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addFitNuisance.C
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addFitNuisance.C
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#include <iostream>
#include "TROOT.h"
#include "TFile.h"
#include "TKey.h"
#include "TF1.h"
#include "TFitResult.h"
#include "TFitResultPtr.h"
#include "TH1F.h"
#include "TMath.h"
#include "TCanvas.h"
#include "TLegend.h"
#include "RooBinning.h"
#include "RooPlot.h"
#include "RooRealVar.h"
#include "RooDataHist.h"
#include "RooDataSet.h"
#include "RooHistPdf.h"
#include "RooGenericPdf.h"
#include "RooFitResult.h"
#include "TMatrixDSym.h"
#include "TMatrixDSymEigen.h"
//Clone the file excluding the histogram (code stolen from Rene Brun)
void copyDir(TDirectory *source,std::string iSkipHist,bool iFirst=true) {
//copy all objects and subdirs of directory source as a subdir of the current directory
TDirectory *savdir = gDirectory;
TDirectory *adir = savdir;
if(!iFirst) adir = savdir->mkdir(source->GetName());
if(!iFirst) adir->cd();
//loop on all entries of this directory
TKey *key;
TIter nextkey(source->GetListOfKeys());
while ((key = (TKey*)nextkey())) {
const char *classname = key->GetClassName();
TClass *cl = gROOT->GetClass(classname);
if (!cl) continue;
if (cl->InheritsFrom(TDirectory::Class())) {
source->cd(key->GetName());
TDirectory *subdir = gDirectory;
adir->cd();
copyDir(subdir,iSkipHist,false);
adir->cd();
} else {
source->cd();
TObject *obj = key->ReadObj();
std::string pFullName = std::string(adir->GetName())+"/"+std::string(obj->GetName());
std::string iSkipHist2 = iSkipHist;
std::string fine_binning = "_fine_binning";
iSkipHist2.replace(iSkipHist2.find(fine_binning), fine_binning.length(),"");
if(pFullName == iSkipHist || pFullName == iSkipHist2) {
continue;
}
adir->cd();
obj->Write();
delete obj;
}
}
adir->SaveSelf(kTRUE);
savdir->cd();
}
void cloneFile(TFile *iOutputFile,TFile *iReadFile,std::string iSkipHist) {
//copy all objects and subdirs of directory source as a subdir of the current directory
iOutputFile->cd();
copyDir(iReadFile,iSkipHist);
}
//Rebin the histogram
TH1F* rebin(TH1F* iH,int iNBins,double *iAxis) {
std::string lTmp = "tmp"; //Added to avoid Root output errors
TH1F *lH = new TH1F(lTmp.c_str(),lTmp.c_str(),iNBins,iAxis);
for(int i0 = 0; i0 < iH->GetNbinsX()+1; i0++) {
int lNBin = lH->GetXaxis()->FindBin(iH->GetXaxis()->GetBinCenter(i0));
double lVal = iH->GetBinContent(i0);
double lErr = iH->GetBinError (i0);
double lOldV = lH->GetBinContent(lNBin);
double lOldE = lH->GetBinError (lNBin);
lH->SetBinContent(lNBin,lVal+lOldV);
lH->SetBinError (lNBin,sqrt(lOldE*lOldE+lErr*lErr));
}
std::string lName2 = iH->GetName();
std::string fine_binning = "_fine_binning";
lName2.replace(lName2.find(fine_binning),fine_binning.length(),"");
lH->SetName (lName2.c_str());
lH->SetTitle(lName2.c_str());
delete iH;
return lH;
}
//Merge Histogram with function histogram
TH1F * merge(std::string iName,double iMergePoint,TH1F *iH,TH1F *iFunc) {
cout << "====> Merging " << iName << endl;
TH1F *lH = (TH1F*) iH->Clone(iName.c_str());
lH->SetFillStyle(0);
int lMergeBin = iH->GetXaxis()->FindBin(iMergePoint);
//double lVal = iH->GetBinContent(lMergeBin);
//iFunc->Scale(lVal/iFunc->GetBinContent(lMergeBin));
iFunc->Scale( (iH->Integral(lMergeBin, iH->GetXaxis()->FindBin(1500))) / (iFunc->Integral(lMergeBin, iFunc->GetXaxis()->FindBin(1500)) )); // felix - last fit bin = 1500; this approach seems to work much better
for(int i0 = 0; i0 < lMergeBin; i0++) lH->SetBinContent(i0,iH->GetBinContent(i0));
for(int i0 = lMergeBin; i0 < iH->GetNbinsX()+1; i0++) lH->SetBinContent(i0,iFunc->GetBinContent(iFunc->GetXaxis()->FindBin(lH->GetXaxis()->GetBinCenter(i0))));
lH->SetName(iName.c_str());
return lH;
}
//Difference plotting
void drawDifference(TH1* iH0,TH1 *iH1,TH1 *iHH=0,TH1 *iHL=0,TH1 *iHH1=0,TH1 *iHL1=0) {
std::string lName = std::string(iH0->GetName());
