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jets_cff.py
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jets_cff.py
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import FWCore.ParameterSet.Config as cms
from Configuration.Eras.Modifier_run2_miniAOD_80XLegacy_cff import run2_miniAOD_80XLegacy
from Configuration.Eras.Modifier_run2_nanoAOD_92X_cff import run2_nanoAOD_92X
from PhysicsTools.NanoAOD.common_cff import *
##################### User floats producers, selectors ##########################
from RecoJets.JetProducers.ak4PFJets_cfi import ak4PFJets
chsForSATkJets = cms.EDFilter("CandPtrSelector", src = cms.InputTag("packedPFCandidates"), cut = cms.string('charge()!=0 && pvAssociationQuality()>=5 && vertexRef().key()==0'))
softActivityJets = ak4PFJets.clone(src = 'chsForSATkJets', doAreaFastjet = False, jetPtMin=1)
softActivityJets10 = cms.EDFilter("CandPtrSelector", src = cms.InputTag("softActivityJets"), cut = cms.string('pt>10'))
softActivityJets5 = cms.EDFilter("CandPtrSelector", src = cms.InputTag("softActivityJets"), cut = cms.string('pt>5'))
softActivityJets2 = cms.EDFilter("CandPtrSelector", src = cms.InputTag("softActivityJets"), cut = cms.string('pt>2'))
looseJetId = cms.EDProducer("PatJetIDValueMapProducer",
filterParams=cms.PSet(
version = cms.string('WINTER16'),
quality = cms.string('LOOSE'),
),
src = cms.InputTag("slimmedJets")
)
tightJetId = cms.EDProducer("PatJetIDValueMapProducer",
filterParams=cms.PSet(
version = cms.string('WINTER17'),
quality = cms.string('TIGHT'),
),
src = cms.InputTag("slimmedJets")
)
run2_miniAOD_80XLegacy.toModify( tightJetId.filterParams, version = "WINTER16" )
tightJetIdLepVeto = cms.EDProducer("PatJetIDValueMapProducer",
filterParams=cms.PSet(
version = cms.string('WINTER17'),
quality = cms.string('TIGHTLEPVETO'),
),
src = cms.InputTag("slimmedJets")
)
looseJetIdAK8 = cms.EDProducer("PatJetIDValueMapProducer",
filterParams=cms.PSet(
version = cms.string('WINTER16'),
quality = cms.string('LOOSE'),
),
src = cms.InputTag("slimmedJetsAK8")
)
tightJetIdAK8 = cms.EDProducer("PatJetIDValueMapProducer",
filterParams=cms.PSet(
version = cms.string('WINTER17'),
quality = cms.string('TIGHT'),
),
src = cms.InputTag("slimmedJetsAK8")
)
run2_miniAOD_80XLegacy.toModify( tightJetIdAK8.filterParams, version = "WINTER16" )
tightJetIdLepVetoAK8 = cms.EDProducer("PatJetIDValueMapProducer",
filterParams=cms.PSet(
version = cms.string('WINTER17'),
quality = cms.string('TIGHTLEPVETO'),
),
src = cms.InputTag("slimmedJetsAK8")
)
bJetVars = cms.EDProducer("JetRegressionVarProducer",
pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
src = cms.InputTag("slimmedJets"),
svsrc = cms.InputTag("slimmedSecondaryVertices"),
gpsrc = cms.InputTag("prunedGenParticles"),
#musrc = cms.InputTag("slimmedMuons"),
#elesrc = cms.InputTag("slimmedElectrons")
)
slimmedJetsWithUserData = cms.EDProducer("PATJetUserDataEmbedder",
src = cms.InputTag("slimmedJets"),
userFloats = cms.PSet(
leadTrackPt = cms.InputTag("bJetVars:leadTrackPt"),
leptonPtRel = cms.InputTag("bJetVars:leptonPtRel"),
leptonPtRatio = cms.InputTag("bJetVars:leptonPtRatio"),
leptonPtRelInv = cms.InputTag("bJetVars:leptonPtRelInv"),
leptonPtRelv0 = cms.InputTag("bJetVars:leptonPtRelv0"),
leptonPtRatiov0 = cms.InputTag("bJetVars:leptonPtRatiov0"),
leptonPtRelInvv0 = cms.InputTag("bJetVars:leptonPtRelInvv0"),
leptonDeltaR = cms.InputTag("bJetVars:leptonDeltaR"),
leptonPt = cms.InputTag("bJetVars:leptonPt"),
vtxPt = cms.InputTag("bJetVars:vtxPt"),
vtxMass = cms.InputTag("bJetVars:vtxMass"),
