All of the necessary setup (including checkout of this repo, dependencies, and CMSSW compilation) is performed by setup.sh.
To make GEN or GEN-SIM samples, CMSSW_7_1_44 is used (which includes Pythia8.226).
wget https://raw.githubusercontent.com/kpedro88/SVJProduction/master/setup.sh
chmod +x setup.sh
./setup.sh -c CMSSW_7_1_44
cd CMSSW_7_1_44/src
cmsenv
cd SVJ/Production
To make MINIAOD (or DIGI/RECO/AOD) samples, CMSSW_8_0_28 is used:
wget https://raw.githubusercontent.com/kpedro88/SVJProduction/master/setup.sh
chmod +x setup.sh
./setup.sh -c CMSSW_8_0_28
cd CMSSW_8_0_28/src
cmsenv
cd SVJ/Production
To make GEN or GEN-SIM samples, CMSSW_9_3_14 is used (which includes Pythia8.230).
wget https://raw.githubusercontent.com/kpedro88/SVJProduction/master/setup.sh
chmod +x setup.sh
./setup.sh -c CMSSW_9_3_14
cd CMSSW_9_3_14/src
cmsenv
cd SVJ/Production
To make MINIAOD (or DIGI/RECO/AOD) samples, CMSSW_9_4_10 is used:
wget https://raw.githubusercontent.com/kpedro88/SVJProduction/master/setup.sh
chmod +x setup.sh
./setup.sh -c CMSSW_9_4_10
cd CMSSW_9_4_10/src
cmsenv
cd SVJ/Production
2016 AOD samples can also be reprocessed in this release to get "miniAOD v3" output.
To make GEN, GEN-SIM, MINIAOD (or DIGI/RECO/AOD) samples, CMSSW_10_2_20 is used:
wget https://raw.githubusercontent.com/kpedro88/SVJProduction/master/setup.sh
chmod +x setup.sh
./setup.sh -c CMSSW_10_2_20
cd CMSSW_10_2_20/src
cmsenv
cd SVJ/Production
Condor submission is supported for the LPC batch system or for the global pool via CMS Connect. Job submission and management is based on the CondorProduction package. Refer to the package documentation for basic details.
The batch directory contains all of the relevant scripts. If you make a copy of this directory and run the submitJobs.py script, it will submit to Condor the specified number of jobs for the specified signal models. Example:
test/lnbatch.sh myProduction
cd myProduction
python submitJobs.py -p -o root://cmseos.fnal.gov//store/user/YOURUSERNAME/myProduction -d signals2 -E 500 -N 20 --outpre step1_GEN-SIM --config SVJ.Production.2016.step1_GEN-SIM -s
submitJobs.py can also:
- count the expected number of jobs to submit (for planning purposes),
- check for jobs which were completely removed from the queue and make a resubmission list,
- make an output file list for ntuple production.
The class jobSubmitterSVJ.py extends the class jobSubmitter from CondorProduction. It adds a few extra arguments:
Python:
-y, --getpy: make python file list for ntuple production (new operation mode)-d, --dicts [file]: file with list of input dicts; each dict contains signal parameters (required)-o, --output [dir]: path to output directory in which root files will be stored (required)-E, --maxEvents [num]: number of events to process per job (default = 1)-F, --firstPart [num]: first part to process in case extending a sample (default = 1)-N, --nParts [num]: number of parts to process-K, --skipParts [n1,n2,... or auto]: comma-separated list of parts to skip (or auto, which checks existence of input files)--indir [dir]: input file directory (LFN)--redir [dir]: input file redirector (default = root://cmseos.fnal.gov/)--inpre [str]: input file prefix--outpre [str]: output file prefix (required)--config [str]: CMSSW config to run (required unless madgraph)--year [num]: which year to simulate--gridpack: gridpack production--madgraph: sample generated w/ madgraph (rather than pythia)--actualEvents: count actual number of events from each input file (for python file list, requires-K auto)-A, --args [list]: additional common args to use for all jobs (passed to runSVJ.py)-v, --verbose: enable verbose output (default = False)
Shell (in step2.sh):
-o [dir]: output directory-j [jobname]: job name-p [part]: part number-x [redir]: xrootd redirector
These examples are for generating 50,000 events with selected signal models, after profiling with 100 events. They assume the basic CondorProduction setup has already been performed.