TH1F *lHDiff = (TH1F*) iH0->Clone("Diff");
TH1F *lHDiffH = (TH1F*) iH0->Clone("DiffH");
TH1F *lHDiffL = (TH1F*) iH0->Clone("DiffL");
TH1F *lHDiffH1 = (TH1F*) iH0->Clone("DiffH1");
TH1F *lHDiffL1 = (TH1F*) iH0->Clone("DiffL1");
lHDiff ->SetFillColor(kViolet); lHDiff->SetFillStyle(1001); lHDiff->SetLineWidth(1);
lHDiffL ->SetLineColor(iHL ->GetLineColor());
lHDiffL ->SetLineStyle(iHL ->GetLineStyle());
lHDiffL ->SetLineWidth(iHL ->GetLineWidth());
lHDiffH ->SetLineColor(iHH ->GetLineColor());
lHDiffH ->SetLineStyle(iHH ->GetLineStyle());
lHDiffH ->SetLineWidth(iHH ->GetLineWidth());
lHDiffL1->SetLineColor(iHL1->GetLineColor());
lHDiffL1->SetLineStyle(iHL1->GetLineStyle());
lHDiffL1->SetLineWidth(iHL1->GetLineWidth());
lHDiffH1->SetLineColor(iHH1->GetLineColor());
lHDiffH1->SetLineStyle(iHH1->GetLineStyle());
lHDiffH1->SetLineWidth(iHH1->GetLineWidth());
TH1F *lXHDiff1 = new TH1F((lName+"XDiff1").c_str(),(lName+"XDiff1").c_str(),iH0->GetNbinsX(),iH0->GetXaxis()->GetXmin(),iH0->GetXaxis()->GetXmax());
TH1F *lXHDiff2 = new TH1F((lName+"XDiff2").c_str(),(lName+"XDiff2").c_str(),iH0->GetNbinsX(),iH0->GetXaxis()->GetXmin(),iH0->GetXaxis()->GetXmax());
int i1 = 0;
lXHDiff1->SetLineWidth(1); lXHDiff1->SetLineColor(kGreen+2);
lXHDiff2->SetLineWidth(1); lXHDiff2->SetLineColor(kGreen+2);
lXHDiff1->SetTitle(0);
lXHDiff1->GetYaxis()->SetTitle("Ratio");
lXHDiff1->GetYaxis()->SetRangeUser(0.2,1.8);
lXHDiff1->GetYaxis()->SetTitleOffset(0.3);
lXHDiff1->GetYaxis()->SetTitleSize(0.2);
lXHDiff1->GetYaxis()->SetLabelSize(0.11);
lXHDiff1->GetXaxis()->SetLabelSize(0);
for(int i0 = 0; i0 < lHDiff->GetNbinsX()+1; i0++) {
double lXCenter = lHDiff->GetBinCenter(i0);
double lXVal = iH0 ->GetBinContent(i0);
double lXValH = iHH ->GetBinContent(i0);
double lXValL = iHL ->GetBinContent(i0);
double lXValH1 = iHH1 ->GetBinContent(i0);
double lXValL1 = iHL1 ->GetBinContent(i0);
lXHDiff1->SetBinContent(i0, 1.0);
lXHDiff2->SetBinContent(i0, 1.0);
while(iH1->GetBinCenter(i1) < lXCenter) {i1++;}
if(iH1->GetBinContent(i0) > 0) lHDiff->SetBinContent(i0,lXVal /(iH1->GetBinContent(i0)));
if(iH1->GetBinContent(i0) > 0) lHDiff->SetBinError(i0,iH0->GetBinError(i0) /(iH1->GetBinContent(i0)) );
if(iH1->GetBinContent(i0) > 0) lHDiffL->SetBinContent(i0,lXValL/(iH1->GetBinContent(i0)));
if(iH1->GetBinContent(i0) > 0) lHDiffH->SetBinContent(i0,lXValH/(iH1->GetBinContent(i0)));
if(iH1->GetBinContent(i0) > 0) lHDiffL1->SetBinContent(i0,lXValL1/(iH1->GetBinContent(i0)));
if(iH1->GetBinContent(i0) > 0) lHDiffH1->SetBinContent(i0,lXValH1/(iH1->GetBinContent(i0)));
//if(iH1->GetBinContent(i0) > 0) cout << "unc" << lXVal << " -- " << sqrt(lXVal)/(iH1->GetBinContent(i0)) << endl;
}
lHDiff->SetMarkerStyle(kFullCircle);
//lHDiff->Draw("EP");
lXHDiff1->SetStats(0);
lXHDiff2->SetStats(0);
lHDiff->SetStats(0);
lHDiffH->SetStats(0);
lHDiffL->SetStats(0);
lHDiffH1->SetStats(0);
lHDiffL1->SetStats(0);
lXHDiff1->Draw("hist");
lXHDiff2->Draw("hist sames");
lHDiff->Draw("EP sames");
lHDiffH ->Draw("hist sames");
lHDiffL ->Draw("hist sames");
lHDiffH1->Draw("hist sames");
lHDiffL1->Draw("hist sames");
}
//Get Axis from a TH1F
double * getAxis(TH1F *iH) {
const int lNHBins = iH->GetNbinsX();
double *lX = new double[lNHBins+1];
for(int i0 = 1; i0 < iH->GetNbinsX()+2; i0++) {
lX[i0-1] = iH->GetXaxis()->GetBinLowEdge(i0);
}
return lX;
}
//Make a histogram from a TF1
TH1F* makeHist(TF1 *iFit,TH1F *iH,std::string iName) {
TH1F *lH = (TH1F*) iH->Clone(iName.c_str());
for(int i0 = 0; i0 < lH->GetNbinsX()+1; i0++) lH->SetBinContent(i0,iFit->Eval(lH->GetXaxis()->GetBinCenter(i0)));
for(int i0 = 0; i0 < lH->GetNbinsX()+1; i0++) lH->SetBinContent(i0,lH->GetBinContent(i0)*lH->GetXaxis()->GetBinWidth(i0));
for(int i0 = 0; i0 < lH->GetNbinsX()+1; i0++) lH->SetBinError (i0,lH->GetBinError (i0)*lH->GetXaxis()->GetBinWidth(i0));
return lH;
}
//I would recommend to use the other version of the fit code