vtx3dL = cms.InputTag("bJetVars:vtx3dL"),
vtx3deL = cms.InputTag("bJetVars:vtx3deL"),
ptD = cms.InputTag("bJetVars:ptD"),
genPtwNu = cms.InputTag("bJetVars:genPtwNu"),
),
userInts = cms.PSet(
tightId = cms.InputTag("tightJetId"),
tightIdLepVeto = cms.InputTag("tightJetIdLepVeto"),
vtxNtrk = cms.InputTag("bJetVars:vtxNtrk"),
leptonPdgId = cms.InputTag("bJetVars:leptonPdgId"),
),
)
run2_miniAOD_80XLegacy.toModify( slimmedJetsWithUserData.userInts,
looseId = cms.InputTag("looseJetId"),
tightIdLepVeto = None,
)
slimmedJetsAK8WithUserData = cms.EDProducer("PATJetUserDataEmbedder",
src = cms.InputTag("slimmedJetsAK8"),
userFloats = cms.PSet(),
userInts = cms.PSet(
tightId = cms.InputTag("tightJetIdAK8"),
tightIdLepVeto = cms.InputTag("tightJetIdLepVetoAK8"),
),
)
run2_miniAOD_80XLegacy.toModify( slimmedJetsAK8WithUserData.userInts,
looseId = cms.InputTag("looseJetIdAK8"),
tightIdLepVeto = None,
)
from PhysicsTools.PatAlgos.recoLayer0.jetCorrFactors_cfi import *
# Note: Safe to always add 'L2L3Residual' as MC contains dummy L2L3Residual corrections (always set to 1)
# (cf. https://twiki.cern.ch/twiki/bin/view/CMSPublic/WorkBookJetEnergyCorrections#CMSSW_7_6_4_and_above )
jetCorrFactorsNano = patJetCorrFactors.clone(src='slimmedJetsWithUserData',
levels = cms.vstring('L1FastJet',
'L2Relative',
'L3Absolute',
'L2L3Residual'),
primaryVertices = cms.InputTag("offlineSlimmedPrimaryVertices"),
)
jetCorrFactorsAK8 = patJetCorrFactors.clone(src='slimmedJetsAK8WithUserData',
levels = cms.vstring('L1FastJet',
'L2Relative',
'L3Absolute',
'L2L3Residual'),
payload = cms.string('AK8PFPuppi'),
primaryVertices = cms.InputTag("offlineSlimmedPrimaryVertices"),
)
from PhysicsTools.PatAlgos.producersLayer1.jetUpdater_cfi import *
updatedJets = updatedPatJets.clone(
addBTagInfo=False,
jetSource='slimmedJetsWithUserData',
jetCorrFactorsSource=cms.VInputTag(cms.InputTag("jetCorrFactorsNano") ),
)
finalJets = cms.EDFilter("PATJetRefSelector",
src = cms.InputTag("updatedJets"),
cut = cms.string("pt > 15")
)
updatedJetsAK8 = updatedPatJets.clone(
addBTagInfo=False,
jetSource='slimmedJetsAK8WithUserData',
jetCorrFactorsSource=cms.VInputTag(cms.InputTag("jetCorrFactorsAK8") ),
)
finalJetsAK8 = cms.EDFilter("PATJetRefSelector",
src = cms.InputTag("updatedJetsAK8"),
cut = cms.string("pt > 170")
)
##################### Tables for final output and docs ##########################
jetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("linkedObjects","jets"),
cut = cms.string(""), #we should not filter on cross linked collections
name = cms.string("Jet"),
doc = cms.string("slimmedJets, i.e. ak4 PFJets CHS with JECs applied, after basic selection (" + finalJets.cut.value()+")"),
singleton = cms.bool(False), # the number of entries is variable
extension = cms.bool(False), # this is the main table for the jets
externalVariables = cms.PSet(
#bRegOld = ExtVar(cms.InputTag("bjetMVA"),float, doc="pt corrected with b-jet regression",precision=14),
bRegCorr = ExtVar(cms.InputTag("bjetNN:corr"),float, doc="pt correction for b-jet energy regression",precision=12),
bRegRes = ExtVar(cms.InputTag("bjetNN:res"),float, doc="res on pt corrected with b-jet regression",precision=8),
),
variables = cms.PSet(P4Vars,
area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10),
nMuons = Var("?hasOverlaps('muons')?overlaps('muons').size():0", int, doc="number of muons in the jet"),
muonIdx1 = Var("?overlaps('muons').size()>0?overlaps('muons')[0].key():-1", int, doc="index of first matching muon"),
muonIdx2 = Var("?overlaps('muons').size()>1?overlaps('muons')[1].key():-1", int, doc="index of second matching muon"),
