SUSYRazor2018 < CMS

CMS Web>NewPhysics>SusySearch>SUSYRazor2018 (2020-02-18, TamasVami)

Latest reprocessing


/JetHT/Run2018A-Nano1June2019-v2/NANOAOD
/JetHT/Run2018C-Nano1June2019-v1/NANOAOD
/JetHT/Run2018B-Nano1June2019-v2/NANOAOD
/JetHT/Run2018D-Nano1June2019_ver2-v1/NANOAOD
/JetHT/Run2018C-Nano1June2019-v2/NANOAOD

/MET/Run2018D-Nano1June2019_ver2-v1/NANOAOD
/MET/Run2018C-Nano1June2019-v1/NANOAOD
/MET/Run2018B-Nano1June2019-v1/NANOAOD
/MET/Run2018A-Nano1June2019-v1/NANOAOD

/SingleMuon/Run2018C-Nano1June2019-v1/NANOAOD
/SingleMuon/Run2018B-Nano1June2019-v1/NANOAOD
/SingleMuon/Run2018A-Nano1June2019-v1/NANOAOD
/SingleMuon/Run2018D-Nano1June2019-v1/NANOAOD

How to run on UI3?

Analyzer.cc-ben #include "settings_Tamas.h" // Define all Analysis specific settings here

cd /data/vami/projects/SUSY/2018/CMSSW_10_2_6/src/BoostAnalyzer17/

cmsrel CMSSW_10_2_6
cd CMSSW_10_2_6/src/
cmsenv
git clone git@github.com:ssekmen/BoostAnalyzer17.git
cd BoostAnalyzer17/
cp /data/vami/projects/SUSY/2018/CMSSW_10_2_6/src/BoostAnalyzer17/Analyzer.cc .
cp /data/vami/projects/SUSY/2018/CMSSW_10_2_6/src/BoostAnalyzer17/settings_Tamas.h .
cp /data/vami/projects/SUSY/2018/CMSSW_10_2_6/src/BoostAnalyzer17/Run2018_filelist.txt .

bash
source /cvmfs/cms.cern.ch/cmsset_default.sh 
source setup.sh 
make clean
make

include the "settings_*.h" in Analyzer.cc 

in "settings_*.h" one includes the "Analysis_*.h" and the settings

./Analyzer filelists/data/Run2018_filelist.txt output.root

How to run on CMS-Connect?

In here,
https://github.com/cghuh/RazorBoost-CMS-Connect/blob/b1545edeb747bca3e3c3d2dbb8a284b6f829a1bc/runAnalysis.sh#L48
If file contains JetHT or MET or SingleElectron or SingleMuon or SinglePhoton , it automatically copy to the file list to the correct folder.

or If you want to run with local, you have to put file list in the correct folder(I mean data in data folder, MC in background folder).

If you use that scripts, https://github.com/cghuh/RazorBoost-CMS-Connect/blob/b1545edeb747bca3e3c3d2dbb8a284b6f829a1bc/runAnalysis.sh#L64 You have to fix this line.

 ssh tvami@login.uscms.org
git clone https://github.com/cghuh/RazorBoost-CMS-Connect
cmssw-sandbox create CMSSW_10_2_6            OR        tar -cjf sandbox-CMSSW_10_2_6-skimming.tar.bz2 CMSSW_10_2_6/
tar -cjf sandbox-CMSSW_10_2_6-Analysis.tar.bz2  CMSSW_10_2_6/
condor_submit analysis.submit
condor_tail 1934851.0

untar: tar -xf sandbox-CMSSW_10_2_6-Analysis.tar.bz2 

/eos/user/t/tvami/SUSYRazorBoost

JobFlavour options


+JobFlavour = "Options"
queue

Options
espresso = 20 min
microcentury = 1 hour
longlunch = 2 hours
workday = 8 hours
tomorrow = 1 day
testmatch = 3 days
nextweek = 1 week

More info here: https://indico.cern.ch/event/783287/contributions/3259655/attachments/1780850/2897090/TrainingSlides.pdf

How to measure the efficiency?

https://github.com/ssekmen/BoostAnalyzer17/blob/c907e471f138df5cfc98cd53febca68ea1b78854/include/AnalysisBase.h#L4162

https://github.com/ssekmen/BoostAnalyzer17/blob/c907e471f138df5cfc98cd53febca68ea1b78854/include/AnalysisBase.h#L5074

How to plot?

What data samples are to be used?

