示例#1
0
def buildSequence(process, patArgs):
    sequence = cms.Sequence()

    # Produce HPS taus from AK5 PF jets already in AOD
    process.load("RecoTauTag.Configuration.RecoPFTauTag_cff")
    sequence *= process.PFTau
    # Produce pat taus, assuming patDefaultSequence is already included to the process
    if not hasattr(process, "patTausHpsPFTau"):
        tauTools.addTauCollection(process,
                                  cms.InputTag('hpsPFTauProducer'),
                                  algoLabel="hps",
                                  typeLabel="PFTau")

    process.patTausHpsPFTauForPV = process.patTausHpsPFTau.clone(
        addGenJetMatch=False,
        embedGenJetMatch=False,
        addGenMatch=False,
        embedGenMatch=False,
        userIsolation=cms.PSet(),
        isoDeposits=cms.PSet(),
    )
    process.patTausHpsPFTauForPV.tauIDSources.byRawCombinedIsolationDeltaBetaCorr = cms.InputTag(
        "hpsPFTauDiscriminationByRawCombinedIsolationDBSumPtCorr")

    sequence *= process.patTausHpsPFTauForPV

    # Trigger matching
    sequence *= HChTriggerMatching.addTauHLTMatching(
        process,
        patArgs["matchingTauTrigger"],
        collections=["patTausHpsPFTauForPV"],
        postfix="ForPV")

    # Require decay mode finding
    process.selectedPatTausHpsPFTauForPV = cms.EDFilter(
        "PATTauSelector",
        src=cms.InputTag("patTausHpsPFTauForPVTriggerMatchedForPV"),
        cut=cms.string("tauID('decayModeFinding')"))
    sequence *= process.selectedPatTausHpsPFTauForPV

    # Obtain the index of the vertex of most isolated tau
    process.selectedPrimaryVertexIndex = cms.EDProducer(
        "HPlusVertexIndexTauMostIsolatedProducer",
        vertexSrc=cms.InputTag("offlinePrimaryVertices"),
        tauSrc=cms.InputTag("selectedPatTausHpsPFTauForPV"),
        tauDiscriminator=cms.string("byRawCombinedIsolationDeltaBetaCorr"),
        dz=cms.double(0.2),
    )
    sequence *= process.selectedPrimaryVertexIndex

    return sequence
def buildSequence(process, patArgs):
    sequence = cms.Sequence()

    # Produce HPS taus from AK5 PF jets already in AOD
    process.load("RecoTauTag.Configuration.RecoPFTauTag_cff")
    sequence *= process.PFTau
    # Produce pat taus, assuming patDefaultSequence is already included to the process
    if not hasattr(process, "patTausHpsPFTau"):
        tauTools.addTauCollection(process, cms.InputTag('hpsPFTauProducer'),
                                  algoLabel = "hps",
                                  typeLabel = "PFTau")

    process.patTausHpsPFTauForPV = process.patTausHpsPFTau.clone(
        addGenJetMatch = False,
        embedGenJetMatch = False,
        addGenMatch = False,
        embedGenMatch = False,
        userIsolation = cms.PSet(),
        isoDeposits = cms.PSet(),
    )
    process.patTausHpsPFTauForPV.tauIDSources.byRawCombinedIsolationDeltaBetaCorr = cms.InputTag("hpsPFTauDiscriminationByRawCombinedIsolationDBSumPtCorr")

    sequence *= process.patTausHpsPFTauForPV

    # Trigger matching
    sequence *= HChTriggerMatching.addTauHLTMatching(process, patArgs["matchingTauTrigger"], collections=["patTausHpsPFTauForPV"], postfix="ForPV")

    # Require decay mode finding
    process.selectedPatTausHpsPFTauForPV = cms.EDFilter("PATTauSelector",
        src = cms.InputTag("patTausHpsPFTauForPVTriggerMatchedForPV"),
        cut = cms.string("tauID('decayModeFinding')")
    )
    sequence *= process.selectedPatTausHpsPFTauForPV

    # Obtain the index of the vertex of most isolated tau
    process.selectedPrimaryVertexIndex = cms.EDProducer("HPlusVertexIndexTauMostIsolatedProducer",
        vertexSrc = cms.InputTag("offlinePrimaryVertices"),
        tauSrc = cms.InputTag("selectedPatTausHpsPFTauForPV"),
        tauDiscriminator = cms.string("byRawCombinedIsolationDeltaBetaCorr"),
        dz = cms.double(0.2),
    )
    sequence *= process.selectedPrimaryVertexIndex

    return sequence
示例#3
0
def addPF2PAT(process, dataVersion, postfix="PFlow",
              doTauHLTMatching=True, matchingTauTrigger=None, 
              ):
#    if hasattr(process, "patDefaultSequence"):
#        raise Exception("PAT should not exist before calling addPF2PAT at the moment")

