true ) / true - y[range].append( variation ) -# if bin == '1btag': -# print bin, fitRange -# print est, true, variation - nbins = 3 - gr1 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[0]] ) ) - gr2 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[1]] ) ) - gr3 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[2]] ) ) - gr4 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[3]] ) ) - gr5 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[4]] ) ) - gr6 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[5]] ) ) - gr7 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[6]] ) ) - gr8 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[7]] ) ) - gr9 = TGraph( nbins, x, array( 'd', y['%1.1f-%1.1f' % self.fitRangesClosureTest[8]] ) ) - - gr1.SetMarkerColor( kGreen + 1 ); - gr2.SetMarkerColor( kGreen + 2 ); - gr3.SetMarkerColor( kGreen + 3 ); - gr4.SetMarkerColor( kAzure + 7 ); - gr5.SetMarkerColor( kAzure - 3 ); - gr6.SetMarkerColor( kBlue ); - gr7.SetMarkerColor( kOrange ); - gr8.SetMarkerColor( kOrange - 1 ); - gr9.SetMarkerColor( kOrange - 6 ); - - gStyle.SetTitleW( 0.9 ); - gStyle.SetTitleH( 0.05 ) - - h = None - if function == "gaus": - h = TH1D( "h", "Variation of QCD estimates with fit range (Gaussian)", 4, 0.5, 4.5 ); - elif function == "pol3": - h = TH1D( "h", "Variation of QCD estimates with fit range (Pol3)", 4, 0.5, 4.5 ); - elif function == "pol1": - h = TH1D( "h", "Variation of QCD estimates with fit range (Pol1)", 4, 0.5, 4.5 ); - elif function == "landau": - h = TH1D( "h", "Variation of QCD estimates with fit range (Landau)", 4, 0.5, 4.5 ); - - h.SetStats( kFALSE ); # no statistics - h.Draw(); - h.SetYTitle( "Deviation = (N_{QCD,est}-N_{QCD,true})/N_{QCD,true}" ); - h.GetYaxis().SetRangeUser( -1, 1 ); - h.GetXaxis().SetRangeUser( 0.5, 2.5 ); - h.GetXaxis().SetBinLabel( 1, "0btags" ); - h.GetXaxis().SetBinLabel( 2, "1btags" ); - h.GetXaxis().SetBinLabel( 3, "2btags" ); -# h.GetXaxis().SetBinLabel( 4, "3btags" ); - h.GetXaxis().SetLabelSize( 0.07 ); - h.GetYaxis().SetTitleOffset( 1.3 ); - - gr1.Draw( "P" ); - gr2.Draw( "P" ); #to superimpose graphs, do not re-draw axis - gr3.Draw( "P" ); - gr4.Draw( "P" ); - gr5.Draw( "P" ); - gr6.Draw( "P" ); - gr7.Draw( "P" ); - gr8.Draw( "P" ); - gr9.Draw( "P" ); - - c2.SetGrid( 1, 1 ); - - leg = TLegend( 0.65, 0.1, 0.98, 0.9 ); - leg.SetFillColor( 0 ); - leg.AddEntry( gr1, "Free: 0.1-0.9", "p" ); - leg.AddEntry( gr2, "Free: 0.1-1.0", "p" ); - leg.AddEntry( gr3, "Free: 0.1-1.1", "p" ); - leg.AddEntry( gr4, "Free: 0.2-0.9", "p" ); - leg.AddEntry( gr5, "Free: 0.2-1.0", "p" ); - leg.AddEntry( gr6, "Free: 0.2-1.1", "p" ); - leg.AddEntry( gr7, "Free: 0.3-0.9", "p" ); - leg.AddEntry( gr8, "Free: 0.3-1.0", "p" ); - leg.AddEntry( gr9, "Free: 0.3-1.1", "p" ); - - leg.Draw(); - - c2.SaveAs( "%s/%s_qcd_estimate_%s.%s" % ( self.outputFolder, histname, function, self.outputFormat ) ) - - setRange = h.GetYaxis().SetRangeUser - saveAs = c2.SaveAs - for limit in [1, 2, 3, 6, 8]: - setRange( -limit, limit ); - saveAs( "%s/%s_qcd_estimate_%s_zoom_%d.%s" % ( self.outputFolder, histname, function, limit, self.outputFormat ) ); - - def getFitParameters( self, fitFunction ): - fitParameters = {'chi2':-1, 'numberOfdegreesOfFreedom': 0, 'constrain1': 0, 'constrain2': 0, - 'constrain3': 0, 'constrain4': 0} - if fitFunction: - fitParameters['chi2'] = fitFunction.GetChisquare() - fitParameters['numberOfdegreesOfFreedom'] = fitFunction.GetNDF() - return fitParameters - - def doConstrainedFit( self, histogram, function = 'gaus', limits = ( 0.1, 1.6 ) ): - fitFunction = None - if function == 'gaus': - fitFunction = TF1( "gaus", "gaus", 0, 2 ); - elif function == 'pol3': - fitFunction = TF1( "pol3", "[0] * ( 1 + [1]*x + [2]*x^2 + [3]*x^3 )", 0, 2 ); - elif function == 'landau': - fitFunction = TF1( "landau", "landau", 0, 2 ) - - - myFitResult = data.Fit( function, "Q0", "ah", limits[0], limits[1] ); - - def add_cms_label( self, njet = "" ): - - mytext = TPaveText( 0.3, 0.8, 0.6, 0.93, "NDC" ); - mytext.AddText( "CMS Preliminary" ); - mytext.AddText( "%.1f pb^{-1} at #sqrt{s} = 7 TeV" % self.luminosity ); - if njet != "": - mytext.AddText( "e+jets, %s" % self.jetBinsLatex[njet] ) - mytext.SetFillStyle( 0 ); - mytext.SetBorderSize( 0 ); - mytext.SetTextFont( 42 ); - mytext.SetTextAlign( 13 ); - return mytext - - def add_legend( self, histname ): - function = self.currentFitFuntion - - tt = self.histograms['ttbar'][histname] - wj = self.histograms['wjets'][histname] - zj = self.histograms['zjets'][histname] - data = self.histograms['data'][histname] - QCD = self.histograms['qcd'][histname] - stop = self.histograms['singleTop'][histname] - - leg = TLegend( 0.64, 0.4, 0.9, 0.9 ); - leg.SetFillStyle( 0 ); - leg.SetBorderSize( 0 ); - leg.SetTextFont( 42 ); - - # Here I define coloured lines for use in the legend - blue = TF1( "blue", "pol0", 0, 1 ); - red = TF1( "red", "pol0", 0, 1 ); - - blue.SetLineColor( kBlue ); - red.SetLineColor( kRed ); - - red.SetLineWidth( 2 ); - blue.SetLineWidth( 2 ); - - blue.SetLineStyle( kDashed ); - - # Add entry to legend - if self.useEntryAsData == 'data': - leg.AddEntry( data, "Data", "LP" ); - else: - leg.AddEntry( data, "All MC events", "LP" ); - if function == "pol1": - leg.AddEntry( red, "Linear Fit", "l" ); - elif function == "expo": - leg.AddEntry( red, "Exponenetial Fit", "l" ); - elif function == "gaus": - leg.AddEntry( red, "Gaussian Fit", "l" ); - - leg.AddEntry( blue, "Extrapolation", "l" ); - leg.AddEntry( tt, "t#bar{t}", "F" ); - leg.AddEntry( stop, "Single-Top", "F" ); - leg.AddEntry( wj, "W#rightarrowl#nu", "F" ); - leg.AddEntry( zj, "Z/#gamma*#rightarrowl^{+}l^{-}", "F" ); - leg.AddEntry( QCD, "QCD & #gamma+jets", "F" ); - leg.Draw() - return ( leg, red, blue ) - - def printResults( self, results ): - self.printJetBinResults( results, '0btag' ) - print '=' * 60 - self.printJetBinResults( results, '1btag' ) - print '=' * 60 - self.printJetBinResults( results, '2btags' ) - print '=' * 60 - self.printJetBinResults( results, '3btags' ) - print '=' * 60 - - self.printJetBinResults( results, '0orMoreBtag' ) - print '=' * 60 - self.printJetBinResults( results, '1orMoreBtag' ) - print '=' * 60 - self.printJetBinResults( results, '2orMoreBtags' ) - print '=' * 60 - self.printJetBinResults( results, '3orMoreBtags' ) - print '=' * 60 - self.printJetBinResults( results, '4orMoreBtags' ) - print '=' * 60 - - def printTwikiTable(self, results): - - summary = self.getSummeryOfAllResults(results) - - estimates = (summary['0btag'][0], summary['0btag'][1], - summary['1btag'][0], summary['1btag'][1], - summary['2btags'][0], summary['2btags'][1], - summary['3btags'][0], summary['3btags'][1], - summary['4orMoreBtags'][0], summary['4orMoreBtags'][1]) - predictions = (summary['0btag'][2], - summary['1btag'][2], - summary['2btags'][2], - summary['3btags'][2], - summary['4orMoreBtags'][2]) - print '| * * | *0 b-tag* | *1 b-tag* | *2 b-tags* | *3 b-tags* | *4 b-tags* |' - print '| estimate | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f|' %estimates - print '| expected | %.2f | %.2f | %.2f | %.2f | %.2f |' % predictions - - - estimates = (summary['0orMoreBtag'][0], summary['0orMoreBtag'][1], - summary['1orMoreBtag'][0], summary['1orMoreBtag'][1], - summary['2orMoreBtags'][0], summary['2orMoreBtags'][1], - summary['3orMoreBtags'][0], summary['3orMoreBtags'][1], - summary['4orMoreBtags'][0], summary['4orMoreBtags'][1]) - predictions = (summary['0orMoreBtag'][2], - summary['1orMoreBtag'][2], - summary['2orMoreBtags'][2], - summary['3orMoreBtags'][2], - summary['4orMoreBtags'][2]) - print '| * * | *>=0 b-tag* | *>= 1 b-tag* | *>=2 b-tags* | *>=3 b-tags* | *>=4 b-tags* |' - print '| estimate | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f|' %estimates - print '| expected | %.2f | %.2f | %.2f | %.2f | %.2f |' % predictions - - - def getSummeryOfAllResults(self, results): - summary = {} - summary['0btag'] = self.getSummaryOfResult(results, '0btag') - summary['1btag'] = self.getSummaryOfResult(results, '1btag') - summary['2btags'] = self.getSummaryOfResult(results, '2btags') - summary['3btags'] = self.getSummaryOfResult(results, '3btags') - - summary['0orMoreBtag'] = self.getSummaryOfResult(results, '0orMoreBtag') - summary['1orMoreBtag'] = self.getSummaryOfResult(results, '1orMoreBtag') - summary['2orMoreBtags'] = self.getSummaryOfResult(results, '2orMoreBtags') - summary['3orMoreBtags'] = self.getSummaryOfResult(results, '3orMoreBtags') - summary['4orMoreBtags'] = self.getSummaryOfResult(results, '4orMoreBtags') - return summary - - def getSummaryOfResult(self, results, bin): - estimate = 0 - estimate2 = 0 - predicted = results[results.keys()[0]][bin]['actualNumberOfQCDEvents'] - allData = results[results.keys()[0]][bin]['numberOfAllDataEvents'] - allMC = results[results.keys()[0]][bin]['numberOfAllMCEvents'] - - for fitRange in self.fitRangesEstimation: - range = '%1.1f-%1.1f' % fitRange - est = results[range][bin]['estimatedNumberOfQCDEvents'] - true = results[range][bin]['actualNumberOfQCDEvents'] - variation = est - if not true == 0: - variation = ( est - true ) / true - estimate += est - estimate2 += est * est - - mean = estimate / len( self.fitRangesEstimation ) - mean2 = estimate2 / len( self.fitRangesEstimation ) - error = sqrt( ( mean2 - mean * mean ) / len( self.fitRangesEstimation ) ) - weight = 0 - if not predicted == 0: - weight = estimate / len( self.fitRangesEstimation ) / predicted - - return (mean, error, predicted) - - def printJetBinResults( self, results, jetBin ): - estimate = 0 - estimate2 = 0 - predicted = results[results.keys()[0]][jetBin]['actualNumberOfQCDEvents'] - allData = results[results.keys()[0]][jetBin]['numberOfAllDataEvents'] - allMC = results[results.keys()[0]][jetBin]['numberOfAllMCEvents'] - print jetBin - if jetBin == '4orMoreJets': - print 'Estimation for >= 4 jets' - elif jetBin == '3orMoreJets': - print 'Estimation for >= 3 jets' - elif jetBin == '3jets': - print 'Estimation for == 3 jets' - print 'predicted number of QCD events', predicted - for fitRange in self.fitRangesEstimation: - range = '%1.1f-%1.1f' % fitRange - est = results[range][jetBin]['estimatedNumberOfQCDEvents'] - true = results[range][jetBin]['actualNumberOfQCDEvents'] - variation = est - if not true == 0: - variation = ( est - true ) / true - estimate += est - estimate2 += est * est - - - print - print 'estimated number of QCD events' - print 'for range', range, ': ', - print est - print - mean = estimate / len( self.fitRangesEstimation ) - mean2 = estimate2 / len( self.fitRangesEstimation ) - error = sqrt( ( mean2 - mean * mean ) / len( self.fitRangesEstimation ) ) - print 'average estimate', mean, '+-', error - weight = 0 - if not predicted == 0: - weight = estimate / len( self.fitRangesEstimation ) / predicted - print 'average weight factor', weight - print 'Total number of data in signal bin(<0.1)', allData - print 'Total number of MC in signal bin(<0.1) before reweighting QCD', allMC - print 'Total number of MC in signal bin(<0.1) after reweighting QCD', ( allMC - predicted ) + predicted * weight - - def plotControlRegionComparison( self ): - for bin in self.jetBins: - hist = self.pfIsoHistogramPrefix + bin - histControl = self.pfIsoControlRegionHistogramPrefix + bin - QCD_control = self.histograms['qcd'][histControl] - QCD = self.histograms['qcd'][hist] - nQCD_Control = QCD_control.Integral() - nQCD = QCD.Integral() - if nQCD_Control > 0: - QCD_control.Scale( 1 / nQCD_Control ) - if nQCD > 0: - QCD.Scale( 1 / nQCD ) - QCD_control.SetFillStyle( 3004 ) - QCD.GetXaxis().SetRangeUser( 0., self.maxValue - 0.01 ) - - max = 0 - if QCD.GetMaximum() > QCD_control.GetMaximum(): - max = QCD.GetMaximum()*1.1 - else: - max = QCD_control.GetMaximum()*1.1 - - QCD.GetYaxis().SetRangeUser( 0., max ) - - canvas = TCanvas( "c1", "Shape comparision", 1200, 900 ) - QCD.Draw() - QCD_control.Draw( 'same' ) - label = self.add_cms_label( bin ) - label.Draw() - - leg = TLegend( 0.64, 0.4, 0.9, 0.9 ); - leg.SetFillStyle( 0 ); - leg.SetBorderSize( 0 ); - leg.SetTextFont( 42 ); - leg.AddEntry( QCD_control, 'QCD control region' ) - leg.AddEntry( QCD, 'QCD standard selection' ) - leg.Draw() - - canvas.SaveAs( '%s/%s_shapeComparison.%s' % ( self.outputFolder, hist, self.outputFormat ) ) - - -if __name__ == '__main__': - gROOT.SetBatch( True ) - gROOT.ProcessLine( 'gErrorIgnoreLevel = 3001;' ) - - path = '/storage/results/2011/' - - q = QCDEstimator( inputFiles.files ) - QCDEstimator.outputFolder = '/storage/results/plots/ElectronHad/' - QCDEstimator.outputFormat = 'png' - function = 'expo' - - q.doEstimate( function ) - print '=' * 60 - print 'ParticleFlowIsolation results' - q.printTwikiTable(q.allPfIsoResults) -# q.printResults( q.allPfIsoResults ) - fitRanges = ['0.2-1.6','0.3-1.6','0.4-1.6'] - q.plotSpecial('QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_0btag', q.allPfIsoResults, fitRanges) - q.plotSpecial('QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_1btag', q.allPfIsoResults, fitRanges) - q.plotSpecial('QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_2btags', q.allPfIsoResults, fitRanges) -# q.plot('QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_3orMoreBtags', q.allPfIsoResults['0.2-1.1']['3orMoreBtags']) - #q.pfIsoHistogramPrefix = 'QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts' -# print 'Relative isolation results' -# q.printResults( q.allRelIsoResults ) -# print '=' * 60 - - -# print 'Starting closure tests' - q.doClosureTests( function) -# q.plotControlRegionComparison() - diff --git a/scripts_old/HistGetter.py b/scripts_old/HistGetter.py deleted file mode 100644 index 9ec80b82..00000000 --- a/scripts_old/HistGetter.py +++ /dev/null @@ -1,251 +0,0 @@ -from ROOT import * -#from math import fsum -btag_bins_inclusive = ['0orMoreBtag', '1orMoreBtag', '2orMoreBtags', '3orMoreBtags'] -btag_sums = { - '0orMoreBtag':['0btag', '1btag', '2btags', '3btags', '4orMoreBtags'], - '1orMoreBtag':['1btag', '2btags', '3btags', '4orMoreBtags'], - '2orMoreBtags':['2btags', '3btags', '4orMoreBtags'], - '3orMoreBtags':['3btags', '4orMoreBtags'] - } - -def getHistsFromFiles( histnames = [], files = {}, bJetBins = [], jetBins = [] ): - TFileOpen = TFile.Open - allHists = {} - gcd = gROOT.cd - - if bJetBins and jetBins: - print 'enabling both binnings at the same time is not supported!' - return [] - - if bJetBins: - histnames = [name + '_' + bjetBin for name in histnames for bjetBin in bJetBins] - - if jetBins: - histnames = [name + '_' + jetBin for name in histnames for jetBin in jetBins] - - for sample, filename in files.iteritems(): - file = TFileOpen( filename ) - if not file: - print "Could not find file:", filename - return - allHists[sample] = {} - fg = file.Get - gcd() - rootHist = None - for hist in histnames: - btag_found = '' - for btag in btag_bins_inclusive: - if btag in hist: - btag_found = btag - break - if btag_found == '': - rootHist = fg(hist) - if not rootHist: - print filename - print 'sample:', sample, ',hist:', hist, "could not be found." - continue - else: - listOfExclusiveBins = btag_sums[btag_found] - exclhists = [] - for excbin in listOfExclusiveBins: - fhist = fg(hist.replace(btag_found, excbin)) - if not fhist: - print filename - print 'sample:', sample, ',hist:', hist, "could not be found." - continue - exclhists.append(fhist) - rootHist = exclhists[0].Clone() - for fhist in exclhists[1:]: - rootHist.Add(fhist) -# fhist = fg( hist ) -# if not fhist: -# print filename -# print 'sample:', sample, ',hist:', hist, "could not be found." -# continue - allHists[sample][hist] = rootHist.Clone() - return allHists - -def sumHistograms(listOfHistograms): - if not listOfHistograms: - return None - newHistogram = listOfHistograms[0].Clone() - for histogram in listOfHistograms[1:]: - newHistogram.Add(histogram) - return newHistogram - - -def addSampleSum( hists = {} ): - qcdList = {} - mc_all_list = {} - singleTopList = {} - wjets = {} - - qcdSamples = ['bce1', 'bce2', 'bce3', 'enri1', 'enri2', 'enri3', 'pj1', 'pj2', 'pj3'] - allMCSamples = ['ttbar', 'wjets', 'zjets', 'bce1', 'bce2', 'bce3', 'enri1', - 'enri2', 'enri3', 'pj1', 'pj2', 'pj3', 'T_TuneZ2_tW-channel', 'T_TuneZ2_t-channel', 'T_TuneZ2_s-channel', - 'Tbar_TuneZ2_tW-channel', 'Tbar_TuneZ2_t-channel', 'Tbar_TuneZ2_s-channel'] - singleTopSamples = ['T_TuneZ2_tW-channel', 'T_TuneZ2_t-channel', 'T_TuneZ2_s-channel', - 'Tbar_TuneZ2_tW-channel', 'Tbar_TuneZ2_t-channel', 'Tbar_TuneZ2_s-channel'] - wjetsSamples = ['W1Jet', 'W2Jets', 'W3Jets', 'W4Jets'] - - - for sample, histlist in hists.iteritems(): - for histname, hist in histlist.iteritems(): - if sample in qcdSamples: - if not qcdList.has_key( histname ): - qcdList[histname] = hist.Clone( 'qcd' ) - else: - qcdList[histname].Add( hist ) - - if sample in allMCSamples: - if not mc_all_list.has_key( histname ): - mc_all_list[histname] = hist.Clone( 'all_mc' ) - else: - mc_all_list[histname].Add( hist ) - - if sample in singleTopSamples: - if not singleTopList.has_key( histname ): - singleTopList[histname] = hist.Clone( 'singleTop' ) - else: - singleTopList[histname].Add( hist ) - if sample in wjetsSamples: - if not wjets.has_key( histname ): - wjets[histname] = hist.Clone( 'wjets' ) - else: - wjets[histname].Add( hist ) - - hists['qcd'] = qcdList - hists['allMC'] = mc_all_list - hists['singleTop'] = singleTopList - hists['wjets'] = wjets - return hists - -def makeDetailedMCStack( hists ): - - allMCSamples = ['bce1', 'bce2', 'bce3', 'enri1', - 'enri2', 'enri3', 'pj1', 'pj2', 'pj3', 'zjets', 'wjets','T_TuneZ2_tW-channel', 'T_TuneZ2_t-channel', 'T_TuneZ2_s-channel', - 'Tbar_TuneZ2_tW-channel', 'Tbar_TuneZ2_t-channel', 'Tbar_TuneZ2_s-channel', 'ttbar' ] - - hists['allMCDetailed'] = makeStack( hists, allMCSamples ) - return hists -# mcStack = {} -# -# for sample in allMCSamples: -# if hists.has_key(sample): -# histlist = hists[sample] -# for histname, hist in histlist.iteritems(): -# if sample in allMCSamples: -# if not mcStack.has_key( histname ): -# mcStack[histname] = THStack("MC", "MC") -# mcStack[histname].Add( hist ) -# hists['allMCDetailed'] = mcStack -# return hists - -def makeMCStack( hists ): - - allMCSamples = ['qcd', 'zjets', 'wjets', 'singleTop', 'ttbar'] - hists['allMCStack'] = makeStack( hists, allMCSamples ) - return hists - -def makeStack( hists, samples ): - mcStack = {} - - for sample in samples: - if hists.has_key( sample ): - histlist = hists[sample] - for histname, hist in histlist.iteritems(): - if not mcStack.has_key( histname ): - mcStack[histname] = THStack( "MC", "MC" ) - mcStack[histname].Add( hist ) - - return mcStack - -def addJetSum( hists ): - allhists = ['QCDest_CombRelIso_0jet', 'QCDest_CombRelIso_1jet', 'QCDest_CombRelIso_2jets', - 'QCDest_CombRelIso_3jets', 'QCDest_CombRelIso_4orMoreJets'] - oneOrMore = ['QCDest_CombRelIso_1jet', 'QCDest_CombRelIso_2jets', - 'QCDest_CombRelIso_3jets', 'QCDest_CombRelIso_4orMoreJets'] - twoOrMore = ['QCDest_CombRelIso_2jets', - 'QCDest_CombRelIso_3jets', 'QCDest_CombRelIso_4orMoreJets'] - threeOrMore = ['QCDest_CombRelIso_3jets', 'QCDest_CombRelIso_4orMoreJets'] - - addUp = addUpHistograms - for sample, histlist in hists.iteritems(): - if( len( hists[sample].keys() ) == 0 ): - continue - hists[sample]['QCDest_CombRelIso_0orMoreJets'] = addUp( hists[sample], allhists ) - hists[sample]['QCDest_CombRelIso_1orMoreJets'] = addUp( hists[sample], oneOrMore ) - hists[sample]['QCDest_CombRelIso_2orMoreJets'] = addUp( hists[sample], twoOrMore ) - hists[sample]['QCDest_CombRelIso_3orMoreJets'] = addUp( hists[sample], threeOrMore ) - return hists - -def addUpHistograms( dictOfHists, histsToAdd ): - hist = dictOfHists[histsToAdd[0]].Clone() - hadd = hist.Add - [hadd( h ) for name, h in dictOfHists.iteritems() if name in histsToAdd[1:]] - return hist - - -def joinHistogramDictionaries(listOfDicts): - joinedDicts = {} - for histDict in listOfDicts: - for sample, hists in histDict.iteritems(): - if not joinedDicts.has_key(sample): - joinedDicts[sample] = {} - - for histname, hist in hists.iteritems(): - joinedDicts[sample][histname] = hist - return joinedDicts - -if __name__ == "__main__": - histnames = ['QCDest_CombRelIso_0jet', 'QCDest_CombRelIso_1jet', 'QCDest_CombRelIso_2jets', - 'QCDest_CombRelIso_3jets', 'QCDest_CombRelIso_4orMoreJets'] - files = {'data':"/storage/workspace/BristolAnalysisTools/outputfiles/new/data_35pb_PFElectron_PF2PATJets_PFMET.root", - 'ttbar' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/ttjet_35pb_PFElectron_PF2PATJets_PFMET.root", - 'wjets' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/wj_35pb_PFElectron_PF2PATJets_PFMET.root", - 'zjets' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/zj_35pb_PFElectron_PF2PATJets_PFMET.root", -# 'bce1' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/bce1_35pb.root", - 'bce2' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/bce2_35pb_PFElectron_PF2PATJets_PFMET.root", - 'bce3' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/bce3_35pb_PFElectron_PF2PATJets_PFMET.root", - 'enri1' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/enri1_35pb_PFElectron_PF2PATJets_PFMET.root", - 'enri2' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/enri2_35pb_PFElectron_PF2PATJets_PFMET.root", - 'enri3' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/enri3_35pb_PFElectron_PF2PATJets_PFMET.root", - 'pj1' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/pj1_35pb_PFElectron_PF2PATJets_PFMET.root", - 'pj2' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/pj2_35pb_PFElectron_PF2PATJets_PFMET.root", - 'pj3' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/pj3_35pb_PFElectron_PF2PATJets_PFMET.root"} -# 'tW' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/tW_35pb_PFElectron_PF2PATJets_PFMET.root", -# 'tchan' : "/storage/workspace/BristolAnalysisTools/outputfiles/new/tchan_35pb_PFElectron_PF2PATJets_PFMET.root"} -# HistGetter.samplefiles = files -# HG = HistGetter() -# HG.setStyle() - hists = getHistsFromFiles( histnames, files ) - hists = addSampleSum( hists ) - hists = addJetSum( hists ) - qcdSamples = ['bce1', 'bce2', 'bce3', 'enri1', 'enri2', 'enri3', 'pj1', 'pj2', 'pj3'] - allMCSamples = ['ttbar', 'wjets', 'zjets', 'tW', 'tchan', 'bce1', 'bce2', 'bce3', 'enri1', - 'enri2', 'enri3', 'pj1', 'pj2', 'pj3'] - singleTopSamples = ['tW', 'tchan'] - - nqcd = 0 - nstop = 0 - nmc = 0 - nqcd = sum( [hists[sample]['QCDest_CombRelIso_0jet'].Integral() for sample in qcdSamples if hists.has_key( sample )] ) -# nstop = sum([hists[sample][0].Integral() for sample in singleTopSamples if hists.has_key(sample)]) - nmc = sum( [hists[sample]['QCDest_CombRelIso_0jet'].Integral() for sample in allMCSamples if hists.has_key( sample )] ) - print hists['qcd']['QCDest_CombRelIso_0jet'].Integral(), nqcd -# print hists['singleTop'][0].Integral(), nstop - print hists['allMC']['QCDest_CombRelIso_0jet'].Integral(), nmc - print - print hists['allMC']['QCDest_CombRelIso_0orMoreJets'].Integral(), hists['allMC']['QCDest_CombRelIso_0jet'].Integral() - print hists['allMC']['QCDest_CombRelIso_1orMoreJets'].Integral(), hists['allMC']['QCDest_CombRelIso_1jet'].Integral() - print hists['allMC']['QCDest_CombRelIso_2orMoreJets'].Integral(), hists['allMC']['QCDest_CombRelIso_2jets'].Integral() - print hists['allMC']['QCDest_CombRelIso_3orMoreJets'].Integral(), hists['allMC']['QCDest_CombRelIso_3jets'].Integral() - print hists['allMC']['QCDest_CombRelIso_4orMoreJets'].Integral() - print hists['allMC'].keys() - c = [] - for histname, hist in hists['allMC'].iteritems(): - c.append( TCanvas( "cname" + histname, histname, 800, 600 ) ) - c[-1].cd() - hist.Draw() - - a = raw_input() diff --git a/scripts_old/HistPlotter.py b/scripts_old/HistPlotter.py deleted file mode 100644 index 31bc9921..00000000 --- a/scripts_old/HistPlotter.py +++ /dev/null @@ -1,238 +0,0 @@ -from __future__ import division -from tdrStyle import * -from ROOT import gROOT, kRed, kGreen, kAzure, kBlue, kYellow, kMagenta, kTeal, kCyan, kOrange, TPaveText, TCanvas -import os - - -inclusiveJetBins = [ - "0orMoreJets", - "1orMoreJets", - "2orMoreJets", - "3orMoreJets" , - "4orMoreJets"] - -exclusiveJetBins = [ - "0jet", - "1jet", - "2jets", - "3jets"] - -inclusiveBjetBins = [ - "0orMoreBtag", - "1orMoreBtag", - "2orMoreBtags", - "3orMoreBtags", - '4orMoreBtags' ] - -exclusiveBjetBins = [ - '0btag', - "1btag", - "2btags", - "3btags"] - -allJetBins = [] -allJetBins.extend(inclusiveJetBins) -allJetBins.extend(exclusiveJetBins) - -allBjetBins = [] -allBjetBins.extend(inclusiveBjetBins) -allBjetBins.extend(exclusiveBjetBins) - -jetBinsLatex = {'0jet':'0 jet', '0orMoreJets':'#geq 0 jets', '1jet':'1 jet', '1orMoreJets':'#geq 1 jet', - '2jets':'2 jets', '2orMoreJets':'#geq 2 jets', '3jets':'3 jets', '3orMoreJets':'#geq 3 jets', - '4orMoreJets':'#geq 4 jets'} - -BjetBinsLatex = {'0btag':'0 b-tags', '0orMoreBtag':'#geq 0 b-tags', '1btag':'1 b-tags', - '1orMoreBtag':'#geq 1 b-tags', - '2btags':'2 b-tags', '2orMoreBtags':'#geq 2 b-tags', - '3btags':'3 b-tags', '3orMoreBtags':'#geq 3 b-tags', - '4orMoreBtags':'#geq 4 b-tags'} - -def setStyle(): - tdrStyle = setTDRStyle(); - - #slight adaptation - tdrStyle.SetPadRightMargin( 0.05 ); #originally was 0.02, too narrow! - tdrStyle.SetStatH( 0.2 ); - #tdrStyle.SetOptStat(1110);//off title - tdrStyle.SetOptStat( 0 );#off title - tdrStyle.SetOptFit( 0 );#off title - tdrStyle.cd(); - gROOT.ForceStyle(); - - -def rebin( hists, nbins, histname ): - for sample in hists.keys(): - if len( hists[sample].keys() ) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - hists[sample][name].Rebin( nbins ) - elif hists[sample].has_key( histname ): - hists[sample][histname].Rebin( nbins ) - return hists - -def setXRange( hists, limits = ( 0, 5000 ), histname = '' ): - for sample in hists.keys(): - if len( hists[sample].keys() ) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - if hists[sample][name] and hists[sample][name].GetXaxis(): - hists[sample][name].GetXaxis().SetRangeUser( limits[0], limits[1] ) - else: - print "Can't find histogram", sample, name - elif hists[sample].has_key( histname ): - if hists[sample][name]: - hists[sample][histname].GetXaxis().SetRangeUser( limits[0], limits[1] ); - else: - print "Can't find histogram", sample, name - return hists - - -def setXTitle( hists, title, histname = '' ): - for sample in hists.keys(): - if len( hists[sample].keys() ) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - hists[sample][name].SetXTitle( title ) - elif hists[sample].has_key( histname ): - hists[sample][histname].SetXTitle( title ); - return hists - -def setYTitle( hists, title, histname = '' ): - for sample in hists.keys(): - if len( hists[sample].keys() ) == 0 or 'Stack' in sample: - continue - if '*' in histname: - nameToken = histname.replace('*', '') - histlist = hists[sample] - for name in histlist.keys(): - if nameToken in name: - hists[sample][name].SetYTitle( title ) - elif hists[sample].has_key( histname ): - hists[sample][histname].SetYTitle( title ); - return hists - -# for sample in hists.keys(): -# if len( hists[sample].keys() ) == 0 or not hists[sample].has_key( histname ) or not len( limits ) == 2: -# continue -# hists[sample][histname].GetXaxis().SetRangeUser( limits[0], limits[1] ); -# return hists - -def applyDefaultStylesAndColors( hists ): - defaultColors = {'data':0, - 'ttbar' : kRed + 1, - 'wjets' : kGreen - 3, - 'zjets' : kAzure - 2, - 'bce1' : kRed-7, - 'bce2' : kRed-8, - 'bce3' : kRed-9, - 'enri1' : kBlue-7, - 'enri2' : kBlue-8, - 'enri3' : kBlue-9, - 'pj1' : kYellow-7, - 'pj2' : kYellow-8, - 'pj3' : kYellow-9, - 'qcd': kYellow, - 'singleTop': kMagenta, - 'Zprime500': kTeal - 9, - 'Zprime750': kBlue - 6, - 'Zprime1000': 28, - 'Zprime1250': kCyan - 5, - 'Zprime1500': kOrange + 1, } - - for sample, histlist in hists.iteritems(): - if not sample in defaultColors.keys(): - continue - for histname, hist in histlist.iteritems(): - hists[sample][histname].SetFillColor( defaultColors[sample] ) - if histname == 'data': - hists[sample][histname].SetMarkerStyle( 8 ) - elif 'Zprime' in histname: - hists[sample][histname].SetFillStyle( 0 ) - hists[sample][histname].SetLineColor( defaultColors[sample] ) - else: - hists[sample][histname].SetFillStyle( 1001 ); - hists[sample][histname].SetFillColor( defaultColors[sample] ) - - return hists - -def get_cms_label( lumiInInvPb, njet = "4orMoreJets", nbjet = "0orMoreBtag", channel = "e" ): - mytext = TPaveText( 0.5, 0.97, 1, 1.01, "NDC" ) - channelLabel = TPaveText( 0.15, 0.965, 0.4, 1.01, "NDC" ) - channelLabel.AddText(channel + ", %s, %s" % (jetBinsLatex[njet], BjetBinsLatex[nbjet] )) - mytext.AddText( "CMS Preliminary, L = %.1f fb^{-1} at #sqrt{s} = 8 TeV" % (lumiInInvPb/1000.)); -# if njet != "": -# mytext.AddText( channel + ", %s, %s" % (jetBinsLatex[njet], BjetBinsLatex[nbjet] )) - - mytext.SetFillStyle( 0 ); - mytext.SetBorderSize( 0 ); - mytext.SetTextFont( 42 ); - mytext.SetTextAlign( 13 ); - - channelLabel.SetFillStyle( 0 ); - channelLabel.SetBorderSize( 0 ); - channelLabel.SetTextFont( 42 ); - channelLabel.SetTextAlign( 13 ); - - return mytext, channelLabel - -def getJetBin(histname): - for bin in allJetBins: - if bin in histname: - return bin - if 'ThreeJet' in histname: - return '3jets' - #default - return '4orMoreJets' - -def getBjetBin(histname): - for bin in allBjetBins: - if bin in histname: - return bin - #default - return '0orMoreBtag' - -def getChannel(histname): - if 'Muon' in histname or 'MuPlusJets' in histname: - return '#mu' - else: - return 'e' - -def normalise(histogram): - if histogram and histogram.Integral() > 0: - histogram.Scale(1/histogram.Integral()) - return histogram - -def saveAs(canvas, name, outputFormats= ['png'], outputFolder = ''): - canvas.RedrawAxis() - if not outputFolder == '' and not outputFolder.endswith('/'): - outputFolder += '/' - for outputFormat in outputFormats: - fullFileName = outputFolder + name + '.' + outputFormat - if '/' in fullFileName: - path = fullFileName[:fullFileName.rfind('/')] - createFolderIfDoesNotExist(path) - - canvas.SaveAs(fullFileName) - -def createFolderIfDoesNotExist(path): - if not os.path.exists(path): - os.makedirs(path) - -def plotHistAndFits(data, mcStack, fits): - canvas = TCanvas( "c1", "plot with fits", 1920, 1080 ) - - - diff --git a/scripts_old/PlotHelper.py b/scripts_old/PlotHelper.py deleted file mode 100644 index 03c4714b..00000000 --- a/scripts_old/PlotHelper.py +++ /dev/null @@ -1,58 +0,0 @@ -from tdrStyle import * - -inclusiveJetBins = [ - "0orMoreJets", - "1orMoreJets", - "2orMoreJets", - "3orMoreJets" , - "4orMoreJets"] - -exclusiveJetBins = [ - "0jet", - "1jet", - "2jets", - "3jets"] - -inclusiveBjetBins = [ - "0orMoreBtag", - "1orMoreBtag", - "2orMoreBtags", - "3orMoreBtags", - '4orMoreBtags' ] - -exclusiveBjetBins = [ - '0btag', - "1btag", - "2btags", - "3btags"] - -allJetBins = [] -allJetBins.extend(inclusiveJetBins) -allJetBins.extend(exclusiveJetBins) - -allBjetBins = [] -allBjetBins.extend(inclusiveBjetBins) -allBjetBins.extend(exclusiveBjetBins) - -jetBinsLatex = {'0jet':'0 jet', '0orMoreJets':'#geq 0 jets', '1jet':'1 jet', '1orMoreJets':'#geq 1 jet', - '2jets':'2 jets', '2orMoreJets':'#geq 2 jets', '3jets':'3 jets', '3orMoreJets':'#geq 3 jets', - '4orMoreJets':'#geq 4 jets'} - -BjetBinsLatex = {'0btag':'0 b-tags', '0orMoreBtag':'#geq 0 b-tags', '1btag':'1 b-tags', - '1orMoreBtag':'#geq 1 b-tags', - '2btags':'2 b-tags', '2orMoreBtags':'#geq 2 b-tags', - '3btags':'3 b-tags', '3orMoreBtags':'#geq 3 b-tags', - '4orMoreBtags':'#geq 4 b-tags'} - -def setStyle(): - tdrStyle = setTDRStyle(); - - #slight adaptation - tdrStyle.SetPadRightMargin( 0.05 ); #originally was 0.02, too narrow! - tdrStyle.SetStatH( 0.2 ); - #tdrStyle.SetOptStat(1110);//off title - tdrStyle.SetOptStat( 0 );#off title - tdrStyle.SetOptFit( 0 );#off title - tdrStyle.cd(); - gROOT.ForceStyle(); - diff --git a/scripts_old/QCDEstimation.py b/scripts_old/QCDEstimation.py deleted file mode 100644 index 6933a09b..00000000 --- a/scripts_old/QCDEstimation.py +++ /dev/null @@ -1,350 +0,0 @@ -from __future__ import division -from ROOT import * -from math import fsum - -from HistPlotter import inclusiveBjetBins, exclusiveBjetBins, allBjetBins, rebin -from HistGetter import getHistsFromFiles, addSampleSum -import inputFiles - -ufloatEnabled = True -try: - from uncertainties import ufloat - from uncertainties import umath -except: - print "Could not find uncertainties package, please install for full functionality" - print 'http://packages.python.org/uncertainties/' - ufloatEnabled = False - - -fitRangesClosureTest = [ (0.1, 0.9), (0.1, 1.0), (0.1, 1.1), - (0.2, 0.9), (0.2, 1.0), (0.2, 1.1), - (0.3, 0.9), (0.3, 1.0), (0.3, 1.1)] - -rebinRelIso = 10 - - -def doFit(histogram, function, fitRange):#, constrainFit = False): - histogram = histogram.Clone('fitting') - numberOfFreeParameters = -1 - fit = None - - histogram.Fit(function, "Q0", "ah", fitRange[0], fitRange[1]) - fit = histogram.GetFunction(function) - if fit: - return fit.Clone() - else: - return None - -def estimateQCDFrom(histogramForEstimation, function='expo', - fitRanges=[(0.2, 1.6), (0.3, 1.6), (0.4, 1.6)]): - - histogramForEstimation = histogramForEstimation.Clone('tmp') - - binWidthOfOriginalHIstoram = 0.01 - rebinOfOriginalHistogram = rebinRelIso - signalRegion = (0., 0.1) - estimate = 0 - estimate2 = 0 - relFitError = 0 - histogramForEstimation.Rebin(rebinOfOriginalHistogram) - for fitrange in fitRanges: - fit = None - fit = doFit(histogramForEstimation, function, fitrange) - if fit: - est = fit.Integral(signalRegion[0], signalRegion[1]) / (binWidthOfOriginalHIstoram * rebinOfOriginalHistogram) - for parErr in range(0, fit.GetNumberFreeParameters()): - par = fit.GetParameter(parErr) - err = fit.GetParError(parErr) - if not par == 0: - relFitError += (err / par) ** 2 -# print par, err - estimate += est - estimate2 += est * est - - - mean = estimate / len(fitRanges) - mean2 = estimate2 / len(fitRanges) - error = 0 - if not (mean2 - mean * mean) == 0: - error = sqrt((mean2 - mean * mean) / 2) - if not mean == 0: - return (mean, sqrt(relFitError + (error / mean) ** 2) * mean) - else: - return (0, 0) - -def getQCDEstimateFor(histogramForEstimation='QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_DR03_0orMoreBtag', function='expo', - fitRange=(0.3, 1.6), additionFitRanges=[(0.2, 1.6), (0.4, 1.6)]): - estimate, absoluteError = estimateQCDFrom(histogramForEstimation, function, fitRanges=[fitRange]) - - relativeError = 0 - if not estimate == 0: - relativeError = absoluteError / estimate - relativeErrorSquared = relativeError ** 2 - - systematicErrorFromOtherFitRanges = 0 - for currentRange in additionFitRanges: - est, err = estimateQCDFrom(histogramForEstimation, function, fitRanges=[currentRange]) - deviation = est - estimate - if not estimate == 0: - relativeErrorSquared += (deviation / estimate) ** 2 - -# statisticalErrorSquared = 0 -# if not estimate == 0: -# statisticalErrorSquared = 1 / estimate -# relativeErrorSquared += statisticalErrorSquared - - relativeError = sqrt(relativeErrorSquared) - absoluteError = relativeError * estimate - - return estimate, absoluteError - -def getQCDEstimate(datafile, - histogramForEstimation='QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_DR03', - bjetBin='', function='expo', - fitRange=(0.3, 1.6), additionFitRanges=[(0.2, 1.6), (0.4, 1.6)]): - bias = 0.45 - bias = 0 - reductionFromBias = 1 - bias - if bjetBin: - histogramForEstimation = histogramForEstimation + '_' + bjetBin - files = {'data': datafile} - hists = [histogramForEstimation] - hists = getHistsFromFiles(hists, files) - histogramForEstimation = hists['data'][histogramForEstimation] - estimate, absoluteError = getQCDEstimateFor(histogramForEstimation, function, fitRange=fitRange, additionFitRanges=additionFitRanges) - estimate = estimate * reductionFromBias - absoluteError = absoluteError * reductionFromBias - absoluteError = sqrt(absoluteError ** 2 + (estimate * bias) ** 2) - return estimate, absoluteError - - -def getIntegral(histogram, integralRange=(0, 0.1)): - firstBin = histogram.GetXaxis().FindBin(integralRange[0]) - lastBin = histogram.GetXaxis().FindBin(integralRange[1]) - - integral = 0 - absoluteError = Double(0) - integral = histogram.IntegralAndError(firstBin, lastBin, absoluteError) - - return integral, absoluteError - - -def getPerformanceOnMC(files, histogramForEstimation='QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_DR03', bjetBin='', function='expo', - fitRange=(0.3, 1.6), additionFitRanges=[(0.2, 1.6), (0.4, 1.6)]): - if bjetBin: - histogramForEstimation = histogramForEstimation + '_' + bjetBin - - hists = [histogramForEstimation] - hists = getHistsFromFiles(hists, files) - hists = addSampleSum(hists) - - histogramForComparison = hists['qcd'][histogramForEstimation] - histogramForEstimation = hists['allMC'][histogramForEstimation] - - - estimate, absoluteError = getQCDEstimateFor(histogramForEstimation, function, fitRange=fitRange, additionFitRanges=additionFitRanges) - - qcdInSignalRegion, qcdError = getIntegral(histogramForComparison, (0, 0.1)) - - N_est = ufloat((estimate, absoluteError)) - N_qcd = ufloat((qcdInSignalRegion, qcdError)) - - relativeDeviation = N_est/ N_qcd - - result = {} - result['performance'] = (relativeDeviation.nominal_value, relativeDeviation.std_dev()) - result['estimate'] = (estimate, absoluteError) - result['qcdInSignalRegion'] = (qcdInSignalRegion, qcdError) - - return result - - -def getShapeErrorHistogram(files, - histogramForShape = 'topReconstruction/backgroundShape/mttbar_conversions_withMETAndAsymJets', - histogramForComparison = 'topReconstruction/backgroundShape/mttbar_antiIsolated_withMETAndAsymJets', - rebin = 1, - suffix = ''): - files = {'data': files['data']} -# histogramForShape = 'topReconstruction/backgroundShape/mttbar_conversions_withMETAndAsymJets' -# histogramForComparison = 'topReconstruction/backgroundShape/mttbar_antiIsolated_withMETAndAsymJets' -# suffixes = allBjetBins -# rebin = 50 - - errors = None - -# for suffix in suffixes: -# if suffix in histname: - if not suffix == '': - histogramForShape = histogramForShape + '_' + suffix - histogramForComparison = histogramForComparison + '_' + suffix - - hists = [histogramForShape, histogramForComparison] - hists = getHistsFromFiles(hists, files) - histogramForShape = hists['data'][histogramForShape] - histogramForComparison = hists['data'][histogramForComparison] - histogramForShape.Sumw2() - histogramForComparison.Sumw2() - - histogramForShape.Rebin(rebin) - histogramForComparison.Rebin(rebin) - - nShape = histogramForShape.Integral() - nCompare = histogramForComparison.Integral() - - if nShape > 0 and nCompare > 0: - histogramForShape.Scale(1 / nShape) - histogramForComparison.Scale(1 / nCompare) - - errors = histogramForShape.Clone('ShapeErrors') - errors.Add(histogramForComparison, -1)#subtraction - for bin in range(1, errors.GetNbinsX()): - errors.SetBinContent(bin, fabs(errors.GetBinContent(bin))) - errors.Divide(histogramForShape) - - return errors - -#def combineErrorsFromHistogramList(): -# pass - -def createErrorHistogram(mcHistograms, qcdHistogram, relativeQCDEstimationError, shapeErrorHistogram): - errorHist = qcdHistogram.Clone("ErrorHist") - - for bin in range(1, errorHist.GetNbinsX()): - nQCD = qcdHistogram.GetBinContent(bin) - nMC = 0 - for hist in mcHistograms: - nMC += hist.GetBinContent(bin) - err = relativeQCDEstimationError - if shapeErrorHistogram: - shapeErr = shapeErrorHistogram.GetBinContent(bin) - shapeErrStat = shapeErrorHistogram.GetBinError(bin) - shapeErr = fabs(shapeErr) + shapeErrStat - err = sqrt(err * err + shapeErr * shapeErr) - errorHist.SetBinContent(bin, nMC) - errorHist.SetBinError(bin, err * nQCD) - return errorHist - - -def compareFitFunctions(datafile, histogramForEstimation, functions, fitRange=(0.3, 1.6)): - files = {'data': datafile} - hists = [histogramForEstimation] - hists = getHistsFromFiles(hists, files) - histogramForEstimation = hists['data'][histogramForEstimation] - - result = {} - for function in functions: - fit = doFit(histogramForEstimation, function, fitRange) - ndof = fit.GetNDF() - chi2 = fit.GetChisquare() - result[function] = {'NDOF': ndof, 'Chi2':chi2} - return result - -def doComparisonFitFunctions(files): - functions = ['expo', 'gaus', 'pol1'] - print 'Comparison between fit functions' - fitRanges = [(0.2, 1.6), (0.3, 1.6), (0.4, 1.6)] - - averageChi2 = {} - averageNDOF = {} - btags = ['0btag', '1btag', '2orMoreBtags'] - for function in functions: - averageChi2[function] = 0 - averageNDOF[function] = 0 - - for fitRange in fitRanges: - result = compareFitFunctions(files['data'], histogramForEstimation='QCDStudy/QCDest_PFIsolation_1btag_WithMETCutAndAsymJetCuts_3jets', functions=functions, - fitRange=fitRange) - - print '| * 3jets, 1 btag* | *fit range (%.1f, %1.f)*|||' % fitRange - print '| *fit function* | *Chi^2* | *NDoF* | *Chi^2/NDoF* |' - for function, values in result.iteritems(): - chi2 = values['Chi2'] - ndof = values['NDOF'] - averageChi2[function] += chi2 - averageNDOF[function] += ndof - print '| %s | %.3f | %d | %.3f |' % (function, chi2, ndof, chi2 / ndof) - - for btag in btags: - result = compareFitFunctions(files['data'], histogramForEstimation='QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_DR03_%s' % btag, functions=functions, - fitRange=fitRange) - print '| * 4jets, %s* | *fit range (%.1f, %1.f)*|||' % (btag, fitRange[0], fitRange[1]) - print '| *fit function* | *Chi^2* | *NDoF* | *Chi^2/NDoF* |' - for function, values in result.iteritems(): - chi2 = values['Chi2'] - ndof = values['NDOF'] - averageChi2[function] += chi2 - averageNDOF[function] += ndof - print '| %s | %.3f | %d | %.3f |' % (function, chi2, ndof, chi2 / ndof) - - print '| *average over all regions and fit ranges* ||||' - print '| *fit function* | *Chi^2* | *NDoF* | *Chi^2/NDoF* |' - N_measurements = len(fitRanges) * (len(btags) + 1) - for function, values in result.iteritems(): - chi2 = averageChi2[function] / N_measurements - ndof = averageNDOF[function] / N_measurements - print '| %s | %.3f | %d | %.3f |' % (function, chi2, ndof, chi2 / ndof) - - - -def doEstimation(files, function, hist): -# print 'QCD estimation in relative isolation using', function, 'function' -# est, err = getQCDEstimate(files['data'], histogramForEstimation='QCDStudy/QCDest_PFIsolation_1btag_WithMETCutAndAsymJetCuts_3jets', function=function, -# fitRange=(0.3, 1.6), additionFitRanges=[(0.2, 1.6), (0.4, 1.6)]) -# print '| *region* | *NQCD, exp* | *Nest* | *scale factor* |' -# print '| 3j1t | --- | %.1f ± %.1f | --- |' % (est, err) -# print 'Final QCD estimate (==3jet, %s): %.1f +- %.1f' % ('1 b-tag', est, err) - - for btag in ['0btag', '1btag', '2orMoreBtags']: - tag = 0 - if '0' in btag: - tag= 0 - elif '1' in btag: - tag = 1 - elif '2' in btag: - tag = 2 - - est, err = getQCDEstimate(files['data'], histogramForEstimation= hist + '_%s' % btag, function=function, - fitRange=(0.3, 1.6), additionFitRanges=[(0.2, 1.6), (0.4, 1.6)]) -# print 'Final QCD estimate (>=4jet, %s): %.1f +- %.1f' % (btag, est, err) - print '| 4j%dt | --- | %.1f +- %.1f | --- |' % (tag, est, err) - -def doMCPerformance(files, function, hist): -# print 'Performance on MC using', function, 'function' -# result = getPerformanceOnMC(files, -# histogramForEstimation='QCDStudy/QCDest_PFIsolation_1btag_WithMETCutAndAsymJetCuts_3jets', -# function=function, -# fitRange=(0.3, 1.6), additionFitRanges=[(0.2, 1.6), (0.4, 1.6)]) -# est, err = result['estimate'] -# N_qcd, N_qcd_error = result['qcdInSignalRegion'] -# performance, performanceError = result['performance'] - print '| *region* | *NQCD, true* | *Nest* | *(Nest - NQCD, true)/NQCD, true* |' -# print '| (==3jet, %s) | %.1f +- %.1f | %.1f +- %.1f | %.3f +- %.3f |' % ('1 b-tag', N_qcd, N_qcd_error, est, err, performance, performanceError) -# hist = 'TTbarEplusJetsPlusMetAnalysis/Ref + AsymJets selection/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03' - for btag in ['0btag', '1btag', '2orMoreBtags']: - result = getPerformanceOnMC(files, - histogramForEstimation=hist + '_%s' % btag, function=function, - fitRange=(0.3, 1.6), additionFitRanges=[(0.2, 1.6), (0.4, 1.6)]) - est, err = result['estimate'] - N_qcd, N_qcd_error = result['qcdInSignalRegion'] - performance, performanceError = result['performance'] - print '| (>=4jet, %s) | %.1f +- %.1f | %.1f +- %.1f | %.3f +- %.3f |' % (btag, N_qcd, N_qcd_error, est, err, performance, performanceError) - -if __name__ == '__main__': - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - - files = inputFiles.files - function = 'expo' - hist = 'TTbarEplusJetsPlusMetAnalysis/Ref + AsymJets selection/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03' - -# doEstimation(files, function, hist) -# print "MC performance" -# doMCPerformance(files, function, hist) - -# doComparisonFitFunctions(files) - - - - - - diff --git a/scripts_old/QCD_ConversionControlRegion_0btag.pdf b/scripts_old/QCD_ConversionControlRegion_0btag.pdf deleted file mode 100644 index 405766c69c51f78dfb3f75e2e46fac1d86f9a7eb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 17593 zcmd6P2|U!@_dl{_$&w{Yj3rC9nK3hFimW3`7)zEAgQ3YX3@XVQ%DyX0vZgG_lvZuF 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- - diff --git a/scripts_old/plots/MttbarAnalysis/index.html b/scripts_old/plots/MttbarAnalysis/index.html deleted file mode 100644 index a1769039..00000000 --- a/scripts_old/plots/MttbarAnalysis/index.html +++ /dev/null @@ -1,37 +0,0 @@ - - - - - - - plots/MttbarAnalysis - - - -

