# a conversion is needed if objects are not available
# add them upfront of the sequence
ak5PFJetsPtrs = cms.EDProducer("PFJetFwdPtrProducer",
src = cms.InputTag("ak5PFJets")
)
# this one is needed only if the input file doesn't have it
# solved automatically with unscheduled execution
from RecoParticleFlow.PFProducer.pfLinker_cff import particleFlowPtrs
# particleFlowPtrs = cms.EDProducer("PFCandidateFwdPtrProducer",
# src = cms.InputTag("particleFlow")
# )
# FIXME: THIS IS A WASTE, BUT NOT CLEAR HOW TO FIX IT CLEANLY: the module
# downstream operates with View<reco::Candidate>, I wish one could read
# it from std::vector<PFCandidateFwdPtr> directly
pfCandsNotInJetPtrs = pfNoJet.clone(
topCollection = cms.InputTag('ak5PFJetsPtrs'),
bottomCollection = cms.InputTag('particleFlowPtrs')
)
pfCandsNotInJet = cms.EDProducer("PFCandidateFromFwdPtrProducer",
src = cms.InputTag("pfCandsNotInJetPtrs")
)
##____________________________________________________________________________||
pfJetMETcorr = cms.EDProducer("PFJetMETcorrInputProducer",
src = cms.InputTag('ak5PFJets'),
offsetCorrLabel = cms.string("ak5PFL1Fastjet"),
jetCorrLabel = cms.string("ak5PFL1FastL2L3"), # NOTE: use "ak5PFL1FastL2L3" for MC / "ak5PFL1FastL2L3Residual" for Data
jetCorrEtaMax = cms.double(9.9),
type1JetPtThreshold = cms.double(10.0),
type2ResidualCorrLabel = cms.string(""),
type2ResidualCorrEtaMax = cms.double(9.9),
type2ResidualCorrOffset = cms.double(0.),
# select ak5PFJets corresponding to selected pat::Jets
ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20ForNeuralMtautau = cms.EDFilter(
"PFJetAntiOverlapSelector",
src=cms.InputTag('ak5PFJets'),
srcNotToBeFiltered=cms.VInputTag('selectedPatJetsPt20ForNeuralMtautau'),
dRmin=cms.double(1.e-1),
invert=cms.bool(True),
filter=cms.bool(False))
neuralMtautauSequence += ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20ForNeuralMtautau
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# select PFCandidates ("unclustered energy") not within jets
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
pfCandsNotInSelectedJetsForNeuralMtautau = pfNoJet.clone(
topCollection=cms.InputTag(
'ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20ForNeuralMtautau'),
bottomCollection=cms.InputTag('particleFlow'))
neuralMtautauSequence += pfCandsNotInSelectedJetsForNeuralMtautau
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# produce genMET
from RecoMET.Configuration.GenMETParticles_cff import *
genParticlesForMETAllVisibleForNeuralMtautau = genParticlesForMETAllVisible.clone(
)
neuralMtautauSequence += genParticlesForMETAllVisibleForNeuralMtautau
from RecoMET.METProducers.genMetTrue_cfi import *
genMetFromGenParticlesForNeuralMtautau = genMetTrue.clone(
src=cms.InputTag('genParticlesForMETAllVisibleForNeuralMtautau'),
alias=cms.string('genMetFromGenParticles'))
# OK, now convert these back to PFJets, so we can figure out which PFCandidates
# aren't part of any jets
metSigGetPFJets = cms.EDFilter(
"PFJetViewOverlapSubtraction",
src=cms.InputTag("ak5PFJets"),
subtractSrc=cms.InputTag("metSigJetsClean"),
minDeltaR=cms.double(0.4),
filter=cms.bool(False),
invert=cms.bool(True), # select AK5 PF jets that DO overlap
noSeqChain=cms.bool(True), # Don't "chain" these sequence and update [src]
)
metSignficanceSequence += metSigGetPFJets
# Get the PFCandidates that aren't in these jets
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
pfCandsNotInSelectedJets = pfNoJet.clone(
topCollection=cms.InputTag('metSigGetPFJets'),
