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Merge branch 'PUPPIMETwithPUPPIV15' of https://github.com/alefisico/c…
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…mssw into from-CMSSW_11_2_X_2020-11-01-2300
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alefisico committed Nov 2, 2020
2 parents 2383795 + 0d7e2c6 commit e39ee00
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49 changes: 28 additions & 21 deletions PhysicsTools/NanoAOD/python/jets_cff.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
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)
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'))
Expand Down Expand Up @@ -128,7 +128,7 @@
)

jercVars = cms.EDProducer("BetaStarPackedCandidateVarProducer",
srcJet = cms.InputTag("updatedJets"),
srcJet = cms.InputTag("updatedJets"),
srcPF = cms.InputTag("packedPFCandidates"),
maxDR = cms.double(0.4)
)
Expand All @@ -154,16 +154,18 @@
qgl = cms.InputTag('qgtagger:qgLikelihood'),
puId94XDisc = cms.InputTag('pileupJetId94X:fullDiscriminant'),
puId102XDisc = cms.InputTag('pileupJetId102X:fullDiscriminant'),
puId106XUL17Disc = cms.InputTag('pileupJetId106XUL17:fullDiscriminant'),
chFPV0EF = cms.InputTag("jercVars:chargedFromPV0EnergyFraction"),
chFPV1EF = cms.InputTag("jercVars:chargedFromPV1EnergyFraction"),
chFPV2EF = cms.InputTag("jercVars:chargedFromPV2EnergyFraction"),
chFPV3EF = cms.InputTag("jercVars:chargedFromPV3EnergyFraction"),
chFPV3EF = cms.InputTag("jercVars:chargedFromPV3EnergyFraction"),
),
userInts = cms.PSet(
tightId = cms.InputTag("tightJetId"),
tightIdLepVeto = cms.InputTag("tightJetIdLepVeto"),
vtxNtrk = cms.InputTag("bJetVars:vtxNtrk"),
leptonPdgId = cms.InputTag("bJetVars:leptonPdgId"),
puId106XUL17Id = cms.InputTag('pileupJetId106XUL17:fullId'),
),
)
for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
Expand Down Expand Up @@ -235,8 +237,8 @@
btagDeepFlavCvL = Var("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg')):-1",float,doc="DeepJet c vs uds+g discriminator",precision=10),
btagDeepFlavCvB = Var("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')):-1",float,doc="DeepJet c vs b+bb+lepb discriminator",precision=10),
btagDeepFlavQG = Var("?(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds'))>0?bDiscriminator('pfDeepFlavourJetTags:probg')/(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds')):-1",float,doc="DeepJet g vs uds discriminator",precision=10),
puIdDisc = Var("userFloat('puId102XDisc')",float,doc="Pilup ID discriminant with 102X (2018) training",precision=10),
puId = Var("userInt('pileupJetId:fullId')",int,doc="Pilup ID flags with 80X (2016) training"),
puIdDisc = Var("userFloat('puId102XDisc')",float,doc="Pileup ID discriminant with 102X (2018) training",precision=10),
puId = Var("userInt('pileupJetId:fullId')",int,doc="Pileup ID flags for pre-UL trainings"),
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('qgl')",float,doc="Quark vs Gluon likelihood discriminator",precision=10),
hfsigmaEtaEta = Var("userFloat('hfJetShowerShape:sigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10),
Expand Down Expand Up @@ -269,9 +271,13 @@
btagDeepFlavC = Var("bDiscriminator('pfDeepFlavourJetTags:probc')",float,doc="DeepFlavour charm tag discriminator",precision=10),
)
for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
modifier.toModify( jetTable.variables, jetId = Var("userInt('tightIdLepVeto')*4+userInt('tightId')*2+userInt('looseId')",int,doc="Jet ID flags bit1 is loose, bit2 is tight, bit3 is tightLepVeto"))
run2_jme_2016.toModify( jetTable.variables, puIdDisc = Var("userFloat('pileupJetId:fullDiscriminant')",float,doc="Pilup ID discriminant with 80X (2016) training",precision=10))
run2_jme_2017.toModify( jetTable.variables, puIdDisc = Var("userFloat('puId94XDisc')", float,doc="Pilup ID discriminant with 94X (2017) training",precision=10))
modifier.toModify( jetTable.variables, jetId = Var("userInt('tightIdLepVeto')*4+userInt('tightId')*2+userInt('looseId')",int,doc="Jet ID flags bit1 is loose, bit2 is tight, bit3 is tightLepVeto"))
run2_jme_2016.toModify( jetTable.variables, puIdDisc = Var("userFloat('pileupJetId:fullDiscriminant')",float,doc="Pileup ID discriminant with 80X (2016) training",precision=10))
run2_jme_2017.toModify( jetTable.variables, puId = Var("userInt('puId106XUL17Id')", int,doc="Pileup ID flags with 106X (2017) training"))
run2_jme_2017.toModify( jetTable.variables, puIdDisc = Var("userFloat('puId106XUL17Disc')", float,doc="Pileup ID discriminant with 106X (2017) training",precision=10))
for modifier in run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2:
modifier.toModify( jetTable.variables, puIdDisc = Var("userFloat('puId94XDisc')", float,doc="Pileup ID discriminant with 94X (2017) training",precision=10))