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- - diff --git a/scripts_old/plots/allplots.py b/scripts_old/plots/allplots.py deleted file mode 100644 index a80e4e66..00000000 --- a/scripts_old/plots/allplots.py +++ /dev/null @@ -1,23 +0,0 @@ -## This file contains all the necessary calls to the rootplot API to produce -## the same set of plots that were created from the command-line. - -## You can use this file to intercept the objects and manipulate them before -## the figure is saved, making any custom changes that are not possible from -## the command-line. - -## 'objects' is a python dictionary containing all the elements used in the -## plot, including 'hists', 'legend', etc. -## ex: objects['hists'] returns a list of histograms - -try: - ## the normal way to import rootplot - from rootplot import plot, plotmpl -except ImportError: - ## special import for CMSSW installations of rootplot - from PhysicsTools.PythonAnalysis.rootplot import plot, plotmpl - -import os -os.chdir('..') # return to the directory with the ROOT files - -figure, objects = plotmpl('/scratch/results/histogramFiles/data_3934.08pb_PFElectron_PF2PATJets_PFMET.root', '/scratch/results/histogramFiles/NewCode/TTJet_1959.75pb_PFElectron_PF2PATJets_PFMET.root', '/scratch/results/histogramFiles/NewCode/WJetsToLNu_1959.75pb_PFElectron_PF2PATJets_PFMET.root', 'topReconstruction/mttbar_withMETAndAsymJets_0orMoreBtag', 'rootplotmpl_config.py', rebin=50, xmin=1000.0, data=1, stack=True, underflow=True) -figure.savefig('plots/topReconstruction/mttbar_withMETAndAsymJets_0orMoreBtag', transparent=False, dpi=80) diff --git a/scripts_old/plots/allplots_multi.py b/scripts_old/plots/allplots_multi.py deleted file mode 100644 index 4c0fef23..00000000 --- a/scripts_old/plots/allplots_multi.py +++ /dev/null @@ -1,51 +0,0 @@ -## This file is the same as allplots.py, except that it uses multiprocessing -## to make better use of machines with multiple cores - -try: - ## the normal way to import rootplot - from rootplot import plot, plotmpl - from rootplot.core import report_progress -except ImportError: - ## special import for CMSSW installations of rootplot - from PhysicsTools.PythonAnalysis.rootplot import plot, plotmpl - from PhysicsTools.PythonAnalysis.rootplot.core import report_progress -import ROOT -import multiprocessing as multi -from Queue import Empty - -import os -os.chdir('..') # return to the directory with the ROOT files - -calls = [] - -calls.append(""" -figure, objects = plotmpl('/scratch/results/histogramFiles/data_3934.08pb_PFElectron_PF2PATJets_PFMET.root', '/scratch/results/histogramFiles/NewCode/TTJet_1959.75pb_PFElectron_PF2PATJets_PFMET.root', '/scratch/results/histogramFiles/NewCode/WJetsToLNu_1959.75pb_PFElectron_PF2PATJets_PFMET.root', 'topReconstruction/mttbar_withMETAndAsymJets_0orMoreBtag', 'rootplotmpl_config.py', rebin=50, xmin=1000.0, data=1, stack=True, underflow=True) -figure.savefig('plots/topReconstruction/mttbar_withMETAndAsymJets_0orMoreBtag', transparent=False, dpi=80) -""") - - -queue = multi.JoinableQueue() -qglobals = multi.Manager().Namespace() -qglobals.nfinished = 0 -qglobals.ntotal = len(calls) -for call in calls: - queue.put(call) - -def qfunc(queue, qglobals): - while True: - try: mycall = queue.get(timeout=5) - except (Empty, IOError): break - exec(mycall) - ROOT.gROOT.GetListOfCanvases().Clear() - qglobals.nfinished += 1 - report_progress(qglobals.nfinished, qglobals.ntotal, - 'plots', 'png') - queue.task_done() - -for i in range(8): - p = multi.Process(target=qfunc, args=(queue, qglobals)) - p.daemon = True - p.start() -queue.join() -report_progress(len(calls), len(calls), 'plots', 'png') -print '' diff --git a/scripts_old/plots/index.html b/scripts_old/plots/index.html deleted file mode 100644 index 6fa4272c..00000000 --- a/scripts_old/plots/index.html +++ /dev/null @@ -1,39 +0,0 @@ - - - - - - - plots - - - -

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- - diff --git a/scripts_old/plots/topReconstruction/index.html b/scripts_old/plots/topReconstruction/index.html deleted file mode 100644 index f8674ba7..00000000 --- a/scripts_old/plots/topReconstruction/index.html +++ /dev/null @@ -1,39 +0,0 @@ - - - - - - - plots/topReconstruction - - - -

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- -

- - Based on a template by Sarfraz Shoukat

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makeHLTPrescaleTable.py script in -https://twiki.cern.ch/twiki/bin/viewauth/CMS/HLTriggerTools#make_HLTPrescaleTable_py -''' - -def getTriggers(csvFileName): - file = open(csvFileName, 'rb') - data = csv.reader(file, delimiter = ';') - fieldNames = getFieldNames(data) - triggers, prescaledTriggers = createTriggerDictionaries(fieldNames) - - reader = csv.DictReader( file, fieldnames = fieldNames ,delimiter = ';') - triggers, prescaledTriggers = fillTriggers(reader, triggers, prescaledTriggers) - return triggers, prescaledTriggers - -def getFieldNames(data): - fieldNames = [] - for row in data: - #look for first row starting with 'run' - if len(row) > 0 and row[0] == 'run': - fieldNames = row#this has the format: run, '', listoftriggers - break - return fieldNames - -def createTriggerDictionaries(fieldNames): - triggers = {} - prescaledTriggers = {} - for name in fieldNames[2:]: - triggers[name] = [] - prescaledTriggers[name] = {'prescale': '', 'runs': []} - return triggers, prescaledTriggers - -def fillTriggers(data, triggers, prescaledTriggers): - for row in data: - for name, value in row.iteritems(): - if not name == '' or not name == 'run':#ommit emtpy and run columns - if value == '1':#exists in the menu and has prescale = 1 - if triggers.has_key(name): - triggers[name].append(row['run']) - elif value:#exists in the menu and has prescale !=1 - if prescaledTriggers.has_key(name): - prescaledTriggers[name]['prescale'] = value - prescaledTriggers[name]['runs'].append(row['run']) - return triggers, prescaledTriggers - - -def printTriggersAsTwikiTable(triggers, prescaledTriggers): - print '| *trigger* | *runs* |' - for key in sorted(triggers.keys()): - runs = sorted(triggers[key]) - if len(runs) > 0: - print '| =%s= |' % key, runs[0], '-', runs[-1], '|' - - print - print '| *trigger* | *runs* | *prescales* |' - for key in sorted(prescaledTriggers.keys()): - runs =sorted(prescaledTriggers[key]['runs']) - prescale = prescaledTriggers[key]['prescale'] - if len(runs) > 0: - print '| =%s= |' % key, runs[0], '-', runs[-1], '|', prescale, '|' - - -if __name__ == "__main__": - csvFileName = '/Users/lkreczko/Dropbox/Documents/Analysis/trigger/out2.csv' - if len(sys.argv) > 1: - csvFileName = sys.argv[1] - triggers, prescaledTriggers = getTriggers(csvFileName) - printTriggersAsTwikiTable(triggers, prescaledTriggers) - - \ No newline at end of file diff --git a/scripts_old/printCutFlow.py b/scripts_old/printCutFlow.py deleted file mode 100644 index a818dfc0..00000000 --- a/scripts_old/printCutFlow.py +++ /dev/null @@ -1,92 +0,0 @@ -from __future__ import division -from numpy import arange -from tdrStyle import * -from ROOT import * -#from QCDEstimation import getQCDEstimate#, estimateQCDFor -import QCDEstimation - -import HistPlotter -import HistGetter -import inputFiles - - -cuts = None -cuts_electrons = [ - "All events after skim", - "Event cleaning and High Level Trigger", - "exactly one isolated electron", - "loose muon veto", - "di-lepton veto", - "Conversion veto", - ">= 3 jets", - ">= 4 jets", - ">=1 CSV b-tag", - ">=2 CSV b-tag" - ] - -cuts_muons = [ - "All events after skim", - "Event cleaning and High Level Trigger", - "exactly one isolated muon", - "loose lepton veto", - "di-lepton veto", - ">= 3 jets", - ">= 4 jets", - ">=1 CSV b-tag", - ">=2 CSV b-tag" - ] - -samples = [ - 'ttbar', 'W1Jet', 'W2Jets', 'W3Jets', 'W4Jets', 'zjets', - 'data', 'qcd', 'singleTop'] - -def printCutFlow(hist, analysis): - files = inputFiles.files - hist_1mBtag = 'TTbarPlusMetAnalysis/' + analysis + '/Ref selection/MET/patMETsPFlow/MET_1orMoreBtag' - hist_2mBtag = 'TTbarPlusMetAnalysis/' + analysis + '/Ref selection/MET/patMETsPFlow/MET_2orMoreBtags' - hists = [hist, #due to b-tag scale factors these are not as simple any more - hist_1mBtag, - hist_2mBtag - ] - hists = HistGetter.getHistsFromFiles(hists, files, bJetBins=[]) - hists = HistGetter.addSampleSum(hists) -# histname3 = 'EventCount/TTbarEplusJetsSelection_2orMoreBtags' - - header = "| Step | TTJet | W+jets | DY + Jets | single top | QCD | Sum MC | Data |" - row = " | %s | %d | %d | %d | %d | %d| %d | %d | " - print header - - numbers = getEventNumbers(hists, hist, hist_1mBtag, hist_2mBtag)# + '_0orMoreBtag') - for step in range(len(cuts)): - nums = numbers[step] - sumMC = nums['ttbar'] + nums['wjets'] + nums['zjets'] + nums['singleTop'] + nums['qcd'] - print row % (cuts[step], nums['ttbar'], nums['wjets'], nums['zjets'], nums['singleTop'], nums['qcd'], sumMC, nums['data']) - -def getEventNumbers(hists, histname, hist_1mBtag, hist_2mBtag): - eventNumbers = [] - for step in range(len(cuts)): - events = {} - events['wjets'] = hists['wjets'][histname].GetBinContent(step + 1) - for sample in samples: - events[sample] = hists[sample][histname].GetBinContent(step + 1) - if step == len(cuts) - 2: - events[sample] = hists[sample][hist_1mBtag].Integral() - if step == len(cuts) - 1: - events[sample] = hists[sample][hist_2mBtag].Integral() - eventNumbers.append(events) - return eventNumbers - - -if __name__ == "__main__": - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - cuts = cuts_electrons - print '='*120 - print 'TTbarEplusJetsRefSelection' - printCutFlow('EventCount/TTbarEplusJetsRefSelection', 'EPlusJets') - print '='*120 - cuts = cuts_muons - print '='*120 - print 'TTbarMuPlusJetsRefSelection' - printCutFlow('EventCount/TTbarMuPlusJetsRefSelection', 'MuPlusJets') - print '='*120 diff --git a/scripts_old/readMergeLog.py b/scripts_old/readMergeLog.py deleted file mode 100644 index 2492d13f..00000000 --- a/scripts_old/readMergeLog.py +++ /dev/null @@ -1,34 +0,0 @@ - -mergeLog = file('merge.log') - -groups = [] -groupIndex = 0 -foundStart = False -for line in mergeLog.readlines(): - - if line.startswith('hadd'): - print '='*200 - foundStart = True - groups.append([]) - #split by space - input = line.split(' ') - #first 3 entries are command, parameter and output file, rest are the input files - outputfile = input[2] -# inputfiles = input[3:] - print 'Output file:', outputfile -# for file in inputfiles: -# print file - - if line.startswith('Sources and Target'): - foundStart = False - groupIndex += 1 - print '='*200 - - if foundStart: - if line.startswith('Source file'): - input = line.split(' ') - file = input[3].replace('\n', '') - groups[groupIndex].append(file) - print file - -print 'Number of groups:', len(groups) \ No newline at end of file diff --git a/scripts_old/remove_duplicates b/scripts_old/remove_duplicates deleted file mode 100644 index 58bbbe9c..00000000 --- a/scripts_old/remove_duplicates +++ /dev/null @@ -1,77 +0,0 @@ -#!/usr/bin/python -''' -Created on 1 Jun 2010 - -@author: kreczko - -Email: kreczko@cern.ch -''' - -from optparse import OptionParser -import os -import copy - -duplicates = [] -duplicateFiles = {} - -def getUniqueFiles(files): - if listContainsDuplicates(files): - findDuplicates(files) - else: - return files - uniqueFiles = copy.copy(files) - for values in duplicateFiles.itervalues(): - for value in values: - uniqueFiles.remove(value) - values.sort() - uniqueFiles.append(values[-1]) - return uniqueFiles - -def listContainsDuplicates(list): - seen = [] - for item in list: - jobnumber = extractJobnumber(item) - if jobnumber in seen: - duplicates.append(jobnumber) - else: - seen.append(jobnumber) - return len(duplicates) >0 - -def findDuplicates(files): - for file in files: - for job in duplicates: - if job == extractJobnumber(file): - addDuplicate(job, file) - -def extractJobnumber(file): - jobnumber = file.split('_')[-3] - return int(jobnumber) - -def addDuplicate(jobnumber, file): - if not duplicateFiles.has_key(jobnumber): - duplicateFiles[jobnumber] = [] - duplicateFiles[jobnumber].append(file) - -def removeDuplicates(path, files): - print 'Number of file in path:', len(files) - files.sort() - uniqueFiles = getUniqueFiles(files) - uniqueFiles.sort() - print 'Number of unique files', len(uniqueFiles) - filesToRemove = [file for file in files if not file in uniqueFiles] - print 'Number of duplicate files:', len(filesToRemove) - [remove(path + file) for file in filesToRemove] - -def remove(file): - print 'removing',file - os.remove(file) - -if __name__ == "__main__": - parser = OptionParser() - (options, args) = parser.parse_args() - if len(args) >0: - path = args[0] - files = os.listdir(path) - removeDuplicates(path, files) - else: - print 'File path was not specified. Use script "./remove_duplicates path"' \ No newline at end of file diff --git a/scripts_old/remove_duplicates.py b/scripts_old/remove_duplicates.py deleted file mode 100755 index 05630cb8..00000000 --- a/scripts_old/remove_duplicates.py +++ /dev/null @@ -1,78 +0,0 @@ -#!/usr/bin/python -''' -Created on 1 Jun 2010 - -@author: kreczko - -Email: kreczko@cern.ch -''' - -from optparse import OptionParser -import os -import copy - -duplicates = [] -duplicateFiles = {} - -def getUniqueFiles(files): - if listContainsDuplicates(files): - findDuplicates(files) - else: - return files - uniqueFiles = copy.copy(files) - for values in duplicateFiles.itervalues(): - for value in values: - if value in uniqueFiles: - uniqueFiles.remove(value) - values.sort() - uniqueFiles.append(values[-1]) - return uniqueFiles - -def listContainsDuplicates(list): - seen = [] - for item in list: - jobnumber = extractJobnumber(item) - if jobnumber in seen: - duplicates.append(jobnumber) - else: - seen.append(jobnumber) - return len(duplicates) >0 - -def findDuplicates(files): - for file in files: - for job in duplicates: - if job == extractJobnumber(file): - addDuplicate(job, file) - -def extractJobnumber(file): - jobnumber = file.split('_')[-3] - return int(jobnumber) - -def addDuplicate(jobnumber, file): - if not duplicateFiles.has_key(jobnumber): - duplicateFiles[jobnumber] = [] - duplicateFiles[jobnumber].append(file) - -def removeDuplicates(path, files): - print 'Number of file in path:', len(files) - files.sort() - uniqueFiles = getUniqueFiles(files) - uniqueFiles.sort() - print 'Number of unique files', len(uniqueFiles) - filesToRemove = [file for file in files if not file in uniqueFiles] - print 'Number of duplicate files:', len(filesToRemove) - [remove(path + file) for file in filesToRemove] - -def remove(file): - print 'removing',file - os.remove(file) - -if __name__ == "__main__": - parser = OptionParser() - (options, args) = parser.parse_args() - if len(args) >0: - path = args[0] - files = os.listdir(path) - removeDuplicates(path, files) - else: - print 'File path was not specified. Use script "./remove_duplicates path"' \ No newline at end of file diff --git a/scripts_old/rootplot_config.py b/scripts_old/rootplot_config.py deleted file mode 100644 index 0a460541..00000000 --- a/scripts_old/rootplot_config.py +++ /dev/null @@ -1,204 +0,0 @@ -import ROOT # allows access to ROOT colors (e.g. ROOT.kRed) - -############################################################################## -######## About Config Files ################################################## - -## This file can be generated by running 'rootplot --config' - -## Options are loaded in the following order: -## 1. from the command line -## 2. from the default configuration file -## 3. from ~/.rootplotrc -## 4. from configuration files specified on the command-line -## This leads to two major points worth understanding: -## 1. you may delete any lines you like in this file and they will still -## be loaded correctly from the default -## 2. values specified here will superceed the same options from the -## command-line -## Therefore, you could set, for example, 'xerr = True' in this file, -## and x-errorbars will always be drawn, regardless of whether '--xerr' is -## given on the command-line or not. You can do this with any of the command- -## line options, but note that dashes are translated to underscores, so -## '--ratio-split=1' becomes 'ratio_split = 1'. - -## Most global style options like default line widths can be set through -## a rootlogon.C, as described at: -## http://root.cern.ch/drupal/content/how-create-or-modify-style - -############################################################################## -######## Specifying Files and Targets ######################################## - -## You can specify the files to run on through the 'filenames' variable rather -## than entering them at the command-line, for example: -## filenames = ['histTTbar.root', 'histZmumu.root'] - -## Likewise, you can specify target histograms or directories here rather than -## on the command-line, for example: -## targets = ['barrel/15to20', 'barrel/20to30'] - -## You might also want to specify fancy labels for the legend here rather -## than on the command-line: -## legend_entries = [r'#bar{t}t', r'Z#rightarrow#mu#mu'] - -############################################################################## -######## Different Options for Different Targets ############################# - -## Leave these lists empty to have them automatically filled according to the -## command-line options. Any list that is filled must be at least as long -## as the number of targets or it will throw an error. - -line_colors = [] # normally filled by options.colors -fill_colors = [] # normally filled by options.colors -marker_colors = [] # normally filled by options.colors -marker_sizes = [] # in pixels -line_styles = [] # 1 (solid), 2 (dashed), 3 (dotted), 4 (dashdot), ... -fill_styles = [] # 0 (hollow), 1001 (solid), 2001 (hatched), ... -draw_commands = [] # a TH1::Draw option, include 'stack' to make stacked - -############################################################################## -######## Global Style Options ################################################ - -## Colors can be specified as (r, g, b) tuples (with range 0. to 1. or range -## 0 to 255), or ROOT color constants (ROOT.kBlue or 600) - -colors = [ - ## a default set of contrasting colors the author happens to like - ( 82, 124, 219), # blue - (212, 58, 143), # red - (231, 139, 77), # orange - (145, 83, 207), # purple - (114, 173, 117), # green - ( 67, 77, 83), # dark grey - ] - -## Used when --marker_styles is specified; more info available at: -## http://root.cern.ch/root/html/TAttMarker.html -marker_styles = [ - 4, # circle - 25, # square - 26, # triangle - 5, # x - 30, # five-pointed star - 27, # diamond - 28, # cross - 3, # asterisk - ] - -#### Styles for --data -data_color = (255,0,0) # black -mc_color = (50, 150, 150) # used when there are exactly 2 targets; set to - # None to pick up the normal color -data_marker = 8 # marker style (circle) - -#### Settings for --ratio-split or --efficiency-split -ratio_max = None -ratio_min = None -ratio_fraction = 0.3 # Fraction of the canvas that bottom plot occupies -ratio_label = 'Ratio to %(ratio_file)s' # Label for the bottom plot -efficiency_label = 'Efficiency vs. %(ratio_file)s' - -#### Titles produced by --area-normalize and --normalize -area_normalized_title = 'Fraction of Events in Bin' -target_normalized_title = 'Events Normalized to %(norm_file)s' - -#### Overflow and underflow text labels -overflow_text = ' Overflow' -underflow_text = ' Underflow' - -#### Define how much headroom to add to the plot -top_padding_factor = 1.2 -top_padding_factor_log = 5. # used when --logy is set - -#### Plotting options based on histogram names -## Apply options to histograms whose names match regular expressions -## The tuples are of the form (option_name, value_to_apply, list_of_regexs) -## ex: to rebin by 4 all histograms containing 'pt' or starting with 'eta': -## ('rebin', 4, ['.*pt.*', 'eta.*']) -options_by_histname = [ - ('area_normalize', True, []), - ] - -#### Legend -legend_width = 0.38 # Fraction of canvas width -legend_entry_height = 0.05 # Fraction of canvas height -max_legend_height = 0.4 # Fraction of canvas height -legend_left_bound = 0.20 # For left justification -legend_right_bound = 0.95 # For right justification -legend_upper_bound = 0.91 # For top justification -legend_lower_bound = 0.15 # For bottom justification -legend_codes = { 1 : 'upper right', - 2 : 'upper left', - 3 : 'lower left', - 4 : 'lower right', - 5 : 'right', - 6 : 'center left', - 7 : 'center right', - 8 : 'lower center', - 9 : 'upper center', - 10 : 'center', - } - -#### Page numbers -numbering_size_root = 0.03 # Fraction of canvas width -numbering_align_root = 33 # Right-top adjusted -numbering_x_root = 0.97 # Fraction of canvas width -numbering_y_root = 0.985 # Fraction of canvas height - -#### Draw style for TGraph -draw_graph = 'ap' - -#### This code snippet will be executed after the histograms have all -#### been drawn, allowing you to add decorations to the canvas -decoration_root = ''' -## Draw a line to indicate a cut -#line = ROOT.TLine(5.,0.,5.,9.e9) -#line.Draw() -## Add a caption -#tt = ROOT.TText() -#tt.DrawTextNDC(0.6, 0.15, "CMS Preliminary") -''' - -############################################################################## -######## HTML Output ######################################################### - -#### Number of columns for images in HTML output -ncolumns_html = 2 - -#### Provide a template for the html index files -html_template=r''' - - - - - - %(path)s - - - -

Navigation

- %(back_nav)s -
    - %(forward_nav)s -
-

Images

- %(plots)s -

- - Based on a template by Sarfraz Shoukat

- - -''' diff --git a/scripts_old/rootplotmpl_config.py b/scripts_old/rootplotmpl_config.py deleted file mode 100644 index 6ea3adf3..00000000 --- a/scripts_old/rootplotmpl_config.py +++ /dev/null @@ -1,225 +0,0 @@ -import ROOT # allows access to ROOT colors (e.g. ROOT.kRed) - -############################################################################## -######## About Config Files ################################################## - -## This file can be generated by running 'rootplotmpl --config' - -## Options are loaded in the following order: -## 1. from the command line -## 2. from the default configuration file -## 3. from ~/.rootplotmplrc -## 4. from configuration files specified on the command-line -## This leads to two major points worth understanding: -## 1. you may delete any lines you like in this file and they will still -## be loaded correctly from the default -## 2. values specified here will superceed the same options from the -## command-line -## Therefore, you could set, for example, 'xerr = True' in this file, -## and x-errorbars will always be drawn, regardless of whether '--xerr' is -## given on the command-line or not. You can do this with any of the command- -## line options, but note that dashes are translated to underscores, so -## '--ratio-split=1' becomes 'ratio_split = 1'. - -## Most global style options like default line widths can be set through -## a matplotlibrc, as described at: -## http://matplotlib.sourceforge.net/users/customizing.html - -############################################################################## -######## Specifying Files and Targets ######################################## - -## You can specify the files to run on through the 'filenames' variable rather -## than entering them at the command-line, for example: -filenames = ['/scratch/results/histogramFiles/data_3934.08pb_PFElectron_PF2PATJets_PFMET.root', - '/scratch/results/histogramFiles/NewCode/TTJet_1959.75pb_PFElectron_PF2PATJets_PFMET.root', - '/scratch/results/histogramFiles/NewCode/WJetsToLNu_1959.75pb_PFElectron_PF2PATJets_PFMET.root'] - -## Likewise, you can specify target histograms or directories here rather than -## on the command-line, for example: -#targets = ['topReconstruction/mttbar_withMETAndAsymJets_0orMoreBtag'] - -## You might also want to specify fancy labels for the legend here rather -## than on the command-line: -legend_entries = ['data', r'$t\bar{t}$', 'W+Jets'] - -############################################################################## -######## Different Options for Different Targets ############################# - -## Leave these lists empty to have them automatically filled according to the -## command-line options. Any list that is filled must be at least as long -## as the number of targets or it will throw an error. - -line_colors = [] # normally filled by options.colors -fill_colors = [] # normally filled by options.colors -marker_colors = [] # normally filled by options.colors -errorbar_colors = [] # color for bars around the central value -marker_sizes = [] # in points -line_styles = [] # 'solid', 'dashed', 'dashdot', 'dotted' -plot_styles = [] # 'bar', 'hist', 'errorbar', 'stack' -alphas = [] # transparencies for fills (value from 0 to 1) - -############################################################################## -######## Global Style Options ################################################ - -## Colors can be specified as (r, g, b) tuples (with range 0. to 1. or range -## 0 to 255), ROOT color constants (ROOT.kBlue or 600), or any matplotlib -## color specification (names like 'blue' or 'b') - -colors = [ - ## a default set of contrasting colors the author happens to like - ( 82, 124, 219), # blue - (212, 58, 143), # red - (231, 139, 77), # orange - (145, 83, 207), # purple - (114, 173, 117), # green - ( 67, 77, 83), # dark grey - ] - -## Used when --marker_styles is specified; more info available at: -## http://matplotlib.sourceforge.net/api/ -## artist_api.html#matplotlib.lines.Line2D.set_marker -marker_styles = [ - 'o', 's', '^', 'x', '*', 'D', 'h', '1' - ] - -#### Styles for --data -data_color = (0,0,0) # black -mc_color = (50, 150, 150) # used when there are exactly 2 targets; set to - # None to pick up the normal color -data_marker = 'o' # marker style - -#### Settings for --ratio-split or --efficiency-split -ratio_max = None -ratio_min = None -ratio_fraction = 0.3 # Fraction of the canvas that bottom plot occupies -ratio_label = 'Ratio to %(ratio_file)s' # Label for the bottom plot -efficiency_label = 'Efficiency vs. %(ratio_file)s' - -#### Titles produced by --area-normalize and --normalize -area_normalized_title = 'Fraction of Events in Bin' -target_normalized_title = 'Events Normalized to %(norm_file)s' - -#### Overflow and underflow text labels -overflow_text = ' Overflow' -underflow_text = ' Underflow' -overflow_size = 'small' -overflow_alpha = 0.5 - -#### Define how much headroom to add to the plot -top_padding_factor = 1.2 -top_padding_factor_log = 5. # used when --logy is set - -#### Plotting options based on histogram names -## Apply options to histograms whose names match regular expressions -## The tuples are of the form (option_name, value_to_apply, list_of_regexs) -## ex: to rebin by 4 all histograms containing 'pt' or starting with 'eta': -## ('rebin', 4, ['.*pt.*', 'eta.*']) -options_by_histname = [ - ('area_normalize', True, []), - ] - -#### Legend -#### These options will override legend_location, allowing more precise control -## Upper right corner of legend in figure coordinates -legend_figure_bbox = None # [1.0, 1.0] for legend outside the axes -## Upper right corner of legend in axes coordinates -legend_axes_bbox = None - -#### Page numbers -numbering_size_mpl = 'small' -numbering_ha_mpl = 'right' -numbering_va_mpl = 'top' -numbering_x_mpl = 0.98 # Fraction of canvas width -numbering_y_mpl = 0.98 # Fraction of canvas height - -#### Rotation for text x-axis labels -xlabel_rotation = -15 -xlabel_alignment = 'left' -xlabel_alignmenth = 'bottom' # For barh - -#### Convert ROOT symbols to proper LaTeX, for matplotlib plotting -## By default, matplotlib renders only symbols between $'s as TeX, but if -## you enable the 'text.usetex' matplotlibrc setting, then everything is handled -## by the LaTeX engine on your system, in which case you can go wild with TeX. - -## ROOT-type strings on left get replaced with LaTeX strings on the right -replace = [ - # some defaults that should work for most cases - (' pt ' , r' $p_\mathrm{T}$ '), - ('pT ' , r'$p_\mathrm{T}$ '), - (' pT' , r' $p_\mathrm{T}$'), - ('p_{T}' , r'$p_\mathrm{T}$'), - ('E_{T}' , r'$E_\mathrm{T}$'), - ('#eta' , r'$\eta$'), - ('#phi' , r'$\phi$'), - ('fb^{-1}' , r'$\mathrm{fb}^{-1}$'), - ('pb^{-1}' , r'$\mathrm{pb}^{-1}$'), - ('<' , r'$<$'), - ('>' , r'$>$'), - ('#' , r''), - ] - -## If you include 'use_regexp' as the first item, the patterns to be replaced -## will function as regular expressions using python's re module rather than -## as simple text. The example below turn's ROOT's superscript and subscript -## syntax into LaTeX: - -## replace = [ -## ('use_regexp', True), -## (r'\^\{(.*)\}', r'$^{\1}$'), -## (r'\_\{(.*)\}', r'$_{\1}$'), -## ] - -#### A function that will be executed after all histograms have been drawn. -#### It can be used to add extra decorations to your figure. -def decoration_mpl(figure, axeses, path, options, hists): - #### Draw a line to indicate a cut - ## axeses[0].axvline(5., color='red', linestyle='--') - #### Add a caption - ## figure.text(0.6, 0.15, "CMS Preliminary") - return - -############################################################################## -######## HTML Output ######################################################### - -#### Number of columns for images in HTML output -ncolumns_html = 2 - -#### Provide a template for the html index files -html_template=r''' - - - - - - %(path)s - - - -