The JSON file is https://cms-service-dqm.web.cern.ch/cms-service-dqm/CAF/certification/Collisions18/13TeV/PromptReco/Cert_314472-325175_13TeV_PromptReco_Collisions18_JSON.txt

14Sep2018 string

On reprocessing happended with: /*/Run2018*-14Sep2018*-v*/NANOAOD

NanoAOD : https://cmsweb.cern.ch/das/request?view=list&limit=150&instance=prod%2Fglobal&input=%2F*%2FRun2018*-14Sep2018*-v*%2FNANOAOD

GTs: 102X_dataRun2_Sep2018Rereco_v1 for ABC and 102X_dataRun2_Prompt_v11 for D

In SingleMuon we have A,C with ver3 and ABCD with ver2: https://cmsweb.cern.ch/das/request?view=list&limit=150&instance=prod%2Fglobal&input=%2FSingleMuon%2FRun2018*-14Sep2018*-v*%2FNANOAOD
In JetHT we have A,C with ver3 and ABC with ver2: https://cmsweb.cern.ch/das/request?view=list&limit=150&instance=prod%2Fglobal&input=%2FJetHT%2FRun2018*-14Sep2018*-v*%2FNANOAOD
In MET we have A,C with ver3 and ABC with ver2: https://cmsweb.cern.ch/das/request?view=list&limit=150&instance=prod%2Fglobal&input=%2FMET%2FRun2018*-14Sep2018*-v*%2FNANOAOD

17Sep2018 string

Another: https://cms-pdmv-dev.cern.ch/pmp2/historical?r=17Sep2018

, /*/Run2018*-17Sep2018*-v*/MINIAOD, /*/Run2018D*/MINIAOD

Nano14Dec2018 string

There is also a v4 data... https://cmsweb.cern.ch/das/request?view=list&limit=50&instance=prod%2Fglobal&input=%2F*%2FRun2018*Nano14Dec2018*%2FNANOAOD

From 2019-01-14 the v4 is available for ABC, for SingleMuon :

https://cmsweb.cern.ch/das/request?view=list&limit=50&instance=prod%2Fglobal&input=%2FSingleMuon%2FRun2018*Nano14Dec2018*%2FNANOAOD

in JetHT for A and C:

https://cmsweb.cern.ch/das/request?view=list&limit=50&instance=prod%2Fglobal&input=%2FJetHT%2FRun2018*Nano14Dec2018*%2FNANOAOD

in MET for for C:

https://cmsweb.cern.ch/das/request?view=list&limit=50&instance=prod%2Fglobal&input=%2FMET%2FRun2018*Nano14Dec2018*%2FNANOAOD

There are 100+24+19+38=181 MET files and 135+93+72+204=504 JetHT files! So altogether 685 data files.

What MC samples are to be used?

There is a file list in ~/Dropbox/RazorBoost17/Changgi/2018_12_18/

2017 MC samples are in /*/RunIIFall17NanoAOD*new_pmx*/NANOAODSIM
2018: /*/RunIIAutumn18MiniAOD-102X_upgrade2018_realistic*/MINIAODSIM or /*/RunIIAutumn18NanoAOD*102X_upgrade2018_realistic*/*
There is no v4 MC for 2018 yet.

SUS monitoring: http://test-mc.web.cern.ch/test-mc/SUS/Autumn18.html

Number of events from DAS

file dataset=/ttPhiS_M-80_2mu_13TeV-madgraph/RunIIAutumn18NanoAOD-102X_upgrade2018_realistic_v15-v1/NANOAODSIM | grep file.name, file.nevents

Triggers

https://twiki.cern.ch/twiki/bin/view/CMS/TauTrigger#Trigger_table_for_2018

SkimmedMET_AC_v3
All events --> 5877929
HLT_AK8PFJet450 --> 63257
HLT_AK8PFJet400_TrimMass30 --> 466296
HLT_AK8PFHT800_TrimMass50 --> 188146
HLT_PFHT1050 --> 205522
HLT_PFHT500_PFMET100_PFMHT100_IDTight --> 1177857

# --------------------------------------------------------
SkimmedJetHT_AC_v3
All events --> 15098174
HLT_AK8PFJet450 --> 265001
HLT_AK8PFJet400_TrimMass30 --> 2523484
HLT_AK8PFHT800_TrimMass50 --> 1117355
HLT_PFHT1050 --> 962172
HLT_PFHT500_PFMET100_PFMHT100_IDTight --> 1648662

# --------------------------------------------------------
SkimmedSingleMuon_AC
All events --> 5313180
HLT_AK8PFJet450 --> 18825
HLT_AK8PFJet400_TrimMass30 --> 182441
HLT_AK8PFHT800_TrimMass50 --> 79450
HLT_PFHT1050 --> 73333
HLT_PFHT500_PFMET100_PFMHT100_IDTight --> 268120