To run for 2017, replace 2016 with 2017 in the argument of --year and /2016/ with /2017/ in the arguments of --indir and -o.
(A similar procedure can be used for 2018.)
If MadGraph generation is used (Gridpack + LHE-GEN-SIM steps), an additional argument should be provided to the subsequent steps: --madgraph.
Commands:
Gridpack:
python submitJobs.py -p -d signals2 -E 1 -N 1 --outpre step0_GRIDPACK --year 2016 --gridpack -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/GRIDPACK/ -s
LHE-GEN-SIM:
python submitJobs.py -p -d signals2 -E 1000 -N 100 --indir /store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/GRIDPACK/ --inpre step0_GRIDPACK --outpre step1_LHE-GEN-SIM --year 2016 --config step1_LHE-GEN-SIM --madgraph -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/GEN-SIM/ -s
GEN-SIM:
python submitJobs.py -p -d signals2 -E 1000 -N 100 --outpre step1_GEN-SIM --year 2016 --config step1_GEN-SIM -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/GEN-SIM/ -s
DIGI:
python submitJobs.py -p -d signals2 -E 1000 -N 100 --indir /store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/GEN-SIM/ --inpre step1_GEN-SIM --outpre step2_DIGI --year 2016 --config step2_DIGI -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/DIGI/ --cpus 4 --memory 5000 -s
RECO:
python submitJobs.py -p -d signals2 -E 1000 -N 100 --indir /store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/DIGI/ --inpre step2_DIGI --outpre step3_RECO --year 2016 --config step3_RECO -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/RECO/ --cpus 4 --memory 3000 -s
DIGI-RECO: (alternative, only for 2017/2018)
python submitJobs.py -p -d signals2 -E 1000 -N 100 --indir /store/user/lpcsusyhad/SVJ2017/ProductionV3/2017/GEN-SIM/ --inpre step1_GEN-SIM --outpre step3_DIGI-RECO --year 2017 --config step3_DIGI-RECO -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/2017/RECO/ --cpus 4 --memory 3000 -s
MINIAOD:
python submitJobs.py -p -d signals2 -E 1000 -N 100 --indir /store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/RECO/ --inpre step3_RECO --outpre step4_MINIAOD --year 2016 --config step4_MINIAOD -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/MINIAOD/ --cpus 4 -s
MINIAOD v3 (for 2016, uses 2017 release):
python submitJobs.py -p -d signals2 -E 1000 -N 100 --indir /store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/RECO/ --inpre step3_RECO --outpre step4_MINIAOD_2016 --year 2017 --config step4_MINIAOD_2016 -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/2017/MINIAOD/ --cpus 4 -s
Ntuple production uses the TreeMaker repository. To prepare the file lists (and WeightProducer lines):
python submitJobs.py -y --actualEvents -K auto -d signals2 -E 1000 -N 100 --indir /store/user/lpcsusyhad/SVJ2017/ProductionV3/2016/MINIAOD --inpre step4_MINIAOD --outpre SVJ_2016
To submit the (mini-)ntuple jobs for signal and background, follow the TreeMaker Condor submission instructions and use the following commands:
python submitJobs.py -p -d svj -N 200 --cpus 4 -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/Ntuples/ --args "semivisible=True lostlepton=False hadtau=False doZinv=False doPDFs=False systematics=False redir=root://cmseos.fnal.gov/" -s
python submitJobs.py -p -d qcd_pt --cpus 4 -o root://cmseos.fnal.gov//store/user/lpcsusyhad/SVJ2017/ProductionV3/Ntuples/ --args "semivisible=True lostlepton=False hadtau=False doZinv=False doPDFs=False systematics=False" -s
N.B. these commands uses submitJobs.py from TreeMaker, not from this repository.