Navigation

- %(back_nav)s -
    - %(forward_nav)s -
-

Images

- %(plots)s -

- - Based on a template by Sarfraz Shoukat

- - -''' diff --git a/scripts_old/rootplottest.py b/scripts_old/rootplottest.py deleted file mode 100644 index ab5baa43..00000000 --- a/scripts_old/rootplottest.py +++ /dev/null @@ -1,35 +0,0 @@ -#import matplotlib -## matplotlib.use("PDF") ## Include this line to make PDF output -#matplotlib.rc('text', usetex=True) -#matplotlib.rc('font', family="serif", serif="palatino") -from matplotlib import pyplot as plt -import ROOT -import rootplot.root2matplotlib as r2m -from random import gauss - -th1f_1 = ROOT.TH1F("hpt1", "Distribution of pT;pT;Events", 40, 0, 8) -th1f_2 = ROOT.TH1F("hpt2", "Distribution of pT;pT;Events", 40, 0, 8) -for i in range(2500): - th1f_1.Fill(gauss(4, 1.)) - th1f_2.Fill(gauss(6, 1.)) - -cmap = plt.get_cmap('Set3') -colors = [cmap(i/5.) for i in range(5)] - -plt.figure(1, (6, 4)) -ax1 = plt.axes() -replace = [('pT', r'$p_\mathrm{T}$')] -hist1 = r2m.Hist(th1f_1) -hist2 = r2m.Hist(th1f_2) -stack = r2m.HistStack() - -stack.add(hist1, color='b', label=r"$Z\rightarrow \mu\mu$") -stack.add(hist2, color='r', label=r"$t\bar{t}$") -stack.hist(histtype='barstacked') -#stack.barstack() -stack.show_titles(replacements=replace) -plt.legend(loc='upper right') -plt.xlim(0,8) - -plt.show() -plt.savefig('second') ## Include this line to save image \ No newline at end of file diff --git a/scripts_old/run.sh b/scripts_old/run.sh deleted file mode 100644 index b7823b7a..00000000 --- a/scripts_old/run.sh +++ /dev/null @@ -1,103 +0,0 @@ -## -## This run script is used to fit RelIso using exponential (or linear) function -## in various jet bins, using fit_data_Njet.C -## -############################################################################### - - -##======================= -## -## Inclusive jet bin -## -##======================= - -##----------------- -## Fit Njet >= 0 -##----------------- -echo "Alljet Gaus" >> MyEstimates.txt -# (1) fit allj, norm mc to luminosity -root -q -n 'fit_data_Njet.C("all",1)' >& res_allj_normToLumi.txt -# (2) fit allj, norm mc to data -##root -q -n 'fit_data_Njet.C("allj",2)' >& res_allj_normToData.txt - - - -echo "1m-jet Gaus" >> MyEstimates.txt -##----------------- -## Fit Njet >= 1 ('1mj' means 1 or more jet) -##----------------- -# (1) norm mc to luminosity -root -q -n 'fit_data_Njet.C("1mj",1)' >& res_1mj_normToLumi.txt -# (2) norm mc to data -##root -q -n 'fit_data_Njet.C("1mj",2)' >& res_1mj_normToData.txt - -echo "2m-jet Gaus" >> MyEstimates.txt -##----------------- -## Fit Njet >= 2 -##----------------- -# (1) norm mc to luminosity -root -q -n 'fit_data_Njet.C("2mj",1)' >& res_2mj_normToLumi.txt -# (2) norm mc to data -##root -q -n 'fit_data_Njet.C("2mj",2)' >& res_2mj_normToData.txt - -echo "3m-jet Gaus" >> MyEstimates.txt -##----------------- -## Fit Njet >= 3 -##----------------- -# (1) norm mc to luminosity -root -q -n 'fit_data_Njet.C("3mj",1)' >& res_3mj_normToLumi.txt -# (2) norm mc to data -##root -q -n 'fit_data_Njet.C("3mj",2)' >& res_3mj_normToData.txt - -echo "4m-jet Gaus" >> MyEstimates.txt -##----------------- -## Fit Njet >= 4 -##----------------- -# (1) norm mc to luminosity -root -q -n 'fit_data_Njet.C("4orMoreJets",1)' >& res_4mj_normToLumi.txt -# (2) norm mc to data -#root -q -n 'fit_data_Njet.C("4orMoreJets",2)' >& res_4mj_normToData.txt - - - - - - - -##======================= -## -## Exclusive jet bin -## -##======================= - -echo "0 jet Gaus" >> MyEstimates.txt -##---------------- -## Fit Njet = 0 -##---------------- -# (1) norm mc to luminosity -root -q -n 'fit_data_Njet.C("0jet",1)' >& res_0j_normToLumi.txt -# (2) norm mc to data -#root -q -n 'fit_data_Njet.C("0jet",2)' >& res_0j_normToData.txt - -echo "1 jet Gaus" >> MyEstimates.txt -##---------------- -## Fit Njet = 1 -##---------------- -# (1) norm mc to luminosity -root -q -n 'fit_data_Njet.C("1jet",1)' >& res_1j_normToLumi.txt -# (2) norm mc to data -#root -q -n 'fit_data_Njet.C("1jet",2)' >& res_1j_normToData.txt - -echo "2 jet Gaus" >> MyEstimates.txt -##---------------- -## Fit Njet = 2 -##---------------- -# (1) norm mc to luminosity -root -q -n 'fit_data_Njet.C("2jets",1)' >& res_2j_normToLumi.txt -# (2) norm mc to data -#root -q -n 'fit_data_Njet.C("2jets",2)' >& res_2j_normToData.txt - -echo "3 jet Gaus" >> MyEstimates.txt -root -q -n 'fit_data_Njet.C("3jets",1)' >& res_3j_normToLumi.txt -echo "4 jet Gaus" >> MyEstimates.txt -root -q -n 'fit_data_Njet.C("4j",1)' >& res_4j_normToLumi.txt diff --git a/scripts_old/run_mc.sh b/scripts_old/run_mc.sh deleted file mode 100644 index b9b147cc..00000000 --- a/scripts_old/run_mc.sh +++ /dev/null @@ -1,94 +0,0 @@ -## -## 15 Jul 2010 -## -## * This is the run script to plot/fit RelIso using only MC events. -## * It calls fit_new.C and perform gaussian fit over all permutations of fit ranges, -## and make 2 version of plots: one zoomed-in on y-axis and the other not. -## -## * plot_qcd_estimate.C -## -## * It creates the following directories to store the output: -## mc_only_[DT]/nofit -## mc_only_[DT]/gaus_free12j_fix34j -## mc_only_[DT]/gaus_mean_0.3to0.6_12j_fix34j -## mc_only_[DT]/gaus_mean_0.4to0.6_12j_fix34j -## [DT] above means Date and Time, ie the time stamp of when the dir is created. -## -## * The time stamp format can be changed below by adapting the mytime variable. -## -##################################################################################### - -# main dir -dir=mc_only - -# To add time stamp to "mc_only" -#mytime=`date "+%d%m%y_%Hh%Mm"` ## produces eg '150710_13h55m' for 13 July 2010, 1.55pm -mytime=`date "+%d%h%y_%Hh%Mm"` ## produces eg '15Jul10_13h55m' for 13 July 2010, 1.55pm -dir=${dir}_$mytime - -# subdirectories -sd1=nofit -sd2=gaus_free12j_fix34j -sd3=gaus_mean_0.3to0.6_12j_fix34j -sd4=gaus_mean_0.4to0.6_12j_fix34j - -# create directories -mkdir -p $dir/$sd1 -mkdir -p $dir/$sd2 -mkdir -p $dir/$sd3 -mkdir -p $dir/$sd4 - - -# plot without fit -echo "plot without fit" -echo " op: $dir/$sd1" -root -q -b 'run_fit_none.cc(1,0)' >& fit_none.txt -mv -f *QCD_reliso*.pdf fit_none.txt $dir/$sd1 - - - -# Fit: gaus, no constrain in 1,2j, constrain in 3,4j -echo "Fit gaus" -echo " op: $dir/$sd2" -root -q -b 'run_fit.cc(1,0)' >& fit_res_gaus.txt -so animate_gaus.sh -mv -f *pdf *txt *gif $dir/$sd2 - - -# Fit gaus, constrain mean in 1,2j mean:0.3-1.6, fix 3,4j -#echo "Fit gaus, constrain mean in 1,2j (0.3-1.6)" -#echo " op: $dir/$sd3" -#root -q -b 'run_fit_mean12j_geq03.cc(1,0)' >& fit_res_mean12j_geq03.txt -#so animate_gaus.sh -#mv -f *pdf *txt *gif $dir/$sd3 - - -# Fit gaus, constrain mean in 1,2j mean:0.4-1.6, fix 3,4j -#echo "Fit gaus, constrain mean in 1,2j (0.4-1.6)" -#echo " op: $dir/$sd4" -#root -q -b 'run_fit_mean12j_geq04.cc(1,0)' >& fit_res_mean12j_geq04.txt -#so animate_gaus.sh -#mv -f *pdf *txt *gif $dir/$sd4 - -rm -f *eps -echo done - - - -############################### -# # -# Some notes on the workflow # -# # -# # -############################### -# -# run_fit.cc calls fit_new.C, and runs the "fit" function for each fit range. 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a/scripts_old/tdrStyle.py b/scripts_old/tdrStyle.py deleted file mode 100644 index 9dc2f23f..00000000 --- a/scripts_old/tdrStyle.py +++ /dev/null @@ -1,156 +0,0 @@ -#include "TStyle.h" -from ROOT import TPad, TStyle, kWhite, kTRUE - -# tdrGrid: Turns the grid lines on (true) or off (false) - -def tdrGrid(tdrStyle, gridOn): - tdrStyle.SetPadGridX(gridOn); - tdrStyle.SetPadGridY(gridOn); - - -# fixOverlay: Redraws the axis - -def fixOverlay(): - gPad.RedrawAxis(); - -def setTDRStyle(): - tdrStyle = TStyle("tdrStyle","Style for P-TDR"); - -# For the canvas: - tdrStyle.SetCanvasBorderMode(0); - tdrStyle.SetCanvasColor(kWhite); - tdrStyle.SetCanvasDefH(600); #Height of canvas - tdrStyle.SetCanvasDefW(600); #Width of canvas - tdrStyle.SetCanvasDefX(0); #POsition on screen - tdrStyle.SetCanvasDefY(0); - -# For the Pad: - tdrStyle.SetPadBorderMode(0); - # tdrStyle.SetPadBorderSize(Width_t size = 1); - tdrStyle.SetPadColor(kWhite); - tdrStyle.SetPadGridX(False); - tdrStyle.SetPadGridY(False); - tdrStyle.SetGridColor(0); - tdrStyle.SetGridStyle(3); - tdrStyle.SetGridWidth(1); - -# For the frame: - tdrStyle.SetFrameBorderMode(0); - tdrStyle.SetFrameBorderSize(1); - tdrStyle.SetFrameFillColor(0); - tdrStyle.SetFrameFillStyle(0); - tdrStyle.SetFrameLineColor(1); - tdrStyle.SetFrameLineStyle(1); - tdrStyle.SetFrameLineWidth(1); - -# For the histo: - # tdrStyle.SetHistFillColor(1); - # tdrStyle.SetHistFillStyle(0); - tdrStyle.SetHistLineColor(1); - tdrStyle.SetHistLineStyle(0); - tdrStyle.SetHistLineWidth(1); - # tdrStyle.SetLegoInnerR(Float_t rad = 0.5); - # tdrStyle.SetNumberContours(Int_t number = 20); - - tdrStyle.SetEndErrorSize(2); -# tdrStyle.SetErrorMarker(20); - tdrStyle.SetErrorX(0.); - - tdrStyle.SetMarkerStyle(20); - -#For the fit/function: - tdrStyle.SetOptFit(1); - tdrStyle.SetFitFormat("5.4g"); - tdrStyle.SetFuncColor(2); - tdrStyle.SetFuncStyle(1); - tdrStyle.SetFuncWidth(1); - -#For the date: - tdrStyle.SetOptDate(0); - # tdrStyle.SetDateX(Float_t x = 0.01); - # tdrStyle.SetDateY(Float_t y = 0.01); - -# For the statistics box: - tdrStyle.SetOptFile(0); - tdrStyle.SetOptStat(0); # To display the mean and RMS: SetOptStat("mr"); - tdrStyle.SetStatColor(kWhite); - tdrStyle.SetStatFont(42); - tdrStyle.SetStatFontSize(0.025); - tdrStyle.SetStatTextColor(1); - tdrStyle.SetStatFormat("6.4g"); - tdrStyle.SetStatBorderSize(1); - tdrStyle.SetStatH(0.1); - tdrStyle.SetStatW(0.15); - # tdrStyle.SetStatStyle(Style_t style = 1001); - # tdrStyle.SetStatX(Float_t x = 0); - # tdrStyle.SetStatY(Float_t y = 0); - -# Margins: - tdrStyle.SetPadTopMargin(0.05); - tdrStyle.SetPadBottomMargin(0.13); - tdrStyle.SetPadLeftMargin(0.16); - tdrStyle.SetPadRightMargin(0.02); - -# For the Global title: - - tdrStyle.SetOptTitle(0); - tdrStyle.SetTitleFont(42); - tdrStyle.SetTitleColor(1); - tdrStyle.SetTitleTextColor(1); - tdrStyle.SetTitleFillColor(10); - tdrStyle.SetTitleFontSize(0.05); - # tdrStyle.SetTitleH(0); # Set the height of the title box - # tdrStyle.SetTitleW(0); # Set the width of the title box - # tdrStyle.SetTitleX(0); # Set the position of the title box - # tdrStyle.SetTitleY(0.985); # Set the position of the title box - # tdrStyle.SetTitleStyle(Style_t style = 1001); - # tdrStyle.SetTitleBorderSize(2); - -# For the axis titles: - - tdrStyle.SetTitleColor(1, "XYZ"); - tdrStyle.SetTitleFont(42, "XYZ"); - tdrStyle.SetTitleSize(0.06, "XYZ"); - # tdrStyle.SetTitleXSize(Float_t size = 0.02); # Another way to set the size? - # tdrStyle.SetTitleYSize(Float_t size = 0.02); - tdrStyle.SetTitleXOffset(0.9); - tdrStyle.SetTitleYOffset(1.25); - # tdrStyle.SetTitleOffset(1.1, "Y"); # Another way to set the Offset - -# For the axis labels: - - tdrStyle.SetLabelColor(1, "XYZ"); - tdrStyle.SetLabelFont(42, "XYZ"); - tdrStyle.SetLabelOffset(0.007, "XYZ"); - tdrStyle.SetLabelSize(0.05, "XYZ"); - -# For the axis: - - tdrStyle.SetAxisColor(1, "XYZ"); - tdrStyle.SetStripDecimals(kTRUE); - tdrStyle.SetTickLength(0.03, "XYZ"); - tdrStyle.SetNdivisions(510, "XYZ"); - tdrStyle.SetPadTickX(1); # To get tick marks on the opposite side of the frame - tdrStyle.SetPadTickY(1); - -# Change for log plots: - tdrStyle.SetOptLogx(0); - tdrStyle.SetOptLogy(0); - tdrStyle.SetOptLogz(0); - -# Postscript options: - tdrStyle.SetPaperSize(20.,20.); - # tdrStyle.SetLineScalePS(Float_t scale = 3); - # tdrStyle.SetLineStyleString(Int_t i, const char* text); - # tdrStyle.SetHeaderPS(const char* header); - # tdrStyle.SetTitlePS(const char* pstitle); - - # tdrStyle.SetBarOffset(Float_t baroff = 0.5); - # tdrStyle.SetBarWidth(Float_t barwidth = 0.5); - # tdrStyle.SetPaintTextFormat(const char* format = "g"); - # tdrStyle.SetPalette(Int_t ncolors = 0, Int_t* colors = 0); - # tdrStyle.SetTimeOffset(Double_t toffset); - # tdrStyle.SetHistMinimumZero(kTRUE); - - tdrStyle.cd(); - return tdrStyle diff --git a/scripts_old/test.png b/scripts_old/test.png deleted file mode 100644 index c4682f8bfb90752e0142625fb00bf22af5e47b81..0000000000000000000000000000000000000000 GIT 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range(0,10000): - h1.Fill(gRandom.Gaus(0,1)); -h1.Draw(); - - - -h1.Fit('gaus', "Q0", "ah", -3, 3) -fit = h1.GetFunction('gaus') -fit.Draw('same') -c1.Update(); -print 'Number of parameter errors', len(fit.GetParErrors()) - -errors = fit.GetParErrors() -for i in range(0, 10): - print 'Error No. %d:' % i, errors[i] - -print fit.GetNumberFreeParameters() - diff --git a/scripts_old/testPyROOT.py b/scripts_old/testPyROOT.py deleted file mode 100644 index 7bc30d28..00000000 --- a/scripts_old/testPyROOT.py +++ /dev/null @@ -1,53 +0,0 @@ -from ROOT import * -import sys - - -xlimits = [0, 100] -xTitle = 'test X' -yTitle = 'test Y' - -c = TCanvas("cname", 'cname', 1080, 1080) -pad1 = TPad("pad1", "The pad with the function",0.0,0.2,1.0,1.0); -pad2 = TPad("pad2","The pad with the histogram",0.0,0.0,1.0,0.2); -pad1.Draw() -pad2.Draw() - -pad1.cd() - -hFrame = (pad1.cd()).DrawFrame(xlimits[0],-.1,xlimits[1],1.1) -hFrame.GetXaxis().SetTitle(xTitle) -hFrame.GetYaxis().SetTitle(yTitle) -hFrame.Draw() -upper = TLine(xlimits[0],1.,xlimits[1],1.) -lower = TLine(xlimits[0],0.,xlimits[1],0.) -cut = TLine(30., 0., 30., 1.) -cut.SetLineColor(1) -upper.SetLineColor(4) -lower.SetLineColor(4) -upper.DrawLine(xlimits[0],1.,xlimits[1],1.) ; -lower.DrawLine(xlimits[0],0.,xlimits[1],0.) ; -cut.DrawLine(30., 0., 30., 1.) - -tex = TLatex(0.18,1,"Just Testing"); -tex.SetNDC(); -tex.SetTextAlign(13); -tex.SetTextFont(42); -tex.SetTextSize(0.04); -tex.SetLineWidth(2); -tex.Draw(); - -pad2.cd() -hFrame = (pad2.cd()).DrawFrame(xlimits[0],0.,xlimits[1],2) -hFrame.GetXaxis().SetTitle(xTitle) -hFrame.GetYaxis().SetTitle(yTitle) -hFrame.Draw() -upper = TLine(xlimits[0],1.,xlimits[1],1.) -cut = TLine(30., -2., 30., 2.) -cut.SetLineColor(1) -upper.SetLineColor(4) -upper.DrawLine(xlimits[0],1.,xlimits[1],1.) ; -cut.DrawLine(30., -2., 30., 2.) - - -c.SaveAs("testSplit.pdf") -c.SaveAs("testSplit.png") \ No newline at end of file diff --git a/scripts_old/testRootPlot.py b/scripts_old/testRootPlot.py deleted file mode 100644 index e66878fe..00000000 --- a/scripts_old/testRootPlot.py +++ /dev/null @@ -1,13 +0,0 @@ -from rootplot.core import plotmpl, plot, rootplot, rootplotmpl -import inputFiles - -data = inputFiles.files['data'] -ttbar = inputFiles.files['ttbar'] -print data -print ttbar -#rootplotmpl(data, ttbar, path='topReconstruction/mttbar_withMETAndAsymJets_0orMoreBtag', output='plots', rebin=50, range = (0,1), data=1, -# fill=True, data_marker = 8, data_color=(255,0,0), legend_entries='data, ttbar', -# xmin=300, xmax=2500, overflow=True, underflow = True) - -rootplotmpl(data, output='plots') -#plotmpl(data, ttbar, 'topReconstruction/mttbar_withMETAndAsymJets_0orMoreBtag', output='plots', debug = True, ext = 'png', hist=True) \ No newline at end of file