bottomCollection=cms.InputTag('particleFlow'))
metSignficanceSequence += pfCandsNotInSelectedJets
# produce PFMET significance cov. matrix
from RecoMET.METProducers.METSigParams_cfi import METSignificance_params
pfMEtSignCovMatrix = cms.EDProducer(
"PFMETSignificanceProducer",
METSignificance_params,
noSeqChain=cms.bool(True), # Don't "chain" these sequence and update [src]
src=cms.VInputTag('metSigDecentMuons', 'metSigDecentElectrons',
'metSigDecentTaus', 'metSigGetPFJets',
'pfCandsNotInSelectedJets'))
metSignficanceSequence += pfMEtSignCovMatrix
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
# the new TopProjectors now work with Ptrs
# a conversion is needed if objects are not available
# add them upfront of the sequence
pfJetsPtrForMetCorr = cms.EDProducer("PFJetFwdPtrProducer",
src=cms.InputTag("ak4PFJets"))
# this one is needed only if the input file doesn't have it
#from RecoParticleFlow.PFProducer.pfLinker_cff import particleFlowPtrs
# particleFlowPtrs = cms.EDProducer("PFCandidateFwdPtrProducer",
# src = cms.InputTag("particleFlow")
# )
# FIXME: THIS IS A WASTE, BUT NOT CLEAR HOW TO FIX IT CLEANLY: the module
# downstream operates with View<reco::Candidate>, I wish one could read
# it from std::vector<PFCandidateFwdPtr> directly
pfCandsNotInJetsPtrForMetCorr = pfNoJet.clone(
topCollection=cms.InputTag('pfJetsPtrForMetCorr'),
bottomCollection=cms.InputTag('particleFlowPtrs'))
pfCandsNotInJetsForMetCorr = cms.EDProducer(
"PFCandidateFromFwdPtrProducer",
src=cms.InputTag("pfCandsNotInJetsPtrForMetCorr"))
##____________________________________________________________________________||
corrPfMetType1 = cms.EDProducer(
"PFJetMETcorrInputProducer",
src=cms.InputTag('ak4PFJetsCHS'),
offsetCorrLabel=cms.InputTag("ak4PFCHSL1FastjetCorrector"),
jetCorrLabel=cms.InputTag("ak4PFCHSL1FastL2L3Corrector"), #for MC
jetCorrLabelRes=cms.InputTag(
"ak4PFCHSL1FastL2L3ResidualCorrector"), # for data, automatic switch
jetCorrEtaMax=cms.double(9.9),
type1JetPtThreshold=cms.double(15.0),
# aren't part of any jets
metSigGetPFJets = cms.EDFilter(
"PFJetViewOverlapSubtraction",
src = cms.InputTag("ak5PFJets"),
subtractSrc = cms.InputTag("metSigJetsClean"),
minDeltaR = cms.double(0.4),
filter = cms.bool(False),
invert = cms.bool(True), # select AK5 PF jets that DO overlap
noSeqChain = cms.bool(True), # Don't "chain" these sequence and update [src]
)
metSignficanceSequence += metSigGetPFJets
# Get the PFCandidates that aren't in these jets
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
pfCandsNotInSelectedJets = pfNoJet.clone(
topCollection = cms.InputTag('metSigGetPFJets'),
bottomCollection = cms.InputTag('particleFlow')
)
metSignficanceSequence += pfCandsNotInSelectedJets
# produce PFMET significance cov. matrix
from RecoMET.METProducers.METSigParams_cfi import METSignificance_params
pfMEtSignCovMatrix = cms.EDProducer(
"PFMETSignificanceProducer",
METSignificance_params,
noSeqChain = cms.bool(True), # Don't "chain" these sequence and update [src]
src = cms.VInputTag(
'metSigDecentMuons',
'metSigDecentElectrons',
'metSigDecentTaus',
'metSigGetPFJets',
'pfCandsNotInSelectedJets'
import FWCore.ParameterSet.Config as cms
# load jet energy correction parameters
from JetMETCorrections.Configuration.JetCorrectionServices_cff import *
# load config file for producing collection of ak5PFJets
# using pfNoPileUp collection of PFCandidates as input
from JetMETCorrections.Type1MET.ak5PFchsJets_cff import ak5PFchsJetsSequence
