Several scripts to modify datacards
Example working folder:
cmsneu/lxplus
/afs/cern.ch/user/a/amassiro/Limit/ModificationDatacards
/home/amassiro/Cern/Code/VBF/RepositoryDataCardNewLumi/summer2013/ModificationDatacards
Kate:
lxplus-Combine
cd ~/Framework/Combine/CMSSW_8_1_0/src/
eval `scramv1 runtime -sh`
cd -
Check the yield of given samples in some or all categories, and remove the sample if the yield is below some threshold (default threshold = 9999999...)
python RemoveSample.py datacard.txt -o outdatacard.txt -i inputRemoveName.py --threshold 0.01
In order to check all samples in the datacard use the 'ALL' tag in the input file, i.e.:
python RemoveSample.py datacard.txt -o outdatacard.txt -i inputRemoveAllSamplesBelowThreshold.py --threshold 0.01
Check if a nuisance, selected by a string match with wild cards, has an effect smaller than A %. If yes, remove the nuisance. Create a copy of the datacard, do not touch the root file.
python PruneDatacard.py -d hwwof_shape.txt -o hwwof_shape_pruned.txt -i nuisances_to_prune.py
python PruneDatacard.py \
-d /afs/cern.ch/user/a/amassiro/Framework/CMSSW_7_6_3/src/PlotsConfigurations/Configurations/ggHTest/datacards/hww2l2v_13TeV_em_0j/mllVSmth/datacard.txt \
-o datacard.test.txt \
-i examples/input_nuisances_to_prune.py
python PruneDatacard.py \
-d /afs/cern.ch/user/a/amassiro/Framework/CMSSW_7_6_3/src/PlotsConfigurations/Configurations/ggHTest/datacards/hww2l2v_13TeV_me_1j/mllVSmth/datacard.txt \
-o datacard.test.txt \
-i examples/input_nuisances_to_prune.py
python PruneDatacard.py \
-d /afs/cern.ch/user/a/amassiro/Framework/CMSSW_8_0_5/src/PlotsConfigurations/Configurations/VBF/datacards/hww2l2v_13TeV_top_of2j_vbf/events/datacard.txt \
-o /afs/cern.ch/user/a/amassiro/Framework/CMSSW_8_0_5/src/PlotsConfigurations/Configurations/VBF/datacards/hww2l2v_13TeV_top_of2j_vbf/events/datacard.txt.pruned.txt \
--suppressNegative=True --suppressFluctuationError=True -i examples/input_nuisances_to_prune_aggressive.py
python ScaleOneSample.py -d hwwof_2j_shape_7TeV.txt -i inputScale7TeV.py
and for multi-modifications:
bash examples/doScale125to126GeV.sh
python ChangeName.py -d hww-19.36fb.mH125.txt -i inputName.py
python ScaleOneNuisance.py -d hww-19.36fb.mH125.txt -i inputScaleNuisance.py
transform gmN into lnN. To easy perform signal injection without any bias (bug in combine?) and to remove gmN in case of "many" events in control region
python TransformGmN.py -d hww-19.36fb.mH125.txt
transform a shape based datacard into a cut based one. To be performed for: * check of the gain of shape analysis, w.r.t just merging * easy read a simple cut based analysis, created through the shape package
python TransformShapeToCutBased.py -d hww-19.36fb.mH125_toBeUsed.txt
clone one sample into a sample with a new name. Used to split VH into ZH and WH. Only for cut based datacard! Nuisances are "cloned" to the new sample. No new nuisances are added
python CloneSample.py hww-19.36fb.mH125.sf_0j_shape.txt -i inputClonedName.py
remove one sample from the datacard. Used to remove useless (0) ttH sample
python RemoveSample.py hww-19.36fb.mH125.sf_0j_shape.txt -i inputRemoveName.py
example:
bash examples/doRemoveTTH.sh
bash examples/doTransformSVNDatacardsSearchesCouplings.sh
change the name of the nuisances in the datacard, for example "met" into "met_res" or adding "_7TeV" on some nuisances.