void addVarBinNuisance(std::string iFileName,std::string iChannel,std::string iBkg,std::string iEnergy,std::string iName,std::string iDir,bool iRebin=true,int iFitModel=0,double iFirst=200,double iLast=1500) {
std::cout << "======> " << iDir << "/" << iBkg << " -- " << iFileName << std::endl;
TFile *lFile = new TFile(iFileName.c_str());
TH1F *lH0 = (TH1F*) lFile->Get((iDir+"/"+iBkg).c_str());
TH1F *lData = (TH1F*) lFile->Get((iDir+"/data_obs").c_str());
for(int i0 = 0; i0 < lH0->GetNbinsX()+1; i0++) lH0->SetBinContent(i0,lH0->GetBinContent(i0)/lH0->GetXaxis()->GetBinWidth(i0));
for(int i0 = 0; i0 < lH0->GetNbinsX()+1; i0++) lH0->SetBinError (i0,lH0->GetBinError (i0)/lH0->GetXaxis()->GetBinWidth(i0));
//Define the fit function
double lFirst = iFirst;
double lLast = iLast;
//TF1 *lFit = new TF1("Fit","[2]*exp(-x/([0]+[1]*x))",0,5000);
TF1 *lFit = new TF1("expspec","[2]*exp(-x/([0]+[1]*x))",0,5000);
if(iFitModel == 1) lFit = new TF1("expspec","[2]*exp(-[0]*pow(x,[1]))",0,5000);
lFit->SetParLimits(2,0,10000000); lFit->SetParameter(2,lH0->Integral());
lFit->SetParLimits(0, 0,100); lFit->SetParameter(0,20);
lFit->SetParLimits(1,-10,10); lFit->SetParameter(1,0);
if(iFitModel == 1) lFit->SetParameter(0,0.3);
if(iFitModel == 2) lFit->SetParameter(1,0.5);
//TFitResultPtr lFitPtr = lH0->Fit("expspec","SEWL","IR",lFirst,lLast);
TFitResultPtr lFitPtr = lH0->Fit("expspec","SER","R",lFirst,lLast);
TMatrixDSym lCovMatrix = lFitPtr->GetCovarianceMatrix();
TMatrixD lEigVecs(3,3); lEigVecs = TMatrixDSymEigen(lCovMatrix).GetEigenVectors();
TVectorD lEigVals(3); lEigVals = TMatrixDSymEigen(lCovMatrix).GetEigenValues();
double lACentral = lFit->GetParameter(0);
double lBCentral = lFit->GetParameter(1);
lEigVals(0) = sqrt(lEigVals(1));
lEigVals(1) = sqrt(lEigVals(2));
for(int i0 = 0; i0 < lH0->GetNbinsX()+1; i0++) lH0->SetBinContent(i0,lH0->GetBinContent(i0)*lH0->GetXaxis()->GetBinWidth(i0));
for(int i0 = 0; i0 < lH0->GetNbinsX()+1; i0++) lH0->SetBinError (i0,lH0->GetBinError (i0)*lH0->GetXaxis()->GetBinWidth(i0));
lEigVecs(0,0) = lEigVecs(0,1);
lEigVecs(1,0) = lEigVecs(1,1);
lEigVecs(0,1) = lEigVecs(0,2);
lEigVecs(1,1) = lEigVecs(1,2);
TH1F* lH = makeHist(lFit,lH0,"Def");
lFit->SetParameter(0,lACentral + lEigVals(0)*lEigVecs(0,0));
lFit->SetParameter(1,lBCentral + lEigVals(0)*lEigVecs(1,0));
TH1F* lHUp = makeHist(lFit,lH0,"Up");
lFit->SetParameter(0,lACentral - lEigVals(0)*lEigVecs(0,0));
lFit->SetParameter(1,lBCentral - lEigVals(0)*lEigVecs(1,0));
TH1F* lHDown = makeHist(lFit,lH0,"Down");
lFit->SetParameter(0,lACentral + lEigVals(1)*lEigVecs(0,1));
lFit->SetParameter(1,lBCentral + lEigVals(1)*lEigVecs(1,1));
TH1F* lHUp1 = makeHist(lFit,lH0,"Up1");
lFit->SetParameter(0,lACentral - lEigVals(1)*lEigVecs(0,1));
lFit->SetParameter(1,lBCentral - lEigVals(1)*lEigVecs(1,1));
TH1F* lHDown1 = makeHist(lFit,lH0,"Down1");
//lFirst = 200;
std::string lNuisance1 = iBkg+"_"+"CMS_"+iName+"1_" + iChannel + "_" + iEnergy;
std::string lNuisance2 = iBkg+"_"+"CMS_"+iName+"2_" + iChannel + "_" + iEnergy;
lHUp = merge(lNuisance1 + "Up" ,lFirst,lH0,lHUp);
lHDown = merge(lNuisance1 + "Down" ,lFirst,lH0,lHDown);
lHUp1 = merge(lNuisance2 + "Up" ,lFirst,lH0,lHUp1);
lHDown1 = merge(lNuisance2 + "Down" ,lFirst,lH0,lHDown1);
lH = merge(lH0->GetName() ,lFirst,lH0,lH);
if(iRebin) {
const int lNBins = lData->GetNbinsX();
double *lAxis = getAxis(lData);
lH0 = rebin(lH0 ,lNBins,lAxis);
lH = rebin(lH ,lNBins,lAxis);
lHUp = rebin(lHUp ,lNBins,lAxis);
lHDown = rebin(lHDown ,lNBins,lAxis);
lHUp1 = rebin(lHUp1 ,lNBins,lAxis);
lHDown1 = rebin(lHDown1,lNBins,lAxis);
}
TFile *lOutFile =new TFile("Output.root","RECREATE");
cloneFile(lOutFile,lFile,iDir+"/"+iBkg);
lOutFile->cd(iDir.c_str());
lH ->Write();
lHUp ->Write();
lHDown ->Write();
lHUp1 ->Write();
lHDown1->Write();
// Debug Plots
lH0 ->SetLineWidth(1); lH0->SetMarkerStyle(kFullCircle);
lH ->SetLineColor(kGreen);
lHUp ->SetLineColor(kRed);
lHDown ->SetLineColor(kRed);
lHUp1 ->SetLineColor(kBlue);
lHDown1->SetLineColor(kBlue);