#--------------------------------------------------------------------------------
# select PFCandidates ("unclustered energy") not within jets
# for Type 2 MET correction
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
pfchsCandsNotInJet = pfNoJet.clone(
topCollection=cms.InputTag('ak5PFchsJets'),
bottomCollection=cms.InputTag('particleFlow'))
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# produce Type 1 + 2 MET corrections for PFJets
pfchsJetMETcorr = cms.EDProducer(
"PFJetMETcorrInputProducer",
src=cms.InputTag('ak5PFchsJets'),
offsetCorrLabel=cms.string("ak5PFchsL1Fastjet"),
jetCorrLabel=cms.string(
"ak5PFchsL1FastL2L3"
), # NOTE: use "ak5PFL1FastL2L3" for MC / "ak5PFL1FastL2L3Residual" for Data
jetCorrEtaMax=cms.double(9.9),
type1JetPtThreshold=cms.double(10.0),
skipEM=cms.bool(True),
skipEMfractionThreshold=cms.double(0.90),
# the new TopProjectors now work with Ptrs
# a conversion is needed if objects are not available
# add them upfront of the sequence
ak4PFJetsPtrs = cms.EDProducer("PFJetFwdPtrProducer",
src=cms.InputTag("ak4PFJets"))
# this one is needed only if the input file doesn't have it
# solved automatically with unscheduled execution
from RecoParticleFlow.PFProducer.pfLinker_cff import particleFlowPtrs
# particleFlowPtrs = cms.EDProducer("PFCandidateFwdPtrProducer",
# src = cms.InputTag("particleFlow")
# )
# FIXME: THIS IS A WASTE, BUT NOT CLEAR HOW TO FIX IT CLEANLY: the module
# downstream operates with View<reco::Candidate>, I wish one could read
# it from std::vector<PFCandidateFwdPtr> directly
pfCandsNotInJetPtrs = pfNoJet.clone(
topCollection=cms.InputTag('ak4PFJetsPtrs'),
bottomCollection=cms.InputTag('particleFlowPtrs'))
pfCandsNotInJet = cms.EDProducer("PFCandidateFromFwdPtrProducer",
src=cms.InputTag("pfCandsNotInJetPtrs"))
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# produce Type 1 + 2 MET corrections for PFJets
pfJetMETcorr = cms.EDProducer(
"PFJetMETcorrInputProducer",
src=cms.InputTag('ak4PFJets'),
offsetCorrLabel=cms.string("ak4PFL1Fastjet"),
jetCorrLabel=cms.string(
"ak4PFL1FastL2L3"
), # NOTE: use "ak4PFL1FastL2L3" for MC / "ak4PFL1FastL2L3Residual" for Data
# a conversion is needed if objects are not available
# add them upfront of the sequence
pfJetsPtrForMetCorr = cms.EDProducer("PFJetFwdPtrProducer",
src = cms.InputTag("ak4PFJets")
)
# this one is needed only if the input file doesn't have it
# solved automatically with unscheduled execution
from RecoParticleFlow.PFProducer.pfLinker_cff import particleFlowPtrs
# particleFlowPtrs = cms.EDProducer("PFCandidateFwdPtrProducer",
# src = cms.InputTag("particleFlow")
# )
# FIXME: THIS IS A WASTE, BUT NOT CLEAR HOW TO FIX IT CLEANLY: the module
# downstream operates with View<reco::Candidate>, I wish one could read
# it from std::vector<PFCandidateFwdPtr> directly
pfCandsNotInJetsPtrForMetCorr = pfNoJet.clone(
topCollection = cms.InputTag('pfJetsPtrForMetCorr'),
bottomCollection = cms.InputTag('particleFlowPtrs')
)
pfCandsNotInJetsForMetCorr = cms.EDProducer("PFCandidateFromFwdPtrProducer",
src = cms.InputTag("pfCandsNotInJetsPtrForMetCorr")
)
##____________________________________________________________________________||
corrPfMetType1 = cms.EDProducer(
"PFJetMETcorrInputProducer",
src = cms.InputTag('ak4PFJetsCHS'),
offsetCorrLabel = cms.InputTag("ak4PFCHSL1FastjetCorrector"),
jetCorrLabel = cms.InputTag("ak4PFCHSL1FastL2L3Corrector"), #for MC
jetCorrLabelRes = cms.InputTag("ak4PFCHSL1FastL2L3ResidualCorrector"), # for data, automatic switch
jetCorrEtaMax = cms.double(9.9),