Triggers

HLT_AK8PFJet450
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFHT800_TrimMass50
HLT_PFHT1050
HLT_PFHT500_PFMET100_PFMHT100_IDTight

--> no own MET or SingleMuon , SingleElectron sample in the /trigger_eff/181121/ dir, but anyways it is comming from the 2018A,C skimmed sample on ui3 machine (/data/vami/projects/SUSY/2018/Files/SkimmedSingleMuon_2018AC_v2_SFFalse_XSecFalse.root)

Skimming data + MC together

Skimming with condition (data.FatJet[i].jetId = 2 || data.FatJet[i].jetId = 6) && data.FatJet[i].pt >= 100 && std::abs(data.FatJet[i].eta) < 3.0 )

and

eventBuffer - All branches selected
saveSkimmedNtuple (settings): true
events will be skimmed to file run.root
varySystematics (settings): false
useJSON (settings): false

doTopPtReweighting (settings): false
doISRReweighting (settings): false
doPileupReweighting (settings): false
doAK8JetPtRescaling (settings): false
applySmearing (settings): true
applyScaleFactors (settings): false

using content from

file dataset=/SingleMuon/Run2018A-14Sep2018_ver2-v1/NANOAOD
file dataset=/SingleMuon/Run2018B-14Sep2018_ver2-v1/NANOAOD
file dataset=/SingleMuon/Run2018C-14Sep2018_ver2-v1/NANOAOD
file dataset=/SingleMuon/Run2018D-14Sep2018_ver2-v1/NANOAOD

file dataset=/JetHT/Run2018A-14Sep2018_ver2-v1/NANOAOD
file dataset=/JetHT/Run2018B-14Sep2018_ver2-v1/NANOAOD
file dataset=/JetHT/Run2018C-14Sep2018_ver2-v1/NANOAOD

file dataset=/MET/Run2018A-14Sep2018_ver2-v1/NANOAOD
file dataset=/MET/Run2018B-14Sep2018_ver2-v1/NANOAOD
file dataset=/MET/Run2018C-14Sep2018_ver2-v1/NANOAOD

and MC from the attachment xlsx file.

DAS trick

--query = "file dastaset=$DATASET$ | grep file.name, file.nevents" --limit=0 | grep ".root" | tail

Plotting + Merging

https://github.com/tvami/RazorSUSY/blob/master/Plotting.C

Merging:
  TChain ch("Events");
  ch.Add("*.root");
  ch.Merge("ChainMergedSkimmedSingleMuon2018ABCD.root");
  if you want to plot something: ch.Draw("x");

Trigger eff

HLT_AK8PFJet450	5.62%
HLT_AK8PFJet400_TrimMass30	47.74%
HLT_AK8PFHT800_TrimMass50	17.80%
HLT_PFHT1050	14.20%
HLT_PFHT500_PFMET100_PFMHT100_IDTight	95.57%

On top of the HLT_PFHT500_PFMET100_PFMHT100_IDTight

HLT_AK8PFJet450	0.42%
HLT_AK8PFJet400_TrimMass30	3.97%
HLT_AK8PFHT800_TrimMass50	1.69%
HLT_PFHT1050	1.36%

Combination of HLT_PFHT500_PFMET100_PFMHT100_IDTight and

HLT_AK8PFJet400_TrimMass30	99.54%
HLT_PFHT1050	99.93%

File content

TriggerEffsOn20190210.root --> run on the skimmed whole 2018 SingleMuon dataset. Contains better boundaries, MR-R2 efficiency plots on the top of others
TriggerEffsOn20190211.root --> run on the skimmed whole 2018 SingleMuon dataset. Contains combined trigger effs as well

How to check triggers

hltConfigFromDB --runNumber RUNNUMBER | hltDumpStream

Dumping the trigger menu:
hltGetConfiguration your menu --full --offline --data --unprescale --no-output --paths HLTriggerFirstPath,your path,HLTriggerFinalPath > hlt.py

hltGetConfiguration run:315840 --full --offline --data --unprescale --no-output --paths HLTriggerFirstPath,HLT_AK8PFJet450_v14,HLT_AK8PFJet400_TrimMass30_v10,HLT_AK8PFHT800_TrimMass50_v10,HLT_PFHT1050_v16,HLT_PFHT500_PFMET100_PFMHT100_IDTight_v10,HLT_IsoMu27_v14,HLTriggerFinalPath > hlt.py