bjetNN= cms.EDProducer("BJetEnergyRegressionMVA",
backend = cms.string("TF"),
Expand Down Expand Up @@ -470,7 +476,7 @@
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),
#puIdDisc = Var("userFloat('pileupJetId:fullDiscriminant')",float,doc="Pileup 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),
),
Expand All @@ -487,12 +493,12 @@
# Deprecated after 106X
modifier.toModify( fatJetTable.variables,
btagCMVA = Var("bDiscriminator('pfCombinedMVAV2BJetTags')",float,doc="CMVA V2 btag discriminator",precision=10),
btagDDBvL_noMD = Var("bDiscriminator('pfDeepDoubleBvLJetTags:probHbb')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->bb vs QCD",precision=10),
btagDDCvL_noMD = Var("bDiscriminator('pfDeepDoubleCvLJetTags:probHcc')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->cc vs QCD",precision=10),
btagDDCvB_noMD = Var("bDiscriminator('pfDeepDoubleCvBJetTags:probHcc')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->cc vs H(Z)->bb",precision=10),
btagDDBvL = Var("bDiscriminator('pfMassIndependentDeepDoubleBvLJetTags:probHbb')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->bb vs QCD",precision=10),
btagDDCvL = Var("bDiscriminator('pfMassIndependentDeepDoubleCvLJetTags:probHcc')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->cc vs QCD",precision=10),
btagDDCvB = Var("bDiscriminator('pfMassIndependentDeepDoubleCvBJetTags:probHcc')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->cc vs H(Z)->bb",precision=10),
btagDDBvL_noMD = Var("bDiscriminator('pfDeepDoubleBvLJetTags:probHbb')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->bb vs QCD",precision=10),
btagDDCvL_noMD = Var("bDiscriminator('pfDeepDoubleCvLJetTags:probHcc')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->cc vs QCD",precision=10),
btagDDCvB_noMD = Var("bDiscriminator('pfDeepDoubleCvBJetTags:probHcc')",float,doc="DeepDoubleX discriminator (no mass-decorrelation) for H(Z)->cc vs H(Z)->bb",precision=10),
btagDDBvL = Var("bDiscriminator('pfMassIndependentDeepDoubleBvLJetTags:probHbb')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->bb vs QCD",precision=10),
btagDDCvL = Var("bDiscriminator('pfMassIndependentDeepDoubleCvLJetTags:probHcc')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->cc vs QCD",precision=10),
btagDDCvB = Var("bDiscriminator('pfMassIndependentDeepDoubleCvBJetTags:probHcc')",float,doc="DeepDoubleX (mass-decorrelated) discriminator for H(Z)->cc vs H(Z)->bb",precision=10),
)
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\')"),)
Expand Down Expand Up @@ -528,7 +534,7 @@
variables = cms.PSet(P4Vars,
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),
rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
rawFactor = Var("1.-jecFactor('Uncorrected')",float,doc="1 - Factor to get back to raw pT",precision=6),
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),
Expand Down Expand Up @@ -698,12 +704,13 @@
qgtagger=QGTagger.clone(srcJets="updatedJets",srcVertexCollection="offlineSlimmedPrimaryVertices")


from RecoJets.JetProducers.PileupJetID_cfi import pileupJetId, _chsalgos_94x, _chsalgos_102x
from RecoJets.JetProducers.PileupJetID_cfi import pileupJetId, _chsalgos_94x, _chsalgos_102x, _chsalgos_106X_UL17
pileupJetId94X=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_94x),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
pileupJetId102X=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_102x),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")
pileupJetId106XUL17=pileupJetId.clone(jets="updatedJets",algos = cms.VPSet(_chsalgos_106X_UL17),inputIsCorrected=True,applyJec=False,vertexes="offlineSlimmedPrimaryVertices")