    # Hack to not to crash if something in PAT assumes process.out
    hasOut = hasattr(process, "out")
    outputCommands = []
    outputCommandsBackup = []
    if hasOut:
        outputCommandsBackup = process.out.outputCommands[:]
    else:
        process.out = cms.OutputModule("PoolOutputModule",
            fileName = cms.untracked.string('dummy.root'),
            outputCommands = cms.untracked.vstring()
        )

    outputCommands = []

    # Jet modifications
    # PhysicsTools/PatExamples/test/patTuple_42x_jec_cfg.py
    jetCorrFactors = patJetCorrLevels(dataVersion, True)
    jetCorrPayload = "AK5PFchs"

    process.load("PhysicsTools.PatAlgos.patSequences_cff")
    pfTools.usePF2PAT(process, runPF2PAT=True, jetAlgo="AK5", jetCorrections=(jetCorrPayload, jetCorrFactors),
                      runOnMC=dataVersion.isMC(), postfix=postfix)

    outputCommands = [
#        "keep *_selectedPatPhotons%s_*_*" % postfix,
#        'keep *_selectedPatElectrons%s_*_*' % postfix, 
        'keep *_selectedPatMuons%s_*_*' % postfix,
        'keep *_selectedPatJets%s*_*_*' % postfix,
        'keep *_selectedPatTaus%s_*_*' % postfix,
        'keep *_selectedPatPFParticles%s_*_*' % postfix,
        'keep *_selectedPatJets%s_pfCandidates_*' % postfix,
        'drop *_*PF_caloTowers_*',
        'drop *_*JPT_pfCandidates_*',
        'drop *_*Calo_pfCandidates_*',
        'keep *_patMETs%s_*_*' % postfix,
        ]

    # Enable PFnoPU
    getattr(process, "pfPileUp"+postfix).Enable = True
    getattr(process, "pfPileUp"+postfix).checkClosestZVertex = False
    getattr(process, "pfPileUp"+postfix).Vertices = "offlinePrimaryVertices"

    # Jet modifications
    # L1FastJet
    # https://twiki.cern.ch/twiki/bin/view/CMSPublic/WorkBookJetEnergyCorrections#OffsetJEC
    # https://twiki.cern.ch/twiki/bin/view/CMSPublic/WorkBookJetEnergyCorrections#JetEnCor2011
    # https://hypernews.cern.ch/HyperNews/CMS/get/jes/184.html
    kt6name = "kt6PFJets"+postfix
    process.load('RecoJets.Configuration.RecoPFJets_cff')
    from RecoJets.JetProducers.kt4PFJets_cfi import kt4PFJets
    setattr(process, kt6name, kt4PFJets.clone(
        rParam = 0.6,
        src = 'pfNoElectron'+postfix,
        doRhoFastjet = True,
        doAreaFastJet = cms.bool(True),
    ))
    getattr(process, "patPF2PATSequence"+postfix).replace(
        getattr(process, "pfNoElectron"+postfix),
        getattr(process, "pfNoElectron"+postfix) * getattr(process, kt6name))
    getattr(process, "patJetCorrFactors"+postfix).rho = cms.InputTag(kt6name, "rho")
    getattr(process, "patJetCorrFactors"+postfix).useRho = True

    # ak5PFJets
    getattr(process, "pfJets"+postfix).doAreaFastjet = cms.bool(True)
    getattr(process, "pfJets"+postfix).doRhoFastjet = False
#    getattr(process, "pfJets"+postfix).Vertices = cms.InputTag("goodPrimaryVertices")

    setPatJetDefaults(getattr(process, "patJets"+postfix))