TCanvas *lC0 = new TCanvas("Can","Can",800,600);
lC0->Divide(1,2); lC0->cd(); lC0->cd(1)->SetPad(0,0.2,1.0,1.0); gPad->SetLeftMargin(0.2) ;
lH0->Draw();
lH ->Draw("hist sames");
lHUp ->Draw("hist sames");
lHDown ->Draw("hist sames");
lHUp1 ->Draw("hist sames");
lHDown1->Draw("hist sames");
gPad->SetLogy();
lC0->cd(2)->SetPad(0,0,1.0,0.2); gPad->SetLeftMargin(0.2) ;
drawDifference(lH0,lH,lHUp,lHDown,lHUp1,lHDown1);
lC0->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+".png").c_str());
//lFile->Close();
return;
}
int addNuisance(std::string iFileName,std::string iChannel,std::string iBkg,std::string iEnergy,std::string iName,std::string iDir,bool iVerbose=false,bool iVarBin=false,int iFitModel=1,double iFirst=150,double iLast=1500,bool addUncerts=true,bool iTestMode=false) {
if (!iVerbose) {
RooMsgService::instance().setStreamStatus(0,false);
RooMsgService::instance().setStreamStatus(1,false);
RooMsgService::instance().setSilentMode(true);
}
std::cout << "======> " << iDir << "/" << iBkg << " -- " << iFileName << std::endl;
if(iVarBin) addVarBinNuisance(iFileName,iChannel,iBkg,iEnergy,iName,iDir,true,iFitModel,iFirst,iLast);
if(iVarBin) return 1;
TFile *lFile = new TFile(iFileName.c_str());
TH1F *lH0 = (TH1F*) lFile->Get((iDir+"/"+iBkg).c_str());
TH1F *lData = (TH1F*) lFile->Get((iDir+"/data_obs").c_str());
//Define the fit function
RooRealVar lM("m","m" ,0,5000); //lM.setBinning(lBinning);
RooRealVar lA("a","a" ,50, 0.1,200);
RooRealVar lB("b","b" ,50 , -10500,10500); //lB.setConstant(kTRUE);
RooDataHist *pH0 = new RooDataHist("Data","Data" ,RooArgList(lM),lH0);
TString iStr = TString::Format("%.0f",iFirst);
//std::cout << iStr << std::endl;
TString fn = "exp(-(m-"+iStr+")/(a+0.001*b*(m-"+iStr+")))";
//std::cout << fn << std::endl;
RooGenericPdf *lFit = 0; lFit = new RooGenericPdf("genPdf",fn,RooArgList(lM,lA,lB));
if(iFitModel == 1) lFit = new RooGenericPdf("genPdf","exp(-a*pow(m,b))",RooArgList(lM,lA,lB));
if(iFitModel == 1) {lA.setVal(0.3); lB.setVal(0.5);}
if(iFitModel == 2) lFit = new RooGenericPdf("genPdf","a*exp(b*m)",RooArgList(lM,lA,lB));
if(iFitModel == 3) lFit = new RooGenericPdf("genPdf","a/pow(m,b)",RooArgList(lM,lA,lB));
if(iFitModel == 4) lFit = new RooGenericPdf("genPdf","a*pow(m,b)",RooArgList(lM,lA,lB));
if(iFitModel == 5) lFit = new RooGenericPdf("genPdf","a*exp(pow(m,b))",RooArgList(lM,lA,lB));
RooFitResult *lRFit = 0;
double lFirst = iFirst;
double lLast = iLast;
//lRFit = lFit->chi2FitTo(*pH0,RooFit::Save(kTRUE),RooFit::Range(lFirst,lLast));
lRFit = lFit->fitTo(*pH0,RooFit::Save(kTRUE),RooFit::Range(lFirst,lLast),RooFit::Strategy(0));
//std::cout << lRFit->status() << " " << lRFit->covQual() << std::endl;
if(!(lRFit->status()==0 && lRFit->covQual()==3))
{
std::cerr << "===============================================================================" << std::endl;
std::cerr << "Tail fit has not succeeded. Datacard and uncertainty files will not be altered." << std::endl;
std::cerr << "===============================================================================" << std::endl;
return 1;
}
TMatrixDSym lCovMatrix = lRFit->covarianceMatrix();
TMatrixD lEigVecs(2,2); lEigVecs = TMatrixDSymEigen(lCovMatrix).GetEigenVectors();
TVectorD lEigVals(2); lEigVals = TMatrixDSymEigen(lCovMatrix).GetEigenValues();
cout << " Eigenvectors ---> " << lEigVecs(0,0) << " -- " << lEigVecs(1,0) << " -- " << lEigVecs(0,1) << " -- " << lEigVecs(1,1) << endl;
cout << " Covariance matrix ---> " << lCovMatrix(0,0) << " -- " << lCovMatrix(1,0) << " -- " << lCovMatrix(0,1) << " -- " << lCovMatrix(1,1) << endl;
double lACentral = lA.getVal();
double lBCentral = lB.getVal();
lEigVals(0) = sqrt(lEigVals(0));
lEigVals(1) = sqrt(lEigVals(1));
cout << "Eigenvalues ===> " << lEigVals(0) << " -- " << lEigVals(1) << endl;
lM.setRange(lFirst,2000);
lA.removeRange();
lB.removeRange();
//GENERATION OF SHIFT UP/DOWN HISTOGRAMS
//Add some flags for possible infinite points in the histograms.
