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run_model-indep_with-ml-cats_limits_per_channel.sh
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run_model-indep_with-ml-cats_limits_per_channel.sh
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# based on https://github.com/KIT-CMS/MSSMvsSMRun2Legacy/tree/ntuple_processor
ulimit -s unlimited
TAG=$1
MODE=$2
CHANNEL=$3
ERA=$4
if [[ $TAG == "auto" ]]; then
TAG="${CHANNEL}_${ERA}_ind"
fi
if [[ $ERA == "2016" ]]; then
LUMI="36.3 fb^{-1} (2016, 13 TeV)"
elif [[ $ERA == "2017" ]]; then
LUMI="41.5 fb^{-1} (2017, 13 TeV)"
elif [[ $ERA == "2018" ]]; then
LUMI="59.7 fb^{-1} (2018, 13 TeV)"
fi
defaultdir=analysis/$TAG
analysis="bsm-model-indep"
hSM_treatment="hSM-in-bg"
categorization="with-sm-ml"
sm_like_hists="bsm"
[[ ! -d ${defaultdir} ]] && mkdir -p ${defaultdir}
[[ ! -d ${defaultdir}/logs ]] && mkdir -p ${defaultdir}/logs
[[ ! -d ${defaultdir}/limits/condor ]] && mkdir -p ${defaultdir}/limits/condor
[[ ! -d ${defaultdir}/limits_ind/condor ]] && mkdir -p ${defaultdir}/limits_ind/condor
defaultdir=$(readlink -f analysis/$TAG)
datacarddir=${defaultdir}/datacards_${analysis}
taskname="${analysis}_${TAG}_1"
taskname2="${analysis}_${TAG}_2"
if [[ $MODE == "initial" ]]; then
############
# morphing
############
morph_parallel.py --output ${defaultdir}/datacards \
--analysis ${analysis} \
--hSM-treatment ${hSM_treatment} \
--sub-analysis "sm-like-light" \
--categorization ${categorization} \
--sm-like-hists ${sm_like_hists} \
--eras 2016,2017,2018 \
--category-list ${CMSSW_BASE}/src/CombineHarvester/MSSMvsSMRun2Legacy/input/by_channel/sm_neuralnet_categories_$CHANNEL.txt \
--variable nnscore \
--sm-gg-fractions ${CMSSW_BASE}/src/CombineHarvester/MSSMvsSMRun2Legacy/data/higgs_pt_reweighting_fullRun2.root \
--sm \
--parallel 10 2>&1 | tee -a ${defaultdir}/logs/morph_sm_log.txt
morph_parallel.py --output ${defaultdir}/datacards \
--analysis ${analysis} \
--hSM-treatment ${hSM_treatment} \
--categorization ${categorization} \
--sm-like-hists ${sm_like_hists} \
--eras 2016,2017,2018 \
--category-list ${CMSSW_BASE}/src/CombineHarvester/MSSMvsSMRun2Legacy/input/by_channel/mssm_signal_categories_$CHANNEL.txt \
--variable mt_tot_puppi \
--sm-gg-fractions ${CMSSW_BASE}/src/CombineHarvester/MSSMvsSMRun2Legacy/data/higgs_pt_reweighting_fullRun2.root \
--parallel 10 2>&1 | tee -a ${defaultdir}/logs/morph_mssm_log.txt
############
# combining outputs
############
mkdir -p ${datacarddir}/combined/cmb/
rsync -av --progress ${datacarddir}/201?/htt_*/* ${datacarddir}/combined/cmb/ 2>&1 | tee -a ${defaultdir}/logs/copy_datacards.txt
mkdir -p ${datacarddir}/${ERA}/cmb/
rsync -av --progress ${datacarddir}/${ERA}/htt_*/* ${datacarddir}/${ERA}/cmb/ 2>&1 | tee -a ${defaultdir}/logs/copy_datacards_${ERA}.txt
mkdir -p ${datacarddir}/${ERA}/${CHANNEL}/
rsync -av --progress ${datacarddir}/${ERA}/htt_${CHANNEL}*/* ${datacarddir}/${ERA}/${CHANNEL}/
rsync -av --progress ${datacarddir}/${ERA}/htt_${CHANNEL}* ${datacarddir}/${ERA}/${CHANNEL}/
rsync -av --progress ${datacarddir}/${ERA}/restore_binning ${datacarddir}/${ERA}/${CHANNEL}/restore_binning
elif [[ $MODE == "ws" ]]; then
############
# workspace creation
############
combineTool.py -M T2W -o "ws.root" \
-P HiggsAnalysis.CombinedLimit.PhysicsModel:multiSignalModel \
--PO '"map=^.*/ggh_(i|t|b).?$:r_ggH[0,0,200]"' \
--PO '"map=^.*/bbh$:r_bbH[0,0,200]"' \
-i ${datacarddir}/${ERA}/${CHANNEL} \
-m 110 --parallel 4 | tee -a ${defaultdir}/logs/workspace_independent_${ERA}_${CHANNEL}.txt