electronIdx1 = Var("?overlaps('electrons').size()>0?overlaps('electrons')[0].key():-1", int, doc="index of first matching electron"),
electronIdx2 = Var("?overlaps('electrons').size()>1?overlaps('electrons')[1].key():-1", int, doc="index of second matching electron"),
nElectrons = Var("?hasOverlaps('electrons')?overlaps('electrons').size():0", int, doc="number of electrons in the jet"),
btagCMVA = Var("bDiscriminator('pfCombinedMVAV2BJetTags')",float,doc="CMVA V2 btag discriminator",precision=10),
btagDeepB = Var("bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb')",float,doc="DeepCSV b+bb tag discriminator",precision=10),
btagDeepFlavB = Var("bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')",float,doc="DeepFlavour b+bb+lepb tag discriminator",precision=10),
btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
btagDeepC = Var("bDiscriminator('pfDeepCSVJetTags:probc')",float,doc="DeepCSV charm btag discriminator",precision=10),
#puIdDisc = Var("userFloat('pileupJetId:fullDiscriminant')",float,doc="Pilup ID discriminant",precision=10),
puId = Var("userInt('pileupJetId:fullId')",int,doc="Pilup ID flags"),
jetId = Var("userInt('tightId')*2+4*userInt('tightIdLepVeto')",int,doc="Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto"),
qgl = Var("userFloat('QGTagger:qgLikelihood')",float,doc="Quark vs Gluon likelihood discriminator",precision=10),
nConstituents = Var("numberOfDaughters()",int,doc="Number of particles in the jet"),
rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
chHEF = Var("chargedHadronEnergyFraction()", float, doc="charged Hadron Energy Fraction", precision= 6),
neHEF = Var("neutralHadronEnergyFraction()", float, doc="neutral Hadron Energy Fraction", precision= 6),
chEmEF = Var("chargedEmEnergyFraction()", float, doc="charged Electromagnetic Energy Fraction", precision= 6),
neEmEF = Var("neutralEmEnergyFraction()", float, doc="neutral Electromagnetic Energy Fraction", precision= 6),
muEF = Var("muonEnergyFraction()", float, doc="muon Energy Fraction", precision= 6),
)
)
#jets are not as precise as muons
jetTable.variables.pt.precision=10
### Era dependent customization
run2_miniAOD_80XLegacy.toModify( slimmedJetsWithUserData.userFloats,qgl=cms.InputTag('qgtagger80x:qgLikelihood'))
run2_miniAOD_80XLegacy.toModify( jetTable.variables.qgl, expr="userFloat('qgl')" )
run2_miniAOD_80XLegacy.toModify( jetTable.variables, jetId = Var("userInt('tightId')*2+userInt('looseId')",int,doc="Jet ID flags bit1 is loose, bit2 is tight"))
bjetMVA= cms.EDProducer("BJetEnergyRegressionMVA",
backend = cms.string("TMVA"),
src = cms.InputTag("linkedObjects","jets"),
pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
svsrc = cms.InputTag("slimmedSecondaryVertices"),
rhosrc = cms.InputTag("fixedGridRhoFastjetAll"),
weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/bjet-regression.xml"),
name = cms.string("JetReg"),
isClassifier = cms.bool(False),
variablesOrder = cms.vstring(["Jet_pt","nPVs","Jet_eta","Jet_mt","Jet_leadTrackPt","Jet_leptonPtRel","Jet_leptonPt","Jet_leptonDeltaR","Jet_neHEF","Jet_neEmEF","Jet_vtxPt","Jet_vtxMass","Jet_vtx3dL","Jet_vtxNtrk","Jet_vtx3deL"]),
variables = cms.PSet(
Jet_pt = cms.string("pt"),
Jet_eta = cms.string("eta"),
Jet_mt = cms.string("mt"),
Jet_leadTrackPt = cms.string("userFloat('leadTrackPt')"),
Jet_vtxNtrk = cms.string("userInt('vtxNtrk')"),
Jet_vtxMass = cms.string("userFloat('vtxMass')"),
Jet_vtx3dL = cms.string("userFloat('vtx3dL')"),
Jet_vtx3deL = cms.string("userFloat('vtx3deL')"),
