This is an attempt for a modified NanoAOD, suited for the analysis need from SUSY, mainly focus on the stop all-hadroinc searches.
The code follows contributions from various sources as below:
- NanoHRT from huilin: https://github.com/hqucms/NanoHRT
- METSig from Daniel: https://github.com/danbarto/cmssw/blob/sumPtForMETSig/PhysicsTools/NanoAOD/plugins/METSignificanceInputProducer.cc
source /cvmfs/cms.cern.ch/cmsset_default.csh
setenv SCRAM_ARCH slc6_amd64_gcc700
cmsrel CMSSW_10_2_9
cd CMSSW_10_2_9/src/
cmsenvgit cms-merge-topic -u pastika:AddAxis1_1026
git clone https://github.com/cms-nanoAOD/nanoAOD-tools.git PhysicsTools/NanoAODTools
git clone [email protected]:susy2015/TopTagger.git
git clone [email protected]:susy2015/NanoSUSY.git PhysicsTools/NanoSUSY
scram build -j 8cd PhysicsTools/NanoSUSY/crab
mkdir -p ${CMSSW_BASE}/src/TopTagger/TopTagger/data
$CMSSW_BASE/src/TopTagger/TopTagger/scripts/getTaggerCfg.sh -o -n -t DeepResolved_DeepCSV_GR_noDisc_Release_v1.0.0 -d $CMSSW_BASE/src/TopTagger/TopTagger/dataThis is where all lumi's live: https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/ *Summer2016 94X:https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions16/13TeV/ReReco/Final/Cert_271036-284044_13TeV_23Sep2016ReReco_Collisions16_JSON.txt *Fall17 :https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions17/13TeV/ReReco/Cert_294927-306462_13TeV_EOY2017ReReco_Collisions17_JSON_v1.txt *Autumn18:https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions18/13TeV/PromptReco/Cert_314472-325175_13TeV_PromptReco_Collisions18_JSON.txt
These live here: https://twiki.cern.ch/twiki/bin/view/CMS/JECDataMC
*Summer2016 94X:94X_mcRun2_asymptotic_v3 *Fall17:102X_upgrade2018_realistic_v16 *Autumn18:102X_upgrade2018_realistic_v16
Remember if using auto tag that it has to exist in the CMSSW here: https://github.com/cms-sw/cmssw/blob/CMSSW_10_2_X/Configuration/AlCa/python/autoCond.py If it does not exist in the CMSSW version because it came later than auto tag will not work.
For 2016 80X MC, '/*/RunIISummer16MiniAODv2*/MINIAODSIM'
cmsDriver.py prod2016MCv2 -s NANO --mc --eventcontent NANOAODSIM --datatier NANOAODSIM --filein /store/mc/RunIISummer16MiniAODv2/TTJets_SingleLeptFromT_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/50000/621E65CB-98BE-E611-BC32-00259029E7FC.root --no_exec --conditions 102X_mcRun2_asymptotic_v6 -n 100 --era Run2_2016,run2_miniAOD_80XLegacy --customise TopTagger/TopTagger/resolvedTagger_cff.customizeResolvedTaggerAllCanidiatesAndVariables --customise PhysicsTools/NanoSUSY/nanoSUSY_cff.nanoSUSY_customize80XLegacy
cmsRun prod2016MCv2_NANO.py
For 2016 80X Fastsim, '/*/RunIISpring16MiniAODv*/MINIAODSIM'
cmsDriver.py prod2016Fastv2 -s NANO --mc --eventcontent NANOAODSIM --datatier NANOAODSIM --filein /store/mc/RunIISpring16MiniAODv2/SMS-T2tt_mStop-150to250_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/MINIAODSIM/PUSpring16Fast_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/10000/1C8E082A-9140-E611-8C60-008CFA1974D8.root --no_exec --conditions 102X_mcRun2_asymptotic_v6 -n 100 --era Run2_2016,run2_miniAOD_80XLegacy --customise TopTagger/TopTagger/resolvedTagger_cff.customizeResolvedTaggerAllCanidiatesAndVariables --customise PhysicsTools/NanoSUSY/nanoSUSY_cff.nanoSUSY_customize80XLegacy --fast
cmsRun prod2016Fastv2_NANO.py
For 2016 94X MC, '/*/RunIISummer16MiniAODv3*/MINIAODSIM'
cmsDriver.py prod2016MC -s NANO --mc --eventcontent NANOAODSIM --datatier NANOAODSIM --filein /store/mc/RunIISummer16MiniAODv3/TTJets_SingleLeptFromT_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/MINIAODSIM/PUMoriond17_94X_mcRun2_asymptotic_v3_ext1-v2/120000/1E4DDC30-2AEB-E811-BBB1-0CC47A5FA3BD.root --no_exec --conditions 94X_mcRun2_asymptotic_v3 -n 100 --era Run2_2016,run2_nanoAOD_94X2016 --customise TopTagger/TopTagger/resolvedTagger_cff.customizeResolvedTaggerAllCanidiatesAndVariables --customise PhysicsTools/NanoSUSY/nanoSUSY_cff.nanoSUSY_customizeCommon