    # Use HPS taus
    # Add and recalculate the discriminators
    addHChTauDiscriminators()
    if not hasattr(process, "hpsPFTauDiscriminationForChargedHiggsByLeadingTrackPtCut"):
        import RecoTauTag.RecoTau.PFRecoTauDiscriminationForChargedHiggs_cfi as HChPFTauDiscriminators
        import RecoTauTag.RecoTau.CaloRecoTauDiscriminationForChargedHiggs_cfi as HChCaloTauDiscriminators

        tauAlgos = ["hpsPFTau"]
#        tauAlgos = ["pfTaus"+postfix]
        HChPFTauDiscriminators.addPFTauDiscriminationSequenceForChargedHiggs(process, tauAlgos)
        HChPFTauDiscriminatorsCont.addPFTauDiscriminationSequenceForChargedHiggsCont(process, tauAlgos)
        PFTauTestDiscrimination.addPFTauTestDiscriminationSequence(process, tauAlgos)

        fixFlightPath(process, tauAlgos[0])
        fixFlightPath(process, tauAlgos[0], "Cont")
    
    patHelpers.cloneProcessingSnippet(process, process.hpsPFTauHplusDiscriminationSequence, postfix)
    patHelpers.cloneProcessingSnippet(process, process.hpsPFTauHplusDiscriminationSequenceCont, postfix)
    patHelpers.cloneProcessingSnippet(process, process.hpsPFTauHplusTestDiscriminationSequence, postfix)

    patTauSeq = cms.Sequence(
        getattr(process, "hpsPFTauHplusDiscriminationSequence"+postfix) *
        getattr(process, "hpsPFTauHplusDiscriminationSequenceCont"+postfix) * 
        getattr(process, "hpsPFTauHplusTestDiscriminationSequence"+postfix)
#        getattr(process, "pfTaus"+postfix+"HplusDiscriminationSequence") *
#        getattr(process, "pfTaus"+postfix+"HplusDiscriminationSequenceCont") * 
#        getattr(process, "pfTaus"+postfix+"HplusTestDiscriminationSequence")
    )
    setattr(process, "hplusPatTauSequence"+postfix, patTauSeq)
    patHelpers.massSearchReplaceParam(patTauSeq, "PFTauProducer", cms.InputTag("hpsPFTauProducer"), cms.InputTag("pfTaus"+postfix))
    patHelpers.massSearchReplaceAnyInputTag(patTauSeq, cms.InputTag("hpsPFTauDiscriminationByDecayModeFinding"), cms.InputTag("hpsPFTauDiscriminationByDecayModeFinding"+postfix))

    pfTools.adaptPFTaus(process, "hpsPFTau", postfix=postfix)

    setPatTauDefaults(getattr(process, "patTaus"+postfix), False)
    addPatTauIsolationEmbedding(process, getattr(process, "patDefaultSequence"+postfix), postfix)
    getattr(process, "selectedPatTaus"+postfix).cut = tauPreSelection

    # The prediscriminant of pfTausBaseDiscriminationByLooseIsolation
    # is missing from the default sequence, but since we don't want to
    # apply any tau selections as a part of PF2PAT anyway, let's just
    # remove this too
    getattr(process, "pfTaus"+postfix).discriminators = cms.VPSet()
#    getattr(process, "pfTauSequence"+postfix).remove(getattr(process, "pfTaus"+postfix))
#    delattr(process, "pfTaus"+postfix)
#    getattr(process, "pfTausBaseSequence"+postfix).remove(getattr(process, "pfTausBaseDiscriminationByLooseIsolation"+postfix))
    

    # Remove the shrinking cone altogether, we don't care about it
#    getattr(process, "patDefaultSequence"+postfix).remove(getattr(process, "patShrinkingConePFTauDiscrimination"+postfix))

    # Override the tau source (this is WRONG in the standard PF2PAT, the expers should know it already)
#    getattr(process, "patTaus"+postfix).tauSource = "hpsPFTauProducer"+postfix
#    patHelpers.massSearchReplaceAnyInputTag(getattr(process, "patHPSPFTauDiscrimination"+postfix),
#                                            cms.InputTag("pfTaus"+postfix),
#                                            cms.InputTag("hpsPFTauProducer"+postfix))
#    getattr(process, "pfNoTau"+postfix).topCollection = cms.InputTag("hpsPFTauProducer"+postfix)

    # Disable iso deposits, they take a LOT of space
    getattr(process, "patTaus"+postfix).isoDeposits = cms.PSet()

    # Disable tau top projection, the taus are identified and removed
    # from jets as a part of the analysis
    getattr(process, "pfNoTau"+postfix).enable = False



    # Lepton modifications
    setPatLeptonDefaults(getattr(process, "patMuons"+postfix), False)
    #setPatLeptonDefaults(getattr(process, "patElectrons"+postfix), False)
    #addPatElectronID(process, getattr(process, "patElectrons"+postfix), getattr(process, "makePatElectrons"+postfix))