type1JetPtThreshold = cms.double(10.0),
skipEM = cms.bool(True),
# select ak5PFJets corresponding to selected pat::Jets
ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20ForNeuralMtautau = cms.EDFilter("PFJetAntiOverlapSelector",
src = cms.InputTag('ak5PFJets'),
srcNotToBeFiltered = cms.VInputTag('selectedPatJetsPt20ForNeuralMtautau'),
dRmin = cms.double(1.e-1),
invert = cms.bool(True),
filter = cms.bool(False)
)
neuralMtautauSequence += ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20ForNeuralMtautau
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# select PFCandidates ("unclustered energy") not within jets
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
pfCandsNotInSelectedJetsForNeuralMtautau = pfNoJet.clone(
topCollection = cms.InputTag('ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20ForNeuralMtautau'),
bottomCollection = cms.InputTag('particleFlow')
)
neuralMtautauSequence += pfCandsNotInSelectedJetsForNeuralMtautau
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# produce genMET
from RecoMET.Configuration.GenMETParticles_cff import *
genParticlesForMETAllVisibleForNeuralMtautau = genParticlesForMETAllVisible.clone()
neuralMtautauSequence += genParticlesForMETAllVisibleForNeuralMtautau
from RecoMET.METProducers.genMetTrue_cfi import *
genMetFromGenParticlesForNeuralMtautau = genMetTrue.clone(
src = cms.InputTag('genParticlesForMETAllVisibleForNeuralMtautau'),
alias = cms.string('genMetFromGenParticles')
)
# Rho_EtaMax = cms.double(2.5)
# )
#
## CV: need to rerun 'ak5PFJets' module with jet area computation enabled,
## since it has not been enabled per default in CMSSW_4_2_x
## (if the jet area of 'ak5PFJets' is zero, the L1FastjetCorrector::correction function always returns 1.0)
# from RecoJets.JetProducers.ak5PFJets_cfi import ak5PFJets
# ak5PFJets.doAreaFastjet = cms.bool(True)
##--------------------------------------------------------------------------------
# --------------------------------------------------------------------------------
# select PFCandidates for Type 2 MET correction:
# (1) select PFCandidates ("unclustered energy") not within jets
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
pfCandsNotInJet = pfNoJet.clone(topCollection=cms.InputTag("ak5PFJets"), bottomCollection=cms.InputTag("particleFlow"))
# (2) select subset of PFCandidates corresponding to neutral hadrons or photons
from CommonTools.ParticleFlow.ParticleSelectors.pfAllChargedHadrons_cfi import pfAllChargedHadrons
from CommonTools.ParticleFlow.ParticleSelectors.pfAllElectrons_cfi import pfAllElectrons
from CommonTools.ParticleFlow.ParticleSelectors.pfAllMuons_cfi import pfAllMuons
from CommonTools.ParticleFlow.ParticleSelectors.pfAllNeutralHadrons_cfi import pfAllNeutralHadrons
from CommonTools.ParticleFlow.ParticleSelectors.pfAllPhotons_cfi import pfAllPhotons
pfType2CandPdgIds = []
# pfType2CandPdgIds.extend(pfAllChargedHadrons.pdgId.value())
# pfType2CandPdgIds.extend(pfAllElectrons.pdgId.value())
# pfType2CandPdgIds.extend(pfAllMuons.pdgId.value())
pfType2CandPdgIds.extend(pfAllNeutralHadrons.pdgId.value())
pfType2CandPdgIds.extend(pfAllPhotons.pdgId.value())
pfType2Cands = cms.EDFilter(
import FWCore.ParameterSet.Config as cms
# load jet energy correction parameters
from JetMETCorrections.Configuration.JetCorrectionServices_cff import *
# load config file for producing collection of ak5PFJets
# using pfNoPileUp collection of PFCandidates as input
from JetMETCorrections.Type1MET.ak5PFchsJets_cff import ak5PFchsJetsSequence