#before cross linking
jetSequence = cms.Sequence(jetCorrFactorsNano+updatedJets+tightJetId+tightJetIdLepVeto+bJetVars+qgtagger+jercVars+pileupJetId94X+pileupJetId102X+updatedJetsWithUserData+jetCorrFactorsAK8+updatedJetsAK8+tightJetIdAK8+tightJetIdLepVetoAK8+updatedJetsAK8WithUserData+chsForSATkJets+softActivityJets+softActivityJets2+softActivityJets5+softActivityJets10+finalJets+finalJetsAK8)
jetSequence = cms.Sequence(jetCorrFactorsNano+updatedJets+tightJetId+tightJetIdLepVeto+bJetVars+qgtagger+jercVars+pileupJetId94X+pileupJetId102X+pileupJetId106XUL17+updatedJetsWithUserData+jetCorrFactorsAK8+updatedJetsAK8+tightJetIdAK8+tightJetIdLepVetoAK8+updatedJetsAK8WithUserData+chsForSATkJets+softActivityJets+softActivityJets2+softActivityJets5+softActivityJets10+finalJets+finalJetsAK8)


_jetSequence_2016 = jetSequence.copy()
Expand All @@ -712,8 +719,8 @@
for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016:
modifier.toReplaceWith(jetSequence, _jetSequence_2016)

#HF shower shape recomputation
#Only run if needed (i.e. if default MINIAOD info is missing or outdated because of new JECs...)
#HF shower shape recomputation
#Only run if needed (i.e. if default MINIAOD info is missing or outdated because of new JECs...)
from RecoJets.JetProducers.hfJetShowerShape_cfi import hfJetShowerShape
hfJetShowerShapeforNanoAOD = hfJetShowerShape.clone(jets="updatedJets",vertices="offlineSlimmedPrimaryVertices")
for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016, run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2, run2_nanoAOD_102Xv1, run2_nanoAOD_106Xv1:
Expand All @@ -723,7 +730,7 @@
)
modifier.toModify(updatedJetsWithUserData.userInts,
hfcentralEtaStripSize = cms.InputTag('hfJetShowerShapeforNanoAOD:centralEtaStripSize'),
hfadjacentEtaStripsSize = cms.InputTag('hfJetShowerShapeforNanoAOD:adjacentEtaStripsSize'),
hfadjacentEtaStripsSize = cms.InputTag('hfJetShowerShapeforNanoAOD:adjacentEtaStripsSize'),
)
modifier.toModify( jetTable.variables, hfsigmaEtaEta = Var("userFloat('hfsigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10))
modifier.toModify( jetTable.variables, hfsigmaPhiPhi = Var("userFloat('hfsigmaPhiPhi')",float,doc="sigmaPhiPhi for HF jets (noise discriminating variable)",precision=10))
Expand Down
50 changes: 39 additions & 11 deletions PhysicsTools/NanoAOD/python/nano_cff.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -64,7 +64,7 @@
discNames = cms.vstring(
"pfCombinedInclusiveSecondaryVertexV2BJetTags",
"pfDeepCSVJetTags:probb+pfDeepCSVJetTags:probbb", #if multiple MiniAOD branches need to be summed up (e.g., DeepCSV b+bb), separate them using '+' delimiter
"pfCombinedMVAV2BJetTags"
"pfCombinedMVAV2BJetTags"
),
discShortNames = cms.vstring(
"CSVV2",
Expand All @@ -73,7 +73,7 @@
),
weightFiles = cms.vstring( #default settings are for 2017 94X. toModify function is called later for other eras.
btagSFdir+"CSVv2_94XSF_V2_B_F.csv",
btagSFdir+"DeepCSV_94XSF_V2_B_F.csv",
btagSFdir+"DeepCSV_94XSF_V2_B_F.csv",
"unavailable" #if SFs for an algorithm in an era is unavailable, the corresponding branch will not be stored
),
operatingPoints = cms.vstring("3","3","3"), #loose = 0, medium = 1, tight = 2, reshaping = 3
Expand All @@ -84,20 +84,20 @@
)

for modifier in run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016: # to be updated when SF for Summer16MiniAODv3 MC will be available
modifier.toModify(btagWeightTable,
modifier.toModify(btagWeightTable,
cut = cms.string("pt > 25. && abs(eta) < 2.4"), #80X corresponds to 2016, |eta| < 2.4
weightFiles = cms.vstring( #80X corresponds to 2016 SFs
btagSFdir+"CSVv2_Moriond17_B_H.csv",
"unavailable",
btagSFdir+"cMVAv2_Moriond17_B_H.csv"
btagSFdir+"CSVv2_Moriond17_B_H.csv",
"unavailable",
btagSFdir+"cMVAv2_Moriond17_B_H.csv"
)
)


lheInfoTable = cms.EDProducer("LHETablesProducer",
lheInfo = cms.VInputTag(cms.InputTag("externalLHEProducer"), cms.InputTag("source")),
precision = cms.int32(14),
storeLHEParticles = cms.bool(True)
storeLHEParticles = cms.bool(True)
)