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c7f44dc5..00000000 --- a/scripts_old/animate_gaus.sh +++ /dev/null @@ -1,34 +0,0 @@ - -## convert pdf to gif -#for i in \ -# fit_zoom_fixPara_gaus_r0.2to1.0 \ -# fit_zoom_fixPara_gaus_r0.2to1.2 \ -# fit_zoom_fixPara_gaus_r0.2to1.4 \ -# fit_zoom_fixPara_gaus_r0.3to1.1 \ -# fit_zoom_fixPara_gaus_r0.3to1.3 \ -# fit_zoom_fixPara_gaus_r0.3to1.5 \ -# fit_zoom_fixPara_gaus_r0.4to1.2 \ -# fit_zoom_fixPara_gaus_r0.4to1.4 \ -# fit_zoom_fixPara_gaus_r0.4to1.6 -#do -# convert ${i}.pdf ${i}.gif -#done - -## create animated gif -convert -delay 200 \ - fit_zoom_fixPara_gaus_r0.2to1.0.gif \ - fit_zoom_fixPara_gaus_r0.2to1.2.gif \ - fit_zoom_fixPara_gaus_r0.2to1.4.gif \ - fit_zoom_fixPara_gaus_r0.3to1.1.gif \ - fit_zoom_fixPara_gaus_r0.3to1.3.gif \ - fit_zoom_fixPara_gaus_r0.3to1.5.gif \ - fit_zoom_fixPara_gaus_r0.4to1.2.gif \ - fit_zoom_fixPara_gaus_r0.4to1.4.gif \ - fit_zoom_fixPara_gaus_r0.4to1.6.gif \ - -loop 0 \ - play_fitPara_gaus.gif - -## clear up the individual gif -#rm -rf fit*gif - -#echo done diff --git a/scripts_old/bTagPlots.py b/scripts_old/bTagPlots.py deleted file mode 100644 index 5f4e5404..00000000 --- a/scripts_old/bTagPlots.py +++ /dev/null @@ -1,392 +0,0 @@ -from ROOT import * -import HistGetter -import HistPlotter -import inputFiles -from array import* - -#outputFormats = ['png', 'pdf'] -outputFormats = ['root'] -outputFolder = "/storage/phjaj/Plots/" -#print outputFolder -saveAs = HistPlotter.saveAs -algos = ["CombinedSecondaryVertex", "CombinedSecondaryVertexMVA", - "JetBProbability", "JetProbability", - "SimpleSecondaryVertexHighEfficiency", "SimpleSecondaryVertexHighPurity", - "SoftElectronByIP3d", "SoftElectronByPt", - "SoftMuon", "SoftMuonByIP3d", "SoftMuonByPt", - "TrackCountingHighEfficiency", "TrackCountingHighPurity"] -jets=["allJets", "bQuarkJets", "cQuarkJets", "gluonJets", "udsQuarkJets"] - -def makeBTagPlots(hists, rebin=1): - - #Scaled individual Plots - stage 1 - print 'Plotting individual btag histograms' - gStyle.SetOptStat(001111111) - for name, hist in hists.iteritems(): - entries = hist.Integral(0, hist.GetNbinsX() + 1) - if entries == 0: - print name - else: - hist.Scale(1.0 / entries) - canvas = TCanvas("canvas", "canvas", 800, 800) - hist.GetXaxis().SetTitle("Discriminator Value") - hist.GetYaxis().SetTitle("Number of Jets") - hist.Draw() - outputFilename = name + "_discriminator" - print "Saving canvas", name - saveAs(canvas, outputFilename, outputFormats, outputFolder) - - #Scaled combined plots - stage 2 - print 'Plotting combined btag histograms' - gStyle.SetOptStat(001111111) - for algo in algos: - canvas = TCanvas("canvas", "canvas", 800, 800) - legend = TLegend(0.7, 0.15, 0.85, 0.35) - jets = ["allJets", "bQuarkJets", "cQuarkJets", "gluonJets", "udsQuarkJets"] - for jet in jets: - for name, hist in hists.iteritems(): - #print name - outputFilename = "BJetAnalysis/" + algo + "_discriminator_combined" - if name == "BJetAnalysis/" + algo + "_" + jet: - #print algo - #print jet - #print name - #print jets.index(jet) - hist.SetLineColor(jets.index(jet) + 1) - hist.SetTitle(algo + "_discriminator_combined") - hist.GetXaxis().SetTitle("Discriminator Value") - hist.GetYaxis().SetTitle("Number of Jets") - legend.AddEntry(hist, algo + "_" + jet + "_discriminator", "l") - if jets.index(jet) == 0: - hist.Draw() - else: - hist.Draw("same") - legend.Draw() - print "Saving canvas", outputFilename - saveAs(canvas, outputFilename, outputFormats, outputFolder) - -def makeEfficiencyPlots(): - #Efficiency Plots - stage 1 - print 'Plotting individual btag efficiencies' - gStyle.SetOptStat(001111111) - #loop through root file (and histogram) for each algorithm for each jet type - - for algo in algos: - #for single efficiency plots - cutValues = array ('f', []) - efficiencies = array ('f', []) - graphs1 = [] - - #for combined efficiency plots - multiGraph2 = TMultiGraph() - legend2 = TLegend(0.7, 0.15, 0.85, 0.35) - - for jet in jets: - inputFilename = "/storage/phjaj/Plots/BJetAnalysis/" + algo + "_" + jet + "_discriminator.root" # e.g. csv_disc_bjets.root, csv_disc_cjets.root etc. - #file = TFile(inputFilename) - #canvas = file.Get("canvas") - #hist = canvas.FindObject(algo + "_" + jet + "_discriminator") - #hist = TH1D(file.canvas.FindObject(algo + "_" + jet)) - print algo + "_" + jet + "_discriminator" - file = TFile.Open(inputFilename) -# hist = TH1D(file.canvas.FindObject(algo + "_disc_" + jet)) - hist = TH1D(file.canvas.FindObject(algo + "_" + jet)) - #efficiencyHist = hist.Clone() #clone the original histogram for this particular algorithm for this particular jet - - #loop through bins (cut values) - entries = hist.Integral(0, hist.GetNbinsX() + 1) - max = hist.GetNbinsX() - for bin in range(1, max + 1): #bin 1 to bin 1000 - check! - #print "bin = ", bin - efficiency = hist.Integral(bin, max) / entries #integral from bin to max divided by the total - cutValue = hist.GetXaxis().GetBinLowEdge(bin) - #print cutValue, efficiency - efficiencies.append(efficiency) - cutValues.append(cutValue) - canvas1 = TCanvas("canvas1", "canvas1", 800, 800) - #print "efficiencies = ", efficiencies, len(efficiencies) - #print "cutValues = ", cutValues, len(cutValues) - print max, len(cutValues), len(efficiencies) - gr = TGraph(max, cutValues, efficiencies) # - check! - outputFilename1 = "BJetAnalysis/" + algo + "_" + jet + "_efficiency" - gr.SetTitle(algo + "_" + jet + "_efficiency") - gr.GetXaxis().SetTitle("Discriminator Cut Value") - gr.GetYaxis().SetTitle("Jet Efficiency") - gr.SetMarkerColor(jets.index(jet) + 1) - gr.SetLineColor(jets.index(jet) + 1) - gr.SetMarkerStyle(33) - gr.SetMarkerSize(0.75) - gr.Draw("AP") - graphs1.append(gr) #Add graph to array to plot all 4 jets on the same canvas later below - multiGraph2.Add(graphs1[jets.index(jet)]) - #print "multiGraph = ", multiGraph - legend2.AddEntry(graphs1[jets.index(jet)], algo + "_" + jet + "_efficiency", "l") - print graphs1 - print "Saving canvas", outputFilename1 - saveAs(canvas1, outputFilename1, outputFormats, outputFolder) - cutValues = array ('f', []) - efficiencies = array ('f', []) - #bJetEfficiencies = array ('f', []) - #cJetEfficiencies = array ('f', []) - #gluonJetEfficiencies = array ('f', []) - #udsJetEfficiencies = array ('f', []) - canvas2 = TCanvas("canvas1", "canvas1", 800, 800) - outputFilename2 = "BJetAnalysis/" + algo + "_efficiency_combined" - multiGraph2.Draw("AP") - legend2.Draw() - multiGraph2.SetTitle(algo + "_efficiency_combined") - multiGraph2.GetXaxis().SetTitle("Discriminator Cut Value") - multiGraph2.GetYaxis().SetTitle("Jet Efficiency") - saveAs(canvas2, outputFilename2, outputFormats, outputFolder) - - - #plot non-b jet efficiencies against b-jet efficiency for all non-b-jets for each algorithm - print "Plotting non-b jet efficiency against b-jet efficiency" - gStyle.SetOptStat(001111111) - #loop through root file (and histogram) for each algorithm for each jet type - bJetEfficiencies = array ('f', []) - cJetEfficiencies = array ('f', []) - gluonJetEfficiencies = array ('f', []) - udsJetEfficiencies = array ('f', []) - graphs3 = [] - #print graphs1 - for algo in algos: - print algo - for jet in jets: - inputFilename = "/storage/phjaj/Plots/BJetAnalysis/" + algo + "_" + jet + "_efficiency.root" # e.g. csv_disc_bjets.root, csv_disc_cjets.root etc. - file = TFile.Open(inputFilename) - -# gr = file.canvas1.GetPrimitive("Graph") - gr = TGraph(file.canvas.FindObject(algo + "_" + jet)) -# print "type = ", type(gr) - #gr.Draw() -# print algo, " ", jet - n = gr.GetN() - yValues = gr.GetY() - for i in range(n): - if jet == "bQuarkJets": - bJetEfficiencies.append(yValues[i]) - if jet == "cQuarkJets": - cJetEfficiencies.append(yValues[i]) - if jet == "gluonJets": - gluonJetEfficiencies.append(yValues[i]) - if jet == "udsQuarkJets": - udsJetEfficiencies.append(yValues[i]) - legend3 = TLegend(0.7, 0.15, 0.85, 0.35) - gr1 = TGraph(max, bJetEfficiencies, cJetEfficiencies) - gr1.SetMarkerColor(jets.index("cQuarkJets") + 1) - gr1.SetLineColor(jets.index("cQuarkJets") + 1) - gr1.SetLineWidth(2) - gr1.SetMarkerStyle(33) - gr1.SetMarkerSize(0.75) - legend3.AddEntry(gr1, algo + "cQuarkJets_efficiency", "p") - gr2 = TGraph(max, bJetEfficiencies, gluonJetEfficiencies) - gr2.SetMarkerColor(jets.index("gluonJets") + 1) - gr2.SetLineColor(jets.index("gluonJets") + 1) - gr2.SetLineWidth(2) - gr2.SetMarkerStyle(33) - gr2.SetMarkerSize(0.75) - legend3.AddEntry(gr2, algo + "gluonJets_efficiency", "p") - gr3 = TGraph(max, bJetEfficiencies, udsJetEfficiencies) - gr3.SetMarkerColor(jets.index("udsQuarkJets") + 1) - gr3.SetLineColor(jets.index("udsQuarkJets") + 1) - gr3.SetLineWidth(2) - gr3.SetMarkerStyle(33) - gr3.SetMarkerSize(0.75) - legend3.AddEntry(gr3, algo + "udsQuarkJets_efficiency", "p") - graphs3.append(gr1) - graphs3.append(gr2) - graphs3.append(gr3) - print graphs3 - canvas3 = TCanvas("canvas3", "canvas3", 800, 800) - multiGraph3 = TMultiGraph() - for i in range(len(graphs3)): - print graphs3[i] - multiGraph3.Add(graphs3[i]) - print multiGraph3 - multiGraph3.Draw("AP") - legend3.Draw() - multiGraph3.SetTitle(algo + "_nonBJetEfficiency_v_BJetEfficiency") - multiGraph3.GetXaxis().SetTitle("B-Jet Efficiency") - multiGraph3.GetYaxis().SetTitle("Non-B-Jet Efficiency") - outputFilename3 = "/BJetAnalysis/" + algo + "_nonBJetEfficiency_v_bJetEfficiency" - saveAs(canvas3, outputFilename3, outputFormats, outputFolder) - bJetEfficiencies = array ('f', []) - cJetEfficiencies = array ('f', []) - gluonJetEfficiencies = array ('f', []) - udsJetEfficiencies = array ('f', []) - graphs3 = [] - - #plot uds jet efficiencies against b-jet efficiency for all algorithms - print "Plotting non-b jet efficiency against b-jet efficiency" - gStyle.SetOptStat(001111111) - #loop through root file (and histogram) for each algorithm for each jet type - - bJetEfficiencies = {} - udsJetEfficiencies = {} - - graphs4 = [] - #print graphs1 - for algo in algos: - print algo - for jet in jets: - inputFilename = "/storage/phjaj/Plots/BJetAnalysis/" + algo + "_" + jet + "_efficiency.root" # e.g. csv_disc_bjets.root, csv_disc_cjets.root etc. - file = TFile.Open(inputFilename) - gr = file.canvas1.GetPrimitive("Graph") - print "type = ", type(gr) - #gr.Draw() - print algo, " ", jet - n = gr.GetN() - yValues = gr.GetY() - - b = array('f', []) - uds = array('f', []) - - for i in range(n): - if jet == "bQuarkJets": - b.append(yValues[i]) - if jet == "udsQuarkJets": - uds.append(yValues[i]) - if b: - bJetEfficiencies[algo] = b - if uds: - udsJetEfficiencies[algo] = uds - legend4 = TLegend(0.7, 0.15, 0.85, 0.35) - print len(bJetEfficiencies[algo]) - print len(udsJetEfficiencies[algo]) - - gr = TGraph(max, bJetEfficiencies[algo], udsJetEfficiencies[algo]) - - gr.SetMarkerColor(algos.index(algo) + 1) - #gr.SetLineColor(algos.index(algo) + 1) - #gr.SetLineWidth(2) - gr.SetMarkerStyle(algos.index(algo) + 20) - gr.SetMarkerSize(0.75) - graphs4.append(gr) - #print graphs4 - canvas4 = TCanvas("canvas4", "canvas4", 800, 800) - multiGraph4 = TMultiGraph() - for i in range(len(graphs4)): - #print graphs4[i] - multiGraph4.Add(graphs4[i]) - legend4.AddEntry(graphs4[i], algos[i] + "_efficiency", "p") - #print multiGraph4 - multiGraph4.Draw("AP") - legend4.Draw() - multiGraph4.SetTitle("UDS-JetEfficiency_v_B-JetEfficiency") - multiGraph4.GetXaxis().SetTitle("B-Jet Efficiency") - multiGraph4.GetYaxis().SetTitle("UDS-Jet Efficiency") - outputFilename4 = "/BJetAnalysis/udsJetEfficiency_v_bJetEfficiency" - print "Saving canvas", outputFilename4 - saveAs(canvas4, outputFilename4, outputFormats, outputFolder) - - -def setStyles(dataPlot, mcPlot): - mcPlot.SetLineColor(2) - mcPlot.SetMarkerColor(2) - mcPlot.SetMarkerStyle(22) - -def getLegend(dataPlot, mcPlot): - leg = TLegend(0.7, 0.2, 0.8, 0.3) - leg.SetBorderSize(0); - leg.SetLineStyle(0); - leg.SetTextFont(42); - leg.SetFillStyle(0); - leg.AddEntry(dataPlot, 'data', 'P') - leg.AddEntry(mcPlot, 'MC', 'P') - return leg - -def getCaption(): - tex = TLatex(0.18, 1, "CMS Preliminary 2011, #sqrt{s} = 7 TeV, L = 4.69 fb^{-1}"); - tex.SetNDC(); - tex.SetTextAlign(13); - tex.SetTextFont(42); - tex.SetTextSize(0.04); - tex.SetLineWidth(2); - return tex - -if __name__ == '__main__': - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 5001;') - - files = inputFiles.files - - histNames = [ - 'BJetAnalysis/CombinedSecondaryVertex_allJets', - 'BJetAnalysis/CombinedSecondaryVertex_bQuarkJets', - 'BJetAnalysis/CombinedSecondaryVertex_cQuarkJets', - 'BJetAnalysis/CombinedSecondaryVertex_gluonJets', - 'BJetAnalysis/CombinedSecondaryVertex_udsQuarkJets', - 'BJetAnalysis/CombinedSecondaryVertexMVA_allJets', - 'BJetAnalysis/CombinedSecondaryVertexMVA_bQuarkJets', - 'BJetAnalysis/CombinedSecondaryVertexMVA_cQuarkJets', - 'BJetAnalysis/CombinedSecondaryVertexMVA_gluonJets', - 'BJetAnalysis/CombinedSecondaryVertexMVA_udsQuarkJets', - 'BJetAnalysis/JetBProbability_allJets', - 'BJetAnalysis/JetBProbability_bQuarkJets', - 'BJetAnalysis/JetBProbability_cQuarkJets', - 'BJetAnalysis/JetBProbability_gluonJets', - 'BJetAnalysis/JetBProbability_udsQuarkJets', - 'BJetAnalysis/JetProbability_allJets', - 'BJetAnalysis/JetProbability_bQuarkJets', - 'BJetAnalysis/JetProbability_cQuarkJets', - 'BJetAnalysis/JetProbability_gluonJets', - 'BJetAnalysis/JetProbability_udsQuarkJets', - 'BJetAnalysis/SimpleSecondaryVertexHighEfficiency_allJets', - 'BJetAnalysis/SimpleSecondaryVertexHighEfficiency_bQuarkJets', - 'BJetAnalysis/SimpleSecondaryVertexHighEfficiency_cQuarkJets', - 'BJetAnalysis/SimpleSecondaryVertexHighEfficiency_gluonJets', - 'BJetAnalysis/SimpleSecondaryVertexHighEfficiency_udsQuarkJets', - 'BJetAnalysis/SimpleSecondaryVertexHighPurity_allJets', - 'BJetAnalysis/SimpleSecondaryVertexHighPurity_bQuarkJets', - 'BJetAnalysis/SimpleSecondaryVertexHighPurity_cQuarkJets', - 'BJetAnalysis/SimpleSecondaryVertexHighPurity_gluonJets', - 'BJetAnalysis/SimpleSecondaryVertexHighPurity_udsQuarkJets', - 'BJetAnalysis/SoftElectronByIP3d_allJets', - 'BJetAnalysis/SoftElectronByIP3d_bQuarkJets', - 'BJetAnalysis/SoftElectronByIP3d_cQuarkJets', - 'BJetAnalysis/SoftElectronByIP3d_gluonJets', - 'BJetAnalysis/SoftElectronByIP3d_udsQuarkJets', - 'BJetAnalysis/SoftElectronByPt_allJets', - 'BJetAnalysis/SoftElectronByPt_bQuarkJets', - 'BJetAnalysis/SoftElectronByPt_cQuarkJets', - 'BJetAnalysis/SoftElectronByPt_gluonJets', - 'BJetAnalysis/SoftElectronByPt_udsjets', - 'BJetAnalysis/SoftMuon_allJets', - 'BJetAnalysis/SoftMuon_bQuarkJets', - 'BJetAnalysis/SoftMuon_cQuarkJets', - 'BJetAnalysis/SoftMuon_gluonJets', - 'BJetAnalysis/SoftMuon_udsQuarkJets', - 'BJetAnalysis/SoftMuonByIP3d_allJets', - 'BJetAnalysis/SoftMuonByIP3d_bQuarkJets', - 'BJetAnalysis/SoftMuonByIP3d_cQuarkJets', - 'BJetAnalysis/SoftMuonByIP3d_gluonJets', - 'BJetAnalysis/SoftMuonByIP3d_udsQuarkJets', - 'BJetAnalysis/SoftMuonByPt_allJets', - 'BJetAnalysis/SoftMuonByPt_bQuarkJets', - 'BJetAnalysis/SoftMuonByPt_cQuarkJets', - 'BJetAnalysis/SoftMuonByPt_gluonJets', - 'BJetAnalysis/SoftMuonByPt_udsQuarkJets', - 'BJetAnalysis/TrackCountingHighEfficiency_allJets', - 'BJetAnalysis/TrackCountingHighEfficiency_bQuarkJets', - 'BJetAnalysis/TrackCountingHighEfficiency_cQuarkJets', - 'BJetAnalysis/TrackCountingHighEfficiency_gluonJets', - 'BJetAnalysis/TrackCountingHighEfficiency_udsQuarkJets', - 'BJetAnalysis/TrackCountingHighPurity_allJets', - 'BJetAnalysis/TrackCountingHighPurity_bQuarkJets', - 'BJetAnalysis/TrackCountingHighPurity_cQuarkJets', - 'BJetAnalysis/TrackCountingHighPurity_gluonJets', - 'BJetAnalysis/TrackCountingHighPurity_udsQuarkJets', - ] - - - bTagFiles = {} - - #bTagFiles['data'] = inputFiles.files['data'] - bTagFiles['ttbar'] = '/storage/results/histogramfiles/TTJet_50000pb_PFElectron_PFMuon_PF2PATJets_PFMET.root' - - #histNames = ['BJetAnalysis/' + histName for histName in histNames] - HistPlotter.setStyle() - hists = HistGetter.getHistsFromFiles(histNames, bTagFiles) #returns a dictionary of form {histname:hist} - makeBTagPlots(hists['ttbar']) - makeEfficiencyPlots() diff --git a/scripts_old/calculateRatio.py b/scripts_old/calculateRatio.py deleted file mode 100644 index 4b154573..00000000 --- a/scripts_old/calculateRatio.py +++ /dev/null @@ -1,57 +0,0 @@ -from uncertainties import ufloat -from math import sqrt - -reductionRelIso = ufloat((1.394, 0.878)) - -ThreeJet1b_A = ufloat((263.3,134.8)) -ThreeJet1b_B = ufloat((720,102.1)) -ThreeJet1b_B = ThreeJet1b_B/reductionRelIso - -FourJet0b_A = ufloat((812.3,217.6)) -FourJet0b_B = ufloat((1097.3,185.53)) -FourJet0b_B = FourJet0b_B/reductionRelIso - -FourJet1b_A = ufloat((157.2,100.2)) -FourJet1b_B = ufloat((398.7,42.6)) -FourJet1b_B = FourJet1b_B/reductionRelIso - -FourJet2b_A = ufloat((15.3,84.7)) -FourJet2b_B = ufloat((58.7, 30.0)) -FourJet2b_B = FourJet2b_B/reductionRelIso - -#correct errors for bias -#ThreeJet1b_B = ufloat((ThreeJet1b_B.nominal_value,sqrt(ThreeJet1b_B.std_dev()**2 + (ThreeJet1b_B.nominal_value*biasrelIso)**2))) -#FourJet0b_B = ufloat((FourJet0b_B.nominal_value,sqrt(FourJet0b_B.std_dev()**2 + (FourJet0b_B.nominal_value*biasrelIso)**2))) -#FourJet1b_B = ufloat((FourJet1b_B.nominal_value,sqrt(FourJet1b_B.std_dev()**2 + (FourJet1b_B.nominal_value*biasrelIso)**2))) -#FourJet2b_B = ufloat((FourJet2b_B.nominal_value,sqrt(FourJet2b_B.std_dev()**2 + (FourJet2b_B.nominal_value*biasrelIso)**2))) - - - -ratio3j1t = ThreeJet1b_A/ThreeJet1b_B -ratio4j0t = FourJet0b_A/FourJet0b_B -ratio4j1t = FourJet1b_A/FourJet1b_B -ratio4j2t = FourJet2b_A/FourJet2b_B - -ThreeJ1t = (ThreeJet1b_A.nominal_value, ThreeJet1b_A.std_dev(), ThreeJet1b_B.nominal_value, ThreeJet1b_B.std_dev(), - ratio3j1t.nominal_value, ratio3j1t.std_dev(), ((1-ratio3j1t)/ratio3j1t.std_dev()).nominal_value) - -FourJ0t = (FourJet0b_A.nominal_value, FourJet0b_A.std_dev(), FourJet0b_B.nominal_value, FourJet0b_B.std_dev(), - ratio4j0t.nominal_value, ratio4j0t.std_dev(), ((1-ratio4j0t)/ratio4j0t.std_dev()).nominal_value) - -FourJ1t = (FourJet1b_A.nominal_value, FourJet1b_A.std_dev(), FourJet1b_B.nominal_value, FourJet1b_B.std_dev(), - ratio4j1t.nominal_value, ratio4j1t.std_dev(), ((1-ratio4j1t)/ratio4j1t.std_dev()).nominal_value) - -FourJ2t = (FourJet2b_A.nominal_value, FourJet2b_A.std_dev(), FourJet2b_B.nominal_value, FourJet2b_B.std_dev(), - ratio4j2t.nominal_value, ratio4j2t.std_dev(), ((1-ratio4j2t)/ratio4j2t.std_dev()).nominal_value) - -print '| * signal region* | *estimate mT* | *estimate relative isolation* | *ratio* | *# std deviations from 1* |' -print '| 3j1t | %.1f ± %.1f | %.1f ± %.1f | %.2f ± %.2f | %.2f |' % ThreeJ1t -print '| 4j0t | %.1f ± %.1f | %.1f ± %.1f | %.2f ± %.2f | %.2f |' % FourJ0t -print '| 4j1t | %.1f ± %.1f | %.1f ± %.1f | %.2f ± %.2f | %.2f |' % FourJ1t -print '| 4j2t | %.1f ± %.1f | %.1f ± %.1f | %.2f ± %.2f | %.2f |' % FourJ2t - - -#print '3j1t', ratio3j1t, '(1-ratio)/error', (1-ratio3j1t)/ratio3j1t.std_dev() -#print '4j0t', ratio4j0t, '(1-ratio)/error', (1-ratio4j0t)/ratio4j0t.std_dev() -#print '4j1t', ratio4j1t, '(1-ratio)/error', (1-ratio4j1t)/ratio4j1t.std_dev() -#print '4j2t', ratio4j2t, '(1-ratio)/error', (1-ratio4j2t)/ratio4j2t.std_dev() \ No newline at end of file diff --git a/scripts_old/copyGridFolder b/scripts_old/copyGridFolder deleted file mode 100644 index 8e0ae2b9..00000000 --- a/scripts_old/copyGridFolder +++ /dev/null @@ -1,63 +0,0 @@ -#!/usr/bin/env python -''' -Created on 7 Jun 2010 - -@author: kreczko - -Email: kreczko@cern.ch -''' -import sys, os -try: - import subprocess -except: - print "You have to use Python 2.4 or higher" - sys.exit(0) -from optparse import OptionParser - -srmBase = 'srm://srm-cms.cern.ch:8443/srm/managerv2?SFN=/castor/cern.ch/cms' -srmBaseCopy = 'srm://srm-cms.cern.ch:8443/srm/managerv2?SFN=' - -def getFiles(gridFolder, input): - if gridFolder.endswith('/'): - gridFolder = gridFolder.rstrip('/') - input = input.rstrip(' ') - fileLinesOnly = input[input.find(gridFolder) + len(gridFolder):] - fileLines = fileLinesOnly.split('\n')[1:] - fileLines = [fileLine.lstrip(' ') for fileLine in fileLines] - files = [line.split(' ')[1] for line in fileLines if len(line.split(' ')) == 2] - files.sort() - return files - -def listFiles(gridFolder): - output = subprocess.Popen(['srmls', srmBase + gridFolder], stdout=subprocess.PIPE).communicate()[0] - return output - -def copySrm(file): - ommitExisting = '-overwrite_mode=WHEN_FILES_ARE_DIFFERENT' - protocolVersion = '-srm_protocol_version=2' - output = subprocess.Popen(['srmcp', ommitExisting, protocolVersion, srmBase + file], stdout=subprocess.PIPE).communicate()[0] - return '' - -def copylcg(file, to): - print '>> lcg-cp ' + srmBaseCopy + file + ' ' + to - output = subprocess.Popen(['lcg-cp', srmBaseCopy + file, to], stdout=subprocess.PIPE).communicate()[0] - return output - -if __name__ == '__main__': - - parser = OptionParser() - (options, args) = parser.parse_args() - if len(args) > 0: - path = args[0] - filelist = listFiles(path) - for file in getFiles(path, filelist): - filename = file.split('/')[-1] - if not os.path.exists(filename): - to = os.getcwd() + '/' + filename - print 'Copying file', srmBase + file - copylcg(file, to) - print - else: - print filename, 'already exists' - else: - print 'Copy path was not specified. Use script "./copyGridFolder path"' diff --git a/scripts_old/deleteGridFolder b/scripts_old/deleteGridFolder deleted file mode 100644 index 6c980e43..00000000 --- a/scripts_old/deleteGridFolder +++ /dev/null @@ -1,65 +0,0 @@ -#!/usr/bin/env python -''' -Created on 7 Jun 2010 - -@author: kreczko - -Email: kreczko@cern.ch -''' -import sys -try: - import subprocess -except: - print "You have to use Python 2.4 or higher" - sys.exit(0) -from optparse import OptionParser -files = [] -directories = [] - -srmBase = 'srm://lcgse02.phy.bris.ac.uk:8444/srm/managerv2?SFN=' - -def getFiles(gridFolder, input): - if gridFolder.endswith('/'): - gridFolder = gridFolder.rstrip('/') - input = input.rstrip(' ') - fileLinesOnly = input[input.find(gridFolder)+len(gridFolder):] - fileLines = fileLinesOnly.split('\n')[1:] - fileLines = [fileLine.lstrip(' ') for fileLine in fileLines] - files = [line.split(' ')[1] for line in fileLines if len(line.split(' ')) == 2] - files.sort() - return files - -def listFiles(gridFolder): - output = subprocess.Popen(['srmls', srmBase + gridFolder], stdout = subprocess.PIPE).communicate()[0] - return output - -def delete(file): - output = subprocess.Popen(['srmrm', srmBase + file], stdout = subprocess.PIPE).communicate()[0] - return output - -def deleteFolder(folder): - output = subprocess.Popen(['srmrmdir', srmBase + folder], stdout = subprocess.PIPE).communicate()[0] - return output - -def deleteGridFolder(path): - filelist = listFiles(path) - for file in getFiles(path, filelist): - print delete(file) - print deleteFolder(path) - -if __name__ == '__main__': - - parser = OptionParser() - parser.add_option("-r", "--recursive", - action="store_true", dest="recursive", default=False, - help="delete grid folder recursively") - - (options, args) = parser.parse_args() - if len(args) >0 and not options['recursive']: - path = args[0] - deleteGridFolder(path) - elif len(args) >0 and options['recursive']: - pass - - else: - print 'Delete path was not specified. Use script "./deleteGridFolder path"' diff --git a/scripts_old/delete_gpfs_dir.py b/scripts_old/delete_gpfs_dir.py deleted file mode 100644 index 5045e790..00000000 --- a/scripts_old/delete_gpfs_dir.py +++ /dev/null @@ -1,74 +0,0 @@ -try: - import subprocess -except: - print "You have to use Python 2.4 or higher" - sys.exit(0) -from optparse import OptionParser -import os - - -files = [] -directories = [] - -SEbase = 'srm://lcgse02.phy.bris.ac.uk:8444/srm/managerv2?SFN=/cms/' -gpfsBase = '/gpfs_phys/storm/cms/' - -def delete(file): - output = subprocess.Popen(['srmrm', srmBase + file], stdout=subprocess.PIPE).communicate()[0] - return output - -def listDirectory(path): - - dirlist = os.listdir(path) - - isFile = os.path.isfile - isDir = os.path.isdir - - for item in dirlist: - newPath = path + '/' + item - if isFile(newPath): - files.append(newPath) - elif isDir(newPath): - directories.append(newPath) - listDirectory(newPath) - -def deleteFiles(files): - for file in files: - file = file.replace(gpfsBase, SEbase) - print 'deleting file:', file - output = subprocess.Popen(['srmrm', file], stdout=subprocess.PIPE).communicate()[0] - -def deleteFolder(folder): - print 'deleting folder:', folder - output = subprocess.Popen(['srmrmdir', '-recursive', folder], stdout=subprocess.PIPE).communicate()[0] - return output - -def printTotalSize(path): - output = subprocess.Popen(['du', '-sch', path], stdout=subprocess.PIPE).communicate()[0] - print output - -if __name__ == '__main__': - parser = OptionParser() - parser.add_option("-r", "--recursive", - action="store_true", dest="recursive", default=False, - help="delete gpfs folder recursively") - - (options, args) = parser.parse_args() - if len(args) > 0 and vars(options)['recursive']: - path = args[0] - print 'getting files' -# print os.listdir(path) - printTotalSize(path) - listDirectory(path) - deleteFiles(files) - deleteFolder(path.replace(gpfsBase, SEbase)) - print 'number of files:', len(files) - if len(files) > 0: - print 'first file:', files[0] - - print 'number of directories:', len(directories) - if len(directories) > 0: - print 'first dir', directories[0] - - else: - print 'Delete path was not specified. 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kreczko - -Email: kreczko@cern.ch -''' - -from optparse import OptionParser -import os -import copy -import glob -import sys -import ROOT -rootFile = ROOT.TFile - -duplicates = [] -duplicateFiles = {} - -def getROOTFiles(path): - path += "/*.root" - files = glob.glob(path) - return files - -def getUniqueFiles(files): - if listContainsDuplicates(files): - findDuplicates(files) - else: - return files - uniqueFiles = copy.copy(files) - for values in duplicateFiles.itervalues(): - for value in values: - if value in uniqueFiles: - uniqueFiles.remove(value) - values.sort() - uniqueFiles.append(values[-1]) - return uniqueFiles - -def listContainsDuplicates(list): - seen = [] - for item in list: - jobnumber = extractJobnumber(item) - if jobnumber in seen: - duplicates.append(jobnumber) - else: - seen.append(jobnumber) - return len(duplicates) >0 - -def findDuplicates(files): - for file in files: - for job in duplicates: - if job == extractJobnumber(file): - addDuplicate(job, file) - -def extractJobnumber(file): - jobnumber = file.split('_')[-3] - number = 0 - try: - number = int(jobnumber) - except: - print "Could not find the job number for" - print file - print 'exiting...' - sys.exit(-1) - return number - -def addDuplicate(jobnumber, file): - if not duplicateFiles.has_key(jobnumber): - duplicateFiles[jobnumber] = [] - duplicateFiles[jobnumber].append(file) - -def getDuplicateFiles(allFiles, uniqueFiles): - filesToRemove = [file for file in allFiles if not file in uniqueFiles] - return filesToRemove - -def checkFiles(files): - goodFiles = [] - badFiles = [] - - for file in files: - if checkFile(file): - goodFiles.append(file) - else: - badFiles.append(file) - - return goodFiles, badFiles - -def checkFile(file): - passesCheck = False - - try: - openFile = rootFile.Open(file) - if openFile: - passesCheck = True - except: - print "Could not open ROOT file" - - return passesCheck - - -if __name__ == "__main__": - ROOT.gROOT.SetBatch(True) - ROOT.gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - parser = OptionParser() - parser.add_option("-c", "--check", - action="store_false", dest="check", default=True, - help="check if files are valid files ") - (options, args) = parser.parse_args() - if len(args) >0: - - path = args[0] - files = getROOTFiles(path) - files.sort() - if options.check: - print 'checking files' - good, bad = checkFiles(files) - print 'Number of good files', len(good) - print 'Number of bad files', len(bad) - uniqueFiles = getUniqueFiles(files) - uniqueFiles.sort() - duplicateFiles = getDuplicateFiles(files, uniqueFiles) - print 'Number of file in path:', len(files) - print 'Number of unique files', len(uniqueFiles) - print 'Number of duplicate files:', len(duplicateFiles) - if len(duplicateFiles) > 0: - print 'Files to remove:' - for file in duplicateFiles: - print path + file - if options['check']: - print 'check files' - else: - print 'File path was not specified. Use script "./remove_duplicates path"' - -#print a list of -#Files in 'Folder' -# FileName, size, reason to delete -#Do you want to delete these files? 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fbce3.Get("QCDest_CombRelIso_0jet")); - QCD_0jet.Add( fenri1.Get("QCDest_CombRelIso_0jet")); - QCD_0jet.Add( fenri2.Get("QCDest_CombRelIso_0jet")); - QCD_0jet.Add( fenri3.Get("QCDest_CombRelIso_0jet")); - pj_0jet = fpj1.Get("QCDest_CombRelIso_0jet"); - pj_0jet.Add( fpj2.Get(Form("QCDest_CombRelIso_0jet", nj))); - pj_0jet.Add( fpj3.Get(Form("QCDest_CombRelIso_0jet", nj))); - wj_0jet = fwjets.Get("QCDest_CombRelIso_0jet"); - zj_0jet = fzjets.Get("QCDest_CombRelIso_0jet"); - tt_0jet = fttbar.Get("QCDest_CombRelIso_0jet"); - stop_0jet = fsTopTW.Get("QCDest_CombRelIso_0jet"); - stop_0jet.Add( fsToptC.Get("QCDest_CombRelIso_0jet")); - mc_0jet = QCD_0jet.Clone("sumMC_0jet"); - mc_0jet.Add(pj_0jet); - mc_0jet.Add(wj_0jet); - mc_0jet.Add(zj_0jet); - mc_0jet.Add(tt_0jet); - mc_0jet.Add(stop_0jet); - - # 1-jet - data_1jet = fdata.Get("QCDest_CombRelIso_1jet"); - QCD_1jet = fbce2.Get("QCDest_CombRelIso_1jet"); - QCD_1jet.Add( fbce3.Get("QCDest_CombRelIso_1jet")); - QCD_1jet.Add( fenri1.Get("QCDest_CombRelIso_1jet")); - QCD_1jet.Add( fenri2.Get("QCDest_CombRelIso_1jet")); - QCD_1jet.Add( fenri3.Get("QCDest_CombRelIso_1jet")); - pj_1jet = fpj1.Get("QCDest_CombRelIso_1jet"); - pj_1jet.Add( fpj2.Get(Form("QCDest_CombRelIso_1jet", nj))); - pj_1jet.Add( fpj3.Get(Form("QCDest_CombRelIso_1jet", nj))); - wj_1jet = fwjets.Get("QCDest_CombRelIso_1jet"); - zj_1jet = fzjets.Get("QCDest_CombRelIso_1jet"); - tt_1jet = fttbar.Get("QCDest_CombRelIso_1jet"); - stop_1jet = fsTopTW.Get("QCDest_CombRelIso_1jet"); - stop_1jet.Add( fsToptC.Get("QCDest_CombRelIso_1jet")); - mc_1jet = QCD_1jet.Clone("sumMC_1jet"); - mc_1jet.Add(pj_1jet); - mc_1jet.Add(wj_1jet); - mc_1jet.Add(zj_1jet); - mc_1jet.Add(tt_1jet); - mc_1jet.Add(stop_1jet); - - # 2-jet - data_2jets = fdata.Get("QCDest_CombRelIso_2jets"); - QCD_2jets = fbce2.Get("QCDest_CombRelIso_2jets"); - QCD_2jets.Add( fbce3.Get("QCDest_CombRelIso_2jets")); - QCD_2jets.Add( fenri1.Get("QCDest_CombRelIso_2jets")); - QCD_2jets.Add( fenri2.Get("QCDest_CombRelIso_2jets")); - QCD_2jets.Add( fenri3.Get("QCDest_CombRelIso_2jets")); - pj_2jets = fpj1.Get("QCDest_CombRelIso_2jets"); - pj_2jets.Add( fpj2.Get(Form("QCDest_CombRelIso_2jets", nj))); - pj_2jets.Add( fpj3.Get(Form("QCDest_CombRelIso_2jets", nj))); - wj_2jets = fwjets.Get("QCDest_CombRelIso_2jets"); - zj_2jets = fzjets.Get("QCDest_CombRelIso_2jets"); - tt_2jets = fttbar.Get("QCDest_CombRelIso_2jets"); - stop_2jets = fsTopTW.Get("QCDest_CombRelIso_2jets"); - stop_2jets.Add( fsToptC.Get("QCDest_CombRelIso_2jets")); - mc_2jets = QCD_2jets.Clone("sumMC_2jets"); - mc_2jets.Add(pj_2jets); - mc_2jets.Add(wj_2jets); - mc_2jets.Add(zj_2jets); - mc_2jets.Add(tt_2jets); - mc_2jets.Add(stop_2jets); - - # 3-jet - data_3jets = fdata.Get("QCDest_CombRelIso_3jets"); - QCD_3jets = fbce2.Get("QCDest_CombRelIso_3jets"); - QCD_3jets.Add( fbce3.Get("QCDest_CombRelIso_3jets")); - QCD_3jets.Add( fenri1.Get("QCDest_CombRelIso_3jets")); - QCD_3jets.Add( fenri2.Get("QCDest_CombRelIso_3jets")); - QCD_3jets.Add( fenri3.Get("QCDest_CombRelIso_3jets")); - pj_3jets = fpj1.Get("QCDest_CombRelIso_3jets"); - pj_3jets.Add( fpj2.Get(Form("QCDest_CombRelIso_3jets", nj))); - pj_3jets.Add( fpj3.Get(Form("QCDest_CombRelIso_3jets", nj))); - wj_3jets = fwjets.Get("QCDest_CombRelIso_3jets"); - zj_3jets = fzjets.Get("QCDest_CombRelIso_3jets"); - tt_3jets = fttbar.Get("QCDest_CombRelIso_3jets"); - stop_3jets = fsTopTW.Get("QCDest_CombRelIso_3jets"); - stop_3jets.Add( fsToptC.Get("QCDest_CombRelIso_3jets")); - mc_3jets = QCD_3jets.Clone("sumMC_3jets"); - mc_3jets.Add(pj_3jets); - mc_3jets.Add(wj_3jets); - mc_3jets.Add(zj_3jets); - mc_3jets.Add(tt_3jets); - mc_3jets.Add(stop_3jets); - - # >=4-jet - data_4orMoreJets = fdata.Get("QCDest_CombRelIso_4orMoreJets"); - QCD_4orMoreJets = fbce2.Get("QCDest_CombRelIso_4orMoreJets"); - QCD_4orMoreJets.Add( fbce3.Get("QCDest_CombRelIso_4orMoreJets")); - QCD_4orMoreJets.Add( fenri1.Get("QCDest_CombRelIso_4orMoreJets")); - QCD_4orMoreJets.Add( fenri2.Get("QCDest_CombRelIso_4orMoreJets")); - QCD_4orMoreJets.Add( fenri3.Get("QCDest_CombRelIso_4orMoreJets")); - pj_4orMoreJets = fpj1.Get("QCDest_CombRelIso_4orMoreJets"); - pj_4orMoreJets.Add( fpj2.Get(Form("QCDest_CombRelIso_4orMoreJets", nj))); - pj_4orMoreJets.Add( fpj3.Get(Form("QCDest_CombRelIso_4orMoreJets", nj))); - wj_4orMoreJets = fwjets.Get("QCDest_CombRelIso_4orMoreJets"); - zj_4orMoreJets = fzjets.Get("QCDest_CombRelIso_4orMoreJets"); - tt_4orMoreJets = fttbar.Get("QCDest_CombRelIso_4orMoreJets"); - stop_4orMoreJets = fsTopTW.Get("QCDest_CombRelIso_4orMoreJets"); - stop_4orMoreJets.Add( fsToptC.Get("QCDest_CombRelIso_4orMoreJets")); - mc_4orMoreJets = QCD_4orMoreJets.Clone("sumMC_4orMoreJets"); - mc_4orMoreJets.Add(pj_4orMoreJets); - mc_4orMoreJets.Add(wj_4orMoreJets); - mc_4orMoreJets.Add(zj_4orMoreJets); - mc_4orMoreJets.Add(tt_4orMoreJets); - mc_4orMoreJets.Add(stop_4orMoreJets); - - # First make clone of 4orMoreJets since this will be added for all cases - data = data_4orMoreJets.Clone("data"); - mc = mc_4orMoreJets.Clone("mc"); - QCD = QCD_4orMoreJets.Clone("QCD"); - pj = pj_4orMoreJets.Clone("pj"); - wj = wj_4orMoreJets.Clone("wj"); - zj = zj_4orMoreJets.Clone("zj"); - tt = tt_4orMoreJets.Clone("tt"); - stop = stop_4orMoreJets.Clone("stop"); - - #---------------------------------- - # >=0jet: 0jet+1jet+2jets+3jets+4orMoreJets = all - # >=1jet: 1jet+2jets+3jets+4orMoreJets - # >=2jets: 2jets+3jets+4orMoreJets - # >=3jets: 3jets+4orMoreJets - # >=4j: 4orMoreJets = 4orMoreJets - #---------------------------------- - - # Add 1jet - if (nj == "1mj"): - data.Add(data_1jet); - mc.Add(mc_1jet); - QCD.Add(QCD_1jet); - pj.Add(pj_1jet); - wj.Add(wj_1jet); - zj.Add(zj_1jet); - tt.Add(tt_1jet); - stop.Add(stop_1jet); - - # Add 2jets - if (nj == "1mj" or nj == "2mj"): - data.Add(data_2jets); - mc.Add(mc_2jets); - QCD.Add(QCD_2jets); - pj.Add(pj_2jets); - wj.Add(wj_2jets); - zj.Add(zj_2jets); - tt.Add(tt_2jets); - stop.Add(stop_2jets); - - # Add 3jets - data.Add(data_3jets); - mc.Add(mc_3jets); - QCD.Add(QCD_3jets); - pj.Add(pj_3jets); - wj.Add(wj_3jets); - zj.Add(zj_3jets); - tt.Add(tt_3jets); - stop.Add(stop_3jets); - - print "-----------------------------------" - print " DATA nEntries Integral" - print "-----------------------------------" - print ' '*10,"0jet",' '*10,data_0jet.GetEntries(),' '*10,data_0jet.Integral() - print ' '*10,"1jet",' '*10,data_1jet.GetEntries(),' '*10,data_1jet.Integral() - print ' '*10,"2jets",' '*10,data_2jets.GetEntries(),' '*10,data_2jets.Integral() - print ' '*10,"3jets",' '*10,data_3jets.GetEntries(),' '*10,data_3jets.Integral() - print ' '*10,">=4j",' '*10,data_4orMoreJets.GetEntries(),' '*10 ,data_4orMoreJets.Integral() - print "-----------------------------------" - print ' '*10,ijlabel[ijet],' '*10,data.GetEntries(),' '*10,data.Integral() - print "-----------------------------------" - - return 0; - - -def make_QCDnormToEstimate_plot(): - - c1 = TCanvas("c1", "RelIso fit", 600, 400);#,"",500,500); - - data.GetXaxis().SetRangeUser(0, 1.6 - 0.01); - if (nj == "2jets"): - data.GetYaxis().SetRangeUser(0, 16.); - - # draw data - data.Draw(); - if (nj == "all" and YMAX_all > 0): - data.GetYaxis().SetRangeUser(0, YMAX_all); - if (nj == "1mj" and YMAX_1mj > 0): - data.GetYaxis().SetRangeUser(0, YMAX_1mj); - if (nj == "2mj" and YMAX_2mj > 0): - data.GetYaxis().SetRangeUser(0, YMAX_2mj); - if (nj == "3mj" and YMAX_3mj > 0): - data.GetYaxis().SetRangeUser(0, YMAX_3mj); - if (nj == "4orMoreJets" and YMAX_4orMoreJets > 0): - data.GetYaxis().SetRangeUser(0, YMAX_4orMoreJets); - - # draw mc - mcStack.Draw("ahist same"); - data.Draw("ae same"); - data.Draw("axis same"); - - # Add "CMS Preliminary", integrated luminosity and sqrt(s), and legend - add_cms_label(intlumi, nj); - add_legend_nofit(); - - out = Form("ele_reliso_normToLumi_QCDnormToEst_%s", nj); - - print "out: ",out - c1.SaveAs(Form("%s.C", out)); - c1.SaveAs(Form("%s.eps", out)); - gROOT.ProcessLine(Form(".!ps2pdf -dEPSCrop %s.eps", out)); - gROOT.ProcessLine(Form(".!rm -f %s.eps", out)); - - c1.Close(); #crucial! - - -#------------------------------------------------------------------------------ -# -# main fit code -# -#------------------------------------------------------------------------------ - -def fit_njet(function = "pol1", Fit_From_user = 0.1): - - firstTime = True; - print "\nSwitched from chi2 fit to likelihood fit (better with low stats)\n" - - # Try: 0.1, 0.2 - Fit_From = Fit_From_user; - print "-----------------------" - print " FIT: ",function," range ",Fit_From,"--1.6" - print "-----------------------" - - lw = 2; #line width (function) - - - c1 = TCanvas("c1", "RelIso fit", 600, 400);#,"",500,500); - - - # gStyle.SetOptStat(1110);#off title - - - data.GetXaxis().SetRangeUser(0, 1.6 - 0.01); - if (nj == "2jets"): - # data_max = data.GetMaximum(); - data.GetYaxis().SetRangeUser(0, 18.); - # MET>25 - # data.GetYaxis().SetRangeUser(0,50.); - - - #data.SetTitleFont(42,"XY"); - # data.GetYaxis().SetTitleOffset(1.5); - - data.Draw(); - if (firstTime): - YMAX_all = 2 * data.GetMaximum(); - firstTime = False; - - #if(nj=="all" and YMAX_all>0) data.GetYaxis().SetRangeUser( 0,YMAX_all ); - data.GetYaxis().SetRangeUser(0, YMAX_all); - -# /* -# if(nj=="all" and YMAX_all>0) data.GetYaxis().SetRangeUser(0,YMAX_all); -# if(nj=="1mj" and YMAX_1mj >0) data.GetYaxis().SetRangeUser(0,YMAX_1mj); -# if(nj=="2mj" and YMAX_2mj >0) data.GetYaxis().SetRangeUser(0,YMAX_2mj); -# if(nj=="3mj" and YMAX_3mj >0) data.GetYaxis().SetRangeUser(0,YMAX_3mj); -# if(nj=="4orMoreJets" and YMAX_4orMoreJets >0) data.GetYaxis().SetRangeUser(0,YMAX_4orMoreJets); -# */ - - # draw mc - # mc.Draw("ahist same"); - mcStack.Draw("ahist same"); - data.Draw("ae same"); - data.Draw("axis same"); - - print "Fit Range: ",Fit_From,"-1.6" - - # TFitResultPtr myFitResult = data.Fit("pol1","0S","ah",Fit_From,1.6); # <----Fit Range - # const char *func = Form("%s", function); - - # Fit options used: - # L : likelihood method - # S : store fit results - # 0 : do not draw - myFitResult = data.Fit(function, "0SL", "ah", Fit_From, 1.6); # <----Fit Range - print "func ",function - # Fit line in red - # myf = data.GetFunction("pol1"); - myf = data.GetFunction(function); - myf.SetLineColor(kRed); - myf.SetLineWidth(lw); - - # Extrapolation in dashed blue - myf2 = myf.Clone(); #range 0-0.1 - myf2.SetLineColor(kBlue); - myf2.SetLineStyle(kDashed); - myf2.SetLineWidth(lw); - myf2.SetRange(0, Fit_From); - - myf.Draw("same"); - myf2.Draw("same"); - - # Get estimate from extrapolation - n_extrap = myf2.Integral(0, 0.1) / 0.1; #note divided by bin width=0.1 - - p0 = myf.GetParameter(0); - p1 = myf.GetParameter(1); - e0 = myf.GetParError(0); - e1 = myf.GetParError(1); - - chi2 = myFitResult.Chi2(); - ndf = myFitResult.Ndf(); - - print "------------" - print "Fit results" - print "------------" - print "n extrap = ",n_extrap - print "p0 = ",p0," +/- ",e0 - print "p1 = ",p1," +/- ",e1 - print "chi2/ndf = ",chi2," / ",ndf - - # Constructfunctions to see how estimate varies within fit parameter - # uncertainties, ie error of p0 and p1 - - # vary p0 (normalization) - # newF1_up =TF1("pol1","pol1",0,1.6); - newF1_up =TF1(function, function, 0, 1.6); - newF1_up.SetParameters(p0 + e0, p1); - newF1_up.SetLineColor(kGreen); - newF1_up.SetLineWidth(lw); - #newF1_up.SetLineStyle(kDashed); - #newF1_up.Draw("same"); - - # newF1_down =TF1("pol1","pol1",0,1.6); - newF1_down =TF1(function, function, 0, 1.6); - newF1_down.SetParameters(p0 - e0, p1); - newF1_down.SetLineColor(kGreen); - newF1_down.SetLineWidth(lw); - #newF1_down.SetLineStyle(kDashed); - #newF1_down.Draw("same"); - -# /* -# # vary p1 (gradient) -# newF2_up =TF1("pol1","pol1",0,1.6); -# newF2_up.SetParameters(p0, p1+e1); -# newF2_up.SetLineColor(kViolet); -# newF2_up.SetLineWidth(lw); -# #newF2_up.SetLineStyle(kDashed); -# #newF2_up.Draw("same"); -# -# newF2_down =TF1("pol1","pol1",0,1.6); -# newF2_down.SetParameters(p0, p1-e1); -# newF2_down.SetLineColor(kViolet); -# newF2_down.SetLineWidth(lw); -# #newF2_down.SetLineStyle(kDashed); -# #newF2_down.Draw("same"); -# */ - - # Get theestimates - est_1 = newF1_up.Integral(0, 0.1) / 0.1; - est_2 = newF1_down.Integral(0, 0.1) / 0.1; - #est_3 = newF2_up.Integral(0,0.1)/0.1; - #est_4 = newF2_down.Integral(0,0.1)/0.1; - print "n extrap (p0 + e0, p1 ) = ",est_1 - print "n extrap (p0 - e0, p1 ) = ",est_2 - #print "n extrap (p0 , p1 + e1) = ",est_3 - #print "n extrap (p0 , p1 - e1) = ",est_4 - - # take the maximum deviation as the uncertainty - est_unc = 0; - if (fabs(est_1 - n_extrap) > est_unc): - est_unc = fabs(est_1 - n_extrap); - if (fabs(est_2 - n_extrap) > est_unc): - est_unc = fabs(est_2 - n_extrap); - #if( fabs(est_3 - n_extrap) > est_unc ) est_unc = fabs(est_3 - n_extrap); - #if( fabs(est_4 - n_extrap) > est_unc ) est_unc = fabs(est_4 - n_extrap); - - print "Take the maximum deviation as the uncertainty of the QCD estimate." - print "--------------------------------------------" - print " RESULT: ",function," ",Fit_From,"-1.6" - print "--------------------------------------------" - # prout MC prediction for QCD + photon+jets - if (normMode == 1): - print "\n QCD predicted = ",QCD.Integral(0, 1)," (Lumi)" - TheEstimates,"\n QCD predicted = ",QCD.Integral(0, 1)," (Lumi)" - print "\n QCD estimate = ",n_extrap," +/- ",est_unc," (vary p0)" - TheEstimates," QCD estimate = ",n_extrap," +/- ",est_unc," (vary p0)" - - #---------------------- - # error propagation - #---------------------- - N = 0; - sigmaN = 0; - - if (function == "pol1"): - c = p0; - m = p1; - - eC = e0; - eM = e1; - - N = 0.05 * m + c; - sigmaN = TMath.Hypot(0.05 * eM, eC); - - elif (function == "expo"): - a = p0; - b = p1; - eA = e0; - eB = e1; - - x2 = 0.1; - - exp_ab = exp(a + 0.1 * b); - exp_a = exp(a); - - N = 10 / b * (exp_ab - exp_a); - - # del(N)/del(a/b) - dNda = 1 / (b * x2) * (exp_ab - exp_a); - dNdb = -1 / (b * b * x2) * (exp_ab - exp_a) + 1 / b * exp_ab; - - # Note: sigma(N) = sqrt( dNda^2*eA^2 + dBdb^2*eB^2 ) - sigmaN = TMath.Hypot(dNda * eA, dNdb * eB); - elif (function == "gaus"): - p2 = myf.GetParameter(2); - e2 = myf.GetParError(2); - # Not finished. Calculated estimate is wrong. - print "\n-. Error propagation for Gaussian not yet implemented!" - #calculate_gaus_unc(p0,p1,p2); - - print "\n QCD estimate = ",N; - print " +/- ",sigmaN," (error propagation)\n\n"; - print "--------------------------------------------" - - # Add "CMS Preliminary", integrated luminosity and sqrt(s), and legend - add_cms_label(intlumi, nj); - # add_fit_res( Fit_From, chi2, ndf ); - add_legend(function); - - # save as eps, then convert to pdf - print "Fit_From=",Fit_From - out; - if (function == "pol1"): - out = Form("ele_reliso_fit_%s_linear_from_0%.0f", nj, Fit_From * 10.0); - else: - out = Form("ele_reliso_fit_%s_%s_from_0%.0f", function, nj, Fit_From * 10.0); - - if (normMode == 1): - out += "_normToLumi"; - else: - out += "_normToData"; - - print "out: ",out - c1.SaveAs(Form("%s.C", out)); #save as C++ root macro - c1.SaveAs(Form("%s.eps", out)); - gROOT.ProcessLine(Form(".!ps2pdf -dEPSCrop %s.eps", out)); - gROOT.ProcessLine(Form(".!rm -f %s.eps", out)); - - c1.Close(); #crucial! - -def calculate_gaus_unc(a, b, c): - - # This formula gives wrong results. ?? - print "a: ",a - print "b: ",b - print "c: ",c - x1 = 0.1; - exp1 = exp(-0.5 * pow((x1 - b) / c, 2)); - exp2 = exp(-0.5 * pow(b / c, 2)); - est = -a * c * c / x1 * (exp1 / (x1 - b) + exp2 / b); - #print "est: "<< est - -#------------------------------------------------------------------------------------ - -def ScaleMCtoEstimate(nj_user = "all", estimate): - #aim: scale QCD in signal region to data estimate and compare MC to data - nj = nj_user; - setStyle(); - getHisto(); - - data.GetXaxis().SetRangeUser(0, 1.6); - - tempCan =TCanvas("tempCan", "tempCan", 600, 400); - data.Draw(""); - data.SetMaximum(2 * data.GetMaximum()); - - myStack =THStack("myStack", "myMC stack"); - mcQCD = QCD.Integral(0, 1); - print mcQCD - QCD.Scale(estimate / mcQCD);#setes QCD to estimate - #QCD.Add(pj); - - myStack.Add(QCD); - myStack.Add(pj); - myStack.Add(stop); - myStack.Add(zj); - myStack.Add(wj); - myStack.Add(tt); - myStack.Draw("ahist same"); -# /* -# QCD.Draw("hist same"); -# pj.Draw("hist same"); -# wj.Draw("hist same"); -# zj.Draw("hist same"); -# tt.Draw("hist same"); -# stop.Draw("hist same"); -# */ - - data.Draw("ae same"); - data.Draw("axis same"); - - #mcStack.Draw("ahist same"); - #data.Draw("ae same"); - tempCan.SaveAs(Form("MCQCDscaledtoData_%s.pdf", nj_user)); - tempCan.Close(); - - # cout< maxSize: - maxSize = size - totalSize += size - return {'min': minSize, 'max': maxSize, 'total': totalSize} - - -if __name__ == "__main__": - args = sys.argv - if not len(args) == 2: - print "Please specify a folder to analyze." - sys.exit() - - path = sys.argv[1] - files = getROOTFiles(path) - sizes = getFileSizes(files) - print 'Total size of files: %.3f MB' % (sizes['total']/10**6) - print 'Number of files: %d'% len(files) - print 'Minimal file size: %.3f MB'% (sizes['min']/10**6) - print 'Maximal file size: %.3f MB'% (sizes['max']/10**6) - print 'Average file size: %.3f MB'% (sizes['total']/10**6/len(files)) - print 'target max file size: 250MB', '=> scale factor =', (10**9)/4/sizes['max'] \ No newline at end of file diff --git a/scripts_old/getHLTSuggestion.py b/scripts_old/getHLTSuggestion.py deleted file mode 100644 index b4b70050..00000000 --- a/scripts_old/getHLTSuggestion.py +++ /dev/null @@ -1,115 +0,0 @@ -''' -Created on Mar 5, 2011 - -@author: lkreczko -''' -from __future__ import division -from ROOT import * - - -triggers = [ - #========== 2011 data ============== - #ElectronHad PD - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralJet40_BTagIP_v', #12 - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralJet30_v', #13 - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralDiJet30_v', #14 - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralTriJet30_v', #15 - #renaming for 1E33 - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralJet30_BTagIP_v', #16 - 'HLT_Ele25_CaloIdVT_TrkIdT_DiCentralJet30_v',#17 - 'HLT_Ele25_CaloIdVT_TrkIdT_TriCentralJet30_v', #18 - 'HLT_Ele25_CaloIdVT_TrkIdT_QuadCentralJet30_v', #19 - #new iso triggers: - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralJet30_BTagIP_v',#20 - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralJet30_v',#21 - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_DiCentralJet30_v',#22 - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralJet30_v',#23 - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_QuadCentralJet30_v',#24 - #Higgs trigger - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralJet30_CentralJet25_PFMHT20_v',#25 - #EWK triggers - 'HLT_Ele25_WP80_PFMT40_v',#26 - 'HLT_Ele27_WP70_PFMT40_PFMHT20_v',#27 - #SingleElectron PD - 'HLT_Ele27_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_v', #28 - 'HLT_Ele25_CaloIdL_CaloIsoVL_TrkIdVL_TrkIsoVL_v',#29 - 'HLT_Ele32_CaloIdVL_CaloIsoVL_TrkIdVL_TrkIsoVL_v',#30 - 'HLT_Ele32_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_v',#31 - #5E33 change to PF jets @ HLT - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralPFJet30_v', - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_DiCentralPFJet30_v', - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralPFJet30_v', - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_QuadCentralPFJet30_v', - #control triggers - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralPFJet30_v', - 'HLT_Ele25_CaloIdVT_TrkIdT_DiCentralPFJet30_v', - 'HLT_Ele25_CaloIdVT_TrkIdT_TriCentralPFJet30_v', - 'HLT_Ele25_CaloIdVT_TrkIdT_QuadCentralPFJet30_v', - #Muon Triggers - #SingleMuon - last unprescaled in 1E33 menu - 'HLT_Mu15_v', - 'HLT_Mu20_v', - 'HLT_IsoMu17_v', - 'HLT_IsoMu15_v', - 'HLT_IsoMu24_v', - 'HLT_IsoMu24_eta2p1_v', - 'HLT_IsoMu30_eta2p1_v', - #MuHad - 'HLT_IsoMu17_CentralJet40_BTagIP_v', #32 - 'HLT_Mu17_CentralJet30_v', #33 - 'HLT_Mu17_CentralJet40_BTagIP_v', #34 - 'HLT_Mu17_DiCentralJet30_v', #35 - 'HLT_Mu17_TriCentralJet30_v', #36 - #2E33 - 'HLT_IsoMu17_CentralJet30_BTagIP_v', - 'HLT_IsoMu17_CentralJet30_v', - 'HLT_IsoMu17_DiCentralJet30_v', - 'HLT_IsoMu17_QuadCentralJet30_v', - 'HLT_IsoMu17_TriCentralJet30_v', - #3E33 - added eta requirement @ L1 - 'HLT_IsoMu17_eta2p1_CentralJet30_BTagIP_v', - 'HLT_IsoMu17_eta2p1_CentralJet30_v', - 'HLT_IsoMu17_eta2p1_DiCentralJet30_v', - 'HLT_IsoMu17_eta2p1_QuadCentralJet30_v', - 'HLT_IsoMu17_eta2p1_TriCentralJet30_v', - #5E33 change to PF jets @ HLT - 'HLT_IsoMu17_eta2p1_CentralPFJet30_v', - 'HLT_IsoMu17_eta2p1_DiCentralPFJet30_v', - 'HLT_IsoMu17_eta2p1_TriCentralPFJet30_v', - 'HLT_IsoMu17_eta2p1_QuadCentralPFJet30_v', - #control triggers - 'HLT_Mu17_eta2p1_CentralPFJet30_v', - 'HLT_Mu17_eta2p1_DiCentralPFJet30_v', - 'HLT_Mu17_eta2p1_TriCentralPFJet30_v', - 'HLT_Mu17_eta2p1_QuadCentralPFJet30_v', - ] - -if __name__ == '__main__': - gROOT.SetBatch(1); - chain = TChain("rootTupleTree/tree"); - - chain.Add("/storage/TopQuarkGroup/data/MuHad/nTuple_v4c_Run2011A-05Aug2011-v1_GoldenJSON_muonSkim/*.root"); - chain.Add("/storage/TopQuarkGroup/data/MuHad/nTuple_v4c_Run2011A-May10ReReco-v1_GoldenJSON_muonSkim/*.root"); - chain.Add("/storage/TopQuarkGroup/data/MuHad/nTuple_v4d_Run2011A-PromptReco-v4_GoldenJSON_muonSkim/*.root"); - chain.Add("/storage/TopQuarkGroup/data/MuHad/nTuple_v4d_Run2011A-PromptReco-v6_GoldenJSON_muonSkim/*.root"); - chain.Add("/storage/TopQuarkGroup/data/MuHad/nTuple_v4d_Run2011B-PromptReco-v1_GoldenJSON_muonSkim/*.root"); - chain.SetBranchStatus("*", 0); - chain.SetBranchStatus("Event.Run", 1); - chain.SetBranchStatus("Trigger.HLTPrescales", 1); - muPlus3Jets = triggers.index('HLT_Mu17_TriCentralJet30_v') - muPlus3JetsUnprescaledRuns = [] - - mu3JetsAdd = muPlus3JetsUnprescaledRuns.append - - print 'Starting analysis' - for event in chain: - getVar = event.__getattr__ - prescales = getVar("Trigger.HLTPrescales") - run = getVar("Event.Run") - if not prescales[muPlus3Jets] == 1: - mu3JetsAdd(run) - print 'Finished analysis' - muPlus3JetsUnprescaledRuns.sort() - print muPlus3JetsUnprescaledRuns[0] - - \ No newline at end of file diff --git a/scripts_old/getSkimEfficiency.py b/scripts_old/getSkimEfficiency.py deleted file mode 100644 index 8481f19f..00000000 --- a/scripts_old/getSkimEfficiency.py +++ /dev/null @@ -1,140 +0,0 @@ -from __future__ import division - -from optparse import OptionParser -import sys -from fileInfo import * -from ROOT import * -from mergeROOTFilesWithCompression import getProcess - -pathToSkimHist = "EventFilter/EventCounter" -pathToEventTree = "rootTupleTree/tree" - -def getSkimmedEvents(files): - skimInfo = getSkimInfo(files) - skimHist = skimInfo[0] - - #TODO: do this part dynamic in case the skim changes. The skim has the names set for the bins! - numberOfTotalEvents = skimHist.GetBinContent(1) - numberOfEventsPassingHBHENoiseFilter = skimHist.GetBinContent(2) - numberOfEventsPassingScrapingVeto = skimHist.GetBinContent(3) - numberOfEventsHavingGoodPrimaryVertex = skimHist.GetBinContent(4) - numberOfEventsPassingElectronCuts = skimHist.GetBinContent(5) - numberOfEventsPassingJetCuts = skimHist.GetBinContent(6) - - numberOfEventsAfterAllFilters = skimInfo[1] - electronSkimEfficiency = numberOfEventsPassingHBHENoiseFilter / numberOfTotalEvents - TotalSkimEfficiency = numberOfEventsAfterAllFilters / numberOfTotalEvents - - - dataSetDescription, totals, lastStep = {}, {}, {} - dataSetDescription['numberOfEvents'] = numberOfTotalEvents - dataSetDescription['numberOfEventsAfterSkim'] = numberOfEventsAfterAllFilters - dataSetDescription['totalSkimEfficiency'] = dataSetDescription['numberOfEventsAfterSkim'] / dataSetDescription['numberOfEvents'] - dataSetDescription['HBHENoiseFilter'] = int(numberOfEventsPassingHBHENoiseFilter) - dataSetDescription['ScrapingVeto'] = int(numberOfEventsPassingScrapingVeto) - dataSetDescription['GoodPrimaryVertex'] = int(numberOfEventsHavingGoodPrimaryVertex) - dataSetDescription['ElectronCuts'] = int(numberOfEventsPassingElectronCuts) - dataSetDescription['JetCuts'] = int(numberOfEventsPassingJetCuts) - - - totals['HBHENoiseFilter'] = numberOfEventsPassingHBHENoiseFilter / numberOfTotalEvents - totals['ScrapingVeto'] = numberOfEventsPassingScrapingVeto / numberOfTotalEvents - totals['GoodPrimaryVertex'] = numberOfEventsHavingGoodPrimaryVertex / numberOfTotalEvents - totals['ElectronCuts'] = numberOfEventsPassingElectronCuts / numberOfTotalEvents - totals['JetCuts'] = numberOfEventsPassingJetCuts / numberOfTotalEvents - - lastStep['HBHENoiseFilter'] = numberOfEventsPassingHBHENoiseFilter / numberOfTotalEvents - lastStep['ScrapingVeto'] = numberOfEventsPassingScrapingVeto / numberOfEventsPassingHBHENoiseFilter - lastStep['GoodPrimaryVertex'] = numberOfEventsHavingGoodPrimaryVertex / numberOfEventsPassingScrapingVeto - lastStep['ElectronCuts'] = numberOfEventsPassingElectronCuts / numberOfEventsHavingGoodPrimaryVertex - lastStep['JetCuts'] = numberOfEventsPassingJetCuts / numberOfEventsPassingElectronCuts - - return dataSetDescription, totals, lastStep - -# return {'total': numberOfTotalEvents, -# 'skimmed':numberOfEventsAfterAllFilters, -# 'electronSkimEfficiency':electronSkimEfficiency, -# 'afterSkimAndNoiseFilter':numberOfEventsAfterAllFilters, -# 'totalSkimEfficiency':TotalSkimEfficiency} - -def getSkimInfo(files): - skimHist = None - eventBranch = None - eventTree = None - n_skim = 0 - TfOpen = TFile.Open - gcd = gROOT.cd - - for file in files: - f = TfOpen(file) - gcd() - eventTree = f.Get(pathToEventTree) - if eventTree is None: - print 'Could not find tree', pathToEventTree, 'in file', file - else: - eventBranch = eventTree.GetBranch('Event.Number') - - if eventBranch is None: - print 'Could not find branch', pathToEventTree + '/Event.Number', 'in file', file - else: - n_skim += eventBranch.GetEntries() - - if skimHist is None: - skimHist = f.Get(pathToSkimHist) - if skimHist is None: - print 'Could not find histogram', pathToSkimHist, 'in file', file - continue - else: - hist = f.Get(pathToSkimHist) - if hist is None: - print 'Could not find histogram', pathToSkimHist, 'in file', file - continue - skimHist.Add(hist) - return (skimHist, n_skim) - - -def formatSkimEfficiencies(dataSetDescription, totals, lastStep): - print 'Local merged files:', dataSetDescription['path'] - print - print 'Total number of files:', int(dataSetDescription['numberOfFiles']) - print - print 'Process recognised:', dataSetDescription['process'] - print - print 'Total number of events:', int(dataSetDescription['numberOfEvents']) - print - print - print '| *Filter Name* | *# passing* | *efficiency(total) in %* | *efficiency(last step) in %* |' - print '| HBHENoiseFilter | ', dataSetDescription['HBHENoiseFilter'], '| ', totals['HBHENoiseFilter'], '| ', lastStep['HBHENoiseFilter'], '|' - print '| ScrapingVeto | ', dataSetDescription['ScrapingVeto'], '| ', totals['ScrapingVeto'], '| ', lastStep['ScrapingVeto'], '|' - print '| GoodPrimaryVertex | ', dataSetDescription['GoodPrimaryVertex'], '| ', totals['GoodPrimaryVertex'], '| ', lastStep['GoodPrimaryVertex'], '|' - print '| ElectronCuts | ', dataSetDescription['ElectronCuts'], '| ', totals['ElectronCuts'], '| ', lastStep['ElectronCuts'], '|' - print '| JetCuts | ', dataSetDescription['JetCuts'], '| ', totals['JetCuts'], '| ', lastStep['JetCuts'], '|' - print '| total | ', int(dataSetDescription['numberOfEventsAfterSkim']), '| ', - print dataSetDescription['totalSkimEfficiency'], '| --- |' - - - -if __name__ == "__main__": - args = sys.argv - if not len(args) == 2: - print "Please specify a folder to merge files in." - sys.exit() - - path = sys.argv[1] - files = getROOTFiles(path) - dataSetDescription, totals, lastStep = getSkimmedEvents(files) - dataSetDescription['numberOfFiles'] = len(files) - dataSetDescription['process'] = getProcess(files[0]) - dataSetDescription['path'] = path - formatSkimEfficiencies(dataSetDescription, totals, lastStep) - -# print '=' * 100 -# print '{0:70} : {1:15d}'.format('Total number of files', len(files)) -# print '{0:70} : {1:15s}'.format('Process recognised', getProcess(files[0])) -# print '{0:70} : {1:15d}'.format('Total number of events', int(events['total'])) -# print '{0:70} : {1:15d}'.format('Number of events after electron skim', int(events['skimmed'])) -# print '{0:70} : {1:15d}'.format('Number of events after electron skim and HBHE noise filter', events['afterSkimAndNoiseFilter']) -# print -# print '{0:70} : {1:15f}'.format('Electron skim efficiency', events['electronSkimEfficiency']) -# print '{0:70} : {1:15f}'.format('Total skim efficiency', events['totalSkimEfficiency']) -# print '=' * 100 diff --git a/scripts_old/getTriggerReport.py b/scripts_old/getTriggerReport.py deleted file mode 100644 index 8768edac..00000000 --- a/scripts_old/getTriggerReport.py +++ /dev/null @@ -1,130 +0,0 @@ -from __future__ import division -import sys -import glob - -def triggerInfo(trigger, logString): - logString = logString.replace('\n', '') - #remove empty entries - entries = [token for token in logString.split(' ') if not token == ''] - info = {} - info['name'] = entries[-1] - info['eventsTotal'] = entries[3] - info['eventsPassed'] = entries[4] - info['eventsFailed'] = entries[5] - info['efficiency'] = entries[4] / entries[3] - return info - -def readTriggerSummaryTable(filename): - lookForLine = 'TrigReport ---------- Path Summary ------------' - stopLookingLine = '\n' - - file = open(filename) - adding = False - triggerLog = [] - - for line in file.readlines(): - if lookForLine in line: - adding = True - - if adding == True and stopLookingLine == line: - break - - if adding: - triggerLog.append(line.replace('\n', '')) - file.close() - #remove the header of the table - triggerLog = triggerLog[2:] - - return triggerLog - -def trimmTriggerTable(triggerTable): - for index in range(len(triggerTable)): - row = triggerTable[index] - #remove first 3 columns: TrigReport Trig Bit# - row = row.replace('\n', '') - row = [token for token in row.split(' ') if not token == ''] - row = row[3:] - - columns = parseColumns(row) - - triggerTable[index] = columns - return triggerTable - -def parseColumns(row): - if len(row) < 5: - print "Unknown row, can't parse" - return {} - columns = {'total': int(row[0]), - 'passed': int(row[1]), - 'failed':int(row[2]), - 'errors':int(row[3]), - 'trigger':row[4]} - return columns - -def parseTriggerTable(triggerTable): - triggers = {} - for row in triggerTable: - triggerName = row['trigger'] - del row['trigger'] - triggers[triggerName] = row - return triggers - -def mergeParsedTriggerTables(triggerTable1, triggerTable2): - mergedTriggerTable = triggerTable1 - - for trigger, entries in triggerTable1.iteritems(): - if not triggerTable2.has_key(trigger): - print 'trying to merge two different triggertables!' - return - - for entry, value in entries.iteritems(): - mergedTriggerTable[trigger][entry] += triggerTable2[trigger][entry] - return mergedTriggerTable - - -def printParsedTriggerTable(triggerTable): - keys = triggerTable.keys() - keys.sort() - print 'Trigger', '\t\t', 'passed', '\t', 'failed'#, '\t\t', 'total' - for key in keys: - entries = triggerTable[key] - - - print key, '\t\t', entries['passed'], '\t', entries['failed']#, '\t\t', entries['total'] - -if __name__ == "__main__": - files = ['/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_1.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_2.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_3.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_4.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_5.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_6.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_7.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_8.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_9.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_10.log', - '/storage/workspaceTutorial/BristolAnalysisTools/scripts/test_run163374_11.log'] - - if len(sys.argv) > 1: - files = sys.argv[1:] - if len(files) == 1: - if '*' in files[0]: - files = glob.glob(files[0]) - triggerTables = [] - for file in files: - triggerTable = readTriggerSummaryTable(file) - triggerTable = trimmTriggerTable(triggerTable) - parsedT = parseTriggerTable(triggerTable) - triggerTables.append(parsedT) - - mergedTriggers = triggerTables[0] - - if len(triggerTables) > 1: - for triggerTable in triggerTables[1:]: - mergedTriggers = mergeParsedTriggerTables(mergedTriggers, triggerTable) - -# for trigger, entries in mergedTriggers.iteritems(): -# print trigger, '=', entries - - printParsedTriggerTable(mergedTriggers) - diff --git a/scripts_old/inputFiles.py b/scripts_old/inputFiles.py deleted file mode 100644 index 7e0a54e3..00000000 --- a/scripts_old/inputFiles.py +++ /dev/null @@ -1,64 +0,0 @@ -lumi = 10000 -folder = '/storage/TopQuarkGroup/results/histogramfiles/2012_v9a' -#folder = '/storage/results/histogramfiles/AN-12-241_V3/PU_down' -#folder = '/storage/results/histogramfiles/AN-12-241_V3/PU_up' -identifier = 'PFElectron_PFMuon_PF2PATJets_PFMET' -#identifier = 'PFElectron_PFMuon_PF2PATJets_PFMET_PU_64600mb' -#identifier = 'PFElectron_PFMuon_PF2PATJets_PFMET_PU_71400mb' - -files = { - 'SingleElectron':"%s/SingleElectron_%dpb_%s.root" % (folder, lumi, identifier), - 'SingleMu':"%s/SingleMu_%dpb_%s.root" % (folder, lumi, identifier), - 'TTJet' : "%s/TTJet_%dpb_%s.root" %(folder, lumi, identifier), - 'WJetsToLNu' : "%s/WJetsToLNu_%dpb_%s.root" %(folder, lumi, identifier), - 'W1Jet' : "%s/W1Jet_%dpb_%s.root" %(folder, lumi, identifier), - 'W2Jets' : "%s/W2Jets_%dpb_%s.root" %(folder, lumi, identifier), - 'W3Jets' : "%s/W3Jets_%dpb_%s.root" %(folder, lumi, identifier), - 'W4Jets' : "%s/W4Jets_%dpb_%s.root" %(folder, lumi, identifier), - 'DYJetsToLL' : "%s/DYJetsToLL_%dpb_%s.root" %(folder, lumi, identifier), - 'DY1JetsToLL' : "%s/DY1JetsToLL_%dpb_%s.root" %(folder, lumi, identifier), - 'DY2JetsToLL' : "%s/DY2JetsToLL_%dpb_%s.root" %(folder, lumi, identifier), - 'DY3JetsToLL' : "%s/DY3JetsToLL_%dpb_%s.root" %(folder, lumi, identifier), - 'DY4JetsToLL' : "%s/DY4JetsToLL_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_20_30_BCtoE' : "%s/QCD_Pt_20_30_BCtoE_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_30_80_BCtoE' : "%s/QCD_Pt_30_80_BCtoE_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_80_170_BCtoE' : "%s/QCD_Pt_80_170_BCtoE_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_170_250_BCtoE' : "%s/QCD_Pt_170_250_BCtoE_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_250_350_BCtoE' : "%s/QCD_Pt_250_350_BCtoE_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_350_BCtoE' : "%s/QCD_Pt_350_BCtoE_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_20_30_EMEnriched' : "%s/QCD_Pt_20_30_EMEnriched_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_30_80_EMEnriched' : "%s/QCD_Pt_30_80_EMEnriched_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_80_170_EMEnriched' : "%s/QCD_Pt_80_170_EMEnriched_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_170_250_EMEnriched' : "%s/QCD_Pt_170_250_EMEnriched_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_250_350_EMEnriched' : "%s/QCD_Pt_250_350_EMEnriched_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt_350_EMEnriched' : "%s/QCD_Pt_350_EMEnriched_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-20_MuEnrichedPt-15' : "%s/QCD_Pt_20_MuEnrichedPt_15_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-15to20_MuEnrichedPt5' : "%s/QCD_Pt-15to20_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-20to30_MuEnrichedPt5' : "%s/QCD_Pt-20to30_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-30to50_MuEnrichedPt5' : "%s/QCD_Pt-30to50_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-50to80_MuEnrichedPt5' : "%s/QCD_Pt-50to80_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-80to120_MuEnrichedPt5' : "%s/QCD_Pt-80to120_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-120to170_MuEnrichedPt5' : "%s/QCD_Pt-120to170_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-170to300_MuEnrichedPt5' : "%s/QCD_Pt-170to300_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-470to600_MuEnrichedPt5' : "%s/QCD_Pt-470to600_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-300to470_MuEnrichedPt5' : "%s/QCD_Pt-300to470_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), -# 'QCD_Pt-600to800_MuEnrichedPt5' : "%s/QCD_Pt-600to800_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-800to1000_MuEnrichedPt5' : "%s/QCD_Pt-800to1000_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), - 'QCD_Pt-1000_MuEnrichedPt5' : "%s/QCD_Pt-1000_MuEnrichedPt5_%dpb_%s.root" %(folder, lumi, identifier), -# 'pj1' : "%s/GJets_HT-40To100_%dpb_%s.root" %(folder, lumi, identifier), -# 'pj2' : "%s/GJets_HT-100To200_%dpb_%s.root" %(folder, lumi, identifier), -# 'pj3' : "%s/GJets_HT-200_%dpb_%s.root" %(folder, lumi, identifier), - 'GJets_HT-200To400' : "%s/GJets_HT-200To400_%dpb_%s.root" %(folder, lumi, identifier), - 'GJets_HT-400ToInf' : "%s/GJets_HT-400ToInf_%dpb_%s.root" %(folder, lumi, identifier), -# 'ww' : "%s/WWtoAnything_%dpb_%s.root" %(folder, lumi, identifier), -# 'wz' : "%s/WZtoAnything_%dpb_%s.root" %(folder, lumi, identifier), -# 'zz' : "%s/ZZtoAnything_%dpb_%s.root" %(folder, lumi, identifier), - 'T_tW-channel' : "%s/T_tW-channel_%dpb_%s.root" %(folder, lumi, identifier), - 'T_t-channel' : "%s/T_t-channel_%dpb_%s.root" %(folder, lumi, identifier), - 'T_s-channel' : "%s/T_s-channel_%dpb_%s.root" %(folder, lumi, identifier), - 'Tbar_tW-channel' : "%s/Tbar_tW-channel_%dpb_%s.root" %(folder, lumi, identifier), - 'Tbar_t-channel' : "%s/Tbar_t-channel_%dpb_%s.root" %(folder, lumi, identifier), - 'Tbar_s-channel' : "%s/Tbar_s-channel_%dpb_%s.root" %(folder, lumi, identifier), -# 'TTbarZIncl' : "%s/TTbarZIncl_%dpb_%s.root" %(folder, lumi, identifier), -# 'TTbarInclWIncl' : "%s/TTbarInclWIncl_%dpb_%s.root" %(folder, lumi, identifier), - } diff --git a/scripts_old/log.terr b/scripts_old/log.terr deleted file mode 100644 index df1802ed..00000000 --- a/scripts_old/log.terr +++ /dev/null @@ -1,28 +0,0 @@ -Method ':_getFiberPtrId ()' in assembly 'C:\windows\assembly\GAC_32\Microsoft.Xna.Framework\4.0.0.0__842cf8be1de50553\Microsoft.Xna.Framework.dll' contains native code that cannot be executed by Mono in modules loaded from byte arrays. The assembly was probably created using C++/CLI. - - -Unhandled Exception: System.TypeInitializationException: An exception was thrown by the type initializer for Terraria.Main ---> System.TypeInitializationException: An exception was thrown by the type initializer for ---> .ModuleLoadException: The C++ module failed to load. - ---> System.MissingMethodException: Method contains unsupported native code - at (wrapper managed-to-native) :_getFiberPtrId () - at ..LanguageSupport._Initialize (.LanguageSupport* ) [0x00000] in :0 - at ..LanguageSupport.Initialize (.LanguageSupport* ) [0x00000] in :0 - --- End of inner exception stack trace --- - at ..LanguageSupport.Initialize (.LanguageSupport* ) [0x00000] in :0 - at ..cctor () [0x00000] in :0 - --- End of inner exception stack trace --- - at Terraria.Main..cctor () [0x00000] in :0 - --- End of inner exception stack trace --- - at Terraria.Program.Main (System.String[] args) [0x00000] in :0 - -Unhandled Exception: System.TypeInitializationException: An exception was thrown by the type initializer for Terraria.Main ---> System.TypeInitializationException: An exception was thrown by the type initializer for ---> .ModuleLoadException: The C++ module failed to load. - ---> System.MissingMethodException: Method contains unsupported native code - at (wrapper managed-to-native) :_getFiberPtrId () - at ..LanguageSupport._Initialize (.LanguageSupport* ) [0x00000] in :0 - at ..LanguageSupport.Initialize (.LanguageSupport* ) [0x00000] in :0 - --- End of inner exception stack trace --- - at ..LanguageSupport.Initialize (.LanguageSupport* ) [0x00000] in :0 - at ..cctor () [0x00000] in :0 - --- End of inner exception stack trace --- - at Terraria.Main..cctor () [0x00000] in :0 - --- End of inner exception stack trace --- - at Terraria.Program.Main (System.String[] args) [0x00000] in :0 diff --git a/scripts_old/makeCutFlow.py b/scripts_old/makeCutFlow.py deleted file mode 100644 index 0b70701c..00000000 --- a/scripts_old/makeCutFlow.py +++ /dev/null @@ -1,193 +0,0 @@ -from multiprocessing import Process - -from ROOT import * - -def getHLTCut(): - hltTriggers = [ - #2010 data RunA + RunB - 'HLT_Ele10_LW_L1R', #0 - 'HLT_Ele15_SW_L1R', #1 - 'HLT_Ele15_SW_CaloEleId_L1R', #2 - 'HLT_Ele17_SW_CaloEleId_L1R', #3 - 'HLT_Ele17_SW_EleId_L1R', #4 - 'HLT_Ele17_SW_LooseEleId_L1R', #5 - 'HLT_Ele17_SW_TightEleIdIsol_L1R_v1', #6 - 'HLT_Ele17_SW_TightEleId_L1R', #7 - 'HLT_Ele17_SW_TighterEleIdIsol_L1R_v1', #8 - 'HLT_Ele17_SW_TighterEleId_L1R_v1', #9 - 'HLT_Ele22_SW_TighterEleId_L1R', #10 - 'HLT_Ele27_SW_TightCaloEleIdTrack_L1R_v1', #11 - #========== 2011 data ============== - #ElectronHad PD - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralJet40_BTagIP', #12 - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralJet30', #13 - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralDiJet30', #14 - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralTriJet30', #15 - #renaming for 1E33 - 'HLT_Ele25_CaloIdVT_TrkIdT_CentralJet30_BTagIP', #16 - 'HLT_Ele25_CaloIdVT_TrkIdT_DiCentralJet30', #17 - 'HLT_Ele25_CaloIdVT_TrkIdT_TriCentralJet30', #18 - 'HLT_Ele25_CaloIdVT_TrkIdT_QuadCentralJet30', #19 - #new iso triggers: - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralJet30_BTagIP',#20 - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralJet30', #21 - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_DiCentralJet30', #22 - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralJet30', #23 - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_QuadCentralJet30', #24 - #Higgs trigger - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralJet30_CentralJet25_PFMHT20', #25 - #EWK triggers - 'HLT_Ele25_WP80_PFMT40', #26 - 'HLT_Ele27_WP70_PFMT40_PFMHT20', #27 - - - #SingleElectron PD - 'HLT_Ele27_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT', #28 - 'HLT_Ele25_CaloIdL_CaloIsoVL_TrkIdVL_TrkIsoVL', #29 - 'HLT_Ele32_CaloIdVL_CaloIsoVL_TrkIdVL_TrkIsoVL', #30 - 'HLT_Ele32_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT', #31 - ] - - result = "Trigger.HLTResults[%d] > 0" % hltTriggers.index('HLT_Ele25_CaloIdVT_TrkIdT_CentralTriJet30') - HLT_Ele25_CaloIdVT_TrkIdT_CentralTriJet30 = "((Event.Run >= 160404 && Event.Run <= 163869) && " + result + ')' - - result = "Trigger.HLTResults[%d] > 0" % hltTriggers.index('HLT_Ele25_CaloIdVT_TrkIdT_TriCentralJet30') - HLT_Ele25_CaloIdVT_TrkIdT_TriCentralJet30 = "((Event.Run > 163869 && Event.Run <= 165633) && " + result + ')' - - result = "Trigger.HLTResults[%d] > 0" % hltTriggers.index('HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralJet30') - HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralJet30 = "((Event.Run > 165633) && " + result + ')' - hltCut = TCut(HLT_Ele25_CaloIdVT_TrkIdT_CentralTriJet30 + '||' + HLT_Ele25_CaloIdVT_TrkIdT_TriCentralJet30 + '||' + HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralJet30) - return hltCut - -def getElectronCut(): - electronPt = TCut("selectedPatElectronsLoosePFlow.Pt > 30") - electronIsoCut = TCut("((selectedPatElectronsLoosePFlow.PFGammaIso + selectedPatElectronsLoosePFlow.PfChargedHadronIso + selectedPatElectronsLoosePFlow.PfNeutralHadronIso)/selectedPatElectronsLoosePFlow.Pt) > 0.1") - electronID = TCut("selectedPatElectronsLoosePFlow.PassID >= 32") - electronD0 = TCut("fabs(selectedPatElectronsLoosePFlow.dB) < 0.02") - electronZDistance = TCut("fabs(selectedPatElectronsLoosePFlow.VtxDistZ) < 1") - electronEta = TCut("fabs(selectedPatElectronsLoosePFlow.Eta) < 2.5") - electronNotInCrack = TCut("(( fabs(selectedPatElectronsLoosePFlow.SCEta) < 1.4442) || ( fabs(selectedPatElectronsLoosePFlow.SCEta) > 1.5660)") - goodPFIsoElectronCut = TCut(electronPt) - goodPFIsoElectronCut += electronIsoCut - goodPFIsoElectronCut += electronID - goodPFIsoElectronCut += electronD0 - goodPFIsoElectronCut += electronZDistance - goodPFIsoElectronCut += electronEta - - - onlyOnegoodPFIsoElectronCut = TCut("Sum$(%s) == 1" % goodPFIsoElectronCut.GetTitle()) - return onlyOnegoodPFIsoElectronCut - - -def getLooseMuonVeto(): - muonPt = TCut("selectedPatMuonsLoosePFlow.Pt > 10") - muonPt = TCut("selectedPatMuonsLoosePFlow.Pt > 10") - muonPt = TCut("selectedPatMuonsLoosePFlow.Pt > 10") -def enableVariables(chain): - setStatus = chain.SetBranchStatus - setStatus("*", 0); - setStatus("Event.Run", 1); - setStatus("Event.Number", 1); - setStatus("Event.LumiSection", 1) - setStatus("Trigger.HLTResults", 1) - setStatus("selectedPatElectronsLoosePFlow.Pt", 1) - setStatus("selectedPatElectronsLoosePFlow.PFGammaIso", 1) - setStatus("selectedPatElectronsLoosePFlow.PfChargedHadronIso", 1) - setStatus("selectedPatElectronsLoosePFlow.PfNeutralHadronIso", 1) - setStatus("selectedPatElectronsLoosePFlow.PassID", 1) - setStatus("selectedPatElectronsLoosePFlow.dB", 1) - setStatus("selectedPatElectronsLoosePFlow.VtxDistZ", 1) - setStatus("selectedPatElectronsLoosePFlow.Eta", 1) - setStatus("selectedPatElectronsLoosePFlow.SCEta", 1) - - - -def getCutResult(chain, cut): - nEvents = chain.Draw("Event.Run", cut) - return nEvents - -def getCutFlow(chain): - cutflow = [] - hltCut = getHLTCut() - electronCut = getElectronCut() - upToElectronCut = TCut(hltCut) - upToElectronCut+= electronCut - hltResult = getCutResult(chain, hltCut) - onlyOneGoodElectron = getCutResult(chain, hltCut + electronCut) - cutflow.append( ('HLT',hltResult)) - cutflow.append( ('== 1 isolated good electron',onlyOneGoodElectron)) - return cutflow - -def getCutFlowMulti(listOfChains): - jobs = [] - for chain in listOfChains: - p = Process(target = getCutFlow, args = (chain,)) - jobs.append(p) - p.start() - - result = 0 - for job in jobs: - job.join() -# pool = Pool(processes=2) # start n worker processes -# results = [pool.apply_async(getCutFlow, [chain]) for chain in lis] -# result = sum(pool.map(getCutFlow, listOfChains)) - return result - -if __name__ == '__main__': - chain = TChain("rootTupleTree/tree") -# chain1 = TChain("rootTupleTree/tree") -# chain2 = TChain("rootTupleTree/tree") -# chain3 = TChain("rootTupleTree/tree") -# chain4 = TChain("rootTupleTree/tree") -# chain5 = TChain("rootTupleTree/tree") -# chain6 = TChain("rootTupleTree/tree") - -# chain1.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-May10ReReco_GoldenJSON/db3f92ba514324d173b9a1664acdc31b/*.root");#203.815529928 pb-1 -# chain1.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_exclRereco/db3f92ba514324d173b9a1664acdc31b/*.root");#294.450534905 pb-1 -# -# chain2.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_24.06.11-01.07.11/4ee1203e97f9a00957561f563636708a/*.root");#94 pb-1 -# chain2.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_10.06.11-17.06.11/c43a0fd1e74060a8f9608df5f5bafba0/*.root");#216.429549292 pb-1 -# chain2.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_01.07.11-06.07.11/4ee1203e97f9a00957561f563636708a/*.root");#115 pb-1 -# chain4.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_17.06.11-24.06.11/4ee1203e97f9a00957561f563636708a/*.root");#166 pb-1 - - -# chain.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-May10ReReco_GoldenJSON/db3f92ba514324d173b9a1664acdc31b/*.root");#203.815529928 pb-1 -# chain.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_exclRereco/db3f92ba514324d173b9a1664acdc31b/*.root");#294.450534905 pb-1 -# chain.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_10.06.11-17.06.11/c43a0fd1e74060a8f9608df5f5bafba0/*.root");#216.429549292 pb-1 -# chain.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_17.06.11-24.06.11/4ee1203e97f9a00957561f563636708a/*.root");#166 pb-1 -# chain.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_24.06.11-01.07.11/4ee1203e97f9a00957561f563636708a/*.root");#94 pb-1 -# chain.