The runSVJ script is a wrapper that can customize and run any CMSSW config file. An alternative script runMG.py handles MadGraph gridpack generation. These scripts share the same options:
maxEvents=[num]: number of events to process (default = -1)signal=[bool]: whether this is a signal sample (default = True)scan=[string]: name of scan fragmentmadgraph=[bool]: generation with MadGraph (instead of default Pythia8)syst=[bool]: enable systematics for generation with MadGraph (default = False)channel=[string]: process to generate (default = s, alternative = t)boost=[bool]: use boosted s-channel process (default = False)mMediator=[val]: mediator mass value (default = 3000.0)mDark=[val]: dark hadron mass value (default = 20.0)rinv=[val]: invisible fraction value (default = 0.3)alpha=[val]: hidden sector force coupling value (default = peak)filterZ2=[bool]: only keep events withN(4900211)%4==0(default = True)part=[num]: part number when producing a sample in multiple jobs (default = 1)indir=[str]: directory for input file (local or logical)inpre=[str]: prefix for input file nameoutpre=[list]: list of prefixes for output file names (must be same length as list of output modules) (default = step1)output=[list]: list of output module names (default =sorted(process.outputModules_()))year=[str]: which year to simulate (default = 0, for year-independent configs)config=[str]: config file to customize and run (default = step1_GEN)threads=[num]: number of threads to run (default = 1)streams=[num]: number of streams to run (default = 0 -> streams = threads)redir=[dir]: xrootd redirector for input filetmi=[bool]: enable TimeMemoryInfo for simple profiling (default = False)dump=[bool]: equivalent toedmConfigDump, but accounts for all command-line settings; exits without running (default = False)- for
runMG.py, this option keeps the gridpack directory
- for
To run the sample production interactively with example parameters:
cd SVJ/Production/test
cmsRun runSVJ.py year=2016 config=step1_GEN outpre=step1 mZprime=3000.0 mDark=20.0 rinv=0.3 alpha=0.1 part=1 maxEvents=10
To generate background samples for GEN-level analysis:
cmsRun runSVJ.py year=2016 config=step1_GEN_QCDForPF_13TeV outpre=step1_QCD signal=0 part=1 maxEvents=10
The analysis code needs a newer version of CMSSW (to access newer versions of ROOT and fastjet).
Rerun the setup script as follows (the -a flag installs the analysis code dependency, my Analysis repo):
./setup.sh -c CMSSW_8_0_28 -a
To run the GEN-level analyzer:
cmsRun runSVJ.py config=genmassanalyzer_cfg output=TFileService outpre=genmassanalysis inpre=step1 mZprime=3000.0 mDark=20.0 rinv=0.3 alpha=0.1 part=1 maxEvents=10
cmsRun runSVJ.py config=genmassanalyzer_cfg output=TFileService outpre=genmassanalysis_QCD inpre=step1_QCD signal=0 part=1 maxEvents=10
For more ways to analyzer the output of the GEN-level analyzer, see the Analysis repo.