# # Extract prefit shapes.
# prefit_postfit_shapes_parallel.py --datacard_pattern "output_mssm/201?/htt_*/combined.txt.cmb" \
# --workspace_name ws.root \
# --freeze_arguments "--freeze $FREEZE" \
# --output_name prefit_shapes_${FREEZE}.root
# --parallel $CORES
# hadd -f prefit_shapes_${FREEZE}.root output_mssm/201?/htt_*/prefit_shapes_${FREEZE}.root
############
# job setup creation
############
cd ${defaultdir}/limits_ind/condor
combineTool.py -m "60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500" \
-M AsymptoticLimits \
--rAbsAcc 0 \
--rRelAcc 0.0005 \
--boundlist ${CMSSW_BASE}/src/CombineHarvester/MSSMvsSMRun2Legacy/input/mssm_boundaries.json \
--setParameters r_ggH=0,r_bbH=0 \
--redefineSignalPOIs r_bbH \
-d ${datacarddir}/${ERA}/${CHANNEL}/ws.root \
--there -n ".bbH" \
--job-mode condor \
--dry-run \
--task-name bbH_full_${ERA}_${CHANNEL} \
--X-rtd MINIMIZER_analytic \
--cminDefaultMinimizerStrategy 0 \
--cminDefaultMinimizerTolerance 0.01 \
-v 1 | tee -a ${defaultdir}/logs/job_setup_modelind_bbh_${ERA}_${CHANNEL}.txt
combineTool.py -m "60,80,100,120,125,130,140,160,180,200,250,300,350,400,450,500,600,700,800,900,1000,1200,1400,1600,1800,2000,2300,2600,2900,3200,3500" \
-M AsymptoticLimits \
--rAbsAcc 0 \
--rRelAcc 0.0005 \
--boundlist ${CMSSW_BASE}/src/CombineHarvester/MSSMvsSMRun2Legacy/input/mssm_boundaries.json \
--setParameters r_ggH=0,r_bbH=0 \
--redefineSignalPOIs r_ggH \
-d ${datacarddir}/${ERA}/${CHANNEL}/ws.root \
--there -n ".ggH" \
--job-mode condor \
--dry-run \
--task-name ggH_full_${ERA}_${CHANNEL} \
--X-rtd MINIMIZER_analytic \
--cminDefaultMinimizerStrategy 0 \
--cminDefaultMinimizerTolerance 0.01 \
-v 1 | tee -a ${defaultdir}/logs/job_setup_modelind_ggh_${ERA}_${CHANNEL}.txt
elif [[ $MODE == "submit" ]]; then
############
# job submission
############
cd ${defaultdir}/limits_ind/condor
condor_submit condor_bbH_full_${ERA}_${CHANNEL}.sub
condor_submit condor_ggH_full_${ERA}_${CHANNEL}.sub
elif [[ $MODE == "submit-local" ]]; then
############
# job submission
############
cp scripts/run_limits_locally.py ${defaultdir}/limits_ind/condor
cd ${defaultdir}/limits_ind/condor
python run_limits_locally.py --cores 27 --njobs 27 --taskname condor_bbH_full_${ERA}_${CHANNEL}.sh | tee -a ${defaultdir}/logs/fit_bbh_${ERA}_${CHANNEL}.txt
python run_limits_locally.py --cores 27 --njobs 27 --taskname condor_ggH_full_${ERA}_${CHANNEL}.sh | tee -a ${defaultdir}/logs/fit_ggh_${ERA}_${CHANNEL}.txt
elif [[ $MODE == "collect" ]]; then
for p in gg bb
do
combineTool.py -M CollectLimits ${datacarddir}/${ERA}/${CHANNEL}/higgsCombine.${p}H*.root \
--use-dirs \
-o ${datacarddir}/${ERA}/${CHANNEL}/mssm_${p}H_${ERA}_${CHANNEL}.json
done
elif [[ $MODE == "plot" ]]; then
for p in gg bb
do
plotMSSMLimits.py --cms-sub "Preliminary" \
--title-right="${CHANNEL} - ${LUMI}" \
--process "${p}#phi" \
--y-axis-min 0.0001 \
--y-axis-max 1000.0 \
--show exp,obs ${datacarddir}/${ERA}/${CHANNEL}/mssm_${p}H_${ERA}_${CHANNEL}_${CHANNEL}.json \
--output mssm_model-independent_${p}H_${ERA}_${CHANNEL} \
--logx \
--logy
mv mssm_model-independent_${p}H_${ERA}_${CHANNEL}.{png,pdf} ${defaultdir}/limits_ind
done
elif [[ $MODE == "prefit" ]]; then
FREEZE="MH=450,r_ggH=0.002,r_bbH=0.002"
prefit_postfit_shapes_parallel.py --datacard_pattern "analysis/mt_16_debug_independent/datacards_mssm/$ERA/$CHANNEL/combined.txt.cmb" \
--workspace_name ws.root \
--freeze_arguments "--freeze $FREEZE" \
--output_name prefit_shapes_${FREEZE}.root \
--parallel 1
hadd -f prefit_shapes_${FREEZE}.root output_mssm/201?/htt_*/prefit_shapes_${FREEZE}.root
elif [[ $MODE == "impacts" ]]; then
combineTool.py -M Impacts -d ${datacarddir}/${ERA}/${CHANNEL}/ws.root \
-m 125 \
--X-rtd MINIMIZER_analytic --cminDefaultMinimizerStrategy 0 \
--doInitialFit --robustFit 1 \
-t -1 --setParameters r_ggH=0,r_bbH=0 \
--parallel 16
combineTool.py -M Impacts -d ${datacarddir}/${ERA}/${CHANNEL}/ws.root \
-m 125 \
--X-rtd MINIMIZER_analytic --cminDefaultMinimizerStrategy 0 \
--robustFit 1 --doFits \
-t -1 --setParameters r_ggH=0,r_bbH=0 \
--parallel 16
combineTool.py -M Impacts \
-d ${datacarddir}/${ERA}/${CHANNEL}/ws.root \
-m 125 \
-o ${ERA}_${CHANNEL}_impacts.json
plotImpacts.py -i ${ERA}_${CHANNEL}_impacts.json -o ${ERA}_${CHANNEL}_impacts
fi