SUSYRazor2018 < CMS

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%TOC%

---++ Latest reprocessing
<pre>

/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

</pre>

---++ How to run on UI3?
Analyzer.cc-ben #include "settings_Tamas.h" // Define all Analysis specific settings here

<pre>
cd /data/vami/projects/SUSY/2018/CMSSW_10_2_6/src/BoostAnalyzer17/
</pre>

<pre>
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 <br>
in "settings_*.h" one includes the "Analysis_*.h" and the settings

./Analyzer filelists/data/Run2018_filelist.txt output.root
</pre>

---++ How to run on CMS-Connect?

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

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).<br/>

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

<pre>
 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
</pre>

JobFlavour options
<pre>

+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
</pre>

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

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

---++ What MC samples are to be used?
There is a file list in ~/Dropbox/RazorBoost17/Changgi/2018_12_18/ <br/>
   * 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
<pre>
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
</pre>

Triggers
<pre>
HLT_AK8PFJet450
HLT_AK8PFJet400_TrimMass30
HLT_AK8PFHT800_TrimMass50
HLT_PFHT1050
HLT_PFHT500_PFMET100_PFMHT100_IDTight
</pre>

---++ ForEffCalcPurpose.root
--> 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
<pre>
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
</pre>

using content from 
<pre>
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
</pre>
and MC from the attachment xlsx file.

---++ DAS trick
<pre>
--query = "file dastaset=$DATASET$ | grep file.name, file.nevents" --limit=0 | grep ".root" | tail
</pre>

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


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

---++ Trigger eff
<pre>
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%
</pre>
On top of the HLT_PFHT500_PFMET100_PFMHT100_IDTight
<pre>
HLT_AK8PFJet450	0.42%
HLT_AK8PFJet400_TrimMass30	3.97%
HLT_AK8PFHT800_TrimMass50	1.69%
HLT_PFHT1050	1.36%
</pre>

Combination of HLT_PFHT500_PFMET100_PFMHT100_IDTight and
<pre>
HLT_AK8PFJet400_TrimMass30	99.54%
HLT_PFHT1050	99.93%
</pre>


---++ File content
<pre>
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
</pre>

---++ How to check triggers
<pre>
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

</pre>

---++ What is what?
<pre>
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' ,
</pre>

-- Main.TamasVami - 2019-01-12
This topic: CMS > WebHome > NewPhysics > SusySearch > SUSYRazor2018
Topic revision: r38 - 2020-02-18 - TamasVami
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