bool flagcentral=false;
bool flag1up=false;
bool flag1down=false;
bool flag2up=false;
bool flag2down=false;
//CENTRAL HISTOGRAM
cout << "Values for central hist: " << " A: " << lA.getVal() << " B: " << lB.getVal() << endl;
lM.setRange(0,2000);
double mcentral=(-1 * lA.getVal() / lB.getVal() );
if(iFitModel==0 && lFirst < mcentral && mcentral < 2000)
{
flagcentral=true;
std::cout << "===============================================================================" << std::endl;
std::cout << "Infinite point found in central histogram at mass of " << mcentral << ". Truncating the histogram before that point, setting all bins after to zero." << std::endl;
std::cout << "===============================================================================" << std::endl;
lM.setRange(0,lH0->GetBinLowEdge(lH0->FindBin(mcentral)));
}
TH1F* lH=0, *lHtemp=0;
if(!flagcentral) lH = (TH1F*) lFit->createHistogram("fit" ,lM,RooFit::Binning(lH0->GetNbinsX(),lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax()));
else lHtemp=(TH1F*) lFit->createHistogram("fit" ,lM,RooFit::Binning(lH0->FindBin(mcentral),lH0->GetXaxis()->GetXmin(),lH0->GetBinLowEdge(lH0->FindBin(mcentral))));
//SHIFT1UP HISTOGRAM
lA.setVal(lACentral + lEigVals(0)*lEigVecs(0,0));
lB.setVal(lBCentral + lEigVals(0)*lEigVecs(1,0));
if(iVerbose) cout << "Values for shift 1 up hist: " << " A: " << lA.getVal() << " B: " << lB.getVal() << endl;
lM.setRange(0,2000);
double mshift1up=(-1 * lA.getVal() / lB.getVal() );
if(iFitModel == 0 && lFirst < mshift1up && mshift1up < 2000)
{
flag1up=true;
std::cout << "===============================================================================" << std::endl;
std::cout << "Infinite point found in shift 1 up histogram at mass of " << mshift1up << ". Truncating the histogram before that point, setting all bins after to zero." << std::endl;
std::cout << "===============================================================================" << std::endl;
lM.setRange(0,lH0->GetBinLowEdge(lH0->FindBin(mshift1up)));
}
TH1F* lHUp=0, *lHUptemp=0;
if(!flag1up) lHUp= (TH1F*) lFit->createHistogram("Up" ,lM,RooFit::Binning(lH0->GetNbinsX(),lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax()));
else lHUptemp=(TH1F*) lFit->createHistogram("Up" ,lM,RooFit::Binning((lH0->FindBin(mshift1up))-1,lH0->GetXaxis()->GetXmin(),lH0->GetBinLowEdge(lH0->FindBin(mshift1up))));
lA.setVal(lACentral - lEigVals(0)*lEigVecs(0,0));
lB.setVal(lBCentral - lEigVals(0)*lEigVecs(1,0));
//SHIFT1DOWN HISTOGRAM
if(iVerbose) cout << "Values for shift 1 down hist: " << " A: " << lA.getVal() << " B: " << lB.getVal() << endl;
lM.setRange(0,2000);
double mshift1down=(-1 * lA.getVal() / lB.getVal() );
if(iFitModel == 0 && lFirst < mshift1down && mshift1down < 2000)
{
flag1down=true;
std::cout << "===============================================================================" << std::endl;
std::cout << "Infinite point found in shift 1 down histogram at mass of " << mshift1down << ". Truncating the histogram before that point, setting all bins after to zero." << std::endl;
std::cout << "===============================================================================" << std::endl;
lM.setRange(0,lH0->GetBinLowEdge(lH0->FindBin(mshift1down)));
}
TH1F* lHDown=0, *lHDowntemp=0;
if(!flag1down) lHDown = (TH1F*) lFit->createHistogram("Down",lM,RooFit::Binning(lH0->GetNbinsX(),lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax()));
else lHDowntemp=(TH1F*) lFit->createHistogram("Down" ,lM,RooFit::Binning(lH0->FindBin(mshift1down),lH0->GetXaxis()->GetXmin(),lH0->GetBinLowEdge(lH0->FindBin(mshift1down))));
lA.setVal(lACentral + lEigVals(1)*lEigVecs(0,1));
lB.setVal(lBCentral + lEigVals(1)*lEigVecs(1,1));
//SHIFT2UP HISTOGRAM
if(iVerbose) cout << "Values for shift 2 up hist: " << " A: " << lA.getVal() << " B: " << lB.getVal() << endl;
lM.setRange(0,2000);
double mshift2up=(-1 * lA.getVal() / lB.getVal() );
if(iFitModel==0 && lFirst < mshift2up && mshift2up < 2000)
{
flag2up=true;
std::cout << "===============================================================================" << std::endl;
std::cout << "Infinite point found in shift 2 up histogram at mass of " << mshift2up << ". Truncating the histogram before that point, setting all bins after to zero." << std::endl;
std::cout << "===============================================================================" << std::endl;
lM.setRange(0,lH0->GetBinLowEdge(lH0->FindBin(mshift2up)));
}
TH1F* lHUp1=0, *lHUp1temp=0;
if(!flag2up) lHUp1 = (TH1F*) lFit->createHistogram("Up1",lM,RooFit::Binning(lH0->GetNbinsX(),lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax()));
else lHUp1temp=(TH1F*) lFit->createHistogram("Up1" ,lM,RooFit::Binning(lH0->FindBin(mshift2up),lH0->GetXaxis()->GetXmin(),lH0->GetBinLowEdge(lH0->FindBin(mshift2up))));
lA.setVal(lACentral - lEigVals(1)*lEigVecs(0,1));
lB.setVal(lBCentral - lEigVals(1)*lEigVecs(1,1));
//SHIFT2DOWN HISTOGRAM
if(iVerbose) cout << "Values for shift 2 down hist: " << " A: " << lA.getVal() << " B: " << lB.getVal() << endl;
lM.setRange(0,2000);
double mshift2down=(-1 * lA.getVal() / lB.getVal() );
if( iFitModel == 0 && lFirst < mshift2down && mshift2down < 2000)
{
flag2down=true;
std::cout << "===============================================================================" << std::endl;