An alternative example of a semi-standalone macro is available in this repo:
root -l 'plotMasses.C+("genmassanalysis_mZprime-3000_mDark-20_rinv-0.3_alpha-0.1_n-10_part-1.root","input_masses.txt")'
To run the softdrop algorithm on GenJets/GenParticles from an existing sample, and analyze the result:
cmsRun runSVJ.py config=softDropGenJets outpre=softdropgen indir=/store/user/lpcsusyhad/SVJ2017/ProductionV3/GEN-SIM/ inpre=step1_GEN-SIM redir=root://cmseos.fnal.gov/ mZprime=3000 mDark=20 rinv=0.3 alpha=0.2 maxEvents=500 part=1
cmsRun runSVJ.py config=softdropanalyzer_cfg outpre=softdropana output=TFileService inpre=softdropgen mZprime=3000 mDark=20 rinv=0.3 alpha=0.2 maxEvents=500 part=1
Commands:
LHE-GEN only:
cmsDriver.py SVJ/Production/python/2016/HadronizerFragment_cff.py --fileout file:step1.root --mc --eventcontent RAWSIM --customise SLHCUpgradeSimulations/Configuration/postLS1Customs.customisePostLS1 --datatier GEN --conditions MCRUN2_71_V1::All --beamspot Realistic50ns13TeVCollision --step LHE,GEN --magField 38T_PostLS1 --python_filename step1_LHE-GEN.py --no_exec
LHE-GEN-SIM:
cmsDriver.py SVJ/Production/python/2016/HadronizerFragment_cff.py --fileout file:step1.root --mc --eventcontent RAWSIM --customise SLHCUpgradeSimulations/Configuration/postLS1Customs.customisePostLS1 --datatier GEN-SIM --conditions MCRUN2_71_V1::All --beamspot Realistic50ns13TeVCollision --step LHE,GEN,SIM --magField 38T_PostLS1 --python_filename step1_LHE-GEN-SIM.py --no_exec
GEN only:
cmsDriver.py SVJ/Production/2016/EmptyFragment_cff --python_filename step1_GEN.py --mc --eventcontent RAWSIM --customise SLHCUpgradeSimulations/Configuration/postLS1Customs.customisePostLS1 --datatier GEN --conditions MCRUN2_71_V3::All --beamspot Realistic50ns13TeVCollision --step GEN --magField 38T_PostLS1 --fileout file:step1.root --no_exec
cmsDriver.py QCDForPF_13TeV_TuneCUETP8M1_cfi --python_filename step1_GEN_QCDForPF_13TeV.py --mc --eventcontent RAWSIM --customise SLHCUpgradeSimulations/Configuration/postLS1Customs.customisePostLS1 --datatier GEN --conditions MCRUN2_71_V3::All --beamspot Realistic50ns13TeVCollision --step GEN --magField 38T_PostLS1 --fileout file:step1.root --no_exec
GEN-SIM:
cmsDriver.py SVJ/Production/2016/EmptyFragment_cff --python_filename step1_GEN-SIM.py --mc --eventcontent RAWSIM --customise SLHCUpgradeSimulations/Configuration/postLS1Customs.customisePostLS1 --datatier GEN-SIM --conditions MCRUN2_71_V3::All --beamspot Realistic50ns13TeVCollision --step GEN,SIM --magField 38T_PostLS1 --fileout file:step1.root --no_exec
DIGI:
cmsDriver.py step2 --python_filename step2_DIGI.py --mc --eventcontent PREMIXRAW --datatier GEN-SIM-RAW --conditions 80X_mcRun2_asymptotic_2016_TrancheIV_v6 --step DIGIPREMIX_S2,DATAMIX,L1,DIGI2RAW,HLT:@frozen2016 --nThreads 4 --datamix PreMix --era Run2_2016 --filein file:step1.root --fileout file:step2.root --pileup_input pileup.root --no_exec
RECO:
cmsDriver.py step3 --python_filename step3_RECO.py --mc --eventcontent AODSIM --runUnscheduled --datatier AODSIM --conditions 80X_mcRun2_asymptotic_2016_TrancheIV_v6 --step RAW2DIGI,RECO,EI --nThreads 4 --era Run2_2016 --filein file:step2.root --fileout file:step3.root --no_exec
MINIAOD:
cmsDriver.py step4 --python_filename step4_MINIAOD.py --mc --eventcontent MINIAODSIM --runUnscheduled --datatier MINIAODSIM --conditions 80X_mcRun2_asymptotic_2016_TrancheIV_v6 --step PAT --nThreads 4 --era Run2_2016 --filein file:step3.root --fileout file:step4.root --no_exec
These commands are based on the PdmVMcCampaigns twiki and McM, specifically: RunIISummer15GS, RunIISummer16DR80Premix, RunIISummer16MiniAODv2, RunIIWinter15wmLHE, RunIISummer15GS (LHE).