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_01.07.11-06.07.11/4ee1203e97f9a00957561f563636708a/*.root");#115 pb-1 - - #test file - chain.Add("/storage/TopQuarkGroup/data/ElectronHad/nTuple_v2b_Run2011-PromptReco_GoldenJSON_01.07.11-06.07.11/4ee1203e97f9a00957561f563636708a/ElectronHad_nTuple_42x_data_1_1_lNO.root");#115 pb-1 - - gROOT.ProcessLine("gErrorIgnoreLevel = 3001;"); - gROOT.SetBatch(True) - - - - - - watch = TStopwatch() - watch.Start() - cutflow = getCutFlow(chain) - watch.Stop() - watch.Print() - - for name, value in cutflow: - print name, ' ', value - -# watch.Reset() -# watch.Start() -# print getCutFlowMulti([chain1, chain2]) -# watch.Stop() -# watch.Print() - -#print HLT_Ele25_CaloIdVT_TrkIdT_CentralTriJet30 -#print HLT_Ele25_CaloIdVT_TrkIdT_TriCentralJet30 -#print HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralJet30 -#print -#print hltCut.GetTitle() - - - \ No newline at end of file diff --git a/scripts_old/makeHLTPlots.py b/scripts_old/makeHLTPlots.py deleted file mode 100644 index c9058c5d..00000000 --- a/scripts_old/makeHLTPlots.py +++ /dev/null @@ -1,157 +0,0 @@ -from ROOT import * -import HistGetter -import HistPlotter -import inputFiles - -outputFormats = ['png', 'pdf'] -outputFolder = '/storage/results/plots/ElectronHad/' -saveAs = HistPlotter.saveAs - -triggers = [ -# 'HLT_Ele25_CaloIdVT_TrkIdT_CentralJet30', -# 'HLT_Ele25_CaloIdVT_TrkIdT_DiCentralJet30', - 'HLT_Ele25_CaloIdVT_TrkIdT_TriCentralJet30', -# 'HLT_Ele25_CaloIdVT_TrkIdT_QuadCentralJet30', -# 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralJet30', -# 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_DiCentralJet30', - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralJet30', -# 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralPFJet30', -# 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_QuadCentralJet30' - ] - -triggerVariables = ['jet_pt', - 'jet_eta', - 'jet_phi', - 'jet_eta_PtGT45', - 'jet_phi_PtGT45'] -triggerModifiers = ['visited', 'fired'] - -def makeHLTPlots(hists, rebin=1): - print 'Making HLT plots' - data = hists['data'] - ttbar = hists['ttbar'] - - plots = ['HLTStudy/' + trigger + '/' + variable for trigger in triggers for variable in triggerVariables] - efficiency = {} - mc_efficiency = {} - - for jetbin in HistPlotter.allJetBins: - for plot in plots: #make all plots - if 'Quad' in plot and not '4' in jetbin:#only >=4 jet bin for QuadJet trigger - continue - - elif 'Tri' in plot and ((not '3' in jetbin and not '4' in jetbin) or '3orMoreJets' in jetbin): - #only ==3, >=4 jet bins for TriJet trigger - continue - elif 'Di' in plot and not '2' in jetbin: - continue - - print plot + '_' + jetbin - - fired = data[plot + '_' + 'fired_' + jetbin] - visited = data[plot + '_' + 'visited_' + jetbin] - mc_fired = ttbar[plot + '_' + 'fired_' + jetbin] - mc_visited = ttbar[plot + '_' + 'visited_' + jetbin] - # calculate the sum of weights for correct error calculation - #http://root.cern.ch/root/html/TH1.html#TH1:Sumw2 - fired.Sumw2() - visited.Sumw2() - mc_fired.Sumw2() - mc_visited.Sumw2() - - xlimits, xTitle, yTitle, fitfunction, fitRange = getParams(plot, rebin) - - fired.GetXaxis().SetRangeUser(xlimits[0], xlimits[1]) - visited.GetXaxis().SetRangeUser(xlimits[0], xlimits[1]) - mc_fired.GetXaxis().SetRangeUser(xlimits[0], xlimits[1]) - mc_visited.GetXaxis().SetRangeUser(xlimits[0], xlimits[1]) - - fired.Rebin(rebin) - visited.Rebin(rebin) - mc_fired.Rebin(rebin) - mc_visited.Rebin(rebin) - - efficiency[plot + jetbin] = TEfficiency(fired, visited) - mc_efficiency[plot + jetbin] = TEfficiency(mc_fired, mc_visited) - eff = efficiency[plot + jetbin].Clone("Copy") - mceff = mc_efficiency[plot + jetbin].Clone("CopyMC") - setStyles(eff, mceff) - - saveName = plot + '_' + 'efficiency' - saveName = saveName.replace('Jet30/', 'Jet30_') - - legend = getLegend(eff, mceff) - caption = getCaption() - - c = TCanvas("cname" + plot + jetbin, 'cname', 900, 900) - eff.Draw('P0') - mceff.Draw('SAMEP0') - legend.Draw('same') - caption.Draw('same') - saveAs(c, saveName + '_' + jetbin, outputFolder = outputFolder) - -def getParams(plot, rebin): - xlimits = [10,200] - xTitle = 'jet p_{T} (GeV)' - yTitle = 'efficiency/(GeV)' - fitfunction = '' - fitRange = [-9999, 9999] - if 'jet_pt' in plot: - xlimits = [10,200] - xTitle = 'jet p_{T} (GeV)' - yTitle = 'efficiency/(%d GeV)' % (1*rebin) - fitfunction = "[0]*exp([1]*exp([2]*x))" - fitRange = [20,200] - elif 'jet_eta' in plot: - xlimits = [-3,3] - xTitle = 'jet #eta (GeV)' - yTitle = 'efficiency/(%0.1f)' % (0.1*rebin) - fitfunction = 'pol2' - fitRange = [-3,3] - elif 'jet_phi' in plot: - xlimits = [-4.,4.] - xTitle = 'jet #phi (GeV)' - yTitle = 'efficiency/(%0.1f)' % (0.1*rebin) - fitfunction = 'pol0' - fitRange = [-3.1,3.1] - return xlimits, xTitle, yTitle, fitfunction, fitRange - -def setStyles(dataPlot, mcPlot): - mcPlot.SetLineColor(2) - mcPlot.SetMarkerColor(2) - mcPlot.SetMarkerStyle(22) - -def getLegend(dataPlot, mcPlot): - leg = TLegend(0.7, 0.2, 0.8, 0.3) - leg.SetBorderSize(0); - leg.SetLineStyle(0); - leg.SetTextFont(42); - leg.SetFillStyle(0); - leg.AddEntry(dataPlot, 'data', 'P') - leg.AddEntry(mcPlot, 'MC', 'P') - return leg - -def getCaption(): - tex = TLatex(0.18,1,"CMS Preliminary 2011, #sqrt{s} = 7 TeV, L = 4.69 fb^{-1}"); - tex.SetNDC(); - tex.SetTextAlign(13); - tex.SetTextFont(42); - tex.SetTextSize(0.04); - tex.SetLineWidth(2); - return tex - -if __name__ == '__main__': - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - - files = inputFiles.files - - hltFiles = {} - - hltFiles['data'] = inputFiles.files['data'] - hltFiles['ttbar'] = inputFiles.files['ttbar'] - - triggerPlots = ['HLTStudy/' + trigger + '/' + variable + '_' + modifier for trigger in triggers for variable in triggerVariables for modifier in triggerModifiers] - HistPlotter.setStyle() - hists = HistGetter.getHistsFromFiles(triggerPlots, hltFiles, jetBins=HistPlotter.allJetBins) - makeHLTPlots(hists) diff --git a/scripts_old/makePlots.py b/scripts_old/makePlots.py deleted file mode 100644 index 64eca1ef..00000000 --- a/scripts_old/makePlots.py +++ /dev/null @@ -1,810 +0,0 @@ -from __future__ import division -from ROOT import * -import HistGetter -import HistPlotter -from time import sleep -from math import isnan -from copy import deepcopy - -import inputFiles -import QCDEstimation -outputFormats = [ - 'png', - 'pdf' - ] -outputFolder = '/storage/results/plots/ElectronHad/' -saveAs = HistPlotter.saveAs -triggers = [ -# 'HLT_Ele25_CaloIdVT_TrkIdT_CentralJet30', -# 'HLT_Ele25_CaloIdVT_TrkIdT_DiCentralJet30', - 'HLT_Ele25_CaloIdVT_TrkIdT_TriCentralJet30', -# 'HLT_Ele25_CaloIdVT_TrkIdT_QuadCentralJet30', -# 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_CentralJet30', -# 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_DiCentralJet30', - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralJet30', - 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_TriCentralPFJet30', -# 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_QuadCentralPFJet30', -# 'HLT_Ele25_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_QuadCentralJet30' - ] - -triggerVariables = ['jet_pt', - 'jet_eta', - 'jet_phi', - 'jet_eta_PtGT30', - 'jet_phi_PtGT30', - 'jet_eta_PtGT35', - 'jet_phi_PtGT35', - 'jet_eta_PtGT40', - 'jet_phi_PtGT40', - 'jet_eta_PtGT45', - 'jet_phi_PtGT45'] -triggerModifiers = ['visited', 'fired'] - -def plotControlRegion(hists): - conversions = 'TTbarPlusMetAnalysis/EPlusJets/QCDConversions/Electron/electron_AbsEta_0btag' - leg = TLegend(0.2, 0.6, 0.5, 0.92); - leg.SetBorderSize(0); - leg.SetLineStyle(0); - leg.SetTextFont(42); - leg.SetFillStyle(0); - for sample in hists.keys(): - hists[sample][conversions].Sumw2() - - data = hists['ElectronHad'][conversions] - QCD = hists['bce1'][conversions] + hists['bce2'][conversions] + hists['bce3'][conversions] - QCD += hists['enri1'][conversions] + hists['enri2'][conversions] + hists['enri3'][conversions] - QCD += hists['pj1'][conversions] + hists['pj2'][conversions] + hists['pj3'][conversions] - otherMC = hists['W1Jet'][conversions] + hists['W2Jets'][conversions] + hists['W3Jets'][conversions] + hists['W4Jets'][conversions] - otherMC += hists['zjets'][conversions] + hists['ww'][conversions] + hists['wz'][conversions] + hists['zz'][conversions] - otherMC += hists['T_TuneZ2_tW-channel'][conversions] + hists['T_TuneZ2_t-channel'][conversions] + hists['T_TuneZ2_s-channel'][conversions] - otherMC += hists['Tbar_TuneZ2_tW-channel'][conversions] + hists['Tbar_TuneZ2_t-channel'][conversions] + hists['Tbar_TuneZ2_s-channel'][conversions] - otherMC += hists['ttbar'][conversions] - data.SetMarkerStyle(8); - QCD.SetFillColor(kYellow) - otherMC.SetFillColor(kRed + 1) - - qcdErrors = QCD.Clone() - - qcdErrors.SetFillColor(kGray + 3) - qcdErrors.SetMarkerStyle(0) - qcdErrors.SetFillStyle(3001); - mytext = TPaveText(0.5, 0.97, 1, 1.01, "NDC") - channelLabel = TPaveText(0.2, 0.97, 0.5, 1.01, "NDC") - channelLabel.AddText("e, #geq 4 jets, 0 b-tag") - mytext.AddText("CMS Preliminary, L = %.1f fb^{-1} at #sqrt{s} = 7 TeV" % (5.1)); - - mytext.SetFillStyle(0) - mytext.SetBorderSize(0) - mytext.SetTextFont(42) - mytext.SetTextAlign(13) - - channelLabel.SetFillStyle(0) - channelLabel.SetBorderSize(0) - channelLabel.SetTextFont(42) - channelLabel.SetTextAlign(13) - - leg.AddEntry(data, 'data', 'f') - leg.AddEntry(QCD, 'QCD MC', 'f') - leg.AddEntry(otherMC, 'other MC', 'f') - leg.AddEntry(qcdErrors, 'QCD uncertainty (stat.)', 'f') - mcStack = THStack("MC", "MC") - mcStack.Add(QCD) - mcStack.Add(otherMC) - - data.SetMaximum(mcStack.GetMaximum()*1.4) - c = TCanvas("test", 'test', 1600, 1200) - - data.Draw('error') - mcStack.Draw('hist same') - gStyle.SetErrorX(0.5); - qcdErrors.Draw('E2 same') - data.Draw('error same') - leg.Draw() - mytext.Draw() - channelLabel.Draw() - saveAs(c, 'QCD_ConversionControlRegion_0btag', outputFormats) - -def compareQCDControlRegionsInData(hists, bJetBins): - dataHists = hists['ElectronHad'] -# saveAs = HistPlotter.saveAs - - leg = TLegend(0.696, 0.6, 0.94, 0.92); - leg.SetBorderSize(0); - leg.SetLineStyle(0); - leg.SetTextFont(42); - leg.SetFillStyle(0); - - AddLegendEntry = leg.AddEntry - alreadyAdded = False - var = 'electron_eta' - bin = '0btag' - normConv = dataHists['TTbarPlusMetAnalysis/EPlusJets/QCDConversions/Electron/electron_AbsEta_' + bin] - normAnti = dataHists['TTbarPlusMetAnalysis/EPlusJets/QCD non iso e+jets/Electron/electron_AbsEta_' + bin] - -# normConv.SetYTitle("normalised to unit area/(5 GeV)"); - normConv.SetYTitle("normalised to unit area/(0.2 GeV)"); -# normConv.SetYTitle("normalised to unit area/0.05"); - - normConv.Sumw2() -# normContr.Sumw2() - normAnti.Sumw2() - - - normConv = HistPlotter.normalise(normConv) -# normContr = HistPlotter.normalise(normContr) - normAnti = HistPlotter.normalise(normAnti) - - diff = normConv.Clone() - diff.Divide(normAnti) -# line = TLine(0, 1, 500, 1) - line = TLine(-3, 1, 3, 1) - line.SetLineColor(1) - line.SetLineWidth(4) - - - c = TCanvas("cname", 'cname', 1200, 900) - diff.SetYTitle("conversions/non-iso electrons /0.2GeV"); -# diff.SetYTitle("iso/non-iso trigger /0.05"); - diff.GetXaxis().SetRangeUser(-3, 3); -# diff.GetXaxis().SetRangeUser(0, 2); - diff.Draw('error') - line.Draw('same') - saveAs(c, 'shapeRatio_conversions_NonIsolatedElectrons_electron_eta' + '_' + bin , outputFormats) -# saveAs(c, 'shapeRatio_'+ var +'_NonIsolatedTriggers' + '_' + bin , outputFormats) - del c - - c = TCanvas("cname3", 'cname3', 1200, 900) - - normConv.SetFillColor(kYellow) - normConv.SetFillStyle(1001) - -# normContr.SetFillColor(kAzure - 2) -# normContr.SetFillStyle(3005) - - normAnti.SetFillColor(kRed + 1) - normAnti.SetFillStyle(3004) - normConv.GetYaxis().SetRangeUser(0, 0.2); - normConv.GetXaxis().SetRangeUser(-3, 3); -# normConv.GetXaxis().SetRangeUser(0, 2); - normConv.Draw('hist') -# normContr.Draw('hist same') - normAnti.Draw('hist same') - - if not alreadyAdded: - AddLegendEntry(normConv, "conversions", "f"); -# AddLegendEntry(normConv, "iso e+jets", "f"); -# AddLegendEntry(normContr, "fake electrons", "f"); -# AddLegendEntry(normAnti, "non isolated electrons", "f"); - AddLegendEntry(normAnti, "non iso e+jets", "f"); - alreadyAdded = True - - leg.Draw() - saveAs(c, 'shape_comparison_'+ var + '_NonIso_' + bin , outputFormats) - del c - - del leg - -def plotControlRegionComparision(normConv, normContr, normAnti): - pass - -def plotQCDEstimationFits(allHists, bJetBins): -# saveAs = HistPlotter.saveAs - - leg = TLegend(0.696, 0.35, 0.94, 0.92); - leg.SetBorderSize(0); - leg.SetLineStyle(0); - leg.SetTextFont(42); - leg.SetFillStyle(0); - - AddLegendEntry = leg.AddEntry - alreadyAdded = False - for bin in bJetBins: - histname = 'QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_' + bin - data = allHists['data'][histname] - allMC = allHists['allMC'][histname] - -def plotTopReconstruction(files): - pass - -def plotMttbar(): - pass - -def getControlRegionsFor(hist): - pass - -def plotHLTStudy(hists, suffix = '', rebin = 1): - data = hists['data'] - ttbar = hists['ttbar'] - - #create a dictionary for each sample - # dic[trigger] = {'fitfunction':'', 'parameters':[(param, error), ...], 'sfFunction':'', sfParams} - - plots = ['HLTStudy/' + trigger + '/' + variable for trigger in triggers for variable in triggerVariables] -# saveAs = HistPlotter.saveAs - efficiency = {} - mc_efficiency = {} - infos = {} - mcInfos = {} - gStyle.SetOptFit( 112 ); - for jetbin in HistPlotter.allJetBins: - for plot in plots: - if 'Quad' in plot: - if not '4' in jetbin: - continue - - elif 'Tri' in plot: - if not '3jets' in jetbin and not '4' in jetbin: - continue - elif 'Di' in plot: - if not '2jet' in jetbin: - continue - else: - if not '1jet' in jetbin: - continue - print plot + '_' + jetbin - fired = data[plot + '_' + 'fired_' + jetbin] - visited = data[plot + '_' + 'visited_' + jetbin] - mc_fired = ttbar[plot + '_' + 'fired_' + jetbin] - mc_visited = ttbar[plot + '_' + 'visited_' + jetbin] - - fired.Sumw2() - visited.Sumw2() - mc_fired.Sumw2() - mc_visited.Sumw2() - - if not infos.has_key(plot + '_' + jetbin): - infos[plot + '_' + jetbin] = {} - mcInfos[plot + '_' + jetbin] = {} -# print fired.GetNbinsX() -# print visited.GetNbinsX() -# print mc_fired.GetNbinsX() -# print mc_visited.GetNbinsX() -# -# print fired.GetNbinsX() -# print visited.GetNbinsX() -# print mc_fired.GetNbinsX() -# print mc_visited.GetNbinsX() - - xlimits = [10,200] - xTitle = 'jet p_{T} (GeV)' - yTitle = 'efficiency/(GeV)' - fitfunction = '' - decimals = 2 - variable = 'p_{T}' - if 'jet_pt' in plot: - xlimits = [10,200] - xTitle = 'jet p_{T} (GeV)' - yTitle = 'efficiency/(%d GeV)' % (1*rebin) - fitfunction = "[0]*exp([1]*exp([2]*x))" - scaleFactorFitFunction = "[0]*exp([1]*exp([2]*x))" -# scaleFactorFitFunction = "[0]*exp([1]*exp([2]*x) - [3]*exp([4]*x))" - fitRange = [20,200] - variable = 'p_{T}' - elif 'jet_eta' in plot: - xlimits = [-3,3] - xTitle = 'jet #eta (GeV)' - yTitle = 'efficiency/(%0.1f)' % (0.1*rebin) - fitfunction = '[0]*x*x + [1]*x + [2]' - scaleFactorFitFunction = fitfunction - fitRange = [-3,3] - variable = '#eta' - elif 'jet_phi' in plot: - xlimits = [-4.,4.] - xTitle = 'jet #phi (GeV)' - yTitle = 'efficiency/(%0.1f)' % (0.1*rebin) - fitfunction = '[0]' - decimals = 4 - scaleFactorFitFunction = fitfunction - fitRange = [-3.1,3.1] - variable = '#phi' - - fired.GetXaxis().SetRangeUser(xlimits[0], xlimits[1]) - visited.GetXaxis().SetRangeUser(xlimits[0], xlimits[1]) - mc_fired.GetXaxis().SetRangeUser(xlimits[0], xlimits[1]) - mc_visited.GetXaxis().SetRangeUser(xlimits[0], xlimits[1]) - - fired.Rebin(rebin) - visited.Rebin(rebin) - mc_fired.Rebin(rebin) - mc_visited.Rebin(rebin) - -# print fired.GetNbinsX() -# print visited.GetNbinsX() -# print mc_fired.GetNbinsX() -# print mc_visited.GetNbinsX() - efficiency[plot + jetbin] = TEfficiency(fired, visited) - mc_efficiency[plot + jetbin] = TEfficiency(mc_fired, mc_visited) - eff = efficiency[plot + jetbin].Clone("Copy") - mceff = mc_efficiency[plot + jetbin].Clone("CopyMC") -# efficiency.Rebin(rebin) -# mc_efficiency.Rebin(rebin) - f1= TF1("f1",fitfunction,fitRange[0],fitRange[1]); - f2= TF1("f2",fitfunction,fitRange[0],fitRange[1]); - f3= TF1("f3",scaleFactorFitFunction,fitRange[0],fitRange[1]); - - if 'jet_pt' in plot: - f1.SetParLimits(0,0.8,1.0); - f1.SetParLimits(1,-100,-1); - f1.SetParLimits(2,-1,-0.01); - - f2.SetParLimits(0,0.8,1.0); - f2.SetParLimits(1,-100,-1); - f2.SetParLimits(2,-1,-0.01); - - f3.SetParLimits(2,-1,-0.01); - - if "_CentralJet" in plot: - f1.SetParLimits(0,0,1.0); - f2.SetParLimits(0,0,1.0); - - if 'jet_eta' in plot: - f1.SetParLimits(0,-0.2,0.0); - f1.SetParLimits(1,-1,-1); - f1.SetParLimits(2, 0.2,1.1); - - f2.SetParLimits(0,-0.2,0.0); - f2.SetParLimits(1,-1,-1); - f2.SetParLimits(2, 0.2,1.1); - - f1.SetLineWidth(2); - f1.SetLineColor(1); - f2.SetLineWidth(2); - f2.SetLineColor(2); - f3.SetLineWidth(2); - f3.SetLineColor(2); - - efficiency[plot + jetbin].Fit(f1); - mc_efficiency[plot + jetbin].Fit(f2); - axis = mceff.GetTotalHistogram().GetXaxis() - - scaleFactor = TH1F(fired.Clone("MCfired")) - scaleFactor.Multiply(mc_visited) - scaleFactor.Divide(visited) - scaleFactor.Divide(mc_fired) - - mceff.SetLineColor(2) - mceff.SetMarkerColor(2) - mceff.SetMarkerStyle(22) -# mceff.SetMarkerSize(2) -# eff.SetMarkerSize(2) - mceff.SetLineWidth(3) - eff.SetLineWidth(3) - - saveName = plot + '_' + 'efficiency' - if not suffix == '': - saveName += '_' + suffix - saveName = saveName.replace('Jet30/', 'Jet30_') - -# c = TCanvas("cname" + plot + jetbin, 'cname', 900, 900) - c = TCanvas("cname" + plot + jetbin, 'cname', 1080, 1080) - -# pad1 = TPad("pad1", "The pad with the function",0.03,0.2,0.98,0.98); -# pad2 = TPad("pad2","The pad with the histogram",0.03,0.02,0.98,0.19); - pad1 = TPad("pad1", "The pad with the function",0.0,0.2,1.0,1.0); - pad2 = TPad("pad2","The pad with the histogram",0.0,0.0,1.0,0.2); - pad1.Draw() - pad2.Draw() - - pad1.cd() - - - hFrame = (pad1.cd()).DrawFrame(xlimits[0],-.1,xlimits[1],1.1) - hFrame.GetXaxis().SetTitle(xTitle) - hFrame.GetYaxis().SetTitle(yTitle) - hFrame.Draw() - upper = TLine(xlimits[0],1.,xlimits[1],1.) - lower = TLine(xlimits[0],0.,xlimits[1],0.) - cut = TLine(30., 0., 30., 1.) - cut.SetLineColor(1) - upper.SetLineColor(4) - lower.SetLineColor(4) - upper.DrawLine(xlimits[0],1.,xlimits[1],1.) ; - lower.DrawLine(xlimits[0],0.,xlimits[1],0.) ; - cut.DrawLine(30., 0., 30., 1.) - - - eff.Draw('SAMEP0') - mceff.Draw('SAMEP0') -# leg.Draw('same') - f1.DrawCopy('same') - f2.DrawCopy('same') -# - tex = TLatex(0.18,1,"CMS Preliminary 2011, #sqrt{s} = 7 TeV, L = 4.69 fb^{-1}"); - tex.SetNDC(); - tex.SetTextAlign(13); - tex.SetTextFont(42); - tex.SetTextSize(0.04); - tex.SetLineWidth(2); - tex.Draw(); - - #f1.GetFunction? If yes, color-code the functions - strFit = fitfunction - strFit = strFit.replace('x*x', 'x^{2}') - strFit = strFit.replace('[0]', str(round(f1.GetParameter(0), decimals))) - strFit = strFit.replace('[1]', str(round(f1.GetParameter(1), decimals))) - strFit = strFit.replace('[2]', str(round(f1.GetParameter(2), decimals))) - strFit = strFit.replace('+ -', '-') - strFit = strFit.replace('- -', '+') - strFit = '#epsilon(' + variable + ') = ' + strFit - fitData = strFit - - strFit = fitfunction - strFit = strFit.replace('x*x', 'x^{2}') - strFit = strFit.replace('[0]', str(round(f2.GetParameter(0), decimals))) - strFit = strFit.replace('[1]', str(round(f2.GetParameter(1), decimals))) - strFit = strFit.replace('[2]', str(round(f2.GetParameter(2), decimals))) - strFit = strFit.replace('+ -', '-') - strFit = strFit.replace('- -', '+') - strFit = '#epsilon(' + variable + ') = ' + strFit - fitMC = strFit - - tex2 = TLatex(0.18,0.28,fitData); - tex2.SetNDC(); - tex2.SetTextAlign(13); - tex2.SetTextFont(42); - tex2.SetTextSize(0.06); - tex2.SetLineWidth(2); - tex2.Draw(); - - tex3 = TLatex(0.18,0.2,fitMC); - tex3.SetNDC(); - tex3.SetTextAlign(13); - tex3.SetTextFont(42); - tex3.SetTextSize(0.06); - tex3.SetLineWidth(2); - tex3.SetTextColor(2) - tex3.Draw(); - - leg = TLegend(0.4, 0.4, 0.6, 0.6) - leg.SetBorderSize(0); - leg.SetLineStyle(0); - leg.SetTextFont(42); -# leg.SetTextSize(0.08) - leg.SetFillStyle(0); - leg.AddEntry(eff, 'data', 'P') - leg.AddEntry(mceff, 'MC', 'P') - leg.Draw('same') - - pad2.cd() - hFrame = (pad2.cd()).DrawFrame(xlimits[0],0,xlimits[1],2) - hFrame.GetXaxis().SetTitle(xTitle) - yTitle = yTitle.replace('efficiency', 'scale factor') - hFrame.GetYaxis().SetTitle(yTitle) - hFrame.Draw() - upper = TLine(xlimits[0],1.,xlimits[1],1.) -# lower = TLine(xlimits[0],0.,xlimits[1],0.) - cut = TLine(30., 0., 30., 2.) - cut.SetLineColor(1) - upper.SetLineColor(1) - lower.SetLineColor(4) - upper.DrawLine(xlimits[0],1.,xlimits[1],1.) ; -# lower.DrawLine(xlimits[0],0.,xlimits[1],0.) ; - cut.DrawLine(30., 0., 30., 2.) - - #replace this fit with results from the data and MC fit -# sfitfunction = f1/f2 - #scaleFactor.Fit(f3) - scaleFactor.Fit(f3) -# print 'here', f3.GetParameter(0), f3.GetParameter(1), f3.GetParameter(2) - scaleFactor.GetYaxis().SetRangeUser(0., 3.); - scaleFactor.SetLineColor(4) - scaleFactor.SetMarkerColor(4) - scaleFactor.Draw('SAMEP0') - strFit = scaleFactorFitFunction - strFit = strFit.replace('x*x', 'x^{2}') - strFit = strFit.replace('[0]', str(round(f3.GetParameter(0), decimals))) - strFit = strFit.replace('[1]', str(round(f3.GetParameter(1), decimals))) - strFit = strFit.replace('[2]', str(round(f3.GetParameter(2), decimals))) - strFit = strFit.replace('[3]', str(round(f3.GetParameter(3), decimals))) - strFit = strFit.replace('[4]', str(round(f3.GetParameter(4), decimals))) - strFit = strFit.replace('+ -', '-') - strFit = strFit.replace('- -', '+') - - tex4 = TLatex(0.2,0.8,strFit); - tex4.SetNDC(); - tex4.SetTextAlign(13); - tex4.SetTextFont(42); - tex4.SetTextSize(0.3); - tex4.SetLineWidth(2); - tex4.SetTextColor(2) - tex4.Draw(); - f3.DrawCopy("same") - - #infos - infos[plot + '_' + jetbin]['fitFunction'] = fitfunction - infos[plot + '_' + jetbin]['sfFitFunction'] = scaleFactorFitFunction - mcInfos[plot + '_' + jetbin]['fitFunction'] = fitfunction - infos[plot + '_' + jetbin]['chi2'] = f1.GetChisquare() - infos[plot + '_' + jetbin]['ndof'] = f1.GetNumberFreeParameters() - infos[plot + '_' + jetbin]['sfchi2'] = f1.GetChisquare() - infos[plot + '_' + jetbin]['sfndof'] = f1.GetNumberFreeParameters() - infos[plot + '_' + jetbin]['params'] = [] - infos[plot + '_' + jetbin]['sfParams'] = [] - mcInfos[plot + '_' + jetbin]['params'] = [] - mcInfos[plot + '_' + jetbin]['chi2'] = f1.GetChisquare() - mcInfos[plot + '_' + jetbin]['ndof'] = f1.GetNumberFreeParameters() - - for i in range(f1.GetNpar()): - par, err = f1.GetParameter(i), f1.GetParError(i) - infos[plot + '_' + jetbin]['params'].append((par, err)) - - for i in range(f2.GetNpar()): - par, err = f2.GetParameter(i), f2.GetParError(i) - mcInfos[plot + '_' + jetbin]['params'].append((par, err)) - - for i in range(f3.GetNpar()): - par, err = f3.GetParameter(i), f3.GetParError(i) - infos[plot + '_' + jetbin]['sfParams'].append((par, err)) - -# eff.DrawClone('P0') -# f1.Draw("SAME"); - - saveAs(c, saveName + '_' + jetbin + '_Fall11', outputFolder = outputFolder,outputFormats= outputFormats) - del hFrame - del c - del f1 - del f2 - del f3 - del efficiency - del mc_efficiency - return infos, mcInfos - - -def makeQCDErrorPlot(files, hists): - errors = QCDEstimation.getShapeErrorHistogram('topReconstruction/backgroundShape/mttbar_conversions_withMETAndAsymJets_0orMoreBtag', files) -# systematicEstimationError = QCDEstimation.doClosureTestFor(files, 'QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_1btag') -# qcdEstimate = QCDEstimation.estimateQCDFor('', files['data'], 'QCDStudy/PFIsolation_WithMETCutAndAsymJetCuts_1btag') -# print 'QCD estimation:', qcdEstimate -# print 'Systematic uncertainty for this b-jet bin:', systematicEstimationError - gStyle.SetErrorX(0.5); - - if errors: - errors.GetXaxis().SetRangeUser(250, 3000) - - c = TCanvas("cname3", 'cname3', 1200, 900) - -# errors.DrawCopy("hist"); - errors.SetFillColor(kBlack) - errors.SetMarkerStyle(0) -# errors.SetFillStyle(1001) - errors.SetFillStyle(3013); - errors.DrawCopy('E2') - saveAs(c, 'shape_errors_0orMoreBtag' , outputFormats) - - controlHist = hists['data']['topReconstruction/backgroundShape/mttbar_conversions_withMETAndAsymJets_0orMoreBtag'] - nTotalControl = controlHist.Integral() - shapeError = 0 - errorlist = [] - binlist = [] - for bin in range(1, errors.GetNbinsX()): - err = fabs(errors.GetBinContent(bin) + errors.GetBinError(bin)) - errorlist.append(err) - binValue = errors.GetBinCenter(bin) - errors.GetBinWidth(bin)/2 - binlist.append(binValue) - controlEntries = controlHist.GetBinContent(bin) - - shapeError += (err*controlEntries/nTotalControl)**2 -# if binValue >= 200 and binValue <= 2000: -# print 'relative error:', err -# print 'bin start:', binValue - print 'Total shape error: ', sqrt(shapeError) - print binlist - print errorlist - gStyle.SetErrorX(0.); - -def compareShapesTwoData(dataOld, dataNew): - hists = ['topReconstruction/mttbar_withMETAndAsymJets', - 'topReconstruction/mttbar_3jets_withMETAndAsymJets', - ] - histsOld = HistGetter.getHistsFromFiles(hists, {'data': dataOld}, bJetBins=HistPlotter.allBjetBins) - histsNew = HistGetter.getHistsFromFiles(hists, {'data': dataNew}, bJetBins=HistPlotter.allBjetBins) - - - leg = TLegend(0.696, 0.35, 0.94, 0.92); - leg.SetBorderSize(0); - leg.SetLineStyle(0); - leg.SetTextFont(42); - leg.SetFillStyle(0); - - AddLegendEntry = leg.AddEntry - alreadyAdded = False - - for bin in HistPlotter.allBjetBins: - for hist in hists: - current = hist + '_' + bin - currentOld = histsOld['data'][current] - currentNew = histsNew['data'][current] - currentOld.Rebin(50) - currentNew.Rebin(50) - if currentOld.Integral() > 0: - currentOld.Scale(1000/currentOld.Integral()) - if currentNew.Integral(): - currentNew.Scale(1000/currentNew.Integral()) - - c = TCanvas("cname3", 'cname3', 1200, 900) - c.SetLogy(1) - currentOld.SetFillColor(2) - currentOld.SetFillStyle(3004) - - currentNew.SetFillColor(4) - currentNew.SetFillStyle(3005) - - currentOld.GetXaxis().SetRangeUser(250, 3000); - currentOld.Draw('hist') - currentNew.Draw('hist same') - - if not alreadyAdded: - AddLegendEntry(currentOld, "old JEC", "f"); - AddLegendEntry(currentNew, "new JEC", "f"); - alreadyAdded = True - - leg.Draw() - saveAs(c, current + '_shape_comparison' , outputFormats) - del c - -def printHLTOutput(infos, mcInfos): -# TODO: create dictionary scaleFunction[trigger][ptThreshold][function|error] - keys = infos.keys() - previous = '' - for hlt in sorted(keys): - trigger = hlt.split('/')[1] - suffix = hlt.split('/')[-1] - jetbin = suffix.split('_')[-1] - variable = suffix.split('_')[1] - ptThreshold = '' - if 'PtGT' in suffix: - ptThreshold = '(' + suffix.split('_')[2] + ')' - if not trigger == previous: - print '='*10, trigger, '='*10 - previous = trigger - print '='*30 - print 'Fit functions for jet bin', jetbin, 'and variable', variable, ptThreshold -# print 'Fit function for data' - fitfunction = infos[hlt]['sfFitFunction'] - params = infos[hlt]['sfParams'] - function = fitfunction - upperFunction = function - lowerFunction = function - errorFunction = function - for i in range(len(params)): - param = params[i][0] - err = params[i][1] - upper = param + err - lower = param - err - if not 'pol' in function: - function = function.replace('[%d]'%i, str(param)) - upperFunction = upperFunction.replace('[%d]'%i, str(upper)) - lowerFunction = lowerFunction.replace('[%d]'%i, str(lower)) - errorFunction = errorFunction.replace('[%d]'%i, '±' + str(err)) - -# print 'Upper boundary' -# print upperFunction -# chi2 = infos[hlt]['sfchi2'] -# ndof = infos[hlt]['sfndof'] -# print 'central fit, chi2:', chi2, 'ndof:', ndof, 'chi2/ndof', chi2/ndof -# print function -# print 'Lower boundary' -# print lowerFunction - - fitRange = [-3.1,3.1] - if variable == 'pt': - fitRange = [20,200] - elif variable == 'eta': - fitRange = [-3,3] - - print 'variable', variable - print '| =%s= | %s | %s |' % (trigger, function, errorFunction) - - - c = TCanvas("cname", 'cname', 1200, 900) - f1 = TF1('f1', upperFunction, fitRange[0], fitRange[1]) - f2 = TF1('f2', function, fitRange[0], fitRange[1]) - f3 = TF1('f3', lowerFunction, fitRange[0], fitRange[1]) - f1.SetLineColor(2) - f2.SetLineColor(1) - f3.SetLineColor(4) - - f1.Draw() - f2.Draw('same') - f3.Draw('same') - - saveAs(c, hlt + '_scaleFactor', - outputFolder = outputFolder,outputFormats= outputFormats) - - - - -if __name__ == '__main__': - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 5001;') - - files = inputFiles.files - -# hltFiles = {} -# hltFiles['data'] = '/storage/results/histogramFiles/data_1959.75pb_PFElectron_PF2PATJets_PFMET.root' -# hltFiles['ttbar'] = '/storage/results/histogramFiles/TTJet_1959.75pb_PFElectron_PF2PATJets_PFMET.root' -# -# hltFiles['data'] = inputFiles.files['data'] -# hltFiles['ttbar'] = inputFiles.files['ttbar'] - - qcdPlots = [#MET -# 'TTbarEplusJetsPlusMetAnalysis/Ref selection/QCDConversions/MET/patType1CorrectedPFMet/MET', -# 'TTbarEplusJetsPlusMetAnalysis/Ref selection/QCD non iso e+jets/MET/patType1CorrectedPFMet/MET', - 'TTbarPlusMetAnalysis/EPlusJets/QCDConversions/Electron/electron_AbsEta', - 'TTbarPlusMetAnalysis/EPlusJets/QCD non iso e+jets/Electron/electron_AbsEta', -# 'TTbarEplusJetsPlusMetAnalysis/Ref + AsymJets selection/QCD non iso e+jets, non iso trigger/MET/patMETsPFlow/MET', -# 'TTbarEplusJetsPlusMetAnalysis/Ref + AsymJets selection/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03', -# 'TTbarEplusJetsPlusMetAnalysis/Ref + AsymJets selection/QCD e+jets PFRelIso, non iso trigger/Electron/electron_pfIsolation_03' - ] -# triggerPlots = ['HLTStudy/' + trigger + '/' + variable + '_' + modifier for trigger in triggers for variable in triggerVariables for modifier in triggerModifiers] - - HistPlotter.setStyle() - hists = HistGetter.getHistsFromFiles(qcdPlots, files, bJetBins=['0btag']) -# hists = HistGetter.getHistsFromFiles(triggerPlots, hltFiles, jetBins=HistPlotter.allJetBins) -# hists = HistGetter.addSampleSum( hists ) -# -# hists = HistPlotter.applyDefaultStylesAndColors( hists ) -# -# hists = HistPlotter.rebin(hists, 50, 'mttbar*') -# hists = HistPlotter.setXRange(hists, (300, 1800), 'mttbar*') -### -# hists = HistPlotter.setXTitle(hists, 'm(t#bar{t})/GeV', 'mttbar*') -# hists = HistPlotter.setYTitle(hists, 'Events/(50 GeV)', 'mttbar*') -# -# hists = HistGetter.makeMCStack( hists ) -# hists = HistGetter.makeDetailedMCStack( hists ) - -# hists = HistPlotter.rebin(hists, 5, 'MET*') -# hists = HistPlotter.setXTitle(hists, 'MET/GeV', 'MET*') -# hists = HistPlotter.setYTitle(hists, 'Events/(5 GeV)', 'MET*') - hists = HistPlotter.rebin(hists, 10, 'electron_AbsEta*') - hists = HistPlotter.setXTitle(hists, '|#eta(e)|', 'electron_AbsEta*') - hists = HistPlotter.setYTitle(hists, 'Events/(0.1 GeV)', 'electron_AbsEta*') -# hists = HistPlotter.rebin(hists, 5, '*pfIsolation*') -# hists = HistPlotter.setXTitle(hists, 'pf rel. iso', '*pfIsolation*') -# hists = HistPlotter.setYTitle(hists, 'Events/(0.05)', '*pfIsolation*') -# compareQCDControlRegionsInData(dataHists=hists['data'], bJetBins=HistPlotter.inclusiveBjetBins) -# compareQCDControlRegionsInData(hists=hists, bJetBins=['0btag']) - plotControlRegion(hists) -# compareShapesTwoData( -# '/storage/results/histogramFiles/PAS3/data_1091.45pb_PFElectron_PF2PATJets_PFMET.root', -# '/storage/results/histogramFiles/CiCElectron ID/data_1611.95pb_PFElectron_PF2PATJets_PFMET.root' -# ) -# makeQCDErrorPlot(files, hists) -# infos, mcInfos = plotHLTStudy(hists, rebin = 5) -# printHLTOutput(infos, mcInfos) - -# -# c = TCanvas("cname4", 'cname4', 1200, 900) -# histname = 'topReconstruction/backgroundShape/mttbar_conversions_withMETAndAsymJets_0orMoreBtag' -# hist = hists['allMCDetailed'][histname] -# hists['enri1'][histname].GetYaxis().SetRangeUser(0, hist.GetMaximum()*1.4); -# hists['enri1'][histname].Draw('hist') -# hist.Draw('hist same') -# -# entries = hists['enri3'][histname].GetEntries() -# events = hists['enri3'][histname].Integral() -# print entries, events, events/entries -# print QCDEstimation.getIntegral(hists['enri3'][histname], (350, 400)) -# -# leg = TLegend(0.696, 0.35, 0.94, 0.92); -# leg.SetBorderSize(0); -# leg.SetLineStyle(0); -# leg.SetTextFont(42); -# leg.SetFillStyle(0); -# -# leg.AddEntry(hists['enri1'][histname], "QCD EMEnr. 20to30", "f"); -# leg.AddEntry(hists['enri2'][histname], "QCD EMEnr. 30to80", "f"); -# leg.AddEntry(hists['enri3'][histname], "QCD EMEnr. 80to170", "f"); -# leg.AddEntry(hists['bce1'][histname], "QCD BCToE. 20to30", "f"); -# leg.AddEntry(hists['bce2'][histname], "QCD BCToE. 30to80", "f"); -# leg.AddEntry(hists['bce3'][histname], "QCD BCToE. 80to170", "f"); -# leg.AddEntry(hists['pj1'][histname], "QCD #gamma + jets 40to100", "f"); -# leg.AddEntry(hists['pj2'][histname], "QCD #gamma + jets 100to200", "f"); -# leg.AddEntry(hists['pj3'][histname], "QCD #gamma + jets 200toINF", "f"); -# leg.Draw() -# c.RedrawAxis() -# -# c.SaveAs('detailed_MC_conversions.png') - - diff --git a/scripts_old/makeShinyPlots.py b/scripts_old/makeShinyPlots.py deleted file mode 100644 index 5b336f7b..00000000 --- a/scripts_old/makeShinyPlots.py +++ /dev/null @@ -1,24 +0,0 @@ -#!/usr/bin/env python - -# 0. Set ROOT into batch mode -# 1. set TDR style -# 2. read histograms from list (list including paths in file) - - -import ROOT -import HistPlotter - - -def plotFromFiles(files, plots): - pass - -def plotFromFolders(file, folders, plots): - pass - -def plotFromTargets(file, targets, plots): - pass - - -if '__main__' in __name__: - ROOT.gROOT.SetBatch(1) - HistPlotter.setStyle() \ No newline at end of file diff --git a/scripts_old/mcNTuple.txt b/scripts_old/mcNTuple.txt deleted file mode 100644 index c8f95473..00000000 --- a/scripts_old/mcNTuple.txt +++ /dev/null @@ -1,548 +0,0 @@ ----++ MC content -Size of event: 6.232 KB +- 0.011 ----+++ BeamSpot -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *BeamSpot* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !BeamSpot.WidthX | 6.335 | 0.681 | 9.30 | 2.752 | 0.04% | -| !BeamSpot.WidthXError | 6.336 | 0.681 | 9.30 | 2.771 | 0.04% | -| !BeamSpot.WidthY | 6.335 | 0.682 | 9.29 | 2.752 | 0.04% | -| !BeamSpot.WidthYError | 6.336 | 0.681 | 9.30 | 2.771 | 0.04% | -| !BeamSpot.X0 | 6.335 | 0.682 | 9.29 | 2.736 | 0.04% | -| !BeamSpot.X0Error | 6.336 | 0.681 | 9.30 | 2.756 | 0.04% | -| !BeamSpot.Y0 | 6.335 | 0.682 | 9.29 | 2.736 | 0.04% | -| !BeamSpot.Y0Error | 6.336 | 0.681 | 9.31 | 2.756 | 0.04% | -| !BeamSpot.Z0 | 6.335 | 0.682 | 9.29 | 2.736 | 0.04% | -| !BeamSpot.Z0Error | 6.336 | 0.681 | 9.30 | 2.756 | 0.04% | -| !BeamSpot.dxdz | 6.335 | 0.682 | 9.29 | 2.744 | 0.04% | -| !BeamSpot.dxdzError | 6.336 | 0.681 | 9.30 | 2.764 | 0.04% | -| !BeamSpot.dydz | 6.335 | 0.681 | 9.30 | 2.744 | 0.04% | -| !BeamSpot.dydzError | 6.336 | 0.681 | 9.31 | 2.764 | 0.04% | -| !BeamSpot.sigmaZ | 6.335 | 0.682 | 9.30 | 2.752 | 0.04% | -| !BeamSpot.sigmaZError | 6.336 | 0.681 | 9.30 | 2.771 | 0.04% | -| *Total* | 95.032 | 10.221 | 9.30 | 1183.106 | 0.56% | -%ENDTWISTY% - ----+++ Event -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *Event* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !Event.Bunch | 1.155 | 0.007 | 155.27 | 1.502 | 0.00% | -| !Event.LumiSection | 1.156 | 0.010 | 114.11 | 1.525 | 0.00% | -| !Event.MagneticField | 2.306 | 0.011 | 210.95 | 1.561 | 0.00% | -| !Event.Number | 1.156 | 0.504 | 2.29 | 1.506 | 0.03% | -| !Event.Orbit | 1.155 | 0.007 | 155.27 | 1.502 | 0.00% | -| !Event.PDFWeights | 4.036 | 0.646 | 6.25 | 2.717 | 0.04% | -| !Event.PileUpInteractions | 7.486 | 1.421 | 5.27 | 2.787 | 0.08% | -| !Event.PileUpOriginBX | 7.485 | 0.689 | 10.87 | 2.771 | 0.04% | -| !Event.ProcessID | 1.156 | 0.115 | 10.02 | 1.518 | 0.01% | -| !Event.PtHat | 2.305 | 0.009 | 266.54 | 1.529 | 0.00% | -| !Event.Run | 1.155 | 0.007 | 154.07 | 1.494 | 0.00% | -| !Event.Time | 2.305 | 0.764 | 3.02 | 1.525 | 0.04% | -| !Event.isData | 0.293 | 0.007 | 43.49 | 1.500 | 0.00% | -| !Event.rho | 2.305 | 2.185 | 1.05 | 1.521 | 0.12% | -| *Total* | 34.300 | 6.376 | 5.38 | 17611.845 | 0.35% | -%ENDTWISTY% - ----+++ GenJet -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *GenJet* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !GenJet.Charge | 17.199 | 1.115 | 15.43 | 2.842 | 0.06% | -| !GenJet.EMF | 17.199 | 13.652 | 1.26 | 2.830 | 0.74% | -| !GenJet.Energy | 17.199 | 13.719 | 1.25 | 2.842 | 0.75% | -| !GenJet.Eta | 17.199 | 9.072 | 1.90 | 2.830 | 0.49% | -| !GenJet.HADF | 17.199 | 13.512 | 1.27 | 2.834 | 0.74% | -| !GenJet.Mass | 17.199 | 8.521 | 2.02 | 2.834 | 0.46% | -| !GenJet.Phi | 17.199 | 9.115 | 1.89 | 2.830 | 0.50% | -| !GenJet.Pt | 17.199 | 8.497 | 2.02 | 2.826 | 0.46% | -| !GenJet.Px | 17.199 | 13.951 | 1.23 | 2.826 | 0.76% | -| !GenJet.Py | 17.199 | 13.951 | 1.23 | 2.826 | 0.76% | -| !GenJet.Pz | 17.199 | 13.966 | 1.23 | 2.826 | 0.76% | -| *Total* | 171.987 | 117.956 | 1.46 | 6486.887 | 6.43% | -%ENDTWISTY% - ----+++ Genmetextrue -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *Genmetextrue* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !GenMETExTrue | 6.335 | 3.182 | 1.99 | 2.740 | 0.17% | -%ENDTWISTY% - ----+++ Genmeteytrue -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *Genmeteytrue* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !GenMETEyTrue | 6.335 | 3.183 | 1.99 | 2.740 | 0.17% | -%ENDTWISTY% - ----+++ GenParticle -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *GenParticle* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !GenParticle.Energy | 61.507 | 50.883 | 1.21 | 2.178 | 2.77% | -| !GenParticle.Eta | 61.506 | 32.061 | 1.92 | 2.166 | 1.75% | -| !GenParticle.MotherIndex | 32.769 | 1.928 | 16.99 | 1.904 | 0.11% | -| !GenParticle.NumDaught | 32.769 | 5.675 | 5.77 | 1.896 | 0.31% | -| !GenParticle.PdgId | 32.768 | 2.802 | 11.69 | 1.881 | 0.15% | -| !GenParticle.Phi | 61.506 | 31.726 | 1.94 | 2.166 | 1.73% | -| !GenParticle.Pt | 61.506 | 30.338 | 2.03 | 2.162 | 1.65% | -| !GenParticle.Px | 61.506 | 51.941 | 1.18 | 2.162 | 2.83% | -| !GenParticle.Py | 61.506 | 51.942 | 1.18 | 2.162 | 2.83% | -| !GenParticle.Pz | 61.506 | 51.596 | 1.19 | 2.162 | 2.81% | -| !GenParticle.Status | 32.769 | 1.401 | 23.39 | 1.885 | 0.08% | -| !GenParticle.VX | 61.506 | 2.540 | 24.22 | 2.162 | 0.14% | -| !GenParticle.VY | 61.506 | 2.519 | 24.42 | 2.162 | 0.14% | -| !GenParticle.VZ | 61.506 | 2.928 | 21.01 | 2.162 | 0.16% | -| *Total* | 684.633 | 269.398 | 2.54 | 285470.462 | 14.69% | -%ENDTWISTY% - ----+++ Trigger -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *Trigger* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !Trigger.HLTBits | 278.780 | 10.633 | 26.22 | 6.873 | 0.58% | -| !Trigger.HLTNames | 461.569 | 3.814 | 121.03 | 11.271 | 0.21% | -| !Trigger.HLTPrescales | 40.815 | 0.932 | 43.77 | 1.971 | 0.05% | -| !Trigger.HLTPrescalesOther | 84.498 | 1.360 | 62.15 | 2.459 | 0.07% | -| !Trigger.HLTResults | 40.815 | 1.376 | 29.67 | 1.963 | 0.08% | -| !Trigger.HLTResultsOther | 84.498 | 1.606 | 52.63 | 2.451 | 0.09% | -| !Trigger.L1PhysBits | 151.177 | 7.910 | 19.11 | 4.287 | 0.43% | -| !Trigger.L1TechBits | 77.600 | 1.550 | 50.07 | 2.354 | 0.08% | -| *Total* | 940.973 | 18.547 | 50.73 | 17568.610 | 1.01% | -%ENDTWISTY% - ----+++ goodOfflinePrimaryVertices -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *goodOfflinePrimaryVertices* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !goodOfflinePrimaryVertices.Chi2 | 17.158 | 8.681 | 1.98 | 2.834 | 0.47% | -| !goodOfflinePrimaryVertices.IsFake | 10.599 | 1.176 | 9.01 | 2.861 | 0.06% | -| !goodOfflinePrimaryVertices.NDF | 17.158 | 8.610 | 1.99 | 2.830 | 0.47% | -| !goodOfflinePrimaryVertices.NTracks | 10.599 | 3.301 | 3.21 | 2.865 | 0.18% | -| !goodOfflinePrimaryVertices.NTracksW05 | 10.599 | 3.258 | 3.25 | 2.877 | 0.18% | -| !goodOfflinePrimaryVertices.Rho | 17.158 | 13.062 | 1.31 | 2.830 | 0.71% | -| !goodOfflinePrimaryVertices.X | 17.157 | 7.663 | 2.24 | 2.822 | 0.42% | -| !goodOfflinePrimaryVertices.XErr | 17.158 | 13.714 | 1.25 | 2.834 | 0.75% | -| !goodOfflinePrimaryVertices.Y | 17.157 | 7.516 | 2.28 | 2.822 | 0.41% | -| !goodOfflinePrimaryVertices.YErr | 17.158 | 13.714 | 1.25 | 2.834 | 0.75% | -| !goodOfflinePrimaryVertices.Z | 17.157 | 9.270 | 1.85 | 2.822 | 0.51% | -| !goodOfflinePrimaryVertices.ZErr | 17.158 | 13.716 | 1.25 | 2.834 | 0.75% | -| *Total* | 169.057 | 95.000 | 1.78 | 17162.926 | 5.18% | -%ENDTWISTY% - ----+++ goodPatJets -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *goodPatJets* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !goodPatJets.Charge | 16.761 | 8.673 | 1.93 | 2.861 | 0.47% | -| !goodPatJets.CombinedSVBJetTag | 16.762 | 1.121 | 14.95 | 2.904 | 0.06% | -| !goodPatJets.CombinedSVMVABJetTag | 16.763 | 1.122 | 14.94 | 2.916 | 0.06% | -| !goodPatJets.EMF | 16.760 | 8.104 | 2.07 | 2.850 | 0.44% | -| !goodPatJets.Energy | 16.761 | 13.298 | 1.26 | 2.861 | 0.73% | -| !goodPatJets.EnergyRaw | 16.761 | 13.296 | 1.26 | 2.873 | 0.73% | -| !goodPatJets.Eta | 16.760 | 8.796 | 1.91 | 2.850 | 0.48% | -| !goodPatJets.HADF | 16.761 | 8.254 | 2.03 | 2.854 | 0.45% | -| !goodPatJets.JECUnc | 16.761 | 1.120 | 14.97 | 2.861 | 0.06% | -| !goodPatJets.JetBProbabilityBTag | 16.762 | 8.493 | 1.97 | 2.912 | 0.46% | -| !goodPatJets.JetProbabilityBTag | 16.762 | 7.555 | 2.22 | 2.908 | 0.41% | -| !goodPatJets.L1OffJEC | 16.761 | 11.380 | 1.47 | 2.869 | 0.62% | -| !goodPatJets.L2L3ResJEC | 16.761 | 1.120 | 14.96 | 2.877 | 0.06% | -| !goodPatJets.L2RelJEC | 16.761 | 12.943 | 1.29 | 2.869 | 0.71% | -| !goodPatJets.L3AbsJEC | 16.761 | 13.189 | 1.27 | 2.869 | 0.72% | -| !goodPatJets.Mass | 16.761 | 8.295 | 2.02 | 2.854 | 0.45% | -| !goodPatJets.PartonFlavour | 10.400 | 2.407 | 4.32 | 2.830 | 0.13% | -| !goodPatJets.PassLooseID | 10.399 | 1.066 | 9.76 | 2.822 | 0.06% | -| !goodPatJets.PassTightID | 10.399 | 1.080 | 9.63 | 2.822 | 0.06% | -| !goodPatJets.Phi | 16.760 | 8.849 | 1.89 | 2.850 | 0.48% | -| !goodPatJets.Pt | 16.760 | 8.256 | 2.03 | 2.846 | 0.45% | -| !goodPatJets.PtRaw | 16.761 | 8.315 | 2.02 | 2.857 | 0.45% | -| !goodPatJets.Px | 16.760 | 13.496 | 1.24 | 2.846 | 0.74% | -| !goodPatJets.Py | 16.760 | 13.496 | 1.24 | 2.846 | 0.74% | -| !goodPatJets.Pz | 16.760 | 13.516 | 1.24 | 2.846 | 0.74% | -| !goodPatJets.SigmaEta | 16.761 | 13.294 | 1.26 | 2.869 | 0.72% | -| !goodPatJets.SigmaPhi | 16.761 | 13.274 | 1.26 | 2.869 | 0.72% | -| !goodPatJets.SimpleSecondaryVertexHighEffBTag | 16.764 | 3.323 | 5.05 | 2.963 | 0.18% | -| !goodPatJets.SimpleSecondaryVertexHighPurBTag | 16.764 | 2.717 | 6.17 | 2.963 | 0.15% | -| !goodPatJets.SoftElectronBJetTag | 16.762 | 1.122 | 14.94 | 2.912 | 0.06% | -| !goodPatJets.SoftMuonBJetTag | 16.762 | 1.877 | 8.93 | 2.896 | 0.10% | -| !goodPatJets.SoftMuonNoIPBJetTag | 16.762 | 1.122 | 14.94 | 2.912 | 0.06% | -| !goodPatJets.TrackCountingHighEffBTag | 16.763 | 7.986 | 2.10 | 2.932 | 0.44% | -| !goodPatJets.TrackCountingHighPurBTag | 16.763 | 7.349 | 2.28 | 2.932 | 0.40% | -| !goodPatJets.fHPD | 16.761 | 8.281 | 2.02 | 2.854 | 0.45% | -| !goodPatJets.fRBX | 16.761 | 8.274 | 2.03 | 2.854 | 0.45% | -| !goodPatJets.n90Hits | 10.399 | 3.287 | 3.16 | 2.807 | 0.18% | -| !goodPatJets.resEMF | 16.761 | 8.102 | 2.07 | 2.861 | 0.44% | -| *Total* | 594.725 | 268.576 | 2.21 | 15041.044 | 14.65% | -%ENDTWISTY% - ----+++ goodPatJetsCA8PF -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *goodPatJetsCA8PF* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !goodPatJetsCA8PF.BestVertexTrackAssociationFactor | 14.689 | 11.168 | 1.32 | 2.963 | 0.61% | -| !goodPatJetsCA8PF.BestVertexTrackAssociationIndex | 9.365 | 1.163 | 8.05 | 2.900 | 0.06% | -| !goodPatJetsCA8PF.Charge | 14.686 | 7.510 | 1.96 | 2.861 | 0.41% | -| !goodPatJetsCA8PF.ChargedEmEnergyFraction | 14.688 | 2.415 | 6.08 | 2.928 | 0.13% | -| !goodPatJetsCA8PF.ChargedEmEnergyFractionRAW | 14.688 | 2.416 | 6.08 | 2.939 | 0.13% | -| !goodPatJetsCA8PF.ChargedHadronEnergyFraction | 14.688 | 7.066 | 2.08 | 2.943 | 0.39% | -| !goodPatJetsCA8PF.ChargedHadronEnergyFractionRAW | 14.689 | 7.068 | 2.08 | 2.955 | 0.39% | -| !goodPatJetsCA8PF.ChargedHadronMultiplicity | 9.364 | 2.542 | 3.68 | 2.877 | 0.14% | -| !goodPatJetsCA8PF.ChargedMuEnergyFraction | 14.688 | 1.928 | 7.62 | 2.928 | 0.11% | -| !goodPatJetsCA8PF.ChargedMultiplicity | 9.363 | 2.541 | 3.68 | 2.854 | 0.14% | -| !goodPatJetsCA8PF.ClosestVertex3DIndex | 9.363 | 2.041 | 4.59 | 2.857 | 0.11% | -| !goodPatJetsCA8PF.ClosestVertexWeighted3DSeparation | 14.689 | 11.396 | 1.29 | 2.967 | 0.62% | -| !goodPatJetsCA8PF.ClosestVertexWeightedXYSeparation | 14.689 | 1.092 | 13.46 | 2.967 | 0.06% | -| !goodPatJetsCA8PF.ClosestVertexWeightedZSeparation | 14.689 | 1.091 | 13.46 | 2.963 | 0.06% | -| !goodPatJetsCA8PF.ClosestVertexXYIndex | 9.363 | 1.054 | 8.89 | 2.857 | 0.06% | -| !goodPatJetsCA8PF.ClosestVertexZIndex | 9.363 | 1.053 | 8.89 | 2.854 | 0.06% | -| !goodPatJetsCA8PF.ElectronEnergyFraction | 14.688 | 3.079 | 4.77 | 2.924 | 0.17% | -| !goodPatJetsCA8PF.ElectronMultiplicity | 9.363 | 1.375 | 6.81 | 2.857 | 0.07% | -| !goodPatJetsCA8PF.Energy | 14.686 | 11.340 | 1.30 | 2.861 | 0.62% | -| !goodPatJetsCA8PF.EnergyRaw | 14.686 | 11.337 | 1.30 | 2.873 | 0.62% | -| !goodPatJetsCA8PF.Eta | 14.685 | 7.563 | 1.94 | 2.850 | 0.41% | -| !goodPatJetsCA8PF.JECUnc | 14.686 | 1.089 | 13.49 | 2.861 | 0.06% | -| !goodPatJetsCA8PF.JetBProbabilityBTag | 14.687 | 7.395 | 1.99 | 2.912 | 0.40% | -| !goodPatJetsCA8PF.JetProbabilityBTag | 14.687 | 6.765 | 2.17 | 2.908 | 0.37% | -| !goodPatJetsCA8PF.L1OffJEC | 14.686 | 11.014 | 1.33 | 2.869 | 0.60% | -| !goodPatJetsCA8PF.L2L3ResJEC | 14.686 | 1.089 | 13.49 | 2.877 | 0.06% | -| !goodPatJetsCA8PF.L2RelJEC | 14.686 | 10.735 | 1.37 | 2.869 | 0.59% | -| !goodPatJetsCA8PF.L3AbsJEC | 14.686 | 10.510 | 1.40 | 2.869 | 0.57% | -| !goodPatJetsCA8PF.Mass | 14.686 | 7.121 | 2.06 | 2.854 | 0.39% | -| !goodPatJetsCA8PF.MuonEnergyFraction | 14.687 | 1.929 | 7.62 | 2.908 | 0.11% | -| !goodPatJetsCA8PF.MuonMultiplicity | 9.363 | 1.283 | 7.30 | 2.842 | 0.07% | -| !goodPatJetsCA8PF.NConstituents | 9.362 | 2.783 | 3.36 | 2.830 | 0.15% | -| !goodPatJetsCA8PF.NeutralEmEnergyFraction | 14.688 | 7.195 | 2.04 | 2.928 | 0.39% | -| !goodPatJetsCA8PF.NeutralEmEnergyFractionRAW | 14.688 | 7.197 | 2.04 | 2.939 | 0.39% | -| !goodPatJetsCA8PF.NeutralHadronEnergyFraction | 14.688 | 7.012 | 2.09 | 2.943 | 0.38% | -| !goodPatJetsCA8PF.NeutralHadronEnergyFractionRAW | 14.689 | 7.015 | 2.09 | 2.955 | 0.38% | -| !goodPatJetsCA8PF.NeutralHadronMultiplicity | 9.364 | 2.160 | 4.34 | 2.877 | 0.12% | -| !goodPatJetsCA8PF.NeutralMultiplicity | 9.363 | 2.559 | 3.66 | 2.854 | 0.14% | -| !goodPatJetsCA8PF.PartonFlavour | 9.362 | 2.187 | 4.28 | 2.830 | 0.12% | -| !goodPatJetsCA8PF.PassLooseID | 9.362 | 1.052 | 8.90 | 2.822 | 0.06% | -| !goodPatJetsCA8PF.PassTightID | 9.362 | 1.056 | 8.86 | 2.822 | 0.06% | -| !goodPatJetsCA8PF.Phi | 14.685 | 7.598 | 1.93 | 2.850 | 0.41% | -| !goodPatJetsCA8PF.PhotonEnergyFraction | 14.688 | 7.199 | 2.04 | 2.916 | 0.39% | -| !goodPatJetsCA8PF.PhotonMultiplicity | 9.363 | 2.524 | 3.71 | 2.850 | 0.14% | -| !goodPatJetsCA8PF.Pt | 14.685 | 7.120 | 2.06 | 2.846 | 0.39% | -| !goodPatJetsCA8PF.PtRaw | 14.686 | 7.118 | 2.06 | 2.857 | 0.39% | -| !goodPatJetsCA8PF.Px | 14.685 | 11.510 | 1.28 | 2.846 | 0.63% | -| !goodPatJetsCA8PF.Py | 14.685 | 11.510 | 1.28 | 2.846 | 0.63% | -| !goodPatJetsCA8PF.Pz | 14.685 | 11.521 | 1.27 | 2.846 | 0.63% | -| !goodPatJetsCA8PF.SimpleSecondaryVertexHighEffBTag | 14.689 | 3.180 | 4.62 | 2.963 | 0.17% | -| !goodPatJetsCA8PF.SimpleSecondaryVertexHighPurBTag | 14.689 | 2.586 | 5.68 | 2.963 | 0.14% | -| !goodPatJetsCA8PF.TrackCountingHighEffBTag | 14.688 | 7.299 | 2.01 | 2.932 | 0.40% | -| !goodPatJetsCA8PF.TrackCountingHighPurBTag | 14.688 | 6.953 | 2.11 | 2.932 | 0.38% | -| *Total* | 683.872 | 272.334 | 2.51 | 14619.207 | 14.85% | -%ENDTWISTY% - ----+++ goodPatJetsPFlow -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *goodPatJetsPFlow* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !goodPatJetsPFlow.BestVertexTrackAssociationFactor | 14.277 | 10.775 | 1.33 | 2.963 | 0.59% | -| !goodPatJetsPFlow.BestVertexTrackAssociationIndex | 9.159 | 1.144 | 8.01 | 2.900 | 0.06% | -| !goodPatJetsPFlow.Charge | 14.274 | 7.277 | 1.96 | 2.861 | 0.40% | -| !goodPatJetsPFlow.ChargedEmEnergyFraction | 14.276 | 2.309 | 6.18 | 2.928 | 0.13% | -| !goodPatJetsPFlow.ChargedEmEnergyFractionRAW | 14.276 | 2.311 | 6.18 | 2.939 | 0.13% | -| !goodPatJetsPFlow.ChargedHadronEnergyFraction | 14.277 | 6.871 | 2.08 | 2.943 | 0.37% | -| !goodPatJetsPFlow.ChargedHadronEnergyFractionRAW | 14.277 | 6.873 | 2.08 | 2.955 | 0.37% | -| !goodPatJetsPFlow.ChargedHadronMultiplicity | 9.158 | 2.403 | 3.81 | 2.877 | 0.13% | -| !goodPatJetsPFlow.ChargedMuEnergyFraction | 14.276 | 1.852 | 7.71 | 2.928 | 0.10% | -| !goodPatJetsPFlow.ChargedMultiplicity | 9.157 | 2.402 | 3.81 | 2.854 | 0.13% | -| !goodPatJetsPFlow.ClosestVertex3DIndex | 9.157 | 2.007 | 4.56 | 2.857 | 0.11% | -| !goodPatJetsPFlow.ClosestVertexWeighted3DSeparation | 14.277 | 11.005 | 1.30 | 2.967 | 0.60% | -| !goodPatJetsPFlow.ClosestVertexWeightedXYSeparation | 14.277 | 1.100 | 12.98 | 2.967 | 0.06% | -| !goodPatJetsPFlow.ClosestVertexWeightedZSeparation | 14.277 | 1.100 | 12.98 | 2.963 | 0.06% | -| !goodPatJetsPFlow.ClosestVertexXYIndex | 9.157 | 1.065 | 8.60 | 2.857 | 0.06% | -| !goodPatJetsPFlow.ClosestVertexZIndex | 9.157 | 1.065 | 8.60 | 2.854 | 0.06% | -| !goodPatJetsPFlow.ElectronEnergyFraction | 14.276 | 2.951 | 4.84 | 2.924 | 0.16% | -| !goodPatJetsPFlow.ElectronMultiplicity | 9.157 | 1.362 | 6.72 | 2.857 | 0.07% | -| !goodPatJetsPFlow.Energy | 14.274 | 10.933 | 1.31 | 2.861 | 0.60% | -| !goodPatJetsPFlow.EnergyRaw | 14.274 | 10.931 | 1.31 | 2.873 | 0.60% | -| !goodPatJetsPFlow.Eta | 14.274 | 7.294 | 1.96 | 2.850 | 0.40% | -| !goodPatJetsPFlow.JECUnc | 14.274 | 1.097 | 13.01 | 2.861 | 0.06% | -| !goodPatJetsPFlow.JetBProbabilityBTag | 14.276 | 7.222 | 1.98 | 2.912 | 0.39% | -| !goodPatJetsPFlow.JetProbabilityBTag | 14.275 | 6.776 | 2.11 | 2.908 | 0.37% | -| !goodPatJetsPFlow.L1OffJEC | 14.274 | 10.498 | 1.36 | 2.869 | 0.57% | -| !goodPatJetsPFlow.L2L3ResJEC | 14.274 | 1.097 | 13.01 | 2.877 | 0.06% | -| !goodPatJetsPFlow.L2RelJEC | 14.274 | 10.350 | 1.38 | 2.869 | 0.56% | -| !goodPatJetsPFlow.L3AbsJEC | 14.274 | 10.151 | 1.41 | 2.869 | 0.55% | -| !goodPatJetsPFlow.Mass | 14.274 | 6.878 | 2.08 | 2.854 | 0.38% | -| !goodPatJetsPFlow.MuonEnergyFraction | 14.275 | 1.851 | 7.71 | 2.908 | 0.10% | -| !goodPatJetsPFlow.MuonMultiplicity | 9.157 | 1.271 | 7.21 | 2.842 | 0.07% | -| !goodPatJetsPFlow.NConstituents | 9.156 | 2.550 | 3.59 | 2.830 | 0.14% | -| !goodPatJetsPFlow.NeutralEmEnergyFraction | 14.276 | 7.010 | 2.04 | 2.928 | 0.38% | -| !goodPatJetsPFlow.NeutralEmEnergyFractionRAW | 14.276 | 7.012 | 2.04 | 2.939 | 0.38% | -| !goodPatJetsPFlow.NeutralHadronEnergyFraction | 14.277 | 6.433 | 2.22 | 2.943 | 0.35% | -| !goodPatJetsPFlow.NeutralHadronEnergyFractionRAW | 14.277 | 6.436 | 2.22 | 2.955 | 0.35% | -| !goodPatJetsPFlow.NeutralHadronMultiplicity | 9.158 | 2.006 | 4.57 | 2.877 | 0.11% | -| !goodPatJetsPFlow.NeutralMultiplicity | 9.157 | 2.430 | 3.77 | 2.854 | 0.13% | -| !goodPatJetsPFlow.PartonFlavour | 9.156 | 2.147 | 4.27 | 2.830 | 0.12% | -| !goodPatJetsPFlow.PassLooseID | 9.156 | 1.064 | 8.61 | 2.822 | 0.06% | -| !goodPatJetsPFlow.PassTightID | 9.156 | 1.070 | 8.56 | 2.822 | 0.06% | -| !goodPatJetsPFlow.Phi | 14.274 | 7.324 | 1.95 | 2.850 | 0.40% | -| !goodPatJetsPFlow.PhotonEnergyFraction | 14.276 | 7.012 | 2.04 | 2.916 | 0.38% | -| !goodPatJetsPFlow.PhotonMultiplicity | 9.157 | 2.404 | 3.81 | 2.850 | 0.13% | -| !goodPatJetsPFlow.Pt | 14.273 | 6.899 | 2.07 | 2.846 | 0.38% | -| !goodPatJetsPFlow.PtRaw | 14.274 | 6.898 | 2.07 | 2.857 | 0.38% | -| !goodPatJetsPFlow.Px | 14.273 | 11.118 | 1.28 | 2.846 | 0.61% | -| !goodPatJetsPFlow.Py | 14.273 | 11.119 | 1.28 | 2.846 | 0.61% | -| !goodPatJetsPFlow.Pz | 14.273 | 11.135 | 1.28 | 2.846 | 0.61% | -| !goodPatJetsPFlow.SimpleSecondaryVertexHighEffBTag | 14.277 | 3.253 | 4.39 | 2.963 | 0.18% | -| !goodPatJetsPFlow.SimpleSecondaryVertexHighPurBTag | 14.277 | 2.670 | 5.35 | 2.963 | 0.15% | -| !goodPatJetsPFlow.TrackCountingHighEffBTag | 14.276 | 7.206 | 1.98 | 2.932 | 0.39% | -| !goodPatJetsPFlow.TrackCountingHighPurBTag | 14.276 | 6.950 | 2.05 | 2.932 | 0.38% | -| *Total* | 665.544 | 263.593 | 2.52 | 6486.155 | 14.37% | -%ENDTWISTY% - ----+++ patMETs -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *patMETs* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !patMETs.ET | 6.335 | 1.992 | 3.18 | 2.732 | 0.11% | -| !patMETs.ETUncorr | 6.336 | 1.992 | 3.18 | 2.756 | 0.11% | -| !patMETs.Ex | 6.335 | 3.159 | 2.01 | 2.732 | 0.17% | -| !patMETs.Ey | 6.335 | 3.159 | 2.01 | 2.732 | 0.17% | -| !patMETs.Phi | 6.335 | 2.095 | 3.02 | 2.736 | 0.11% | -| !patMETs.PhiUncorr | 6.336 | 2.095 | 3.02 | 2.760 | 0.11% | -| !patMETs.Significance | 6.336 | 0.681 | 9.30 | 2.771 | 0.04% | -| !patMETs.SumET | 6.335 | 3.095 | 2.05 | 2.744 | 0.17% | -| !patMETs.SumETUncorr | 6.336 | 3.091 | 2.05 | 2.768 | 0.17% | -| *Total* | 50.683 | 19.369 | 2.62 | 6487.380 | 1.06% | -%ENDTWISTY% - ----+++ patMETsPFlow -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *patMETsPFlow* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !patMETsPFlow.ET | 6.335 | 2.003 | 3.16 | 2.752 | 0.11% | -| !patMETsPFlow.ETUncorr | 6.336 | 2.003 | 3.16 | 2.775 | 0.11% | -| !patMETsPFlow.Ex | 6.335 | 3.166 | 2.00 | 2.752 | 0.17% | -| !patMETsPFlow.Ey | 6.335 | 3.166 | 2.00 | 2.752 | 0.17% | -| !patMETsPFlow.Phi | 6.336 | 2.089 | 3.03 | 2.756 | 0.11% | -| !patMETsPFlow.PhiUncorr | 6.336 | 2.089 | 3.03 | 2.779 | 0.11% | -| !patMETsPFlow.Significance | 6.337 | 3.147 | 2.01 | 2.791 | 0.17% | -| !patMETsPFlow.SumET | 6.336 | 3.093 | 2.05 | 2.764 | 0.17% | -| !patMETsPFlow.SumETUncorr | 6.336 | 3.094 | 2.05 | 2.787 | 0.17% | -| *Total* | 50.687 | 21.846 | 2.32 | 7591.911 | 1.19% | -%ENDTWISTY% - ----+++ selectedPatElectrons -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *selectedPatElectrons* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !selectedPatElectrons.CaloEnergy | 7.414 | 2.886 | 2.57 | 2.814 | 0.16% | -| !selectedPatElectrons.Charge | 5.726 | 1.035 | 5.53 | 2.779 | 0.06% | -| !selectedPatElectrons.DCotTheta | 7.414 | 4.155 | 1.78 | 2.811 | 0.23% | -| !selectedPatElectrons.DeltaEtaTrkSC | 7.414 | 2.660 | 2.79 | 2.826 | 0.15% | -| !selectedPatElectrons.DeltaPhiTrkSC | 7.414 | 2.757 | 2.69 | 2.826 | 0.15% | -| !selectedPatElectrons.Dist | 7.413 | 3.900 | 1.90 | 2.791 | 0.21% | -| !selectedPatElectrons.EcalIso | 7.414 | 2.959 | 2.51 | 2.803 | 0.16% | -| !selectedPatElectrons.EcalIso03 | 7.414 | 2.990 | 2.48 | 2.811 | 0.16% | -| !selectedPatElectrons.EcalIsoHeep | 7.414 | 2.990 | 2.48 | 2.818 | 0.16% | -| !selectedPatElectrons.Energy | 7.414 | 4.265 | 1.74 | 2.799 | 0.23% | -| !selectedPatElectrons.EoverP | 7.414 | 2.959 | 2.51 | 2.799 | 0.16% | -| !selectedPatElectrons.Eta | 7.413 | 3.036 | 2.44 | 2.787 | 0.17% | -| !selectedPatElectrons.GSFTrack.Charge | 5.727 | 1.036 | 5.53 | 2.814 | 0.06% | -| !selectedPatElectrons.GSFTrack.Eta | 7.414 | 4.354 | 1.70 | 2.822 | 0.24% | -| !selectedPatElectrons.GSFTrack.Phi | 7.414 | 4.359 | 1.70 | 2.822 | 0.24% | -| !selectedPatElectrons.GSFTrack.Pt | 7.414 | 4.270 | 1.74 | 2.818 | 0.23% | -| !selectedPatElectrons.GSFTrack.Theta | 7.415 | 4.294 | 1.73 | 2.830 | 0.23% | -| !selectedPatElectrons.GSFTrack.d0 | 7.414 | 4.307 | 1.72 | 2.818 | 0.23% | -| !selectedPatElectrons.HcalIso | 7.414 | 2.682 | 2.76 | 2.803 | 0.15% | -| !selectedPatElectrons.HcalIso03 | 7.414 | 2.484 | 2.99 | 2.811 | 0.14% | -| !selectedPatElectrons.HcalIsoD1Heep | 7.414 | 2.476 | 2.99 | 2.826 | 0.14% | -| !selectedPatElectrons.HcalIsoD2Heep | 7.414 | 1.138 | 6.51 | 2.826 | 0.06% | -| !selectedPatElectrons.HoE | 7.413 | 2.199 | 3.37 | 2.787 | 0.12% | -| !selectedPatElectrons.MissingHits | 5.726 | 0.922 | 6.21 | 2.799 | 0.05% | -| !selectedPatElectrons.PassID | 5.726 | 0.909 | 6.30 | 2.779 | 0.05% | -| !selectedPatElectrons.Phi | 7.413 | 3.066 | 2.42 | 2.787 | 0.17% | -| !selectedPatElectrons.Pt | 7.413 | 2.871 | 2.58 | 2.783 | 0.16% | -| !selectedPatElectrons.Px | 7.413 | 4.348 | 1.70 | 2.783 | 0.24% | -| !selectedPatElectrons.Py | 7.413 | 4.348 | 1.70 | 2.783 | 0.24% | -| !selectedPatElectrons.Pz | 7.413 | 4.357 | 1.70 | 2.783 | 0.24% | -| !selectedPatElectrons.SCEta | 7.413 | 4.351 | 1.70 | 2.795 | 0.24% | -| !selectedPatElectrons.SCPhi | 7.413 | 4.377 | 1.69 | 2.795 | 0.24% | -| !selectedPatElectrons.SCPt | 7.413 | 4.257 | 1.74 | 2.791 | 0.23% | -| !selectedPatElectrons.SCRawEnergy | 7.414 | 3.744 | 1.98 | 2.818 | 0.20% | -| !selectedPatElectrons.SigmaEtaEta | 7.414 | 2.860 | 2.59 | 2.818 | 0.16% | -| !selectedPatElectrons.SigmaIEtaIEta | 7.414 | 2.865 | 2.59 | 2.826 | 0.16% | -| !selectedPatElectrons.TrkIso | 7.414 | 2.552 | 2.90 | 2.799 | 0.14% | -| !selectedPatElectrons.TrkIso03 | 7.414 | 2.432 | 3.05 | 2.807 | 0.13% | -| !selectedPatElectrons.TrkIsoHeep | 7.414 | 2.432 | 3.05 | 2.814 | 0.13% | -| !selectedPatElectrons.Vertex.X | 7.414 | 2.682 | 2.76 | 2.807 | 0.15% | -| !selectedPatElectrons.Vertex.Y | 7.414 | 2.634 | 2.82 | 2.807 | 0.14% | -| !selectedPatElectrons.Vertex.Z | 7.414 | 3.073 | 2.41 | 2.807 | 0.17% | -| !selectedPatElectrons.VtxDistXY | 7.414 | 4.353 | 1.70 | 2.811 | 0.24% | -| !selectedPatElectrons.VtxDistZ | 7.414 | 4.349 | 1.70 | 2.807 | 0.24% | -| !selectedPatElectrons.VtxIndex | 5.726 | 0.895 | 6.40 | 2.787 | 0.05% | -| !selectedPatElectrons.closestCtfTrackRef | 5.727 | 1.740 | 3.29 | 2.826 | 0.09% | -| !selectedPatElectrons.dB | 7.413 | 4.284 | 1.73 | 2.783 | 0.23% | -| !selectedPatElectrons.eSeedClusterOverPout | 7.415 | 2.982 | 2.49 | 2.854 | 0.16% | -| !selectedPatElectrons.fbrem | 7.413 | 2.970 | 2.50 | 2.795 | 0.16% | -| !selectedPatElectrons.shFracInnerHits | 7.415 | 1.053 | 7.04 | 2.834 | 0.06% | -| *Total* | 353.151 | 149.011 | 2.37 | 6151.015 | 8.13% | -%ENDTWISTY% - ----+++ selectedPatElectronsLoosePFlow -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *selectedPatElectronsLoosePFlow* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !selectedPatElectronsLoosePFlow.CaloEnergy | 6.007 | 2.082 | 2.89 | 2.834 | 0.11% | -| !selectedPatElectronsLoosePFlow.Charge | 5.023 | 0.974 | 5.16 | 2.818 | 0.05% | -| !selectedPatElectronsLoosePFlow.DCotTheta | 6.007 | 2.814 | 2.13 | 2.830 | 0.15% | -| !selectedPatElectronsLoosePFlow.DeltaEtaTrkSC | 6.008 | 1.932 | 3.11 | 2.846 | 0.11% | -| !selectedPatElectronsLoosePFlow.DeltaPhiTrkSC | 6.008 | 1.977 | 3.04 | 2.846 | 0.11% | -| !selectedPatElectronsLoosePFlow.Dist | 6.006 | 2.632 | 2.28 | 2.811 | 0.14% | -| !selectedPatElectronsLoosePFlow.EcalIso | 6.007 | 2.122 | 2.83 | 2.822 | 0.12% | -| !selectedPatElectronsLoosePFlow.EcalIso03 | 6.007 | 2.136 | 2.81 | 2.830 | 0.12% | -| !selectedPatElectronsLoosePFlow.EcalIsoHeep | 6.007 | 2.136 | 2.81 | 2.838 | 0.12% | -| !selectedPatElectronsLoosePFlow.Energy | 6.007 | 2.934 | 2.05 | 2.818 | 0.16% | -| !selectedPatElectronsLoosePFlow.EoverP | 6.007 | 2.093 | 2.87 | 2.818 | 0.11% | -| !selectedPatElectronsLoosePFlow.Eta | 6.006 | 2.150 | 2.79 | 2.807 | 0.12% | -| !selectedPatElectronsLoosePFlow.GSFTrack.Charge | 5.024 | 0.975 | 5.15 | 2.854 | 0.05% | -| !selectedPatElectronsLoosePFlow.GSFTrack.Eta | 6.007 | 2.994 | 2.01 | 2.842 | 0.16% | -| !selectedPatElectronsLoosePFlow.GSFTrack.Phi | 6.007 | 2.996 | 2.00 | 2.842 | 0.16% | -| !selectedPatElectronsLoosePFlow.GSFTrack.Pt | 6.007 | 2.934 | 2.05 | 2.838 | 0.16% | -| !selectedPatElectronsLoosePFlow.GSFTrack.Theta | 6.008 | 2.956 | 2.03 | 2.850 | 0.16% | -| !selectedPatElectronsLoosePFlow.GSFTrack.d0 | 6.007 | 2.967 | 2.02 | 2.838 | 0.16% | -| !selectedPatElectronsLoosePFlow.HcalIso | 6.007 | 1.839 | 3.27 | 2.822 | 0.10% | -| !selectedPatElectronsLoosePFlow.HcalIso03 | 6.007 | 1.678 | 3.58 | 2.830 | 0.09% | -| !selectedPatElectronsLoosePFlow.HcalIsoD1Heep | 6.008 | 1.672 | 3.59 | 2.846 | 0.09% | -| !selectedPatElectronsLoosePFlow.HcalIsoD2Heep | 6.008 | 0.979 | 6.14 | 2.846 | 0.05% | -| !selectedPatElectronsLoosePFlow.HoE | 6.006 | 1.505 | 3.99 | 2.807 | 0.08% | -| !selectedPatElectronsLoosePFlow.MissingHits | 5.023 | 0.898 | 5.60 | 2.838 | 0.05% | -| !selectedPatElectronsLoosePFlow.PFGammaIso | 6.007 | 1.956 | 3.07 | 2.834 | 0.11% | -| !selectedPatElectronsLoosePFlow.PassID | 5.023 | 0.894 | 5.62 | 2.818 | 0.05% | -| !selectedPatElectronsLoosePFlow.PfChargedHadronIso | 6.008 | 2.016 | 2.98 | 2.865 | 0.11% | -| !selectedPatElectronsLoosePFlow.PfNeutralHadronIso | 6.008 | 1.521 | 3.95 | 2.865 | 0.08% | -| !selectedPatElectronsLoosePFlow.Phi | 6.006 | 2.159 | 2.78 | 2.807 | 0.12% | -| !selectedPatElectronsLoosePFlow.Pt | 6.006 | 2.075 | 2.90 | 2.803 | 0.11% | -| !selectedPatElectronsLoosePFlow.Px | 6.006 | 2.988 | 2.01 | 2.803 | 0.16% | -| !selectedPatElectronsLoosePFlow.Py | 6.006 | 2.987 | 2.01 | 2.803 | 0.16% | -| !selectedPatElectronsLoosePFlow.Pz | 6.006 | 2.992 | 2.01 | 2.803 | 0.16% | -| !selectedPatElectronsLoosePFlow.SCEta | 6.007 | 2.991 | 2.01 | 2.814 | 0.16% | -| !selectedPatElectronsLoosePFlow.SCPhi | 6.007 | 3.005 | 2.00 | 2.814 | 0.16% | -| !selectedPatElectronsLoosePFlow.SCPt | 6.006 | 2.929 | 2.05 | 2.811 | 0.16% | -| !selectedPatElectronsLoosePFlow.SCRawEnergy | 6.007 | 2.559 | 2.35 | 2.838 | 0.14% | -| !selectedPatElectronsLoosePFlow.SigmaEtaEta | 6.007 | 2.044 | 2.94 | 2.838 | 0.11% | -| !selectedPatElectronsLoosePFlow.SigmaIEtaIEta | 6.008 | 2.044 | 2.94 | 2.846 | 0.11% | -| !selectedPatElectronsLoosePFlow.TrkIso | 6.007 | 1.741 | 3.45 | 2.818 | 0.09% | -| !selectedPatElectronsLoosePFlow.TrkIso03 | 6.007 | 1.635 | 3.67 | 2.826 | 0.09% | -| !selectedPatElectronsLoosePFlow.TrkIsoHeep | 6.007 | 1.635 | 3.67 | 2.834 | 0.09% | -| !selectedPatElectronsLoosePFlow.Vertex.X | 6.007 | 1.963 | 3.06 | 2.826 | 0.11% | -| !selectedPatElectronsLoosePFlow.Vertex.Y | 6.007 | 1.937 | 3.10 | 2.826 | 0.11% | -| !selectedPatElectronsLoosePFlow.Vertex.Z | 6.007 | 2.170 | 2.77 | 2.826 | 0.12% | -| !selectedPatElectronsLoosePFlow.VtxDistXY | 6.007 | 2.990 | 2.01 | 2.830 | 0.16% | -| !selectedPatElectronsLoosePFlow.VtxDistZ | 6.007 | 2.988 | 2.01 | 2.826 | 0.16% | -| !selectedPatElectronsLoosePFlow.VtxIndex | 5.023 | 0.886 | 5.67 | 2.826 | 0.05% | -| !selectedPatElectronsLoosePFlow.closestCtfTrackRef | 5.024 | 1.410 | 3.56 | 2.865 | 0.08% | -| !selectedPatElectronsLoosePFlow.dB | 6.006 | 2.948 | 2.04 | 2.803 | 0.16% | -| !selectedPatElectronsLoosePFlow.eSeedClusterOverPout | 6.008 | 2.121 | 2.83 | 2.873 | 0.12% | -| !selectedPatElectronsLoosePFlow.fbrem | 6.007 | 2.106 | 2.85 | 2.814 | 0.11% | -| !selectedPatElectronsLoosePFlow.shFracInnerHits | 6.008 | 0.991 | 6.06 | 2.854 | 0.05% | -| *Total* | 306.464 | 110.976 | 2.76 | 4514.554 | 6.05% | -%ENDTWISTY% - ----+++ selectedPatMuons -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *selectedPatMuons* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !selectedPatMuons.Charge | 4.409 | 0.871 | 5.06 | 2.764 | 0.05% | -| !selectedPatMuons.CocktailCharge | 4.410 | 0.872 | 5.06 | 2.795 | 0.05% | -| !selectedPatMuons.CocktailEta | 4.781 | 1.679 | 2.85 | 2.783 | 0.09% | -| !selectedPatMuons.CocktailGlobalChi2 | 4.782 | 1.362 | 3.51 | 2.811 | 0.07% | -| !selectedPatMuons.CocktailP | 4.781 | 1.652 | 2.89 | 2.775 | 0.09% | -| !selectedPatMuons.CocktailPhi | 4.781 | 1.679 | 2.85 | 2.783 | 0.09% | -| !selectedPatMuons.CocktailPt | 4.781 | 1.652 | 2.89 | 2.779 | 0.09% | -| !selectedPatMuons.CocktailTrkD0 | 4.782 | 1.668 | 2.87 | 2.791 | 0.09% | -| !selectedPatMuons.CocktailTrkD0Error | 4.782 | 1.645 | 2.91 | 2.811 | 0.09% | -| !selectedPatMuons.CocktailTrkDz | 4.782 | 1.682 | 2.84 | 2.791 | 0.09% | -| !selectedPatMuons.CocktailTrkDzError | 4.782 | 1.648 | 2.90 | 2.811 | 0.09% | -| !selectedPatMuons.CocktailTrkHits | 4.410 | 1.024 | 4.31 | 2.799 | 0.06% | -| !selectedPatMuons.EcalIso | 4.781 | 1.325 | 3.61 | 2.768 | 0.07% | -| !selectedPatMuons.EcalIso03 | 4.781 | 1.325 | 3.61 | 2.775 | 0.07% | -| !selectedPatMuons.Energy | 4.781 | 1.654 | 2.89 | 2.764 | 0.09% | -| !selectedPatMuons.Eta | 4.780 | 1.392 | 3.43 | 2.752 | 0.08% | -| !selectedPatMuons.GlobalChi2 | 4.781 | 1.365 | 3.50 | 2.779 | 0.07% | -| !selectedPatMuons.HOIso | 4.781 | 0.845 | 5.66 | 2.760 | 0.05% | -| !selectedPatMuons.HcalIso | 4.781 | 1.214 | 3.94 | 2.768 | 0.07% | -| !selectedPatMuons.HcalIso03 | 4.781 | 1.214 | 3.94 | 2.775 | 0.07% | -| !selectedPatMuons.P | 4.780 | 1.651 | 2.90 | 2.744 | 0.09% | -| !selectedPatMuons.Phi | 4.780 | 1.394 | 3.43 | 2.752 | 0.08% | -| !selectedPatMuons.Pt | 4.780 | 1.356 | 3.52 | 2.748 | 0.07% | -| !selectedPatMuons.Px | 4.780 | 1.674 | 2.85 | 2.748 | 0.09% | -| !selectedPatMuons.Py | 4.780 | 1.675 | 2.85 | 2.748 | 0.09% | -| !selectedPatMuons.Pz | 4.780 | 1.677 | 2.85 | 2.748 | 0.09% | -| !selectedPatMuons.TrkD0 | 4.781 | 1.667 | 2.87 | 2.760 | 0.09% | -| !selectedPatMuons.TrkD0Error | 4.781 | 1.643 | 2.91 | 2.779 | 0.09% | -| !selectedPatMuons.TrkDz | 4.781 | 1.681 | 2.84 | 2.760 | 0.09% | -| !selectedPatMuons.TrkDzError | 4.781 | 1.648 | 2.90 | 2.779 | 0.09% | -| !selectedPatMuons.TrkHits | 4.409 | 0.954 | 4.62 | 2.768 | 0.05% | -| !selectedPatMuons.TrkIso | 4.781 | 1.262 | 3.79 | 2.764 | 0.07% | -| !selectedPatMuons.TrkIso03 | 4.781 | 1.262 | 3.79 | 2.771 | 0.07% | -| !selectedPatMuons.VtxDistXY | 4.781 | 1.675 | 2.85 | 2.775 | 0.09% | -| !selectedPatMuons.VtxDistZ | 4.781 | 1.676 | 2.85 | 2.771 | 0.09% | -| !selectedPatMuons.VtxIndex | 4.409 | 0.832 | 5.30 | 2.771 | 0.05% | -| !selectedPatMuons.isGoodGlobalMuon | 4.410 | 0.830 | 5.31 | 2.803 | 0.05% | -| *Total* | 170.260 | 51.455 | 3.31 | 4276.889 | 2.81% | -%ENDTWISTY% - ----+++ selectedPatMuonsLoosePFlow -%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}% -| *selectedPatMuonsLoosePFlow* |||||| -| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* | -| !selectedPatMuonsLoosePFlow.Charge | 4.177 | 0.800 | 5.22 | 2.783 | 0.04% | -| !selectedPatMuonsLoosePFlow.CocktailCharge | 4.178 | 0.801 | 5.22 | 2.814 | 0.04% | -| !selectedPatMuonsLoosePFlow.CocktailEta | 4.316 | 1.129 | 3.82 | 2.803 | 0.06% | -| !selectedPatMuonsLoosePFlow.CocktailGlobalChi2 | 4.317 | 0.993 | 4.35 | 2.830 | 0.05% | -| !selectedPatMuonsLoosePFlow.CocktailP | 4.316 | 1.116 | 3.87 | 2.795 | 0.06% | -| !selectedPatMuonsLoosePFlow.CocktailPhi | 4.316 | 1.130 | 3.82 | 2.803 | 0.06% | -| !selectedPatMuonsLoosePFlow.CocktailPt | 4.316 | 1.117 | 3.86 | 2.799 | 0.06% | -| !selectedPatMuonsLoosePFlow.CocktailTrkD0 | 4.316 | 1.124 | 3.84 | 2.811 | 0.06% | -| !selectedPatMuonsLoosePFlow.CocktailTrkD0Error | 4.317 | 1.112 | 3.88 | 2.830 | 0.06% | -| !selectedPatMuonsLoosePFlow.CocktailTrkDz | 4.316 | 1.129 | 3.82 | 2.811 | 0.06% | -| !selectedPatMuonsLoosePFlow.CocktailTrkDzError | 4.317 | 1.116 | 3.87 | 2.830 | 0.06% | -| !selectedPatMuonsLoosePFlow.CocktailTrkHits | 4.178 | 0.862 | 4.85 | 2.818 | 0.05% | -| !selectedPatMuonsLoosePFlow.EcalIso | 4.315 | 0.929 | 4.64 | 2.787 | 0.05% | -| !selectedPatMuonsLoosePFlow.EcalIso03 | 4.316 | 0.930 | 4.64 | 2.795 | 0.05% | -| !selectedPatMuonsLoosePFlow.Energy | 4.315 | 1.117 | 3.86 | 2.783 | 0.06% | -| !selectedPatMuonsLoosePFlow.Eta | 4.315 | 1.001 | 4.31 | 2.771 | 0.05% | -| !selectedPatMuonsLoosePFlow.GlobalChi2 | 4.316 | 0.992 | 4.35 | 2.799 | 0.05% | -| !selectedPatMuonsLoosePFlow.HOIso | 4.315 | 0.777 | 5.55 | 2.779 | 0.04% | -| !selectedPatMuonsLoosePFlow.HcalIso | 4.315 | 0.838 | 5.15 | 2.787 | 0.05% | -| !selectedPatMuonsLoosePFlow.HcalIso03 | 4.316 | 0.838 | 5.15 | 2.795 | 0.05% | -| !selectedPatMuonsLoosePFlow.P | 4.315 | 1.116 | 3.87 | 2.764 | 0.06% | -| !selectedPatMuonsLoosePFlow.PFGammaIso | 4.316 | 0.904 | 4.77 | 2.799 | 0.05% | -| !selectedPatMuonsLoosePFlow.PfChargedHadronIso | 4.317 | 0.919 | 4.70 | 2.830 | 0.05% | -| !selectedPatMuonsLoosePFlow.PfNeutralHadronIso | 4.317 | 0.819 | 5.27 | 2.830 | 0.04% | -| !selectedPatMuonsLoosePFlow.Phi | 4.315 | 1.002 | 4.31 | 2.771 | 0.05% | -| !selectedPatMuonsLoosePFlow.Pt | 4.315 | 0.989 | 4.36 | 2.768 | 0.05% | -| !selectedPatMuonsLoosePFlow.Px | 4.315 | 1.125 | 3.84 | 2.768 | 0.06% | -| !selectedPatMuonsLoosePFlow.Py | 4.315 | 1.125 | 3.84 | 2.768 | 0.06% | -| !selectedPatMuonsLoosePFlow.Pz | 4.315 | 1.126 | 3.83 | 2.768 | 0.06% | -| !selectedPatMuonsLoosePFlow.TrkD0 | 4.315 | 1.123 | 3.84 | 2.779 | 0.06% | -| !selectedPatMuonsLoosePFlow.TrkD0Error | 4.316 | 1.110 | 3.89 | 2.799 | 0.06% | -| !selectedPatMuonsLoosePFlow.TrkDz | 4.315 | 1.128 | 3.82 | 2.779 | 0.06% | -| !selectedPatMuonsLoosePFlow.TrkDzError | 4.316 | 1.114 | 3.87 | 2.799 | 0.06% | -| !selectedPatMuonsLoosePFlow.TrkHits | 4.177 | 0.836 | 5.00 | 2.787 | 0.05% | -| !selectedPatMuonsLoosePFlow.TrkIso | 4.315 | 0.871 | 4.95 | 2.783 | 0.05% | -| !selectedPatMuonsLoosePFlow.TrkIso03 | 4.315 | 0.871 | 4.95 | 2.791 | 0.05% | -| !selectedPatMuonsLoosePFlow.VtxDistXY | 4.316 | 1.125 | 3.84 | 2.795 | 0.06% | -| !selectedPatMuonsLoosePFlow.VtxDistZ | 4.315 | 1.125 | 3.84 | 2.791 | 0.06% | -| !selectedPatMuonsLoosePFlow.VtxIndex | 4.177 | 0.784 | 5.32 | 2.791 | 0.04% | -| !selectedPatMuonsLoosePFlow.isGoodGlobalMuon | 4.178 | 0.785 | 5.32 | 2.822 | 0.04% | -%ENDTWISTY% ----+++ Biggest consumers -| *Name* | *Compressed size (MB)* | *Fraction of file size* | -| !GenParticle.Py | 51.942 | 2.833% | -| !GenParticle.Px | 51.941 | 2.833% | -| !GenParticle.Pz | 51.596 | 2.814% | -| !GenParticle.Energy | 50.883 | 2.775% | -| !GenParticle.Eta | 32.061 | 1.748% | -| !GenParticle.Phi | 31.726 | 1.730% | -| !GenParticle.Pt | 30.338 | 1.654% | -| !GenJet.Pz | 13.966 | 0.762% | -| !GenJet.Py | 13.951 | 0.761% | -| !GenJet.Px | 13.951 | 0.761% | diff --git a/scripts_old/mergeROOTFilesWithCompression.py b/scripts_old/mergeROOTFilesWithCompression.py deleted file mode 100644 index 07a1ea4a..00000000 --- a/scripts_old/mergeROOTFilesWithCompression.py +++ /dev/null @@ -1,140 +0,0 @@ -#!/env - -import os -import sys -from fileInfo import * -from optparse import OptionParser -import time - -skipGroupsUntil = 0 -startWithGroup = 1 -sizePerFile = 1024 * 1024 * 1024 * 2 -timeCut = 0 - -def groupFilesToSize(files, finalSize=1024 * 1024 * 1024 * 2):# < 2 GB - getsize = os.path.getsize - groupSize = 0 - groups = [[]] - groupIndex = 0 - for file in sorted(files): - if os.path.getmtime(file) < timeCut: - continue - size = getsize(file) - if (groupSize + size) > finalSize:#start new group - groupIndex += 1 - groups.append([]) - groupSize = 0 - groupSize += size - groups[groupIndex].append(file) - return groups - -def fuseFiles(groupedFiles): - group = startWithGroup - - for files in groupedFiles: - outputFile = getProcess(files[0]) + '_merged_%03d' % group - outputFile += '.root' - command = 'hadd -f7 %s ' % outputFile - for file in files: - command += file + ' ' - command.rstrip(' ') - print '=' * 100 - print '*' * 100 - if group > skipGroupsUntil: - print 'Executing:' - else: - print 'Skipping:' - print command - print '*' * 100 - print '=' * 100 - if group > skipGroupsUntil: - os.system(command) - group += 1 - -def getProcess(filepath): - file = filepath.split('/')[-1] - a = file.split('_') - process = 'default' - if len(a) <= 5: - process = a[0] + '_' + a[1] - else: - process = a[0] - for token in a[1:-3]: - process += '_' + token - return process - - -def removeUsedFiles(allFiles, usedFiles): - allFiles = set(allFiles) - usedFiles = set(usedFiles) - return allFiles.difference(usedFiles) - -def readMergeLog(mergeLog): - usedFiles = [] - mergeLog = file(mergeLog) - lastOutputFileNumber = 0 - for line in mergeLog.readlines(): - if line.startswith('Source file'): - input = line.split(' ') - inputfile = input[3].replace('\n', '') - usedFiles.append(inputfile) - - if line.startswith('hadd'): - input = line.split(' ') - outputfile = input[2] - number = outputfile.replace('.root', '') - number = number.split('_')[-1] - lastOutputFileNumber = int(number) - global startWithGroup - startWithGroup = lastOutputFileNumber + 1 - return usedFiles - -if __name__ == "__main__": - - parser = OptionParser() - parser.add_option("-s", "--size", dest="sizePerFile", default=1024 * 2, - help="Set maximum size of output files in MB. Default 2 GB (2048 MB)") - parser.add_option("-t", "--time", dest="timeCut", default='01 01 2000', - help="Cut on creation time. Only consider files for merging after a certain date. Format: DD MM YYYY. Default: 01 Jan 2000") - parser.add_option("-c", "--continue", - action="store_true", dest="continue", default=False, - help="Continue merging in the current directory. Merge log must be specified!") - parser.add_option("-l", "--log", dest="mergeLog", default='merge.log', - help="Merge log to be used for continuation.") - - (options, args) = parser.parse_args() - sizePerFile = 1024 * 1024 * options.sizePerFile - timeCut = time.mktime(time.strptime(options.timeCut, '%d %m %Y')) - - continueLastMerge = False - allButUsedFiles = [] - groupedFiles = [] - - args = sys.argv - if not len(args) >= 2: - print "Please specify a folder to merge files in." - sys.exit() - - path = sys.argv[1] - files = getROOTFiles(path) - uniqueFiles = getUniqueFiles(files) - - if len(args) == 3: - continueLastMerge = True - mergeLog = sys.argv[2] - usedFiles = readMergeLog(mergeLog) - allButUsedFiles = removeUsedFiles(uniqueFiles, usedFiles) - - if not continueLastMerge: - groupedFiles = groupFilesToSize(uniqueFiles, sizePerFile) - else: - groupedFiles = groupFilesToSize(allButUsedFiles, sizePerFile) - - print 'Total number of files:', len(files) - print 'Total number of unique files:', len(uniqueFiles) - if continueLastMerge: - print 'Total number of remaining files:', len(allButUsedFiles) - print 'Process recognised:', getProcess(files[0]) - print 'Number of merged files to be produced:', len(groupedFiles) - - fuseFiles(groupedFiles) diff --git a/scripts_old/nTupleInfo.py b/scripts_old/nTupleInfo.py deleted file mode 100644 index 4cbba34d..00000000 --- a/scripts_old/nTupleInfo.py +++ /dev/null @@ -1,136 +0,0 @@ -''' -Created on Mar 5, 2011 - -@author: lkreczko -''' -from __future__ import division -from ROOT import * -import sys, os -from math import sqrt - -def getBranchInfo(listOfBranches): - branches = [] - bapp = branches.append - for branch in listOfBranches: - info = {} - info['name'] = branch.GetName() - info['totalSize'] = branch.GetTotalSize() - info['totalBytes'] = branch.GetTotBytes() - info['zippedBytes'] = branch.GetZipBytes() - bapp(info) - return branches - - -def printTwikiTable(branches, filesize): - - prevObj = ' ' - info = {} - info['totalSize'] = 0 - info['zippedBytes'] = 0 - info['totalBytes'] = 0 - for branch in sorted(branches): - name = branch['name'] - size = branch['totalSize'] / 1024 / 1024 #MB - zipSize = branch['zippedBytes'] / 1024 / 1024#MB - compression = size / zipSize - totalBytes = branch['totalBytes'] / 1024 / 1024#MB - buffer = (size - totalBytes) * 1024#KB - fraction = zipSize / filesize * 100#% - - obj = ' ' - if '.' in name: - obj = name.split('.')[0] + '.' - else: - obj = name.capitalize() - - if not name.startswith(prevObj): - if '.' in prevObj: - Osize = info['totalSize'] - OzipSize = info['zippedBytes'] - Ocompression = Osize / OzipSize - Obuffer = (size - info['totalBytes'] / 1024 / 1024) * 1024#KB - Ofraction = OzipSize / filesize * 100 - - print '| *Total* | %.3f | %.3f | %.2f | %.3f | %.2f%% |' % (Osize, OzipSize, Ocompression, Obuffer, Ofraction) - print '%ENDTWISTY%' - print - #print summary - print '---+++ %s' % obj.replace('.', '') - print '%TWISTY{mode="div" showlink="Show " hidelink="Hide " firststart="hide" showimgright="%ICONURLPATH{toggleopen-small}%" hideimgright="%ICONURLPATH{toggleclose-small}%"}%' - print '| *%s* ||||||' % obj.replace('.', '') - print '| *Name* | *Total Size (MB)* | *Compressed size (MB)* | *compression factor* | *Buffer (KB)* | *Fraction of file size* |' - info['totalSize'] = 0 - info['zippedBytes'] = 0 - info['totalBytes'] = 0 - else: - info['totalSize'] += size - info['zippedBytes'] += zipSize - info['totalBytes'] += totalBytes - print '| !%s | %.3f | %.3f | %.2f | %.3f | %.2f%% |' % (name, size, zipSize, compression, buffer, fraction) - prevObj = obj - print '%ENDTWISTY%' - -def printBiggestConsumers(branches, filesize): - consumers = [] - for branch in sorted(branches): - consumer = {} - zipSize = branch['zippedBytes'] / 1024 / 1024#MB - fraction = zipSize / filesize * 100#% - consumer[branch['zippedBytes']] = branch - consumers.append(consumer) - top = 10 - current = 1 - - print '| *Name* | *Compressed size (MB)* | *Fraction of file size* |' - for consumer in sorted(consumers, reverse=True): - if current > top: - break - - current += 1 - branch = consumer[consumer.keys()[0]] - zipSize = branch['zippedBytes'] / 1024 / 1024#MB - print '| !%s | %.3f | %.3f%% |' %(branch['name'], zipSize, zipSize / filesize * 100)#%) -# print branch['name'], zipSize, zipSize / filesize * 100#% - -def getTriggers(chain): - for event in chain: - triggers = event.