What is what?

process.HLT_AK8PFJet400_TrimMass30_v10 = cms.Path( 
 process.HLTBeginSequence 
 process.hltL1sSingleJet180 
 process.hltPreAK8PFJet400TrimMass30 --> HLTPrescaler
 process.HLTAK8CaloJetsSequence 
 process.hltAK8SingleCaloJet300 --> min 1, 300 GeV in pt, from hltAK8CaloJetsCorrectedIDPassed
 process.HLTAK8PFJetsSequence 
 process.hltAK8PFJetsCorrectedMatchedToCaloJets300 --> Filter
 process.hltAK8SinglePFJet400 --> min 1, 400 GeV in pt, from hltAK8PFJetsCorrected
 process.hltAK8TrimModJets --> no useMassDropTagger, jetType=PFJet, MinVtxNdof=5, jetAlgorithm ="AntiKt", MaxVtxZ = 15.0, rParam = 0.8,useSoftDrop = False,jetPtMin = 20.0, puPtMin = 10.0, trimPtFracMin = 0.03, radiusPU = 0.8, 
 process.hltAK8SinglePFJetTrimModMass30 --> min 1, 0 GeV in pt, 30 GeV in mass, input is hltAK8TrimModJets
 process.HLTEndSequence 
)

process.HLT_AK8PFHT800_TrimMass50_v10 = cms.Path(
 process.hltL1sAllHTTSeeds --> all HTT Seeds
 process.hltPreAK8PFHT800TrimMass50 --> HLTPrescaler
 process.hltAK8HtMht --> minPtJetHt = 150.0, minPtJetMht = 30.0, 
 process.hltAK8Ht700 --> minHt = 700.0
 process.hltAK8PFHTwJetPt200 --> minPtJetHt = 200.0, minPtJetMht = 0.0, 
 process.hltAK8TrimModJets --> as above
 process.hlt1AK8PFJetsTrimMass50Pt200 --> MinN = 1, MinMass = 50.0, MinPt = 200.0
 process.hltAK8PFHT800 --> minHt = 800.0, minMht = 0.0, mhtLabels = 'hltAK8PFHTwJetPt200', htLabels = 'hltAK8PFHTwJetPt200', 
)

process.HLT_AK8PFJet450_v14 = cms.Path(
 process.hltL1sSingleJet170IorSingleJet180IorSingleJet200 --> L1_SingleJet170 OR L1_SingleJet180 OR L1_SingleJet200
 process.hltPreAK8PFJet450 --> HLTPrescaler
 process.hltSingleCaloJet400AK8 --> MinN = 1, MinPt = 400.0
 process.hltPFJetsCorrectedMatchedToCaloJets400AK8 --> DeltaR = 0.5, 
 process.hltSinglePFJet450AK8 --> min 1, MinPt = 450.0
)

process.HLT_PFHT1050_v16 = cms.Path(
 process.hltL1sAllHTTSeeds --> all HTT Seeds
 process.hltPrePFHT1050 --> HLTPrescaler
 process.HLTAK4CaloJetsSequence 
 process.hltHtMhtJet30 --> minPtJetHt = 30.0, minPtJetMht = 30.0, minNJetHt = 0, minNJetMht = 0, 
 process.hltHT900Jet30 --> minHt = 900.0, minMht = 0.0
 process.HLTAK4PFJetsSequence 
 process.hltPFHTJet30 --> minPtJetHt = 30.0, minNJetMht = 0, minPtJetMht = 0.0, minNJetHt = 0, 
 process.hltPFHT1050Jet30 --> minMeff = 0.0, minMht = 0.0, htLabels = 'hltPFHTJet30', minHt = 1050.0
)

process.HLT_PFHT500_PFMET100_PFMHT100_IDTight_v10 = cms.Path(
 process.hltL1sAllHTTSeeds --> all HTT Seeds
 process.hltPrePFHT500PFMET100PFMHT100IDTight --> HLTPrescaler
 process.HLTRecoMETSequence --> there is a global threshold of 0.3
 process.hltMET70 --> MinN = 1, MinPt = 70.0
 process.HLTHBHENoiseCleanerSequence 
 process.hltMetClean 
 process.hltMETClean60 --> MinN = 1, MinPt = 60.0
 process.HLTAK4CaloJetsSequence 
 process.hltMht --> minPtJetHt = 20.0, minPtJetMht = 20.0, minNJetHt = 0, 
 process.hltMHT70 --> minMht = 70.0
 process.hltHtMhtJet30 --> minPtJetHt = 30.0, minNJetMht = 0, minPtJetMht = 30.0, minNJetHt = 0, 
 process.hltHT400Jet30 --> minMht = 0.0, minHt = 400.0
 process.HLTAK4PFJetsSequence 
 process.hltPFMHTTightID --> minPtJetHt = 20.0, maxEtaJetMht = 5.2, minNJetMht = 0, minPtJetMht = 20.0, minNJetHt = 0, 
 process.hltPFMHTTightID100 --> minMht = 100.0
 process.hltPFMETProducer --> PF
 process.hltPFMET100 --> min 1 with MinPt = 100.0
 process.hltPFHTJet30 --> minHt = 500.0, minMht = 0
 process.hltPFHT500Jet30 --> minHt = 500.0, minMht = 0
)