Commands:
LHE-GEN only:
cmsDriver.py SVJ/Production/python/2017/HadronizerFragment_cff.py --mc --eventcontent RAWSIM --datatier GEN --conditions 93X_mc2017_realistic_v3 --beamspot Realistic25ns13TeVEarly2017Collision --step LHE,GEN --nThreads 4 --geometry DB:Extended --era Run2_2017 --fileout file:step1.root --python_filename step1_LHE-GEN.py --no_exec
LHE-GEN-SIM:
cmsDriver.py SVJ/Production/python/2017/HadronizerFragment_cff.py --mc --eventcontent RAWSIM --datatier GEN-SIM --conditions 93X_mc2017_realistic_v3 --beamspot Realistic25ns13TeVEarly2017Collision --step LHE,GEN,SIM --nThreads 4 --geometry DB:Extended --era Run2_2017 --fileout file:step1.root --python_filename step1_LHE-GEN-SIM.py --no_exec
GEN only:
cmsDriver.py SVJ/Production/2017/EmptyFragment_cff --python_filename step1_GEN.py --mc --eventcontent RAWSIM --datatier GEN --conditions 93X_mc2017_realistic_v3 --beamspot Realistic25ns13TeVEarly2017Collision --step GEN --nThreads 4 --geometry DB:Extended --era Run2_2017 --fileout file:step0.root --no_exec
GEN-SIM:
cmsDriver.py SVJ/Production/2017/EmptyFragment_cff --python_filename step1_GEN-SIM.py --mc --eventcontent RAWSIM --datatier GEN-SIM --conditions 93X_mc2017_realistic_v3 --beamspot Realistic25ns13TeVEarly2017Collision --step GEN,SIM --nThreads 4 --geometry DB:Extended --era Run2_2017 --fileout file:step0.root --no_exec
DIGI:
cmsDriver.py step2 --python_filename step2_DIGI.py --mc --eventcontent PREMIXRAW --datatier GEN-SIM-RAW --conditions 94X_mc2017_realistic_v10 --step DIGIPREMIX_S2,DATAMIX,L1,DIGI2RAW,HLT:2e34v40 --nThreads 8 --datamix PreMix --era Run2_2017 --filein file:step1.root --fileout file:step2.root --pileup_input pileup.root --no_exec
RECO:
cmsDriver.py step3 --python_filename step3_RECO.py --mc --eventcontent AODSIM runUnscheduled --datatier AODSIM --conditions 94X_mc2017_realistic_v10 --step RAW2DIGI,RECO,EI --nThreads 8 --era Run2_2017 --filein file:step2.root --fileout file:step3.root --no_exec
MINIAOD:
cmsDriver.py step4 --python_filename step4_MINIAOD.py --mc --eventcontent MINIAODSIM --runUnscheduled --datatier MINIAODSIM --conditions 94X_mc2017_realistic_v14 --step PAT --nThreads 4 --era Run2_2017,run2_miniAOD_94XFall17 --filein file:step3.root --fileout file:step4.root --no_exec
MINIAOD v3 (for 2016):
cmsDriver.py step4 --python_filename step4_MINIAOD_2016.py --mc --eventcontent MINIAODSIM --runUnscheduled --datatier MINIAODSIM --conditions 94X_mcRun2_asymptotic_v3 --step PAT --nThreads 8 --era Run2_2016,run2_miniAOD_80XLegacy --filein file:step3.root --fileout file:step4.root --no_exec
These commands are based on the PdmVMcCampaigns twiki and McM, specifically: RunIIFall17wmLHEGS, RunIIFall17GS, RunIIFall17DRPremix, RunIIFall17MiniAODv2, RunIISummer16MiniAODv3.