    # PATElectronProducer segfaults, and we don't really need them now
    getattr(process, "patDefaultSequence"+postfix).remove(getattr(process, "makePatElectrons"+postfix))
    getattr(process, "patDefaultSequence"+postfix).remove(getattr(process, "selectedPatElectrons"+postfix))
    getattr(process, "patDefaultSequence"+postfix).remove(getattr(process, "countPatElectrons"+postfix))
    getattr(process, "patDefaultSequence"+postfix).remove(getattr(process, "countPatLeptons"+postfix))

    # Disable muon and electron top projections, needs wider
    # discussion about lepton definitions
    getattr(process, "pfNoMuon"+postfix).enable = False
    getattr(process, "pfNoElectron"+postfix).enable = False

    # Remove photon MC matcher in order to avoid keeping photons in the event content
    #process.patDefaultSequencePFlow.remove(process.photonMatchPFlow)

    if hasOut:
        process.out.outputCommands = outputCommandsBackup
        process.out.outputCommands.extend(outputCommands)
    else:
        del process.out

    getattr(process, "patDefaultSequence"+postfix).replace(
        getattr(process, "patTaus"+postfix),
        patTauSeq *
        getattr(process, "patTaus"+postfix)
    )

    sequence = cms.Sequence(
        getattr(process, "patPF2PATSequence"+postfix)
    )

    if doTauHLTMatching:
        sequence *= HChTriggerMatching.addTauHLTMatching(process, matchingTauTrigger, collections=["selectedPatTaus"+postfix], postfix=postfix)

    return sequence
示例#4
0
def addPlainPat(process, dataVersion, doPatTrigger=True, doPatTaus=True, doHChTauDiscriminators=True, doPatMET=True, doPatElectronID=True,
                doPatCalo=True, doBTagging=True, doPatMuonPFIsolation=False, doPatTauIsoDeposits=False,
                doTauHLTMatching=True, matchingTauTrigger=None, matchingJetTrigger=None,
                includePFCands=False):
    out = None
    outdict = process.outputModules_()
    if outdict.has_key("out"):
        out = outdict["out"]

    outputCommands = []

    # Tau Discriminators
    process.hplusPatTauSequence = cms.Sequence()
    if doPatTaus:
        process.hplusPatTauSequence = addPFTausAndDiscriminators(process, dataVersion, doPatCalo, doHChTauDiscriminators)

    # PAT Layer 0+1
    process.load("PhysicsTools.PatAlgos.patSequences_cff")

    sequence = cms.Sequence(
        process.hplusPatTauSequence
    )

    # Restrict input to AOD
    restrictInputToAOD(process, ["All"])

    # Remove MC stuff if we have collision data (has to be done any add*Collection!)
    # This also adds the L2L3Residual JEC correction to the process.patJetCorrFactors
    if dataVersion.isData():
        runOnData(process, outputInProcess = out!=None)

    # Jets
    # Produce kt6 rho for L1Fastjet
    process.load('RecoJets.Configuration.RecoPFJets_cff')
    process.kt6PFJets.doRhoFastjet = True
    process.ak5PFJets.doAreaFastjet = True
    process.ak5PFJetSequence = cms.Sequence(process.kt6PFJets * process.ak5PFJets)
   
    # Set defaults
    process.patJets.jetSource = cms.InputTag("ak5CaloJets")
    process.patJets.trackAssociationSource = cms.InputTag("ak5JetTracksAssociatorAtVertex")
    setPatJetDefaults(process.patJets)
    setPatJetCorrDefaults(process.patJetCorrFactors, dataVersion)
    process.patDefaultSequence.replace(process.patJetCorrFactors,
                                       process.ak5PFJetSequence*process.patJetCorrFactors)
    process.selectedPatJets.cut = jetPreSelection

    # The default JEC to be embedded to pat::Jets are L2Relative,
    # L3Absolute, L5Flavor and L7Parton. The default JEC to be applied
    # is L2L3Residual, or L3Absolute, or Uncorrected (in this order).

    if doPatCalo:
        # Add JPT jets
        # FIXME: Disabled for now until the JEC for JPT works again (with the latest JEC)
#        addJetCollection(process, cms.InputTag('JetPlusTrackZSPCorJetAntiKt5'),
#                         'AK5', 'JPT',
#                         doJTA        = True,
#                         doBTagging   = doBTagging,
#                         jetCorrLabel = ('AK5JPT', process.patJetCorrFactors.levels),
#                         doType1MET   = False,
#                         doL1Cleaning = False,
#                         doL1Counters = True,
#                         genJetCollection = cms.InputTag("ak5GenJets"),
#                         doJetID      = True
#        )
    