l1bits=cms.EDProducer("L1TriggerResultsConverter", src=cms.InputTag("gtStage2Digis"), legacyL1=cms.bool(False),
Expand All @@ -106,7 +106,7 @@

nanoSequenceCommon = cms.Sequence(
nanoMetadata + jetSequence + muonSequence + tauSequence + electronSequence+photonSequence+vertexSequence+
isoTrackSequence + jetLepSequence + # must be after all the leptons
isoTrackSequence + jetLepSequence + # must be after all the leptons
linkedObjects +
jetTables + muonTables + tauTables + electronTables + photonTables + globalTables +vertexTables+ metTables+simpleCleanerTable + isoTrackTables
)
Expand Down Expand Up @@ -208,7 +208,35 @@ def nanoAOD_recalibrateMETs(process,isData):
table.variables.muonSubtrFactor = Var("1-userFloat('muonSubtrRawPt')/(pt()*jecFactor('Uncorrected'))",float,doc="1-(muon-subtracted raw pt)/(raw pt)",precision=6)
process.metTables += process.corrT1METJetTable
# makePuppiesFromMiniAOD(process,True) # call this before in the global customizer otherwise it would reset photon IDs in VID
runMetCorAndUncFromMiniAOD(process,isData=isData,metType="Puppi",postfix="Puppi",jetFlavor="AK4PFPuppi")
nanoAOD_PuppiV15_switch = cms.PSet(
recoMetFromPFCs = cms.untracked.bool(False),
reclusterJets = cms.untracked.bool(False),
)
run2_nanoAOD_106Xv1.toModify(nanoAOD_PuppiV15_switch,recoMetFromPFCs=True,reclusterJets=True)
runMetCorAndUncFromMiniAOD(process,isData=isData,metType="Puppi",postfix="Puppi",jetFlavor="AK4PFPuppi", recoMetFromPFCs=bool(nanoAOD_PuppiV15_switch.recoMetFromPFCs), reclusterJets=bool(nanoAOD_PuppiV15_switch.reclusterJets))
if nanoAOD_PuppiV15_switch.reclusterJets:
from RecoJets.JetProducers.ak4PFJets_cfi import ak4PFJets
from PhysicsTools.PatAlgos.tools.helpers import getPatAlgosToolsTask, addToProcessAndTask
task = getPatAlgosToolsTask(process)
addToProcessAndTask('ak4PuppiJets', ak4PFJets.clone (src = 'puppi', doAreaFastjet = True, jetPtMin = 2.), process, task)
from PhysicsTools.PatAlgos.tools.jetTools import addJetCollection
addJetCollection(process,
labelName = 'Puppi',
jetSource = cms.InputTag('ak4PuppiJets'),
algo = 'AK', rParam=0.4,
genJetCollection=cms.InputTag('slimmedGenJets'),
jetCorrections = ('AK4PFPuppi', ['L1FastJet', 'L2Relative', 'L3Absolute','L2L3Residual'], 'None'),
pfCandidates = cms.InputTag('packedPFCandidates'),
pvSource = cms.InputTag('offlineSlimmedPrimaryVertices'),
svSource = cms.InputTag('slimmedSecondaryVertices'),
muSource =cms.InputTag( 'slimmedMuons'),
elSource = cms.InputTag('slimmedElectrons'),
genParticles= cms.InputTag('prunedGenParticles'),
getJetMCFlavour=False
)

process.patJetsPuppi.addGenPartonMatch = cms.bool(False)
process.patJetsPuppi.addGenJetMatch = cms.bool(False)
process.nanoSequenceCommon.insert(process.nanoSequenceCommon.index(process.jetSequence),cms.Sequence(process.puppiMETSequence+process.fullPatMetSequencePuppi))
return process

Expand Down Expand Up @@ -284,7 +312,7 @@ def nanoAOD_runMETfixEE2017(process,isData):
process.nanoSequenceCommon.insert(process.nanoSequenceCommon.index(jetSequence),process.fullPatMetSequenceFixEE2017)

def nanoAOD_customizeCommon(process):
makePuppiesFromMiniAOD(process,True)
makePuppiesFromMiniAOD(process,True)
process.puppiNoLep.useExistingWeights = True
process.puppi.useExistingWeights = True
run2_nanoAOD_106Xv1.toModify(process.puppiNoLep, useExistingWeights = False)
Expand Down Expand Up @@ -352,7 +380,7 @@ def nanoAOD_customizeMC(process):

### Era dependent customization
_80x_sequence = nanoSequenceCommon.copy()
#remove stuff
#remove stuff
_80x_sequence.remove(isoTrackTables)
_80x_sequence.remove(isoTrackSequence)
#add stuff
Expand Down
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