Jet_vtxPt = cms.string("userFloat('vtxPt')"),
Jet_leptonPtRel = cms.string("userFloat('leptonPtRelv0')"),
Jet_leptonPt = cms.string("?overlaps('muons').size()>0?overlaps('muons')[0].pt():(?overlaps('electrons').size()>0?overlaps('electrons')[0].pt():0)"),
Jet_neHEF = cms.string("neutralHadronEnergy()/energy()"),
Jet_neEmEF = cms.string("neutralEmEnergy()/energy()"),
Jet_leptonDeltaR = cms.string('''?overlaps('muons').size()>0?deltaR(eta,phi,overlaps('muons')[0].eta,overlaps('muons')[0].phi):
(?overlaps('electrons').size()>0?deltaR(eta,phi,overlaps('electrons')[0].eta,overlaps('electrons')[0].phi):
0)'''),
)
)
bjetNN= cms.EDProducer("BJetEnergyRegressionMVA",
backend = cms.string("TF"),
src = cms.InputTag("linkedObjects","jets"),
pvsrc = cms.InputTag("offlineSlimmedPrimaryVertices"),
svsrc = cms.InputTag("slimmedSecondaryVertices"),
rhosrc = cms.InputTag("fixedGridRhoFastjetAll"),
weightFile = cms.FileInPath("PhysicsTools/NanoAOD/data/breg_training_2017.pb"),
name = cms.string("JetRegNN"),
isClassifier = cms.bool(False),
variablesOrder = cms.vstring(["Jet_pt","Jet_eta","rho","Jet_mt","Jet_leadTrackPt","Jet_leptonPtRel","Jet_leptonDeltaR","Jet_neHEF","Jet_neEmEF","Jet_vtxPt","Jet_vtxMass","Jet_vtx3dL","Jet_vtxNtrk","Jet_vtx3deL","Jet_numDaughters_pt03","Jet_energyRing_dR0_em_Jet_rawEnergy","Jet_energyRing_dR1_em_Jet_rawEnergy","Jet_energyRing_dR2_em_Jet_rawEnergy","Jet_energyRing_dR3_em_Jet_rawEnergy","Jet_energyRing_dR4_em_Jet_rawEnergy","Jet_energyRing_dR0_neut_Jet_rawEnergy","Jet_energyRing_dR1_neut_Jet_rawEnergy","Jet_energyRing_dR2_neut_Jet_rawEnergy","Jet_energyRing_dR3_neut_Jet_rawEnergy","Jet_energyRing_dR4_neut_Jet_rawEnergy","Jet_energyRing_dR0_ch_Jet_rawEnergy","Jet_energyRing_dR1_ch_Jet_rawEnergy","Jet_energyRing_dR2_ch_Jet_rawEnergy","Jet_energyRing_dR3_ch_Jet_rawEnergy","Jet_energyRing_dR4_ch_Jet_rawEnergy","Jet_energyRing_dR0_mu_Jet_rawEnergy","Jet_energyRing_dR1_mu_Jet_rawEnergy","Jet_energyRing_dR2_mu_Jet_rawEnergy","Jet_energyRing_dR3_mu_Jet_rawEnergy","Jet_energyRing_dR4_mu_Jet_rawEnergy","Jet_chHEF","Jet_chEmEF","Jet_leptonPtRelInv","isEle","isMu","isOther","Jet_mass","Jet_ptd"]),
variables = cms.PSet(
Jet_pt = cms.string("pt*jecFactor('Uncorrected')"),
Jet_mt = cms.string("mt*jecFactor('Uncorrected')"),
Jet_eta = cms.string("eta"),
Jet_mass = cms.string("mass*jecFactor('Uncorrected')"),
Jet_ptd = cms.string("userFloat('ptD')"),
Jet_leadTrackPt = cms.string("userFloat('leadTrackPt')"),
Jet_vtxNtrk = cms.string("userInt('vtxNtrk')"),
Jet_vtxMass = cms.string("userFloat('vtxMass')"),
Jet_vtx3dL = cms.string("userFloat('vtx3dL')"),
Jet_vtx3deL = cms.string("userFloat('vtx3deL')"),
Jet_vtxPt = cms.string("userFloat('vtxPt')"),
#Jet_leptonPt = cms.string("userFloat('leptonPt')"),
Jet_leptonPtRel = cms.string("userFloat('leptonPtRelv0')"),
Jet_leptonPtRelInv = cms.string("userFloat('leptonPtRelInvv0')*jecFactor('Uncorrected')"),
Jet_leptonDeltaR = cms.string("userFloat('leptonDeltaR')"),
#Jet_leptonPdgId = cms.string("userInt('leptonPdgId')"),
Jet_neHEF = cms.string("neutralHadronEnergyFraction()"),
Jet_neEmEF = cms.string("neutralEmEnergyFraction()"),
Jet_chHEF = cms.string("chargedHadronEnergyFraction()"),
Jet_chEmEF = cms.string("chargedEmEnergyFraction()"),
isMu = cms.string("?abs(userInt('leptonPdgId'))==13?1:0"),
isEle = cms.string("?abs(userInt('leptonPdgId'))==11?1:0"),
isOther = cms.string("?userInt('leptonPdgId')==0?1:0"),
),
inputTensorName = cms.string("ffwd_inp"),
outputTensorName = cms.string("ffwd_out/BiasAdd"),
outputNames = cms.vstring(["corr","res"]),