HLT_IsoMu27_v14 = cms.Path( process.HLTBeginSequence 
 process.hltL1sSingleMu22or25 --> L1_SingleMu22 OR L1_SingleMu25
 process.hltPreIsoMu27 --> HLTPrescaler
 process.hltL1fL1sMu22or25L1Filtered0 --> MinPt = cms.double( 0.0 , MinN 1 , MaxEta = cms.double( 2.5 , CentralBxOnly = cms.bool( True ,
 process.HLTL2muonrecoSequence --> process.HLTL2muonrecoNocandSequence + process.hltL2MuonCandidates )
 cms.ignore(process.hltL2fL1sMu22or25L1f0L2Filtered10Q) 
 process.HLTL3muonrecoSequence --> process.HLTL3muonrecoNocandSequence + process.hltIterL3MuonCandidates
 cms.ignore(process.hltL1fForIterL3L1fL1sMu22or25L1Filtered0) 
 process.hltL3fL1sMu22Or25L1f0L2f10QL3Filtered27Q --> MaxDr = cms.double( 2.0 ,BeamSpotTag = cms.InputTag( "hltOnlineBeamSpot" , MinNmuonHits 0 ,
    MinN 1 , MinTrackPt = cms.double( 0.0 ,MinPt = cms.double( 27.0 , MinNhits 0 , minMuonStations 2 , NSigmaPt = cms.double( 0.0 , L1MatchingdR = cms.double( 0.3 )
 process.HLTMu27IsolationSequence --> process.HLTL3muonEcalPFisorecoSequenceNoBoolsForMuons +           
        process.hltL3fL1sMu22Or25L1f0L2f10QL3Filtered27QL3pfecalIsoRhoFilteredEB0p14EE0p10 + process.HLTL3muonHcalPFisorecoSequenceNoBoolsForMuons + 
        process.hltL3fL1sMu22Or25L1f0L2f10QL3Filtered27QL3pfhcalIsoRhoFilteredHB0p16HE0p20 + process.HLTTrackReconstructionForIsoL3MuonIter02 + 
        process.hltMuonTkRelIsolationCut0p07Map
 process.hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07 -> MinN 1 ,
 process.HLTEndSequence 
)