cmsRun prod2016MC_NANO.py
For 2017 MC, '/*/RunIIFall17*12Apr2018*/MINIAODSIM'
cmsDriver.py prod2017MC -s NANO --mc --eventcontent NANOAODSIM --datatier NANOAODSIM --filein /store/user/benwu/Stop18/NtupleSyncMiniAOD/00257B91-1808-E811-BD39-0242AC130002.root --no_exec --conditions auto:phase1_2017_realistic -n 100 --era Run2_2017,run2_nanoAOD_94XMiniAODv1 --customise TopTagger/TopTagger/resolvedTagger_cff.customizeResolvedTaggerAllCanidiatesAndVariables --customise PhysicsTools/NanoSUSY/nanoSUSY_cff.nanoSUSY_customizeCommon
cmsRun prod2017MC_NANO.py
source /cvmfs/cms.cern.ch/crab3/crab.csh
grid-proxy-init -debug -verify
python crab.py -p prod2016MC.py -i example_16MC -o /store/user/benwu/StopStudy/TestNanoSUSY -t testTo be updated:
Data:
cmsDriver.py test_nanoHRT_data -n 1000 --data --eventcontent NANOAOD --datatier NANOAOD --conditions 94X_dataRun2_v4 --step NANO --nThreads 4 --era Run2_2016,run2_miniAOD_80XLegacy --customise PhysicsTools/NanoHRT/nanoHRT_cff.nanoHRT_customizeData_METMuEGClean --filein /store/data/Run2016G/JetHT/MINIAOD/03Feb2017-v1/100000/006E7AF2-AEEC-E611-A88D-7845C4FC3B00.root --fileout file:nano_data.root >& test_data.log &
less +F test_data.logStep 0: switch to the crab production directory and set up grid proxy, CRAB environment, etc.
cd $CMSSW_BASE/PhysicsTools/NanoHRT/crab
# set up grid proxy
voms-proxy-init -rfc -voms cms --valid 168:00
# set up CRAB env (must be done after cmsenv)
source /cvmfs/cms.cern.ch/crab3/crab.shStep 1: generate the python config file with cmsDriver.py with the following commands:
MC (80X, MiniAODv2):
cmsDriver.py mc -n -1 --mc --eventcontent NANOAODSIM --datatier NANOAODSIM --conditions 94X_mcRun2_asymptotic_v2 --step NANO --nThreads 4 --era Run2_2016,run2_miniAOD_80XLegacy --customise PhysicsTools/NanoHRT/nanoHRT_cff.nanoHRT_customizeMC --filein file:step-1.root --fileout file:nano.root --no_execData (23Sep2016 ReReco):
cmsDriver.py data -n -1 --data --eventcontent NANOAOD --datatier NANOAOD --conditions 94X_dataRun2_v4 --step NANO --nThreads 4 --era Run2_2016,run2_miniAOD_80XLegacy --customise PhysicsTools/NanoHRT/nanoHRT_cff.nanoHRT_customizeData_METMuEGClean --filein file:step-1.root --fileout file:nano.root --no_execStep 2: use the crab.py script to submit the CRAB jobs:
For MC:
python crab.py -p mc_NANO.py -o /store/group/lpcjme/noreplica/NanoHRT/mc/[version] -t NanoTuples-[version] -i mc_[ABC].txt --num-cores 4 --send-external -s EventAwareLumiBased -n 50000 --work-area crab_projects_mc_[ABC] --dryrun
For data:
python crab.py -p data_NANO.py -o /store/group/lpcjme/noreplica/NanoHRT/data/[version] -t NanoTuples-[version] -i data.txt --num-cores 4 --send-external -s EventAwareLumiBased -n 50000 --work-area crab_projects_data --dryrun
A JSON file can be applied for data samples with the -j options. By default, we use the golden JSON for 2016:
https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions16/13TeV/ReReco/Final/Cert_271036-284044_13TeV_23Sep2016ReReco_Collisions16_JSON.txt
These command will perform a "dryrun" to print out the CRAB configuration files. Please check everything is correct (e.g., the output path, version number, requested number of cores, etc.) before submitting the actual jobs. To actually submit the jobs to CRAB, just remove the --dryrun option at the end.
Step 3: check job status
The status of the CRAB jobs can be checked with:
./crab.py --status --work-area crab_projects_[ABC]Note that this will also resubmit failed jobs automatically.
The crab dashboard can also be used to get a quick overview of the job status:
https://dashb-cms-job.cern.ch/dashboard/templates/task-analysis
More options of this crab.py script can be found with:
./crab.py -h