outputFormulas = cms.vstring(["at(0)*0.28492164611816406+1.0596693754196167","0.5*(at(2)-at(1))*0.28492164611816406"]),
nThreads = cms.uint32(1),
singleThreadPool = cms.string("no_threads"),
)
##### Soft Activity tables
saJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("softActivityJets"),
cut = cms.string(""),
maxLen = cms.uint32(6),
name = cms.string("SoftActivityJet"),
doc = cms.string("jets clustered from charged candidates compatible with primary vertex (" + chsForSATkJets.cut.value()+")"),
singleton = cms.bool(False), # the number of entries is variable
extension = cms.bool(False), # this is the main table for the jets
variables = cms.PSet(P3Vars,
)
)
saJetTable.variables.pt.precision=10
saJetTable.variables.eta.precision=8
saJetTable.variables.phi.precision=8
saTable = cms.EDProducer("GlobalVariablesTableProducer",
variables = cms.PSet(
SoftActivityJetHT = ExtVar( cms.InputTag("softActivityJets"), "candidatescalarsum", doc = "scalar sum of soft activity jet pt, pt>1" ),
SoftActivityJetHT10 = ExtVar( cms.InputTag("softActivityJets10"), "candidatescalarsum", doc = "scalar sum of soft activity jet pt , pt >10" ),
SoftActivityJetHT5 = ExtVar( cms.InputTag("softActivityJets5"), "candidatescalarsum", doc = "scalar sum of soft activity jet pt, pt>5" ),
SoftActivityJetHT2 = ExtVar( cms.InputTag("softActivityJets2"), "candidatescalarsum", doc = "scalar sum of soft activity jet pt, pt >2" ),
SoftActivityJetNjets10 = ExtVar( cms.InputTag("softActivityJets10"), "candidatesize", doc = "number of soft activity jet pt, pt >2" ),
SoftActivityJetNjets5 = ExtVar( cms.InputTag("softActivityJets5"), "candidatesize", doc = "number of soft activity jet pt, pt >5" ),
SoftActivityJetNjets2 = ExtVar( cms.InputTag("softActivityJets2"), "candidatesize", doc = "number of soft activity jet pt, pt >10" ),
)
)
## BOOSTED STUFF #################
fatJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("finalJetsAK8"),
cut = cms.string(" pt > 170"), #probably already applied in miniaod
name = cms.string("FatJet"),
doc = cms.string("slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis"),
singleton = cms.bool(False), # the number of entries is variable
extension = cms.bool(False), # this is the main table for the jets
variables = cms.PSet(P4Vars,
jetId = Var("userInt('tightId')*2+4*userInt('tightIdLepVeto')",int,doc="Jet ID flags bit1 is loose (always false in 2017 since it does not exist), bit2 is tight, bit3 is tightLepVeto"),
area = Var("jetArea()", float, doc="jet catchment area, for JECs",precision=10),
rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
tau1 = Var("userFloat('NjettinessAK8Puppi:tau1')",float, doc="Nsubjettiness (1 axis)",precision=10),
tau2 = Var("userFloat('NjettinessAK8Puppi:tau2')",float, doc="Nsubjettiness (2 axis)",precision=10),
tau3 = Var("userFloat('NjettinessAK8Puppi:tau3')",float, doc="Nsubjettiness (3 axis)",precision=10),
tau4 = Var("userFloat('NjettinessAK8Puppi:tau4')",float, doc="Nsubjettiness (4 axis)",precision=10),
n2b1 = Var("userFloat('ak8PFJetsPuppiSoftDropValueMap:nb1AK8PuppiSoftDropN2')", float, doc="N2 with beta=1", precision=10),
n3b1 = Var("userFloat('ak8PFJetsPuppiSoftDropValueMap:nb1AK8PuppiSoftDropN3')", float, doc="N3 with beta=1", precision=10),
msoftdrop = Var("groomedMass('SoftDropPuppi')",float, doc="Corrected soft drop mass with PUPPI",precision=10),
btagCMVA = Var("bDiscriminator('pfCombinedMVAV2BJetTags')",float,doc="CMVA V2 btag discriminator",precision=10),
btagDeepB = Var("bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb')",float,doc="DeepCSV b+bb tag discriminator",precision=10),
btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
btagHbb = Var("bDiscriminator('pfBoostedDoubleSecondaryVertexAK8BJetTags')",float,doc="Higgs to BB tagger discriminator",precision=10),
subJetIdx1 = Var("?nSubjetCollections()>0 && subjets().size()>0?subjets()[0].key():-1", int,
doc="index of first subjet"),
subJetIdx2 = Var("?nSubjetCollections()>0 && subjets().size()>1?subjets()[1].key():-1", int,
doc="index of second subjet"),
# btagDeepC = Var("bDiscriminator('pfDeepCSVJetTags:probc')",float,doc="CMVA V2 btag discriminator",precision=10),
#puIdDisc = Var("userFloat('pileupJetId:fullDiscriminant')",float,doc="Pilup ID discriminant",precision=10),
# nConstituents = Var("numberOfDaughters()",int,doc="Number of particles in the jet"),
# rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
)
)
### Era dependent customization
run2_miniAOD_80XLegacy.toModify( bjetNN,outputFormulas = cms.vstring(["at(0)*0.31628304719924927+1.0454729795455933","0.5*(at(2)-at(1))*0.31628304719924927"]))
run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, msoftdrop_chs = Var("userFloat('ak8PFJetsCHSSoftDropMass')",float, doc="Legacy uncorrected soft drop mass with CHS",precision=10))
run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.tau1, expr = cms.string("userFloat(\'ak8PFJetsPuppiValueMap:NjettinessAK8PuppiTau1\')"),)
run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.tau2, expr = cms.string("userFloat(\'ak8PFJetsPuppiValueMap:NjettinessAK8PuppiTau2\')"),)
run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.tau3, expr = cms.string("userFloat(\'ak8PFJetsPuppiValueMap:NjettinessAK8PuppiTau3\')"),)
run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.tau4, expr = cms.string("-1"),)
run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.n2b1, expr = cms.string("-1"),)
run2_miniAOD_80XLegacy.toModify( fatJetTable.variables.n3b1, expr = cms.string("-1"),)
run2_miniAOD_80XLegacy.toModify( fatJetTable.variables, jetId = Var("userInt('tightId')*2+userInt('looseId')",int,doc="Jet ID flags bit1 is loose, bit2 is tight"))
run2_nanoAOD_92X.toModify( fatJetTable.variables.tau4, expr = cms.string("-1"),)
run2_nanoAOD_92X.toModify( fatJetTable.variables.n2b1, expr = cms.string("-1"),)
run2_nanoAOD_92X.toModify( fatJetTable.variables.n3b1, expr = cms.string("-1"),)
subJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("slimmedJetsAK8PFPuppiSoftDropPacked","SubJets"),
cut = cms.string(""), #probably already applied in miniaod
name = cms.string("SubJet"),
doc = cms.string("slimmedJetsAK8, i.e. ak8 fat jets for boosted analysis"),
singleton = cms.bool(False), # the number of entries is variable
extension = cms.bool(False), # this is the main table for the jets
variables = cms.PSet(P4Vars,
btagCMVA = Var("bDiscriminator('pfCombinedMVAV2BJetTags')",float,doc="CMVA V2 btag discriminator",precision=10),
btagDeepB = Var("bDiscriminator('pfDeepCSVJetTags:probb')+bDiscriminator('pfDeepCSVJetTags:probbb')",float,doc="DeepCSV b+bb tag discriminator",precision=10),
btagCSVV2 = Var("bDiscriminator('pfCombinedInclusiveSecondaryVertexV2BJetTags')",float,doc=" pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)",precision=10),
tau1 = Var("userFloat('NjettinessAK8Subjets:tau1')",float, doc="Nsubjettiness (1 axis)",precision=10),
tau2 = Var("userFloat('NjettinessAK8Subjets:tau2')",float, doc="Nsubjettiness (2 axis)",precision=10),
tau3 = Var("userFloat('NjettinessAK8Subjets:tau3')",float, doc="Nsubjettiness (3 axis)",precision=10),