std::cout << "Infinite point found in shift 2 down histogram at mass of " << mshift2down << ". Truncating the histogram before that point, setting all bins after to zero." << std::endl;
std::cout << "===============================================================================" << std::endl;
lM.setRange(0,lH0->GetBinLowEdge(lH0->FindBin(mshift2down)));
}
TH1F* lHDown1=0, *lHDown1temp=0;
if(!flag2down) lHDown1= (TH1F*) lFit->createHistogram("Down1",lM,RooFit::Binning(lH0->GetNbinsX(),lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax()));
else lHDown1temp=(TH1F*) lFit->createHistogram("Down1" ,lM,RooFit::Binning(lH0->FindBin(mshift2down),lH0->GetXaxis()->GetXmin(),lH0->GetBinLowEdge(lH0->FindBin(mshift2down))));
//IF FLAGS HAVE BEEN SET, MERGE WITH EMPTY HISTOGRAM TO FILL THE EMPTY BINS AFTER TRUNCATION POINT
if(flagcentral)
{
TH1F* base0 = new TH1F("base0", "base0", lH0->GetNbinsX(), lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax() );
for(int i=1; i<=lHtemp->GetNbinsX(); i++)
{
base0->Fill(lHtemp->GetBinCenter(i),lHtemp->GetBinContent(i));
}
lH=base0;
lM.setRange(lFirst,2000);
}
if(flag1up)
{
TH1F* base1 = new TH1F("base1", "base1", lH0->GetNbinsX(), lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax() );
for(int i=1; i<=lHUptemp->GetNbinsX(); i++)
{
base1->Fill(lHUptemp->GetBinCenter(i),lHUptemp->GetBinContent(i));
}
lHUp=base1;
lM.setRange(lFirst,2000);
}
if(flag1down)
{
TH1F* base2 = new TH1F("base2", "base2", lH0->GetNbinsX(), lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax() );
for(int i=1; i<=lHDowntemp->GetNbinsX(); i++)
{
base2->Fill(lHDowntemp->GetBinCenter(i),lHDowntemp->GetBinContent(i));
}
lHDown=base2;
lM.setRange(lFirst,2000);
}
if(flag2up)
{
TH1F* base3 = new TH1F("base3", "base3", lH0->GetNbinsX(), lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax() );
for(int i=1; i<=lHUp1temp->GetNbinsX(); i++)
{
base3->Fill(lHUp1temp->GetBinCenter(i),lHUp1temp->GetBinContent(i));
}
lHUp1=base3;
lM.setRange(lFirst,2000);
}
if(flag2down)
{
TH1F* base4 = new TH1F("base4", "base4", lH0->GetNbinsX(), lH0->GetXaxis()->GetXmin(),lH0->GetXaxis()->GetXmax() );
for(int i=1; i<=lHDown1temp->GetNbinsX(); i++)
{
base4->Fill(lHDown1temp->GetBinCenter(i),lHDown1temp->GetBinContent(i));
}
lHDown1=base4;
lM.setRange(lFirst,2000);
}
std::string lNuisance1 = iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy + "_" + iBkg;
std::string lNuisance2 = iBkg+"_"+"CMS_"+iName+"2_" + iDir + "_" + iEnergy + "_" + iBkg;
lHUp = merge(lNuisance1 + "Up" ,lFirst,lH0,lHUp);
lHDown = merge(lNuisance1 + "Down" ,lFirst,lH0,lHDown);
lHUp1 = merge(lNuisance2 + "Up" ,lFirst,lH0,lHUp1);
lHDown1 = merge(lNuisance2 + "Down" ,lFirst,lH0,lHDown1);
lH = merge(lH0->GetName() ,lFirst,lH0,lH);
double I1=lHUp->Integral(lHUp->FindBin(lFirst), lHUp->FindBin(2000));
double I2=lHDown->Integral(lHDown->FindBin(lFirst), lHDown->FindBin(2000));
double I3=lHUp1->Integral(lHUp1->FindBin(lFirst), lHUp1->FindBin(2000));
double I4=lHDown1->Integral(lHDown1->FindBin(lFirst), lHDown1->FindBin(2000));
//If verbosity is set make plot showing the shift up/down/central functions prior to rebinning
if(iVerbose)
{
lH0->SetStats(0);
lH->SetStats(0);
lHUp->SetStats(0);
lHDown->SetStats(0);
lHUp1->SetStats(0);
lHDown1->SetStats(0);
lH0 ->SetLineWidth(1); lH0->SetMarkerStyle(kFullCircle);
lH ->SetLineColor(kGreen+2);
lHUp ->SetLineColor(kRed);
lHUp ->SetLineStyle(9);
lHDown ->SetLineColor(kRed+2);
lHDown ->SetLineStyle(3);
lHDown ->SetLineWidth(2);
lHUp1 ->SetLineColor(kBlue);
lHUp1 ->SetLineStyle(9);
lHDown1->SetLineColor(kBlue+2);
lHDown1->SetLineStyle(3);
lHDown1->SetLineWidth(2);
lH0->SetTitle(0);
lH0->GetXaxis()->SetTitle("m_{#tau#tau} [GeV]");
lH0->GetXaxis()->SetTitleSize(0.05);
lH0->GetYaxis()->SetTitle("dN/dm_{#tau#tau} [1/GeV]");
lH0->GetYaxis()->SetTitleSize(0.05);
lH0->GetYaxis()->SetTitleOffset(1.2);
lH0->GetYaxis()->SetLabelSize(0.0275);
TCanvas *lC0Fine = new TCanvas("CanFine","CanFine",800,600);
lC0Fine->Divide(1,2); lC0Fine->cd(); lC0Fine->cd(1)->SetPad(0,0.2,1.0,1.0); gPad->SetLeftMargin(0.2) ;
lH0 ->Scale(1.0,"width");
lH ->Scale(1.0,"width");
lHUp ->Scale(1.0,"width");
lHDown ->Scale(1.0,"width");
lHUp1 ->Scale(1.0,"width");
lHDown1->Scale(1.0,"width");
lH0->Draw();
lH ->Draw("hist sames");
lHUp ->Draw("hist sames");
lHDown ->Draw("hist sames");
lHUp1 ->Draw("hist sames");
lHDown1->Draw("hist sames");
gPad->SetLogy();
TLegend* leg2;
/// setup the CMS Preliminary
leg2 = new TLegend(0.6, 0.65, 0.9, 0.89);
leg2->SetBorderSize( 0 );
leg2->SetFillStyle ( 1001 );
leg2->SetFillColor (kWhite);
leg2->AddEntry( lH0 , "original", "PL" );
leg2->AddEntry( lH , "central fit", "L" );
leg2->AddEntry( lHUp , "shift1 up", "L" );
leg2->AddEntry( lHDown , "shift1 down", "L" );
leg2->AddEntry( lHUp1 , "shift2 up", "L" );
leg2->AddEntry( lHDown1 , "shift2 down", "L" );
leg2->Draw("same");
lC0Fine->cd(2)->SetPad(0,0,1.0,0.2); gPad->SetLeftMargin(0.2) ;
drawDifference(lH0,lH,lHUp,lHDown,lHUp1,lHDown1);
lH0->SetStats(0);
lC0Fine->Update();
lC0Fine->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Finebin.png").c_str());
lC0Fine->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Finebin.pdf").c_str());
}
//Check if the shift up/down histograms are integrable. If not terminate the script here.