JetHT = cms.vstring( 'HLT_AK8PFHT750_TrimMass50_v10',
    'HLT_AK8PFHT800_TrimMass50_v10',
    'HLT_AK8PFHT850_TrimMass50_v9',
    'HLT_AK8PFHT900_TrimMass50_v9',
    'HLT_AK8PFJet140_v13',
    'HLT_AK8PFJet15_v1',
    'HLT_AK8PFJet200_v13',
    'HLT_AK8PFJet25_v1',
    'HLT_AK8PFJet260_v14',
    'HLT_AK8PFJet320_v14',
    'HLT_AK8PFJet330_TrimMass30_PFAK8BTagCSV_p17_v1',
    'HLT_AK8PFJet330_TrimMass30_PFAK8BTagCSV_p1_v1',
    'HLT_AK8PFJet330_TrimMass30_PFAK8BoostedDoubleB_p02_v1',
    'HLT_AK8PFJet360_TrimMass30_v16',
    'HLT_AK8PFJet380_TrimMass30_v9',
    'HLT_AK8PFJet400_TrimMass30_v10',
    'HLT_AK8PFJet400_v14',
    'HLT_AK8PFJet40_v14',
    'HLT_AK8PFJet420_TrimMass30_v9',
    'HLT_AK8PFJet450_v14',
    'HLT_AK8PFJet500_v14',
    'HLT_AK8PFJet550_v9',
    'HLT_AK8PFJet60_v13',
    'HLT_AK8PFJet80_v13',
    'HLT_AK8PFJetFwd140_v12',
    'HLT_AK8PFJetFwd15_v1',
    'HLT_AK8PFJetFwd200_v12',
    'HLT_AK8PFJetFwd25_v1',
    'HLT_AK8PFJetFwd260_v13',
    'HLT_AK8PFJetFwd320_v13',
    'HLT_AK8PFJetFwd400_v13',
    'HLT_AK8PFJetFwd40_v13',
    'HLT_AK8PFJetFwd450_v13',
    'HLT_AK8PFJetFwd500_v13',
    'HLT_AK8PFJetFwd60_v12',
    'HLT_AK8PFJetFwd80_v12',
    'HLT_CaloJet500_NoJetID_v11',
    'HLT_CaloJet550_NoJetID_v6',
    'HLT_DiPFJetAve100_HFJEC_v13',
    'HLT_DiPFJetAve140_v11',
    'HLT_DiPFJetAve160_HFJEC_v13',
    'HLT_DiPFJetAve200_v11',
    'HLT_DiPFJetAve220_HFJEC_v14',
    'HLT_DiPFJetAve260_v12',
    'HLT_DiPFJetAve300_HFJEC_v14',
    'HLT_DiPFJetAve320_v12',
    'HLT_DiPFJetAve400_v12',
    'HLT_DiPFJetAve40_v12',
    'HLT_DiPFJetAve500_v12',
    'HLT_DiPFJetAve60_HFJEC_v13',
    'HLT_DiPFJetAve60_v12',
    'HLT_DiPFJetAve80_HFJEC_v13',
    'HLT_DiPFJetAve80_v11',
    'HLT_DoublePFJets100_CaloBTagCSV_p79_v1',
    'HLT_DoublePFJets116MaxDeta1p6_DoubleCaloBTagCSV_p79_v1',
    'HLT_DoublePFJets128MaxDeta1p6_DoubleCaloBTagCSV_p79_v1',
    'HLT_DoublePFJets200_CaloBTagCSV_p79_v1',
    'HLT_DoublePFJets350_CaloBTagCSV_p79_v1',
    'HLT_DoublePFJets40_CaloBTagCSV_p79_v1',
    'HLT_Mu12_DoublePFJets100_CaloBTagCSV_p79_v1',
    'HLT_Mu12_DoublePFJets200_CaloBTagCSV_p79_v1',
    'HLT_Mu12_DoublePFJets350_CaloBTagCSV_p79_v1',
    'HLT_Mu12_DoublePFJets40MaxDeta1p6_DoubleCaloBTagCSV_p79_v1',
    'HLT_Mu12_DoublePFJets40_CaloBTagCSV_p79_v1',
    'HLT_Mu12_DoublePFJets54MaxDeta1p6_DoubleCaloBTagCSV_p79_v1',
    'HLT_Mu12_DoublePFJets62MaxDeta1p6_DoubleCaloBTagCSV_p79_v1',
    'HLT_PFHT1050_v16',
    'HLT_PFHT180_v15',
    'HLT_PFHT250_v15',
    'HLT_PFHT330PT30_QuadPFJet_75_60_45_40_TriplePFBTagDeepCSV_4p5_v1',
    'HLT_PFHT330PT30_QuadPFJet_75_60_45_40_v7',
    'HLT_PFHT350MinPFJet15_v7',
    'HLT_PFHT350_v17',
    'HLT_PFHT370_v15',
    'HLT_PFHT380_SixPFJet32_DoublePFBTagCSV_2p2_v7',
    'HLT_PFHT380_SixPFJet32_DoublePFBTagDeepCSV_2p2_v6',
    'HLT_PFHT380_SixPFJet32_v7',
    'HLT_PFHT430_SixPFJet40_PFBTagCSV_1p5_v7',
    'HLT_PFHT430_SixPFJet40_v9',
    'HLT_PFHT430_v15',
    'HLT_PFHT500_PFMET100_PFMHT100_IDTight_v10',
    'HLT_PFHT500_PFMET110_PFMHT110_IDTight_v10',
    'HLT_PFHT510_v15',
    'HLT_PFHT590_v15',
    'HLT_PFHT680_v15',
    'HLT_PFHT700_PFMET85_PFMHT85_IDTight_v10',
    'HLT_PFHT700_PFMET95_PFMHT95_IDTight_v10',
    'HLT_PFHT780_v15',
    'HLT_PFHT800_PFMET75_PFMHT75_IDTight_v10',
    'HLT_PFHT800_PFMET85_PFMHT85_IDTight_v10',
    'HLT_PFHT890_v15',
    'HLT_PFJet140_v17',
    'HLT_PFJet15_v1',
    'HLT_PFJet200_v17',
    'HLT_PFJet25_v1',
    'HLT_PFJet260_v18',
    'HLT_PFJet320_v18',
    'HLT_PFJet400_v18',
    'HLT_PFJet40_v19',
    'HLT_PFJet450_v19',
    'HLT_PFJet500_v19',
    'HLT_PFJet550_v9',
    'HLT_PFJet60_v19',
    'HLT_PFJet80_v18',
    'HLT_PFJetFwd140_v16',
    'HLT_PFJetFwd15_v1',
    'HLT_PFJetFwd200_v16',
    'HLT_PFJetFwd25_v1',
    'HLT_PFJetFwd260_v17',
    'HLT_PFJetFwd320_v17',
    'HLT_PFJetFwd400_v17',
    'HLT_PFJetFwd40_v17',
    'HLT_PFJetFwd450_v17',
    'HLT_PFJetFwd500_v17',
    'HLT_PFJetFwd60_v17',
    'HLT_PFJetFwd80_v16',
    'HLT_QuadPFJet103_88_75_15_BTagCSV_p013_VBF2_v7',
    'HLT_QuadPFJet103_88_75_15_DoubleBTagCSV_p013_p08_VBF1_v7',
    'HLT_QuadPFJet103_88_75_15_v3',
    'HLT_QuadPFJet105_88_76_15_BTagCSV_p013_VBF2_v7',
    'HLT_QuadPFJet105_88_76_15_v3',
    'HLT_QuadPFJet105_90_76_15_DoubleBTagCSV_p013_p08_VBF1_v7',
    'HLT_QuadPFJet111_90_80_15_BTagCSV_p013_VBF2_v7',
    'HLT_QuadPFJet111_90_80_15_DoubleBTagCSV_p013_p08_VBF1_v7',
    'HLT_QuadPFJet111_90_80_15_v3',
    'HLT_QuadPFJet98_83_71_15_BTagCSV_p013_VBF2_v7',
    'HLT_QuadPFJet98_83_71_15_DoubleBTagCSV_p013_p08_VBF1_v7',
    'HLT_QuadPFJet98_83_71_15_v3',
    'HLT_Rsq0p35_v13',
    'HLT_Rsq0p40_v13',
    'HLT_RsqMR300_Rsq0p09_MR200_4jet_v13',
    'HLT_RsqMR300_Rsq0p09_MR200_v13',
    'HLT_RsqMR320_Rsq0p09_MR200_4jet_v13',
    'HLT_RsqMR320_Rsq0p09_MR200_v13',
    'HLT_SingleJet30_Mu12_SinglePFJet40_v9' ,