tau4 = Var("userFloat('NjettinessAK8Subjets:tau4')",float, doc="Nsubjettiness (4 axis)",precision=10),
n2b1 = Var("userFloat('nb1AK8PuppiSoftDropSubjets:ecfN2')", float, doc="N2 with beta=1", precision=10),
n3b1 = Var("userFloat('nb1AK8PuppiSoftDropSubjets:ecfN3')", float, doc="N3 with beta=1", precision=10),
)
)
#jets are not as precise as muons
fatJetTable.variables.pt.precision=10
subJetTable.variables.pt.precision=10
run2_miniAOD_80XLegacy.toModify( subJetTable.variables.tau1, expr = cms.string("-1"),)
run2_miniAOD_80XLegacy.toModify( subJetTable.variables.tau2, expr = cms.string("-1"),)
run2_miniAOD_80XLegacy.toModify( subJetTable.variables.tau3, expr = cms.string("-1"),)
run2_miniAOD_80XLegacy.toModify( subJetTable.variables.tau4, expr = cms.string("-1"),)
run2_miniAOD_80XLegacy.toModify( subJetTable.variables.n2b1, expr = cms.string("-1"),)
run2_miniAOD_80XLegacy.toModify( subJetTable.variables.n3b1, expr = cms.string("-1"),)
run2_nanoAOD_92X.toModify( subJetTable.variables.tau4, expr = cms.string("-1"),)
run2_nanoAOD_92X.toModify( subJetTable.variables.n2b1, expr = cms.string("-1"),)
run2_nanoAOD_92X.toModify( subJetTable.variables.n3b1, expr = cms.string("-1"),)
## MC STUFF ######################
jetMCTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("linkedObjects","jets"),
cut = cms.string(""), #we should not filter on cross linked collections
name = cms.string("Jet"),
singleton = cms.bool(False), # the number of entries is variable
extension = cms.bool(True), # this is an extension table for the jets
variables = cms.PSet(
partonFlavour = Var("partonFlavour()", int, doc="flavour from parton matching"),
hadronFlavour = Var("hadronFlavour()", int, doc="flavour from hadron ghost clustering"),
genJetIdx = Var("?genJetFwdRef().backRef().isNonnull()?genJetFwdRef().backRef().key():-1", int, doc="index of matched gen jet"),
)
)
genJetTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("slimmedGenJets"),
cut = cms.string("pt > 10"),
name = cms.string("GenJet"),
doc = cms.string("slimmedGenJets, i.e. ak4 Jets made with visible genparticles"),
singleton = cms.bool(False), # the number of entries is variable
extension = cms.bool(False), # this is the main table for the genjets
variables = cms.PSet(P4Vars,
#anything else?
)
)
patJetPartons = cms.EDProducer('HadronAndPartonSelector',
src = cms.InputTag("generator"),
particles = cms.InputTag("prunedGenParticles"),
partonMode = cms.string("Auto"),
fullChainPhysPartons = cms.bool(True)
)
genJetFlavourAssociation = cms.EDProducer("JetFlavourClustering",
jets = genJetTable.src,
bHadrons = cms.InputTag("patJetPartons","bHadrons"),
cHadrons = cms.InputTag("patJetPartons","cHadrons"),
partons = cms.InputTag("patJetPartons","physicsPartons"),
leptons = cms.InputTag("patJetPartons","leptons"),
jetAlgorithm = cms.string("AntiKt"),
rParam = cms.double(0.4),
ghostRescaling = cms.double(1e-18),
hadronFlavourHasPriority = cms.bool(False)
)
genJetFlavourTable = cms.EDProducer("GenJetFlavourTableProducer",
name = genJetTable.name,
src = genJetTable.src,
cut = genJetTable.cut,
deltaR = cms.double(0.1),
jetFlavourInfos = cms.InputTag("slimmedGenJetsFlavourInfos"),
)
genJetAK8Table = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("slimmedGenJetsAK8"),
cut = cms.string("pt > 100."),
name = cms.string("GenJetAK8"),
doc = cms.string("slimmedGenJetsAK8SoftDropSubJets, i.e. subjets of ak8 Jets made with visible genparticles"),
singleton = cms.bool(False), # the number of entries is variable
extension = cms.bool(False), # this is the main table for the genjets
variables = cms.PSet(P4Vars,
#anything else?