if(addUncerts && (I1 != I1 || I2 != I2 || I3 != I3 || I4 != I4))
{
std::cerr << "===============================================================================" << std::endl;
std::cerr << "Tail fit has succeeded, but 1 or more of the shift up/down histograms is not integrable." << std::endl;
std::cerr << "Script will terminate here without altering datacard. Turn on --verbose option to see the problem histogram." << std::endl;
std::cerr << "===============================================================================" << std::endl;
return 1;
}
//Rebin the histograms
const int lNBins = lData->GetNbinsX();
double *lAxis = getAxis(lData);
lH0 = rebin(lH0 ,lNBins,lAxis);
lH = rebin(lH ,lNBins,lAxis);
lHUp = rebin(lHUp ,lNBins,lAxis);
lHDown = rebin(lHDown ,lNBins,lAxis);
lHUp1 = rebin(lHUp1 ,lNBins,lAxis);
lHDown1 = rebin(lHDown1,lNBins,lAxis);
// we dont need this bin errors since we do not use them (fit tails replaces bin-by-bin error!), therefore i set all errors to 0, this also saves us from modifying the add_bbb_error.py script in which I otherwise would have to include a option for adding bbb only in specific ranges
int lMergeBin = lH->GetXaxis()->FindBin(iFirst);
for(int i0 = lMergeBin; i0 < lH->GetNbinsX()+1; i0++){
lH->SetBinError (i0,0);
lHUp->SetBinError (i0,0);
lHDown->SetBinError (i0,0);
lHUp1->SetBinError (i0,0);
lHDown1->SetBinError (i0,0);
}
//Save the rebinned templates to the datacard root file
TFile *lOutFile =new TFile("Output.root","RECREATE");
cloneFile(lOutFile,lFile,iDir+"/"+iBkg);
lOutFile->cd(iDir.c_str());
lH->Write();
if(addUncerts){
lHUp ->Write();
lHDown ->Write();
lHUp1 ->Write();
lHDown1->Write();
}
// Make the plot showing shift up/down/central templates, rebinned as in datacard
lH0->SetStats(0);
lH->SetStats(0);
lHUp->SetStats(0);
lHDown->SetStats(0);
lHUp1->SetStats(0);
lHDown1->SetStats(0);
lH0 ->SetLineWidth(1); lH0->SetMarkerStyle(kFullCircle);
lH ->SetLineColor(kGreen+2);
lHUp ->SetLineColor(kRed);
lHUp ->SetLineStyle(9);
lHDown ->SetLineColor(kRed+2);
lHDown ->SetLineStyle(3);
lHDown ->SetLineWidth(2);
lHUp1 ->SetLineColor(kBlue);
lHUp1 ->SetLineStyle(9);
lHDown1->SetLineColor(kBlue+2);
lHDown1->SetLineStyle(3);
lHDown1->SetLineWidth(2);
lH0->SetTitle(0);
lH0->GetXaxis()->SetTitle("m_{#tau#tau} [GeV]");
lH0->GetXaxis()->SetTitleSize(0.05);
lH0->GetYaxis()->SetTitle("dN/dm_{#tau#tau} [1/GeV]");
lH0->GetYaxis()->SetTitleSize(0.05);
lH0->GetYaxis()->SetTitleOffset(1.2);
lH0->GetYaxis()->SetLabelSize(0.0275);
TCanvas *lC0 = new TCanvas("Can","Can",800,600);
lC0->Divide(1,2); lC0->cd(); lC0->cd(1)->SetPad(0,0.2,1.0,1.0); gPad->SetLeftMargin(0.2) ;
lH0 ->Scale(1.0,"width");
lH ->Scale(1.0,"width");
lHUp ->Scale(1.0,"width");
lHDown ->Scale(1.0,"width");
lHUp1 ->Scale(1.0,"width");
lHDown1->Scale(1.0,"width");
lH0->Draw();
lH ->Draw("hist sames");
lHUp ->Draw("hist sames");
lHDown ->Draw("hist sames");
lHUp1 ->Draw("hist sames");
lHDown1->Draw("hist sames");
gPad->SetLogy();
TLegend* leg1;
/// setup the CMS Preliminary
leg1 = new TLegend(0.6, 0.65, 0.9, 0.89);
leg1->SetBorderSize( 0 );
leg1->SetFillStyle ( 1001 );
leg1->SetFillColor (kWhite);
leg1->AddEntry( lH0 , "original", "PL" );
leg1->AddEntry( lH , "central fit", "L" );
leg1->AddEntry( lHUp , "shift1 up", "L" );
leg1->AddEntry( lHDown , "shift1 down", "L" );
leg1->AddEntry( lHUp1 , "shift2 up", "L" );
leg1->AddEntry( lHDown1 , "shift2 down", "L" );
leg1->Draw("same");
lC0->cd(2)->SetPad(0,0,1.0,0.2); gPad->SetLeftMargin(0.2) ;
drawDifference(lH0,lH,lHUp,lHDown,lHUp1,lHDown1);
lH0->SetStats(0);
lC0->Update();
lC0->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Rebin.png").c_str());
lC0->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Rebin.pdf").c_str());
//Make additional output plots of shift up and down histos if verbosity is set
if(iVerbose)
{
TCanvas *lC1 = new TCanvas("Can1","Can1",800,600);
lHUp->Draw();
//gPad->SetLogy();
lC1->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Shift1Up.png").c_str());