MET = cms.vstring( 'HLT_CaloMET100_HBHECleaned_v3',
    'HLT_CaloMET100_NotCleaned_v3',
    'HLT_CaloMET110_NotCleaned_v3',
    'HLT_CaloMET250_HBHECleaned_v3',
    'HLT_CaloMET250_NotCleaned_v3',
    'HLT_CaloMET300_HBHECleaned_v3',
    'HLT_CaloMET350_HBHECleaned_v3',
    'HLT_CaloMET70_HBHECleaned_v3',
    'HLT_CaloMET80_HBHECleaned_v3',
    'HLT_CaloMET80_NotCleaned_v3',
    'HLT_CaloMET90_HBHECleaned_v3',
    'HLT_CaloMET90_NotCleaned_v3',
    'HLT_CaloMHT90_v3',
    'HLT_DiJet110_35_Mjj650_PFMET110_v7',
    'HLT_DiJet110_35_Mjj650_PFMET120_v7',
    'HLT_DiJet110_35_Mjj650_PFMET130_v7',
    'HLT_L1ETMHadSeeds_v1',
    'HLT_MET105_IsoTrk50_v8',
    'HLT_MET120_IsoTrk50_v8',
    'HLT_MonoCentralPFJet80_PFMETNoMu110_PFMHTNoMu110_IDTight_v18',
    'HLT_MonoCentralPFJet80_PFMETNoMu120_PFMHTNoMu120_IDTight_v18',
    'HLT_MonoCentralPFJet80_PFMETNoMu130_PFMHTNoMu130_IDTight_v17',
    'HLT_MonoCentralPFJet80_PFMETNoMu140_PFMHTNoMu140_IDTight_v17',
    'HLT_PFMET100_PFMHT100_IDTight_CaloBTagCSV_3p1_v7',
    'HLT_PFMET100_PFMHT100_IDTight_PFHT60_v7',
    'HLT_PFMET110_PFMHT110_IDTight_CaloBTagCSV_3p1_v7',
    'HLT_PFMET110_PFMHT110_IDTight_v18',
    'HLT_PFMET120_PFMHT120_IDTight_CaloBTagCSV_3p1_v7',
    'HLT_PFMET120_PFMHT120_IDTight_PFHT60_v7',
    'HLT_PFMET120_PFMHT120_IDTight_v18',
    'HLT_PFMET130_PFMHT130_IDTight_CaloBTagCSV_3p1_v7',
    'HLT_PFMET130_PFMHT130_IDTight_v18',
    'HLT_PFMET140_PFMHT140_IDTight_CaloBTagCSV_3p1_v7',
    'HLT_PFMET140_PFMHT140_IDTight_v18',
    'HLT_PFMET200_HBHECleaned_v7',
    'HLT_PFMET200_HBHE_BeamHaloCleaned_v7',
    'HLT_PFMET200_NotCleaned_v7',
    'HLT_PFMET250_HBHECleaned_v7',
    'HLT_PFMET300_HBHECleaned_v7',
    'HLT_PFMETNoMu100_PFMHTNoMu100_IDTight_PFHT60_v7',
    'HLT_PFMETNoMu110_PFMHTNoMu110_IDTight_v18',
    'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_PFHT60_v7',
    'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_v18',
    'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_v17',
    'HLT_PFMETNoMu140_PFMHTNoMu140_IDTight_v17',
    'HLT_PFMETTypeOne100_PFMHT100_IDTight_PFHT60_v7',
    'HLT_PFMETTypeOne110_PFMHT110_IDTight_v10',
    'HLT_PFMETTypeOne120_PFMHT120_IDTight_PFHT60_v7',
    'HLT_PFMETTypeOne120_PFMHT120_IDTight_v10',
    'HLT_PFMETTypeOne130_PFMHT130_IDTight_v10',
    'HLT_PFMETTypeOne140_PFMHT140_IDTight_v9',
    'HLT_PFMETTypeOne200_HBHE_BeamHaloCleaned_v7',
    'HLT_TripleJet110_35_35_Mjj650_PFMET110_v7',
    'HLT_TripleJet110_35_35_Mjj650_PFMET120_v7',
    'HLT_TripleJet110_35_35_Mjj650_PFMET130_v7' ,