#--------------------------------------------------------------------------------
# select PFCandidates ("unclustered energy") not within jets
# for Type 2 MET correction
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
pfchsCandsNotInJet = pfNoJet.clone(
topCollection = cms.InputTag('ak5PFchsJets'),
bottomCollection = cms.InputTag('particleFlow')
)
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# produce Type 1 + 2 MET corrections for PFJets
pfchsJetMETcorr = cms.EDProducer("PFJetMETcorrInputProducer",
src = cms.InputTag('ak5PFchsJets'),
offsetCorrLabel = cms.string("ak5PFchsL1Fastjet"),
jetCorrLabel = cms.string("ak5PFchsL1FastL2L3"), # NOTE: use "ak5PFL1FastL2L3" for MC / "ak5PFL1FastL2L3Residual" for Data
jetCorrEtaMax = cms.double(9.9),
type1JetPtThreshold = cms.double(10.0),
skipEM = cms.bool(True),
skipEMfractionThreshold = cms.double(0.90),
skipMuons = cms.bool(True),
skipMuonSelection = cms.string("isGlobalMuon | isStandAloneMuon")
# select ak5PFJets corresponding to selected pat::Jets
process.ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20 = cms.EDFilter("PFJetAntiOverlapSelector",
src = cms.InputTag('ak5PFJets'),
srcNotToBeFiltered = cms.VInputTag('selectedPatJetsPt20'),
dRmin = cms.double(1.e-1),
invert = cms.bool(True),
filter = cms.bool(False)
)
process.svFitPerformanceAnalysisSequence += process.ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# select PFCandidates ("unclustered energy") not within jets
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
process.pfCandsNotInSelectedJets = pfNoJet.clone(
topCollection = cms.InputTag('ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20'),
bottomCollection = cms.InputTag('particleFlow')
)
process.svFitPerformanceAnalysisSequence += process.pfCandsNotInSelectedJets
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# produce PFMET significance cov. matrix
from RecoMET.METProducers.METSigParams_cfi import *
process.pfMEtSignCovMatrix = cms.EDProducer("PFMEtSignCovMatrixProducer",
METSignificance_params,
src = cms.VInputTag(
'genMatchedElectrons',
'genMatchedMuons',
'genMatchedTauJets',
'ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20',
'pfCandsNotInSelectedJets'
# select ak5PFJets corresponding to selected pat::Jets
process.ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20 = cms.EDFilter(
"PFJetAntiOverlapSelector",
src=cms.InputTag('ak5PFJets'),
srcNotToBeFiltered=cms.VInputTag('selectedPatJetsPt20'),
dRmin=cms.double(1.e-1),
invert=cms.bool(True),
filter=cms.bool(False))
process.svFitPerformanceAnalysisSequence += process.ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# select PFCandidates ("unclustered energy") not within jets
from CommonTools.ParticleFlow.TopProjectors.pfNoJet_cfi import pfNoJet
process.pfCandsNotInSelectedJets = pfNoJet.clone(
topCollection=cms.InputTag('ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20'),
bottomCollection=cms.InputTag('particleFlow'))
process.svFitPerformanceAnalysisSequence += process.pfCandsNotInSelectedJets
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
# produce PFMET significance cov. matrix
from RecoMET.METProducers.METSigParams_cfi import *
process.pfMEtSignCovMatrix = cms.EDProducer(
"PFMEtSignCovMatrixProducer",
METSignificance_params,
src=cms.VInputTag('genMatchedElectrons', 'genMatchedMuons',
'genMatchedTauJets',
'ak5PFJetsNotOverlappingWithLeptonsCorrPtGt20',
'pfCandsNotInSelectedJets'),
addJERcorr=cms.PSet(inputFileName=cms.FileInPath(