python ChangeNameNuisance.py -d hww-19.36fb.mH125_toBeUsed.txt -i inputNameNuisance.py
e.g.
python ../ScaleOneNuisance.py -d hwwof_0j_shape_8TeV.txt -i ../inputScaleNuisance.py
cd /afs/cern.ch/user/a/amassiro/scratch0/VBF/Limit/CMSSW_6_1_0/src
export SCRAM_ARCH=slc5_amd64_gcc462
cmsenv
cd -
combine hwwof_0j_shape_8TeV.txt -M MaxLikelihoodFit --rMin=-1 --expectSignal=1 -t -1
combineCards.py -S sf0j=hwwsf_0j_cut_8TeV.txt sf1j=hwwsf_1j_cut_8TeV.txt of0j=hwwof_0j_shape_8TeV.txt of1j=hwwof_1j_shape_8TeV.txt > total.txt
e.g. for ww
cd /afs/cern.ch/user/a/amassiro/Limit/ModificationDatacards
mkdir ww
scp amassiro@cmsneu:/home/amassiro/Latinos/Shape/playground/WW?Fcut?jet.tgz ww/
cd ww
tar -xf WWDFcut0jet.tgz
mv datacards WWDFcut0jet
tar -xf WWDFcut1jet.tgz
mv datacards WWDFcut1jet
tar -xf WWSFcut0jet.tgz
mv datacards WWSFcut0jet
tar -xf WWSFcut1jet.tgz
mv datacards WWSFcut1jet
cd WWDFcut0jet
python ../../TransformShapeToCutBased.py -d hww-19.36fb.mH125.of_0j_shape.txt
cd ..
cd WWDFcut1jet
python ../../TransformShapeToCutBased.py -d hww-19.36fb.mH125.of_1j_shape.txt
cd ..
cd WWSFcut0jet
python ../../TransformShapeToCutBased.py -d hww-19.36fb.mH125.sf_0j_shape.txt
cd ..
cd WWSFcut1jet
python ../../TransformShapeToCutBased.py -d hww-19.36fb.mH125.sf_1j_shape.txt
cd ..
rm -r WW?Fcut?jet/shapes/
e.g. for hwidth hww
cd /afs/cern.ch/user/a/amassiro/Limit/ModificationDatacards
mkdir hwidth
scp amassiro@cmsneu:/home/amassiro/Latinos/Shape/playground/Hwidth/?jetDF8TeV.tgz hwidth/
cd hwidth
tar -xf 0jetDF8TeV.tgz
mv datacards 0jetDF8TeV
tar -xf 1jetDF8TeV.tgz
mv datacards 1jetDF8TeV
tar -xf 2jetDF8TeV.tgz
mv datacards 2jetDF8TeV
cd 0jetDF8TeV
python ../../TransformShapeToCutBased.py -d hww-19.36fb.mH125.of_0j_shape.txt
cd ..
cd 1jetDF8TeV
python ../../TransformShapeToCutBased.py -d hww-19.36fb.mH125.of_1j_shape.txt
cd ..
cd 2jetDF8TeV
python ../../TransformShapeToCutBased.py -d hww-19.36fb.mH125.of_2j_shape.txt
cd ..
rm -r ?jetDF8TeV/shapes/
e.g. for svn datacards https://svnweb.cern.ch/cern/wsvn/cmshcg/trunk/summer2013/
mkdir couplings
cd couplings
svn co svn+ssh://[email protected]/reps/cmshcg/trunk/summer2013/couplings/vhww
change VH into ZH and WH: 1.2427/0.4300 = WH/ZH: WH = 74% ZH = 26%
svn co svn+ssh://[email protected]/reps/cmshcg/trunk/summer2013/searches/hww2l2v svn co svn+ssh://[email protected]/reps/cmshcg/trunk/summer2013/searches/vhww
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