        # Add PF jets
        addJetCollection(process, cms.InputTag('ak5PFJets'),
                         'AK5', 'PF',
                         doJTA        = True,
                         doBTagging   = doBTagging,
                         jetCorrLabel = ('AK5PF', process.patJetCorrFactors.levels),
                         doType1MET   = False,
                         doL1Cleaning = False,
                         doL1Counters = True,
                         genJetCollection = cms.InputTag("ak5GenJets"),
                         doJetID      = True
        )
        setPatJetCorrDefaults(process.patJetCorrFactorsAK5PF, dataVersion, True)

    else:
        setPatJetCorrDefaults(process.patJetCorrFactors, dataVersion, True)
        switchJetCollection(process, cms.InputTag('ak5PFJets'),
                            doJTA        = True,
                            doBTagging   = doBTagging,
                            jetCorrLabel = ('AK5PF', process.patJetCorrFactors.levels),
                            doType1MET   = False,
                            genJetCollection = cms.InputTag("ak5GenJets"),
                            doJetID      = True
        )
    
    outputCommands.extend([
            "keep *_selectedPatJets_*_*",
            "keep *_selectedPatJetsAK5JPT_*_*",
            "keep *_selectedPatJetsAK5PF_*_*",
            'drop *_selectedPatJets_pfCandidates_*', ## drop for default patJets which are CaloJets
            'drop *_*PF_caloTowers_*',
            'drop *_*JPT_pfCandidates_*',
            'drop *_*Calo_pfCandidates_*',
            ])

    # Taus

    # Set default PATTauProducer options here, they should be
    # replicated to all added tau collections (and the first call to
    # addTauCollection should replace the default producer modified
    # here)
    setPatTauDefaults(process.patTaus, includePFCands)
    process.selectedPatTaus.cut = tauPreSelection

    if doPatTaus:
        if doHChTauDiscriminators:
            addHChTauDiscriminators()

        # Don't enable TCTau nor shrinking cone tau
        # if doPatCalo:
        #     tauTools.addTauCollection(process,cms.InputTag('caloRecoTauProducer'),
        #                      algoLabel = "caloReco",
        #                      typeLabel = "Tau")
        #     setPatTauDefaults(process.patTausCaloRecoTau, True)
        #     process.patTausCaloRecoTau.embedLeadTrack = not includePFCands
        #     process.patTausCaloRecoTau.embedLeadPFChargedHadrCand = False
    
        # tauTools.addTauCollection(process,cms.InputTag('shrinkingConePFTauProducer'),
        #                  algoLabel = "shrinkingCone",
        #                  typeLabel = "PFTau")
        # # Disable isoDeposits like this until the problem with doPFIsoDeposits is fixed 
        # if not doPatTauIsoDeposits:
        #     process.patTausShrinkingConePFTau.isoDeposits = cms.PSet()

        tauTools.addTauCollection(process,cms.InputTag('hpsPFTauProducer'),
                         algoLabel = "hps",
                         typeLabel = "PFTau")
        if not doPatTauIsoDeposits:
            process.patTausHpsPFTau.isoDeposits = cms.PSet()
        addPatTauIsolationEmbedding(process, process.patDefaultSequence, "HpsPFTau")

        tauTools.addTauCollection(process,cms.InputTag('hpsTancTaus'),
                                  algoLabel = "hpsTanc",
                                  typeLabel = "PFTau")
        if not doPatTauIsoDeposits:
            process.patTausHpsTancPFTau.isoDeposits = cms.PSet()
        # Disable discriminators which are not in AOD
#        del process.patTausHpsTancPFTau.tauIDSources.againstCaloMuon
#        del process.patTausHpsTancPFTau.tauIDSources.byHPSvloose
        addPatTauIsolationEmbedding(process, process.patDefaultSequence, "HpsTancPFTau")