)
)
genJetAK8FlavourAssociation = cms.EDProducer("JetFlavourClustering",
jets = genJetAK8Table.src,
bHadrons = cms.InputTag("patJetPartons","bHadrons"),
cHadrons = cms.InputTag("patJetPartons","cHadrons"),
partons = cms.InputTag("patJetPartons","physicsPartons"),
leptons = cms.InputTag("patJetPartons","leptons"),
jetAlgorithm = cms.string("AntiKt"),
rParam = cms.double(0.8),
ghostRescaling = cms.double(1e-18),
hadronFlavourHasPriority = cms.bool(False)
)
genJetAK8FlavourTable = cms.EDProducer("GenJetFlavourTableProducer",
name = genJetAK8Table.name,
src = genJetAK8Table.src,
cut = genJetAK8Table.cut,
deltaR = cms.double(0.1),
jetFlavourInfos = cms.InputTag("genJetAK8FlavourAssociation"),
)
genSubJetAK8Table = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("slimmedGenJetsAK8SoftDropSubJets"),
cut = cms.string(""), ## These don't get a pt cut, but in miniAOD only subjets from fat jets with pt > 100 are kept
name = cms.string("SubGenJetAK8"),
doc = cms.string("slimmedGenJetsAK8SoftDropSubJets, i.e. subjets of ak8 Jets made with visible genparticles"),
singleton = cms.bool(False), # the number of entries is variable
extension = cms.bool(False), # this is the main table for the genjets
variables = cms.PSet(P4Vars,
#anything else?
)
)
### Era dependent customization
run2_miniAOD_80XLegacy.toModify( genJetFlavourTable, jetFlavourInfos = cms.InputTag("genJetFlavourAssociation"),)
run2_nanoAOD_92X.toModify( genJetFlavourTable, jetFlavourInfos = cms.InputTag("genJetFlavourAssociation"),)
#before cross linking
jetSequence = cms.Sequence(tightJetId+tightJetIdLepVeto+bJetVars+slimmedJetsWithUserData+jetCorrFactorsNano+updatedJets+tightJetIdAK8+tightJetIdLepVetoAK8+slimmedJetsAK8WithUserData+jetCorrFactorsAK8+updatedJetsAK8+chsForSATkJets+softActivityJets+softActivityJets2+softActivityJets5+softActivityJets10+finalJets+finalJetsAK8)
from RecoJets.JetProducers.QGTagger_cfi import QGTagger
qgtagger80x=QGTagger.clone(srcJets="slimmedJets",srcVertexCollection="offlineSlimmedPrimaryVertices")
_jetSequence_80X = jetSequence.copy()
_jetSequence_80X.replace(tightJetIdLepVeto, looseJetId)
_jetSequence_80X.replace(tightJetIdLepVetoAK8, looseJetIdAK8)
_jetSequence_80X.insert(1,qgtagger80x)
run2_miniAOD_80XLegacy.toReplaceWith(jetSequence, _jetSequence_80X)
#after cross linkining
jetTables = cms.Sequence(bjetMVA+bjetNN+jetTable+fatJetTable+subJetTable+saJetTable+saTable)
#MC only producers and tables
jetMC = cms.Sequence(jetMCTable+genJetTable+patJetPartons+genJetFlavourTable+genJetAK8Table+genJetAK8FlavourAssociation+genJetAK8FlavourTable+genSubJetAK8Table)
_jetMC_pre94X = jetMC.copy()
_jetMC_pre94X.insert(_jetMC_pre94X.index(genJetFlavourTable),genJetFlavourAssociation)
_jetMC_pre94X.remove(genSubJetAK8Table)
run2_miniAOD_80XLegacy.toReplaceWith(jetMC, _jetMC_pre94X)
run2_nanoAOD_92X.toReplaceWith(jetMC, _jetMC_pre94X)