__getattr__("Trigger.HLTNames") - for trigger in triggers: - if not 'not found' in trigger: - print ' * ' + trigger - break - -if __name__ == '__main__': - gROOT.SetBatch(1); - chain = TChain("rootTupleTree/tree"); - filesize = 0 - - if len(sys.argv) < 2: - print 'wrong usage' - - files = sys.argv[1:] - add = chain.Add - size = os.path.getsize - - for file in files: - add(file) - filesize += size(file) - - filesize = filesize/ 1024 / 1024#MB - - branches = getBranchInfo(chain.GetListOfBranches()) - numberOfEvents = chain.GetEntries() - if '_data_' in files[0]: - print '---++ DATA content' - else: - print '---++ MC content' - - sizePerEvent = filesize/numberOfEvents*1024 - print 'Size of event: %.3f KB +- %.3f' % (sizePerEvent, 1/sqrt(numberOfEvents)*sizePerEvent) - printTwikiTable(branches, filesize) - - print '---+++ Biggest consumers' - printBiggestConsumers(branches, filesize) - - print '---+++ Available Triggers' - getTriggers(chain) diff --git a/scripts_old/plotMttbar.py b/scripts_old/plotMttbar.py deleted file mode 100644 index b5f5cf74..00000000 --- a/scripts_old/plotMttbar.py +++ /dev/null @@ -1,915 +0,0 @@ -from __future__ import division -from numpy import arange -from tdrStyle import * -from ROOT import * -from ROOT import kAzure, kYellow, kViolet, kRed, gROOT, kMagenta, kGreen, TLegend, THStack, TCanvas, gStyle, kGray, TH1F, gPad -#from QCDEstimation import getQCDEstimate#, estimateQCDFor -import QCDEstimation -import sys -sys.path.insert(0, '../python/') -from DataSetInfo_8TeV import * - -import HistPlotter -import HistGetter -import inputFiles - -from optparse import OptionParser -canvases = [] -scanvases = [] -setLogY = False -normalise = False -drawQCDError = False -custom_suffix = '' -#custom_suffix = '68000mb' -#custom_suffix = '64600mb' -#custom_suffix = '71400mb' -used_data = 'SingleMuon' -def plotMttbar(): - global used_data - saveAs = HistPlotter.saveAs - savePath = "/storage/TopQuarkGroup/results/plots/2012_v9a" - - performRescale = False - HistPlotter.setStyle() - lumi = 5814#5050.0#1959.75#1611.95 - oldLumi = 10000#5050#/(0.95**2) -# scale = 0.15#lumi / oldLumi; - - outputFormats = [ - 'pdf' - ] - reverseMCOrder = False -# qcdFromData = 'topReconstruction/backgroundShape/mttbar_conversions_withMETAndAsymJets_0orMoreBtag' - - hists = []; - ttbarUncertainty = 0.1 - - - hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/Electron/electron_AbsEta') - hists.append('TTbarPlusMetAnalysis/EPlusJets/QCDConversions/Electron/electron_AbsEta') - hists.append('TTbarPlusMetAnalysis/EPlusJets/QCD non iso e+jets/Electron/electron_AbsEta') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/QCD non iso e+jets, non iso trigger/Electron/electron_AbsEta') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/QCDAntiID/Electron/electron_AbsEta') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/QCDNoIsoNoID/Electron/electron_AbsEta') -# - hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/Electron/electron_pT') - hists.append('TTbarPlusMetAnalysis/EPlusJets/QCDConversions/Electron/electron_pT') - hists.append('TTbarPlusMetAnalysis/EPlusJets/QCD non iso e+jets/Electron/electron_pT') -# -# hists.append('TTbarPlusMetAnalysis/EPlusJets/QCD non iso e+jets/Electron/electron_pfIsolation_03') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03') -# -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/BinnedMETAnalysis/Electron_patType1CorrectedPFMet_bin_0-25/electron_AbsEta') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/BinnedMETAnalysis/Electron_patType1CorrectedPFMet_bin_25-45/electron_AbsEta') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/BinnedMETAnalysis/Electron_patType1CorrectedPFMet_bin_45-70/electron_AbsEta') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/BinnedMETAnalysis/Electron_patType1CorrectedPFMet_bin_70-100/electron_AbsEta') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/BinnedMETAnalysis/Electron_patType1CorrectedPFMet_bin_100-inf/electron_AbsEta') -# -# -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/bjet_invariant_mass') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/patType1CorrectedPFMet/MET') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/patType1CorrectedPFMet/MET_phi') -# - hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/patMETsPFlow/MET') - hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/patMETsPFlow/MET_phi') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/patType1p2CorrectedPFMet/MET') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/patType1p2CorrectedPFMet/MET_phi') -# -# hists.append('TTbarPlusMetAnalysis/EPlusJets/QCDConversions/MET/patType1CorrectedPFMet/MET') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/QCD non iso e+jets/MET/patType1CorrectedPFMet/MET') -## -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/patType1CorrectedPFMet/Transverse_Mass') -# hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/MET/patType1CorrectedPFMet/Angle_lepton_MET') -# -# hists.append('MttbarAnalysis/ElectronPlusJets/Ref selection/FourJetChi2/m3') -# hists.append('MttbarAnalysis/ElectronPlusJets/Ref selection/FourJetChi2/hadronicTopMass') -# hists.append('MttbarAnalysis/ElectronPlusJets/Ref selection/FourJetChi2/hadronicWMass') - - hists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/Jets/N_Jets') - - hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/Muon/muon_AbsEta') - hists.append('TTbarPlusMetAnalysis/MuPlusJets/QCD non iso mu+jets/Muon/muon_AbsEta') -## -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/BinnedMETAnalysis/Muon_patType1CorrectedPFMet_bin_0-25/muon_AbsEta') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/BinnedMETAnalysis/Muon_patType1CorrectedPFMet_bin_25-45/muon_AbsEta') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/BinnedMETAnalysis/Muon_patType1CorrectedPFMet_bin_45-70/muon_AbsEta') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/BinnedMETAnalysis/Muon_patType1CorrectedPFMet_bin_70-100/muon_AbsEta') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/BinnedMETAnalysis/Muon_patType1CorrectedPFMet_bin_100-inf/muon_AbsEta') -### -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/bjet_invariant_mass') - hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/patMETsPFlow/MET') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/patType1CorrectedPFMet/MET') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/patType1p2CorrectedPFMet/MET') - hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/patMETsPFlow/MET_phi') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/patType1CorrectedPFMet/MET_phi') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/patType1p2CorrectedPFMet/MET_phi') -# -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/QCD non iso mu+jets/MET/patMETsPFlow/MET') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/QCD non iso mu+jets/MET/patType1CorrectedPFMet/MET') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/QCD non iso mu+jets/MET/patType1p2CorrectedPFMet/MET') -## -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/QCD non iso mu+jets/Muon/muon_pfIsolation_04') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/QCD mu+jets PFRelIso/Muon/muon_pfIsolation_04') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/patType1CorrectedPFMet/Transverse_Mass') -# hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/MET/patType1CorrectedPFMet/Angle_lepton_MET') -# -# hists.append('MttbarAnalysis/MuonPlusJets/Ref selection/FourJetChi2/m3') -# hists.append('MttbarAnalysis/MuonPlusJets/Ref selection/FourJetChi2/hadronicTopMass') -# hists.append('MttbarAnalysis/MuonPlusJets/Ref selection/FourJetChi2/hadronicWMass') - hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/Jets/N_Jets') - hists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/Muon/muon_pT') - - - files = inputFiles.files - hists = HistGetter.getHistsFromFiles(hists, files, bJetBins=[ -# '0orMoreBtag', -# '0btag', -# '1btag', - '2orMoreBtags', -# '4orMoreBtags' - ]) - otherHists = [] - otherHists.append('EventCount/TTbarMuPlusJetsRefSelection') - otherHists.append('EventCount/TTbarEplusJetsRefSelection') - otherHists.append('EventCount/TTbarMuPlusJetsRefSelectionUnweighted') - otherHists.append('EventCount/TTbarEplusJetsRefSelectionUnweighted') -# otherHists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/Vertices/nVertex') -# otherHists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/Vertices/nVertex_reweighted') -# -# otherHists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/N_BJets') -# otherHists.append('TTbarPlusMetAnalysis/EPlusJets/Ref selection/N_BJets_reweighted') - - -# otherHists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/Vertices/nVertex') -# otherHists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/Vertices/nVertex_reweighted') -# -# otherHists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/N_BJets') -# otherHists.append('TTbarPlusMetAnalysis/MuPlusJets/Ref selection/N_BJets_reweighted') - - - if len(otherHists) > 0: - otherHists = HistGetter.getHistsFromFiles(otherHists, files) - hists = HistGetter.joinHistogramDictionaries([hists, - otherHists]) - gcd = gROOT.cd - - reverseMCOrdertmp = reverseMCOrder - for histname in hists[hists.keys()[0]]: - reverseMCOrder = reverseMCOrdertmp - print '=' * 70 - print 'Plotting:', histname - gcd() - if 'MuPlusJets' in histname or 'Muon' in histname: - used_data = 'SingleMu' - else: - used_data = 'SingleElectron' - hist_data = hists[used_data][histname] - - for dataset in hists: - if not 'Single' in dataset: - scale = lumi * datasetInfo[dataset]['cross-section']/datasetInfo[dataset]['NumberOfProcessedEvents'] -# print dataset, '[', histname, '] is scaled by ', scale - hists[dataset][histname].Scale(scale) - - hist_ttbar = hists['TTJet'][histname] - #hist_wjets = hists['WJetsToLNu'][histname] - hist_wjets = hists['W1Jet'][histname] - hist_wjets += hists['W2Jets'][histname] - hist_wjets += hists['W3Jets'][histname] - hist_wjets += hists['W4Jets'][histname] - #hist_zjets = hists['DYJetsToLL'][histname] - hist_zjets = hists['DY1JetsToLL'][histname] - hist_zjets += hists['DY2JetsToLL'][histname] - hist_zjets += hists['DY3JetsToLL'][histname] - hist_zjets += hists['DY4JetsToLL'][histname] - -# hist_muQCD = hists['QCD_Pt-20_MuEnrichedPt-15'][histname] - hist_muQCD = hists['QCD_Pt-15to20_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-20to30_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-30to50_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-50to80_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-80to120_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-120to170_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-170to300_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-300to470_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-470to600_MuEnrichedPt5'][histname] -# hist_muQCD += hists['QCD_Pt-600to800_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-800to1000_MuEnrichedPt5'][histname] - hist_muQCD += hists['QCD_Pt-1000_MuEnrichedPt5'][histname] - hist_bce1 = hists['QCD_Pt_20_30_BCtoE'][histname] - hist_bce2 = hists['QCD_Pt_30_80_BCtoE'][histname] - hist_bce3 = hists['QCD_Pt_80_170_BCtoE'][histname] - hist_bce4 = hists['QCD_Pt_170_250_BCtoE'][histname] - hist_bce5 = hists['QCD_Pt_250_350_BCtoE'][histname] - hist_bce6 = hists['QCD_Pt_350_BCtoE'][histname] - hist_enri1 = hists['QCD_Pt_20_30_EMEnriched'][histname] - hist_enri2 = hists['QCD_Pt_30_80_EMEnriched'][histname] - hist_enri3 = hists['QCD_Pt_80_170_EMEnriched'][histname] - hist_enri4 = hists['QCD_Pt_170_250_EMEnriched'][histname] - hist_enri5 = hists['QCD_Pt_250_350_EMEnriched'][histname] - hist_enri6 = hists['QCD_Pt_350_EMEnriched'][histname] - hist_pj4 = hists['GJets_HT-200To400'][histname] - hist_pj5 = hists['GJets_HT-400ToInf'][histname] - hist_singleTop = hists['T_tW-channel'][histname] + hists['T_t-channel'][histname] + hists['T_s-channel'][histname] - hist_singleTop += hists['Tbar_t-channel'][histname] + hists['Tbar_s-channel'][histname] + hists['Tbar_tW-channel'][histname] - - #hist_diboson = hists['ww'][histname] + hists['wz'][histname] + hists['zz'][histname] - -# hist_ttbarZ = hists['TTbarZIncl'][histname] -# hist_ttbarW = hists['TTbarInclWIncl'][histname] - - hist_qcd = hist_bce1 + hist_bce2 + hist_bce3 + hist_bce4 + hist_bce5 + hist_bce6 - hist_qcd += hist_enri1 + hist_enri2 + hist_enri3 + hist_enri4 + hist_enri5 + hist_enri6 - hist_qcd += hist_pj4 + hist_pj5 - - nqcd = hist_qcd.Integral(); - shapeErrorHist = None - errorHist = None - relativeQCDEstimationError = 0 - #TODO: fix this for muon+jets - if 'EPlusJets' in histname or 'Electron' in histname: - qcdFromMCPlots = 'QCD' in histname or 'Vertices' in histname or 'jets' in histname.split('/')[-1].lower() or 'bjet_invariant_mass' in histname - if ('MttbarAnalysis' in histname or 'TTbarPlusMetAnalysis' in histname): - qcdRateEstimate = 'TTbarPlusMetAnalysis/EPlusJets/QCD e+jets PFRelIso/Electron/electron_pfIsolation_03' - currentBin = HistPlotter.getBjetBin(histname) - estimate, err = QCDEstimation.getQCDEstimate(files[used_data], - bjetBin=currentBin, - histogramForEstimation=qcdRateEstimate, - function='expo') - if not estimate == 0: - relativeQCDEstimationError = err / estimate - print 'Estimated QCD background: %.1f +- %.1f' % (estimate, err) - if(hist_qcd.Integral() > 0 and estimate >= 0): - hist_qcd.Scale(estimate / hist_qcd.Integral()) - - if not qcdFromMCPlots:#take QCD shape from data - currentBin = HistPlotter.getBjetBin(histname) - qcdShapeFromData = histname.replace('Ref selection', 'QCDConversions') - qcdShapeFromData = qcdShapeFromData.replace(currentBin, '0btag') - qcdShapeComparison = histname.replace('Ref selection', 'QCD non iso e+jets') - qcdShapeComparison = qcdShapeComparison.replace(currentBin, '0btag') - - print "Taking QCD shape from DATA (%s)" % qcdShapeFromData - qcdHists = HistGetter.getHistsFromFiles([qcdShapeFromData], {'data':files[used_data]}) - - nQCD = hist_qcd.Integral() - hist_qcd = qcdHists['data'][qcdShapeFromData] - nShape = hist_qcd.Integral() - if nShape > 0: - hist_qcd.Scale(nQCD / nShape) - files['data'] = files['SingleElectron'] - shapeErrorHist = QCDEstimation.getShapeErrorHistogram(files, - histogramForShape=qcdShapeFromData, - histogramForComparison=qcdShapeComparison) - - - - if 'MuPlusJets' in histname or 'Muon' in histname: - nQCD = hist_muQCD.Integral() - #scale by factor, TODO: implement on-the-fly scale factor - nMuQCD = nQCD*1.21 - print 'Estimated QCD background: %.1f' % nMuQCD - #get template from anti-isolated region - qcdFromMCPlots = 'QCD' in histname or 'Vertices' in histname or 'jets' in histname.split('/')[-1].lower() or 'bjet_invariant_mass' in histname - - if ('MttbarAnalysis' in histname or 'TTbarPlusMetAnalysis' in histname) and not qcdFromMCPlots: - qcdShapeFromData = histname.replace('Ref selection', 'QCD non iso mu+jets') - currentBin = HistPlotter.getBjetBin(histname) - qcdShapeFromData = qcdShapeFromData.replace(currentBin, '0btag') - print 'QCD shape from Data:', qcdShapeFromData - qcdHists = HistGetter.getHistsFromFiles([qcdShapeFromData], {'data':files[used_data]}) - hist_muQCD = qcdHists['data'][qcdShapeFromData] - - nShape = hist_muQCD.Integral() - if nShape > 0: - hist_muQCD.Scale(nMuQCD / nShape) - - if performRescale: - print '=' * 100 - print '"best" rescaling for', histname - rescales = rescaleMC(hist_data, hist_ttbar, hist_wjets, hist_qcd) - print rescales - print '=' * 100 - topScale = rescales[1]['ttbar'] - wjetScale = rescales[1]['wjets'] - qcdScale2 = rescales[1]['qcd'] - - hist_ttbar.Scale(topScale) - hist_wjets.Scale(wjetScale) - hist_qcd.Scale(qcdScale2) - - - - rebin = 1; - Urange = (0, 5000) - if ("mttbar" in histname): - hist_data.SetXTitle("m(t#bar{t}) [GeV]"); - rebin = 50; - hist_data.SetYTitle("Events/(%f GeV)" % hist_data.GetBinWidth(1) * rebin); - if setLogY: - Urange = (300, 3000) - else: - Urange = (300, 1500) - if "All_Electron_mvaTrigV0" in histname: - hist_data.SetXTitle("mva disc"); - hist_data.SetYTitle("Events/(0.01)"); - rebin = 1; - Urange = (-1.1, 1.1) - elif ("m3" in histname): - hist_data.SetXTitle("M3 [GeV]"); - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5; - Urange = (0, 500) - elif (histname == "electron_et"): - hist_data.SetXTitle("electron p_{T} [GeV]"); - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5; - elif ("ttbar_pt" in histname): - hist_data.SetXTitle("p_{T} of t#bar{t} system [GeV]"); - hist_data.SetYTitle("Events/(10 GeV)"); - rebin = 10; - if setLogY: - Urange = (0, 700) - else: - Urange = (0, 300) - elif ("ttbar_px" in histname): - hist_data.SetXTitle("p_{x} of t#bar{t} system [GeV]"); - hist_data.SetYTitle("Events/(10 GeV)"); - rebin = 10; - Urange = (0, 1000) - elif ("ttbar_py" in histname): - hist_data.SetXTitle("p_{y} of t#bar{t} system [GeV]"); - hist_data.SetYTitle("Events/(10 GeV)"); - rebin = 10; - Urange = (0, 1000) - elif ("ttbar_pz" in histname): - hist_data.SetXTitle("p_{z} of t#bar{t} system [GeV]"); - hist_data.SetYTitle("Events/(50 GeV)"); - rebin = 50; - Urange = (0, 2500) - elif ("HT" in histname): - hist_data.SetXTitle("#Sigma p_{T} [GeV]"); - hist_data.SetYTitle("Events/(50 GeV)"); - rebin = 50; - Urange = (0, 2500) - elif (histname == "numberOfJets"): - hist_data.SetXTitle("number of jets"); - hist_data.SetYTitle("Events"); - elif (histname == "numberOfBJets"): - hist_data.SetXTitle("number of b-tagged jets (SSVHE medium)"); - hist_data.SetYTitle("Events"); - elif ('MET_' in histname and not 'phi' in histname and not 'Angle_lepton_MET' in histname): - hist_data.SetXTitle("E_{T}^{miss} [GeV]"); - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5 - if setLogY: - Urange = (200, 590) - rebin = 10 - hist_data.SetYTitle("Events/(10 GeV)") - else: - Urange = (0, 195) - elif ('MET_phi' in histname): - hist_data.SetXTitle("#phi(E_{T}^{miss})"); - hist_data.SetYTitle("Events/(0.1)"); - rebin = 1; - Urange = (-4, 4) - elif 'Angle_lepton_MET' in histname: - hist_data.SetXTitle("angle(l,E_{T}^{miss})"); - hist_data.SetYTitle("Events/0.05"); - rebin = 5; - Urange = (0, 3.2) - elif 'METsignificance' in histname: - hist_data.SetXTitle("METsignificance [GeV]"); - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5; - Urange = (0, 200) - elif ("mtW" in histname or 'Transverse_Mass' in histname): - hist_data.SetXTitle("transverse W-boson mass [GeV]"); - - if setLogY: - Urange = (0, 500) - hist_data.SetYTitle("Events/(10 GeV)"); - rebin = 10; - else: - Urange = (0, 200) - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5; - elif ("electronD0" in histname): - hist_data.SetXTitle("electron d_{0} / cm"); - hist_data.SetYTitle("Events/(0.001 cm)"); - rebin = 10; - elif ("angleTops" in histname): - hist_data.SetXTitle("angle between top quarks"); - hist_data.SetYTitle("Events/(0.1 rad)"); - rebin = 20; - elif ("neutrino_pz" in histname): - hist_data.SetXTitle("neutrino p_{Z} [GeV]"); - hist_data.SetYTitle("Events/(10 GeV)"); - rebin = 10; - Urange = (-500, 500) - elif ('hadronicTopMass' in histname or 'leptonicTopMass' in histname or 'mAllTop' in histname): - hist_data.SetXTitle("top mass [GeV]"); - if setLogY: - Urange = (0, 1000) - rebin = 10 - hist_data.SetYTitle("Events/(10 GeV)") - else: - rebin = 5 - hist_data.SetYTitle("Events/(5 GeV)") - Urange = (0, 500) - elif 'hadronicWMass' in histname: - hist_data.SetXTitle("W mass [GeV]"); - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5; - if setLogY: - Urange = (0, 350) - else: - Urange = (0, 200) - elif ('pt_leadingTop' in histname or 'pt_NextToLeadingTop' in histname): - hist_data.SetXTitle("top p_{T} [GeV]"); - hist_data.SetYTitle("Events/(20 GeV)"); - rebin = 20; - elif('QCDest_CombRelIso' in histname): - hist_data.SetXTitle("relative isolation"); - hist_data.SetYTitle("Events/(0.1)"); - rebin = 10; - Urange = (0, 2) - elif('pfisolation' in histname.lower()): - hist_data.SetXTitle("Relative isolation"); - hist_data.SetYTitle("Events/(0.1)"); - rebin = 10 - Urange = (0, 2) - reverseMCOrder = False - elif 'DirectionalIsolation' in histname: - hist_data.SetXTitle("directional isolation"); - hist_data.SetYTitle("Events/(0.01)"); - rebin = 10 - Urange = (0, 2) - elif 'DirectionalIsolationWithGaussianFallOff' in histname: - hist_data.SetXTitle("directional isolation"); - hist_data.SetYTitle("Events/(0.01)"); - rebin = 10 - Urange = (0, 2) - elif('diElectron' in histname): - hist_data.SetXTitle("m(ee)"); - hist_data.SetYTitle("Events/(10 GeV)"); - rebin = 10 - Urange = (50, 2000) - elif 'JetMass' in histname: - hist_data.SetXTitle("m(jet)"); - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5 - Urange = (0, 200) - elif 'nVertex' in histname: - Urange = (0, 21) - elif 'electron_pT' in histname: - hist_data.SetXTitle("p_{T}(e)"); - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5 - if setLogY: - Urange = (0, 500) - else: - print 'electron_pt, 200' - Urange = (0, 200) - elif 'muon_pT' in histname: - hist_data.SetXTitle("p_{T}(#mu)"); - hist_data.SetYTitle("Events/(5 GeV)"); - rebin = 5 - if setLogY: - Urange = (0, 500) - else: - print 'electron_pt, 200' - Urange = (0, 200) - elif 'electron_eta' in histname: - hist_data.SetYTitle("Events/(0.2)"); - rebin = 10 - Urange = (-3, 3) - elif 'N_BJets' in histname: - Urange = (0, 5) - hist_data.SetXTitle("B-tag Multiplicity"); - hist_data.SetYTitle("Events") - elif 'N_Jets' in histname: - hist_data.SetYTitle("Events"); - hist_data.SetXTitle("Jet Multiplicity"); - Urange = (4, 14) - elif 'bjet_invariant_mass' in histname: - Urange = (0, 600) - rebin = 20 - hist_data.SetYTitle("Events/(20 GeV)"); - hist_data.SetXTitle("m(b,b)"); - if 'electron_AbsEta' in histname: - hist_data.SetYTitle("Events/(0.1)"); - hist_data.SetXTitle("|#eta(e)|"); - rebin = 10 - Urange = (0, 2.5) - if 'muon_AbsEta' in histname: - hist_data.SetYTitle("Events/(0.1)"); - hist_data.SetXTitle("|#eta(#mu)|"); - rebin = 10 - Urange = (0, 2.5) - if normalise: - title = hist_data.GetYaxis().GetTitle() - title = title.replace('Events', 'normalised to unit area') - title = title.replace('events', 'normalised to unit area') - hist_data.SetYTitle(title); - hist_data.Rebin(rebin); - hist_ttbar.Rebin(rebin); - hist_wjets.Rebin(rebin); - hist_zjets.Rebin(rebin); - hist_qcd.Rebin(rebin); -# hist_ttbarW.Rebin(rebin) -# hist_ttbarZ.Rebin(rebin) - hist_muQCD.Rebin(rebin); - hist_singleTop.Rebin(rebin) -# hist_diboson.Rebin(rebin) - hist_data.SetAxisRange(Urange[0], Urange[1]); - hist_ttbar.SetAxisRange(Urange[0], Urange[1]); - hist_wjets.SetAxisRange(Urange[0], Urange[1]); - hist_zjets.SetAxisRange(Urange[0], Urange[1]); - hist_qcd.SetAxisRange(Urange[0], Urange[1]); - hist_muQCD.SetAxisRange(Urange[0], Urange[1]); - hist_singleTop.SetAxisRange(Urange[0], Urange[1]); -# hist_diboson.SetAxisRange(Urange[0], Urange[1]); - - if shapeErrorHist: - shapeErrorHist.Rebin(rebin) - shapeErrorHist.SetAxisRange(Urange[0], Urange[1]) - hist_data.SetMarkerStyle(8); - - hist_ttbar.SetFillStyle(1001); - hist_ttbar.SetFillColor(kRed + 1); -# hist_ttbar.SetLineColor(kRed + 1); - hist_wjets.SetFillStyle(1001); - hist_wjets.SetFillColor(kGreen - 3); -# hist_wjets.SetLineColor(kGreen - 3); - hist_zjets.SetFillStyle(1001); - hist_zjets.SetFillColor(kAzure - 2); -# hist_zjets.SetLineColor(kAzure - 2); - hist_qcd.SetFillStyle(1001); - hist_qcd.SetFillColor(kYellow); -# hist_qcd.SetLineColor(kYellow); - hist_muQCD.SetFillStyle(1001); - hist_muQCD.SetFillColor(kYellow); - hist_singleTop.SetFillStyle(1001); - hist_singleTop.SetFillColor(kMagenta) -# hist_singleTop.SetLineColor(kMagenta) - -# hist_diboson.SetFillStyle(1001); -# hist_diboson.SetFillColor(kWhite) -# hist_diboson.SetLineColor(kWhite) - -# hist_ttbarZ.SetLineColor(kCyan-4) -# hist_ttbarZ.SetFillStyle(4000) -# hist_ttbarZ.SetLineWidth(3) -# hist_ttbarZ.SetLineStyle(4); -# hist_ttbarW.SetLineColor(kBlue +2) -# hist_ttbarW.SetFillStyle(4000) -# hist_ttbarW.SetLineWidth(3) -# hist_ttbarW.SetLineStyle(4); - allMC = hist_ttbar.Clone('allMC') - allMC += hist_wjets + hist_zjets + hist_singleTop# + hist_diboson - if 'MuPlusJets' in histname or 'Muon' in histname: - allMC += hist_muQCD - else: - allMC += hist_qcd - -# ttbarErr = allMC.Clone('ttbar_err') -# for bin_i in range(1, ttbarErr.GetNbinsX()): -# value = hist_ttbar.GetBinContent(bin_i) -# error = value * ttbarUncertainty -# ttbarErr.SetBinError(bin_i, error) -# ttbarErr.SetFillColor(kGray +2) -# ttbarErr.SetMarkerStyle(0) -# ttbarErr.SetFillStyle(3001); - - leg = TLegend(0.696, 0.95, 0.94, 0.55) - leg.SetBorderSize(0) - leg.SetLineStyle(0) - leg.SetTextFont(42) - leg.SetFillStyle(0) - - leg.AddEntry(hist_data, "data", "P") - # leg.AddEntry(hist_data2, "data(no HLT)", "P"); - leg.AddEntry(hist_ttbar, "t#bar{t}", "f") - leg.AddEntry(hist_singleTop, "Single-Top", "f") - leg.AddEntry(hist_wjets, "W#rightarrowl#nu", "f") - leg.AddEntry(hist_zjets, "Z/#gamma*#rightarrowl^{+}l^{-}", "f") - if 'MuPlusJets' in histname or 'Muon' in histname: - leg.AddEntry(hist_muQCD, "QCD #mu Enriched", "f") - else: - leg.AddEntry(hist_qcd, "QCD/#gamma + jets", "f") -# leg.AddEntry(hist_diboson, "VV + X", "f") -# leg.AddEntry(hist_ttbarW, "t#bar{t} + W x 100", "f") -# leg.AddEntry(hist_ttbarZ, "t#bar{t} + Z x 100", "f") - #leg.AddEntry(ttbarErr, "t#bar{t} uncertainty", 'F') - - if normalise: - if 'EPlusJets' in histname or 'Electron' in histname: - normalisePlotsToUnitArea(hist_data, hist_ttbar, hist_wjets, hist_zjets, hist_singleTop, hist_qcd)#, hist_diboson) - else: - normalisePlotsToUnitArea(hist_data, hist_ttbar, hist_wjets, hist_zjets, hist_singleTop, hist_muQCD)#, hist_diboson) - - - - canvases.append(TCanvas("cname" + histname, histname, 1600, 1200)) - canvases[-1].cd().SetRightMargin(0.04); - if 'TTbarPlusMetAnalysis' in histname and not 'QCD' in histname and 'EPlusJets' in histname: -# relativeQCDEstimationError = 0 - errorHist = QCDEstimation.createErrorHistogram([hist_ttbar, hist_wjets, hist_zjets, hist_singleTop, hist_qcd], - hist_qcd, relativeQCDEstimationError, shapeErrorHist) - - hs = THStack("MC", "MC"); - if reverseMCOrder: - hs.Add(hist_ttbar); - hs.Add(hist_wjets); - hs.Add(hist_zjets); - hs.Add(hist_singleTop); - if 'MuPlusJets' in histname or 'Muon' in histname: - hs.Add(hist_muQCD); - else: - hs.Add(hist_qcd); -# hs.Add(hist_diboson); - - else: - # hs.Add(hist_diboson); - if 'MuPlusJets' in histname or 'Muon' in histname: - hs.Add(hist_muQCD); - else: - hs.Add(hist_qcd); - hs.Add(hist_zjets); - hs.Add(hist_wjets); - hs.Add(hist_singleTop); - hs.Add(hist_ttbar); - max = 0 - if hs.GetMaximum() > hist_data.GetMaximum(): - max = hs.GetMaximum() * 1.4 - else: - max = hist_data.GetMaximum() * 1.4 - hist_data.GetYaxis().SetRangeUser(0, max); - if setLogY: - hist_data.GetYaxis().SetRangeUser(0.1, max); - hist_data.Draw('error'); - hs.Draw("hist same"); -# hist_ttbarW.Draw("same") -# hist_ttbarZ.Draw("same") - setErrorX = TExec('ex1', 'gStyle->SetErrorX(0.5);') - unsetErrorX = TExec('ex2', 'gStyle->SetErrorX(0.);') -# gStyle.SetErrorX(0.5); - setErrorX.Draw() -# ttbarErr.Draw('e2 same') - unsetErrorX.Draw() -# gStyle.SetErrorX(0); - if errorHist and drawQCDError: - gStyle.SetErrorX(0.5); - errorHist.SetFillColor(kGray + 3) - errorHist.SetMarkerStyle(0) - errorHist.SetFillStyle(3001); - leg.AddEntry(errorHist, "QCD uncertainty") - errorHist.Draw('e2 same') - else: - gStyle.SetErrorX(0); - - hist_data.Draw("error same"); - leg.Draw(); - text1, text2 = HistPlotter.get_cms_label(lumiInInvPb=lumi, njet=HistPlotter.getJetBin(histname), - nbjet=HistPlotter.getBjetBin(histname), channel=HistPlotter.getChannel(histname)) - text1.Draw(); - text2.Draw(); -# - postfix = '' - if setLogY: - canvases[-1].SetLogy(1) - postfix = '_log' - if normalise: - postfix = postfix + '_norm' - if custom_suffix: - postfix += '_' + custom_suffix - - prefix = 'EPlusJets_' - if 'MuPlusJets' in histname or 'Muon' in histname: - prefix = 'MuPlusJets_' - selectionLabel = '' - if 'Ref' in histname: - selectionLabel = 'Ref_' - if 'QCDConversions' in histname: - selectionLabel = 'QCDConversions_' - if 'QCD non iso e+jets' in histname: - selectionLabel = 'AntiIsolated_' - - name = ''.join(histname[:histname.rfind('/') + 1]) + prefix + selectionLabel + ''.join(histname[histname.rfind('/') + 1:]) + postfix - #specific selections - - -# fullName = name.replace('EPlusJets', 'EPlusJets' + selectionLabel) + postfix - saveAs(canvas=canvases[-1], name=name, outputFormats=outputFormats, outputFolder=savePath) - del canvases[-1] - -# cu_hist_data = getCumulativePlot(hist_data, "data_" + histname); -# cu_hist_ttbar = getCumulativePlot(hist_ttbar, "ttbar_" + histname); -# cu_hist_wjets = getCumulativePlot(hist_wjets, "wjets_" + histname); -# cu_hist_zjets = getCumulativePlot(hist_zjets, "zjets_" + histname); -# cu_hist_qcd = getCumulativePlot(hist_qcd, "qcd_" + histname); -# cu_hist_muQCD = getCumulativePlot(hist_qcd, "MUqcd_" + histname); -# cu_hist_singleTop = getCumulativePlot(hist_singleTop, "singleTop_" + histname); -# cu_hist_diboson = getCumulativePlot(hist_diboson, "di-boson_" + histname); -## cu_hist_ttbarW = getCumulativePlot(hist_ttbarW, "ttbarW_" + histname); -## cu_hist_ttbarZ = getCumulativePlot(hist_ttbarZ, "ttbarZ_" + histname); -### cu_hist_Zprime500 = getCumulativePlot(hist_Zprime500, "Zprime500"); -### cu_hist_Zprime750 = getCumulativePlot(hist_Zprime750, "Zprime750"); -### cu_hist_Zprime1000 = getCumulativePlot(hist_Zprime1000, "Zprime1000"); -### cu_hist_Zprime1250 = getCumulativePlot(hist_Zprime1250, "Zprime1250"); -## cu_hist_Zprime4000 = getCumulativePlot(hist_Zprime4000, "Zprime4000"); -# cu_hist_data.SetYTitle("Integrated" + cu_hist_data.GetYaxis().GetTitle()) -### -## -# cu_hist_data.SetAxisRange(Urange[0], Urange[1]); -# cu_hist_ttbar.SetAxisRange(Urange[0], Urange[1]); -# cu_hist_wjets.SetAxisRange(Urange[0], Urange[1]); -# cu_hist_zjets.SetAxisRange(Urange[0], Urange[1]); -# cu_hist_qcd.SetAxisRange(Urange[0], Urange[1]); -# cu_hist_muQCD.SetAxisRange(Urange[0], Urange[1]); -# cu_hist_singleTop.SetAxisRange(Urange[0], Urange[1]); -# cu_hist_diboson.SetAxisRange(Urange[0], Urange[1]); -## cu_hist_ttbarW.SetAxisRange(Urange[0], Urange[1]); -## cu_hist_ttbarZ.SetAxisRange(Urange[0], Urange[1]); -# -# cu_hs = THStack("cu_MC", "cu_MC"); -# cu_hs.Add(cu_hist_diboson); -# cu_hs.Add(cu_hist_ttbar); -# cu_hs.Add(cu_hist_wjets); -# cu_hs.Add(cu_hist_zjets); -# cu_hs.Add(cu_hist_singleTop); -# if 'Muon' in histname: -# hs.Add(cu_hist_muQCD); -# else: -# cu_hs.Add(cu_hist_qcd); -# -# scanvases.append(TCanvas("cu_cname" + histname, histname + "(cu)", 1600, 1200)) -# scanvases[-1].cd().SetRightMargin(0.04); -# -# cu_hist_data.Draw("error"); -# cu_hs.Draw("hist same"); -## cu_hist_ttbarW.Draw("same"); -## cu_hist_ttbarZ.Draw("same"); -#### cu_hist_Zprime500.Draw("same"); -#### cu_hist_Zprime750.Draw("same"); -#### cu_hist_Zprime1000.Draw("same"); -#### cu_hist_Zprime1250.Draw("same"); -## cu_hist_Zprime4000.Draw("same"); -### # cu_hist_data2.Draw("error same"); -# cu_hist_data.Draw("error same"); -# leg.Draw(); -### -# text1.Draw() -# postfix = '' -# if setLogY: -# scanvases[-1].SetLogy(1) -# postfix = '_log' -## scanvases[-1].SetGridy(1) -# name = ''.join(histname[:histname.rfind('/') + 1]) + prefix + ''.join(histname[histname.rfind('/') + 1:]) -# saveAs(canvas=scanvases[-1], name=name + '_integrated' + postfix, outputFormats=outputFormats, outputFolder=savePath) -# del scanvases[-1] -# del cu_hs -# del cu_hist_data -# del cu_hist_ttbar -# del cu_hist_wjets -# del cu_hist_zjets -# del cu_hist_qcd -# del cu_hist_singleTop -# del cu_hist_diboson - - -# fixOverlay: Redraws the axis - -def fixOverlay(): - gPad.RedrawAxis(); - - -def getCumulativePlot(initial, type): - name = initial.GetName() - name = "cu_" + name + "_" + type; - title = initial.GetTitle() - title = "cu_" + title + "_" + type; - xaxis = initial.GetXaxis().GetTitle(); - yaxis = initial.GetYaxis().GetTitle(); - nBins = initial.GetNbinsX(); - cu = TH1F(name, title, nBins, initial.GetXaxis().GetXmin(), initial.GetXaxis().GetXmax()); -# cu.Sumw2() - for bin in range(1, nBins + 1): - cu.SetBinContent(bin, initial.Integral(bin, nBins)); - - cu.SetFillStyle(initial.GetFillStyle()); - cu.SetFillColor(initial.GetFillColor()); - cu.SetLineColor(initial.GetLineColor()); - cu.SetMarkerSize(initial.GetMarkerSize()); - cu.SetMarkerStyle(initial.GetMarkerStyle()); - cu.SetMarkerColor(initial.GetMarkerColor()); - cu.SetLineWidth(initial.GetLineWidth()); - cu.GetXaxis().SetTitle(xaxis); - cu.GetYaxis().SetTitle(yaxis); - return cu; - - -def normalisePlotsToUnitArea(data, hist_ttbar, hist_wjets, hist_zjets, hist_singleTop, hist_qcd):#, hist_diboson): - nData = data.Integral() - nTop = hist_ttbar.Integral() - nWJ = hist_wjets.Integral() - nZJ = hist_zjets.Integral() - nST = hist_singleTop.Integral() - nQCD = hist_qcd.Integral() -# nDB = hist_diboson.Integral() - data.Sumw2() - nMC = sum([nTop, nWJ, nZJ, nST, nQCD])#, nDB]) - print 'nMC', nMC - if not nData == 0: - data.Scale(1 / nData) - - - if not nMC == 0: - hist_ttbar.Scale(1 / nMC) - hist_wjets.Scale(1 / nMC) - hist_zjets.Scale(1 / nMC) - hist_singleTop.Scale(1 / nMC) - hist_qcd.Scale(1 / nMC) -# hist_diboson.Scale(1 / nMC) - - chi2 = 0 - for bin in range(1, data.GetNbinsX() + 1): - nData = data.GetBinContent(bin) - nTop = hist_ttbar.GetBinContent(bin) - nWJ = hist_wjets.GetBinContent(bin) - nZJ = hist_zjets.GetBinContent(bin) - nST = hist_singleTop.GetBinContent(bin) - nQCD = hist_qcd.GetBinContent(bin) -# nDB = hist_diboson.GetBinContent(bin) - nMC = sum([nTop, nWJ, nZJ, nST, nQCD])#, nDB]) - chi2 += (nData - nMC) ** 2 - print 'Chi2:', chi2 - - -def rescaleMC(data, ttbar, wjets, qcd): - #rescaling - - - chi2 = {} - - eventsData = [] - appendData = eventsData.append - eventsTTbar = [] - appendTTbar = eventsTTbar.append - eventsWJets = [] - appendWJets = eventsWJets.append - eventsQCD = [] - appendQCD = eventsQCD.append - nBins = data.GetNbinsX() - - getData = data.GetBinContent - getttbar = ttbar.GetBinContent - getwjets = wjets.GetBinContent - getqcd = qcd.GetBinContent - for bin in range(nBins): - appendData(getData(bin)) - appendTTbar(getttbar(bin)) - appendWJets(getwjets(bin)) - appendQCD(getqcd(bin)) - - events = {} - events['data'] = eventsData - events['ttbar'] = eventsTTbar - events['wjets'] = eventsWJets - events['qcd'] = eventsQCD - - for tscale in arange(1, 2, 0.2): - for wscale in arange(1, 4, 0.4): - for qscale in arange(1, 4, 0.4): - res = getChi2(events, {'ttbar': tscale, 'wjets':wscale, 'qcd':qscale}) - chi2[res] = {'ttbar': tscale, 'wjets':wscale, 'qcd':qscale} - keys = chi2.keys() - result = {'ttbar': 1, 'wjets':1, 'qcd':1} - if len(keys) > 0: - result = sorted(keys)[0] - return result, chi2[result] - - -def getChi2(events={}, scales={}): - diff = 0 - for eventsData, eventsTTbar, eventsWJets, eventsQCD in zip(events['data'], events['ttbar'], events['wjets'], events['qcd']): - eventsMC = eventsTTbar * scales['ttbar'] + eventsWJets * scales['wjets'] + eventsQCD * scales['qcd'] - diff += (eventsData - eventsMC) ** 2 - return diff / len(events['data']) - -if __name__ == "__main__": - gROOT.SetBatch(True) - gROOT.ProcessLine('gErrorIgnoreLevel = 1001;') - parser = OptionParser() - parser.add_option("-l", "--logY", - action="store_true", dest="logY", default=False, - help="enable logarithmic y-axis") - parser.add_option("-n", "--normalise", - action="store_true", dest="norm", default=False, - help="normalise to unit area") - - (options, args) = parser.parse_args() - setLogY = options.logY - normalise = options.norm - plotMttbar() diff --git a/scripts_old/plotQCDEstimate.py b/scripts_old/plotQCDEstimate.py deleted file mode 100644 index 987e7094..00000000 --- a/scripts_old/plotQCDEstimate.py +++ /dev/null @@ -1,481 +0,0 @@ -# -# 31 Mar 2010 -# Plots (signed) Delta = (est-true)/true, for QCD estimate -# -#--------------------------------------------------------------- -from __future__ import division -from ROOT import * - -n = 4; -nrange = 9; -plot_average_est = True; - -# free in 12j, fix in 34j -constrain_gaus_mean_12j = False; -show_free_fit_res_34j = True; - -# landau free -#bool show_free_fit_res_34j = true; -#const bool constrain_gaus_mean_12j = true; - - -# gaus mean-constrained in 12j, fix in 34j -def plot_qcd_estimate_gaus_mean12j(): - constrain_gaus_mean_12j = true; - show_free_fits_res_34j = false; - plot_qcd_estimate( "gaus" ); - -def setStyle(): - - gROOT.SetStyle( "Plain" ); - gStyle.SetTextFont( 42 ); - gStyle.SetLabelFont( 42, "xy" ); - gStyle.SetFrameFillColor( 0 ); - gStyle.SetTitleBorderSize( 0 ); - - gStyle.SetTitleH( 0.06 ); - gStyle.SetPadTopMargin( 0.15 ); - - gStyle.SetOptFit( 1 ); - gStyle.SetPalette( 1 ); - - gStyle.SetPadTickX( 1 ); - gStyle.SetPadTickY( 1 ); - -def plot_qcd_estimate( func = "gaus" ): - - setStyle(); - - if constrain_gaus_mean_12j: - show_free_fit_res_34j = False; - - x = [1, 2, 3, 4] - xx = [3, 4] - x12j = [1, 2] - # Gaus (Free-fits) - - result = open( "est_free_%s.txt" % func ); - #result.open(Form("gaus_mean_0.3to0.6_12j__rb5/est_free_%s.txt",func)); - - m = nrange * ( 4 + 2 ); - est = [] - estFix = [] - max_dev = 0; - max_dev_12j = 0; - max_dev_34j = 0; - max_dev_3j = 0; - max_dev_4j = 0; - max_dev_34j_fix = 0; - max_dev_3j_fix = 0; - max_dev_4j_fix = 0; - - # Free fits - for i in range( 0, 4 * nrange ): - est.append( result.readline() ) - if fabs( est[-1] ) > max_dev: - max_dev = fabs( est[-1] ); - - if i % 4 <= 1: #1,2j - if fabs( est[-1] ) > max_dev_12j: - max_dev_12j = fabs( est[-1] ); - elif i % 4 == 2 : #3j - if fabs( est[-1] ) > max_dev_3j : - max_dev_3j = fabs( est[-1] ); - elif i % 4 == 3: #4mj - if fabs( est[-1] ) > max_dev_4j : - max_dev_4j = fabs( est[-1] ); - - if i % 4 == 0: - print #first of 4 - print i % 4 + 1, "j est[", i, "] = ", est[i], " "; - if i % 4 <= 1: - print "max_dev_12j = ", max_dev_12j; #12j - print endl; - result.close(); - - # Gaus (Constrained-fits in 3,4j) - result.open( "est_fix_%s.txt" % func ) - #result.open(Form("gaus_mean_0.3to0.6_12j__rb5/est_fix_%s.txt",func)); - - estFix2 = []; - maxDevFix = 0; - - for i in range( 0, 4 * nrange ): - - # read in 3,4j only - #print "amtb: i=", i - if not constrain_gaus_mean_12j and i % 4 < 2: - continue; - - estFix.append( result.readline() ) - estFix2.append( estFix[-1] ); - - - print i % 4 + 1, "j estFix[", i, "] = " , estFix[-1], " ", endl; - - #print "amtb: i=", i - - - if fabs( estFix[-1] ) > maxDevFix : - maxDevFix = fabs( estFix[-1] ); - if fabs( estFix[-1] ) > max_dev_34j_fix : - max_dev_34j_fix = fabs( estFix[-1] ); - if i % 4 == 2:#3j - if fabs( estFix[-1] ) > max_dev_3j_fix: - max_dev_3j_fix = fabs( estFix[-1] ); - elif i % 4 == 3: #>=4j - if fabs( estFix[-1] ) > max_dev_4j_fix: - max_dev_4j_fix = fabs( estFix[-1] ); - - for k in range( 0, len( estFix2 ) ): - print "amtb: estFix2[", k, "]: ", estFix2[k] - - result.close(); - max_dev_34j_fix = TMath.Max( max_dev_3j_fix, max_dev_4j_fix ); - max_dev_34j = TMath.Max( max_dev_3j, max_dev_4j ); - - print "maxDevFix: ", maxDevFix - - - print "\nFor all ranges, |max| deviation is ", max_dev - print "For 1,2j, |max| deviation is ", max_dev_12j - print "For free fit (3j) |max| deviation is ", max_dev_3j - print "For free fit (>=4j) |max| deviation is ", max_dev_4j - print "For free fit (3,>=4j), |max| deviation is ", max_dev_34j - print "For constrained fit (3j), |max| deviation is ", max_dev_3j_fix - print "For constrained fit (>=4j), |max| deviation is ", max_dev_4j_fix - print "For constrained fit (3,>=4j), |max| deviation is ", max_dev_34j_fix - - - - c2 = TCanvas( "c2", "QCD estimates", 600, 600 ); - - y[nrange][4]; - - index = 0; - - for i in range( 0, nrange ): - for j in range( 0, 4 ): - y[i][j] = est[index]; #read in - index += 1 - #print "index="< - - - - - plots/HLTStudy - - - -

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