        # Add visible taus    
        if dataVersion.isMC():
            process.VisibleTaus = cms.EDProducer("HLTTauMCProducer",
                GenParticles  = cms.untracked.InputTag("genParticles"),
                ptMinTau      = cms.untracked.double(3),
                ptMinMuon     = cms.untracked.double(3),
                ptMinElectron = cms.untracked.double(3),
                BosonID       = cms.untracked.vint32(23),
                EtaMax         = cms.untracked.double(2.5)
            )
            sequence *= process.VisibleTaus
            outputCommands.append("keep *_VisibleTaus_*_*")

    else:
        # FIXME: this is broken at the moment
        #removeSpecificPATObjects(process, ["Taus"], outputInProcess= out != None)
        process.patDefaultSequence.remove(process.patTaus)
        process.patDefaultSequence.remove(process.selectedPatTaus)

    outputCommands.extend(["drop *_selectedPatTaus_*_*",
#                           "keep *_selectedPatTausCaloRecoTau_*_*",
#                           "keep *_selectedPatTausShrinkingConePFTau_*_*",
                           "keep *_selectedPatTausHpsPFTau_*_*",
                           "keep *_selectedPatTausHpsTancPFTau_*_*",
                           #"keep *_cleanPatTaus_*_*",
                           #"drop *_cleanPatTaus_*_*",
                           #"keep *_patTaus*_*_*",
                           #"keep *_patPFTauProducerFixedCone_*_*",
                           # keep these until the embedding problem with pat::Tau is fixed
                           #"keep recoPFCandidates_particleFlow_*_*",
                           #"keep recoTracks_generalTracks_*_*"
                           ])

    # MET
    addPfMET(process, 'PF')
    if doPatCalo:
        addTcMET(process, 'TC')
    else:
        # FIXME: This is broken at the moment...
        #removeSpecificPATObjects(process, ["METs"], outputInProcess= out != None)
        #process.patDefaultSequen
        process.patDefaultSequence.remove(process.patMETCorrections)
        process.patDefaultSequence.remove(process.patMETs)
        del process.patMETCorrections
        del process.patMETs

    outputCommands.extend([
            "keep *_patMETs_*_*",
            "keep *_patMETsTC_*_*",
            "keep *_patMETsPF_*_*",
            "keep *_genMetTrue_*_*",
            ])

    # Muons
    setPatLeptonDefaults(process.patMuons, includePFCands)
    if doPatMuonPFIsolation:
        addPFMuonIsolation(process, process.patMuons, sequence, verbose=True)

    outputCommands.extend([
            "keep *_selectedPatMuons_*_*"
            ])

    # Electrons
    # In order to calculate the transverse impact parameter w.r.t.
    # beam spot instead of primary vertex, see
    setPatLeptonDefaults(process.patMuons, includePFCands)

    # Electron ID, see
    # https://twiki.cern.ch/twiki/bin/view/CMS/SimpleCutBasedEleID
    if doPatElectronID:
        addPatElectronID(process, process.patElectrons, process.patDefaultSequence)

    outputCommands.extend([
            "keep *_selectedPatElectrons_*_*"
            ])

    # Photons
#    process.patPhotons.embedGenMatch = False
    outputCommands.extend([
            "keep *_selectedPatPhotons_*_*"
            ])

    # Trigger
    if doPatTrigger:
        outMod= ''
        if out != None:
            outMod  = 'out'
        switchOnTrigger(process, hltProcess=dataVersion.getTriggerProcess(), outputModule=outMod)
        process.patTrigger.addL1Algos = cms.bool(True)
        process.patTrigger.l1ExtraMu = cms.InputTag("l1extraParticles")
        process.patTrigger.l1ExtraCenJet = cms.InputTag("l1extraParticles", "Central")
        process.patTrigger.l1ExtraTauJet = cms.InputTag("l1extraParticles", "Tau")
        process.patTrigger.l1ExtraForJet = cms.InputTag("l1extraParticles", "Forward")
        process.patTrigger.l1ExtraETM = cms.InputTag("l1extraParticles", "MET")
        process.patTrigger.l1ExtraHTM = cms.InputTag("l1extraParticles", "MHT")


        # Keep StandAlone trigger objects for enabling trigger
        # matching in the analysis phase with PAT tools
        outputCommands.extend(patTriggerStandAloneEventContent)


    # Remove cleaning step and set the event content
    if out == None:
        myRemoveCleaning(process)
    else:
        backup = out.outputCommands[:]
        myRemoveCleaning(process)
#        backup_pat = out.outputCommands[:]

        # Remove PFParticles here, they are explicitly included when needed
#        backup_pat = filter(lambda n: "selectedPatPFParticles" not in n, backup_pat)

        out.outputCommands = backup
#        out.outputCommands.extend(backup_pat)
        out.outputCommands.extend(outputCommands)

    # Build sequence
    sequence *= process.patDefaultSequence

    # Tau+HLT matching
    if doTauHLTMatching:
        sequence *= HChTriggerMatching.addTauHLTMatching(process, matchingTauTrigger, matchingJetTrigger)

    return sequence