Commands:
LHE-GEN only:
cmsDriver.py SVJ/Production/python/2017/HadronizerFragment_cff.py --mc --eventcontent RAWSIM --datatier GEN --conditions 102X_upgrade2018_realistic_v9 --beamspot Realistic25ns13TeVEarly2018Collision --step LHE,GEN --nThreads 8 --geometry DB:Extended --era Run2_2018 --fileout file:step1.root --python_filename step1_LHE-GEN.py --no_exec
LHE-GEN-SIM:
cmsDriver.py SVJ/Production/python/2017/HadronizerFragment_cff.py --mc --eventcontent RAWSIM --datatier GEN-SIM --conditions 102X_upgrade2018_realistic_v9 --beamspot Realistic25ns13TeVEarly2018Collision --step LHE,GEN,SIM --nThreads 8 --geometry DB:Extended --era Run2_2018 --fileout file:step1.root --python_filename step1_LHE-GEN-SIM.py --no_exec
GEN only:
cmsDriver.py SVJ/Production/2017/EmptyFragment_cff --python_filename step1_GEN.py --mc --eventcontent RAWSIM --conditions 102X_upgrade2018_realistic_v9 --beamspot Realistic25ns13TeVEarly2018Collision --step GEN --nThreads 4 --geometry DB:Extended --era Run2_2018 --fileout file:step0.root --no_exec
GEN-SIM:
cmsDriver.py SVJ/Production/2017/EmptyFragment_cff --python_filename step1_GEN-SIM.py --mc --eventcontent RAWSIM --conditions 102X_upgrade2018_realistic_v9 --beamspot Realistic25ns13TeVEarly2018Collision --step GEN,SIM --nThreads 4 --geometry DB:Extended --era Run2_2018 --fileout file:step0.root --no_exec
DIGI:
cmsDriver.py step2 --python_filename step2_DIGI.py --mc --eventcontent PREMIXRAW --datatier GEN-SIM-RAW --conditions 102X_upgrade2018_realistic_v15 --step DIGI,DATAMIX,L1,DIGI2RAW,HLT:@relval2018 --procModifiers premix_stage2 --nThreads 8 --geometry DB:Extended --datamix PreMix --era Run2_2018 --filein file:step1.root --fileout file:step2.root --pileup_input pileup.root --no_exec
RECO:
cmsDriver.py step3 --python_filename step3_RECO.py --mc --eventcontent AODSIM --runUnscheduled --datatier AODSIM --conditions 102X_upgrade2018_realistic_v15 --step RAW2DIGI,L1Reco,RECO,RECOSIM,EI --procModifiers premix_stage2 --nThreads 8 --era Run2_2018 --fileout file:step3.root --filein file:step2.root --no_exec
MINIAOD:
cmsDriver.py step4 --python_filename step4_MINIAOD.py --mc --eventcontent MINIAODSIM --runUnscheduled --datatier MINIAODSIM --conditions 102X_upgrade2018_realistic_v15 --step PAT --nThreads 8 --geometry DB:Extended --era Run2_2018 --filein file:step3.root --fileout file:step4.root --no_exec
These commands are based on the PdmVMcCampaigns twiki, specifically: RunIIFall18wmLHEGS, RunIIFall18GS, RunIIAutumn18DRPremix, RunIIAutumn18MiniAOD.
To download the premixed pileup input file list for 2016:
dasgoclient -query="file dataset=/Neutrino_E-10_gun/RunIISpring15PrePremix-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v2-v2/GEN-SIM-DIGI-RAW" | sort > Neutrino_E-10_gun_RunIISpring15PrePremix-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v2-v2_GEN-SIM-DIGI-RAW.txt
For quicker loading in Python, the text file is converted to a Python list and pickled using the script picklePileupInput.py:
python picklePileupInput.py Neutrino_E-10_gun_RunIISpring15PrePremix-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v2-v2_GEN-SIM-DIGI-RAW.txt
The pickled file can be retrieved from EOS:
xrdcp root://cmseos.fnal.gov//store/user/pedrok/SVJ2017/pileup/Neutrino_E-10_gun_RunIISpring15PrePremix-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v2-v2_GEN-SIM-DIGI-RAW.pkl
The config step2_DIGI.py will try to retrieve it automatically when it is run.
This procedure can be repeated for 2017 using the dataset:
/Neutrino_E-10_gun/RunIISummer17PrePremix-MCv2_correctPU_94X_mc2017_realistic_v9-v1/GEN-SIM-DIGI-RAW
or 2018 using the dataset:
/Neutrino_E-10_gun/RunIISummer17PrePremix-PUAutumn18_102X_upgrade2018_realistic_v15-v1/GEN-SIM-DIGI-RAW