lC1->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Shift1Up.pdf").c_str());
TCanvas *lC2 = new TCanvas("Can2","Can2",800,600);
lHDown->Draw();
// gPad->SetLogy();
lC2->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Shift1Down.png").c_str());
lC2->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Shift1Down.pdf").c_str());
TCanvas *lC3 = new TCanvas("Can3","Can3",800,600);
lHUp1->Draw();
// gPad->SetLogy();
lC3->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Shift2Up.png").c_str());
lC3->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Shift2Up.pdf").c_str());
TCanvas *lC4 = new TCanvas("Can4","Can4",800,600);
lHDown1->Draw();
// gPad->SetLogy();
lC4->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Shift2Down.png").c_str());
lC4->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Shift2Down.pdf").c_str());
}
lA.setVal(lACentral);
lB.setVal(lBCentral);
lM.setRange(lFirst,2000);
TCanvas* c1 = new TCanvas("c1","c1",600,600);
RooPlot* mframe = lM.frame(RooFit::Name("mframe"),RooFit::Title("Tail fit in fit range"));
pH0->plotOn(mframe, RooFit::Name("data"), RooFit::MarkerColor(kBlack));
lFit->plotOn(mframe, RooFit::Name("model"), RooFit::DrawOption("L"), RooFit::Range(lFirst,2000));
lFit->plotOn(mframe, RooFit::Components(*lFit), RooFit::LineColor(kRed), RooFit::Range(lFirst,2000));
mframe->GetYaxis()->SetRangeUser(0,lH0->GetBinContent(lH0->FindBin(lFirst)));
mframe->Draw();
Double_t chi2 = mframe->chiSquare();
Double_t ndoff = mframe->GetNbinsX();
std::cout << "==========================================================================================================" << std::endl;
std::cout << "Goodness of fit: " << chi2/ndoff << " with statistics in fit range: " << lH0->Integral(lH0->FindBin(lFirst),lH0->FindBin(2000)) << std::endl;
std::cout << "==========================================================================================================" << std::endl;
//If verbosity is set also output the fit function just in the tail fit range, no log scale
if(iVerbose) c1->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Function.png").c_str());
if(iVerbose) c1->SaveAs((iBkg+"_"+"CMS_"+iName+"1_" + iDir + "_" + iEnergy+"_Function.pdf").c_str());
if(iTestMode)
{
std::cout << "Running in test mode. Script will exit now without altering datacard or uncertainty files." << std::endl;
return 1;
}
return 0;
}
int addFitNuisance(std::string iFileName="test.root",std::string iChannel="muTau",std::string iBkg="W",std::string iEnergy="8TeV",std::string iName="shift",std::string iCategory="9",double iFirst=150,double iLast=1500,int iFitModel=1,bool iVerbose=true,bool iVarBin=false,bool addUncerts=true,bool iTestMode=false) {
// Also possible old MSSM categorization (for testing)
if(iCategory=="0") return addNuisance (iFileName,iChannel,iBkg,iEnergy,iName,iChannel+"_0jet_low" ,iVerbose,iVarBin,iFitModel,iFirst,iLast,addUncerts,iTestMode);
if(iCategory=="1") return addNuisance (iFileName,iChannel,iBkg,iEnergy,iName,iChannel+"_0jet_high" ,iVerbose,iVarBin,iFitModel,iFirst,iLast,addUncerts,iTestMode);
if(iCategory=="2") return addNuisance (iFileName,iChannel,iBkg,iEnergy,iName,iChannel+"_boost_low" ,iVerbose,iVarBin,iFitModel,iFirst,iLast,addUncerts,iTestMode);
if(iCategory=="3") return addNuisance (iFileName,iChannel,iBkg,iEnergy,iName,iChannel+"_boost_high",iVerbose,iVarBin,iFitModel,iFirst,iLast,addUncerts,iTestMode);
if(iCategory=="6") return addNuisance (iFileName,iChannel,iBkg,iEnergy,iName,iChannel+"_btag_low" ,iVerbose,iVarBin,iFitModel,iFirst,iLast,addUncerts,iTestMode);
if(iCategory=="7") return addNuisance (iFileName,iChannel,iBkg,iEnergy,iName,iChannel+"_btag_high" ,iVerbose,iVarBin,iFitModel,iFirst,iLast,addUncerts,iTestMode);
if(iCategory=="8") return addNuisance (iFileName,iChannel,iBkg,iEnergy,iName,iChannel+"_nobtag" ,iVerbose,iVarBin,iFitModel,iFirst,iLast,addUncerts,iTestMode);
if(iCategory=="9") return addNuisance (iFileName,iChannel,iBkg,iEnergy,iName,iChannel+"_btag" ,iVerbose,iVarBin,iFitModel,iFirst,iLast,addUncerts,iTestMode);
return 0;
}