SingleMuon = cms.vstring( 'HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_CrossL1_v10',
    'HLT_IsoMu20_eta2p1_LooseChargedIsoPFTau27_eta2p1_TightID_CrossL1_v10',
    'HLT_IsoMu20_eta2p1_MediumChargedIsoPFTau27_eta2p1_CrossL1_v10',
    'HLT_IsoMu20_eta2p1_MediumChargedIsoPFTau27_eta2p1_TightID_CrossL1_v10',
    'HLT_IsoMu20_eta2p1_TightChargedIsoPFTau27_eta2p1_CrossL1_v10',
    'HLT_IsoMu20_eta2p1_TightChargedIsoPFTau27_eta2p1_TightID_CrossL1_v10',
    'HLT_IsoMu20_v13',
    'HLT_IsoMu24_eta2p1_v13',
    'HLT_IsoMu24_v11',
    'HLT_IsoMu27_v14',
    'HLT_IsoMu30_v2',
    'HLT_L1SingleMu18_v3',
    'HLT_L1SingleMu25_v2',
    'HLT_L2Mu10_v7',
    'HLT_L2Mu50_v2',
    'HLT_Mu10_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT350_PFMETNoMu60_v12',
    'HLT_Mu12_v1',
    'HLT_Mu15_IsoVVVL_PFHT450_CaloBTagCSV_4p5_v7',
    'HLT_Mu15_IsoVVVL_PFHT450_PFMET50_v13',
    'HLT_Mu15_IsoVVVL_PFHT450_v13',
    'HLT_Mu15_IsoVVVL_PFHT600_v17',
    'HLT_Mu15_v1',
    'HLT_Mu20_v11',
    'HLT_Mu27_v12',
    'HLT_Mu3_PFJet40_v14',
    'HLT_Mu50_IsoVVVL_PFHT450_v13',
    'HLT_Mu50_v12',
    'HLT_Mu55_v2',
    'HLT_Mu8_TrkIsoVVL_DiPFJet40_DEta3p5_MJJ750_HTT300_PFMETNoMu60_v13',
    'HLT_OldMu100_v3',
    'HLT_TkMu100_v2' ,

-- TamasVami - 2019-01-12

Topic revision: r38 - 2020-02-18 - TamasVami

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