EGAM5.py

Go to the documentation of this file.

# Copyright (C) 2002-2024 CERN for the benefit of the ATLAS collaboration
# ====================================================================
# EGAM5.py
# This defines DAOD_EGAM5, a skimmed DAOD format for Run 3.
# W->enu derivation
# It requires the flag EGAM5 in Derivation_tf.py
# ====================================================================
 
from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
from AthenaConfiguration.ComponentFactory import CompFactory
from AthenaConfiguration.Enums import MetadataCategory
 
from AthenaCommon.SystemOfUnits import MeV, GeV
 
from DerivationFrameworkEGamma.PhotonsCPDetailedContent import (
    PhotonsCPDetailedContent,
)
 
from DerivationFrameworkEGamma.TriggerContent import (
    WTnPTriggers,
    ExtraContainersTrigger,
    ExtraContainersElectronTrigger,
    ExtraContainersTriggerDataOnly,
)
 
 
def EGAM5SkimmingToolCfg(flags):
    """Configure the EGAM5 skimming tool"""
    acc = ComponentAccumulator()
 
    # 1st selection: trigger-based (WTP triggers)
    MenuType = None
    if flags.Trigger.EDMVersion == 2:
        MenuType = "Run2"
    elif flags.Trigger.EDMVersion == 3:
        MenuType = "Run3"
    else:
        MenuType = ""
    triggers = WTnPTriggers[MenuType]
    print("EGAM5 trigger skimming list (OR): ", triggers)
 
    EGAM5_TriggerSkimmingTool = CompFactory.DerivationFramework.TriggerSkimmingTool(
        name="EGAM5_TriggerSkimmingTool", TriggerListOR=triggers
    )
 
    # 2nd selection: off-line, based on mT(enu)
    expression2 = "count(EGAM5_ENuTransverseMass > 40*GeV)>=1"
    print("EGAM5 offline skimming expression: ", expression2)
    EGAM5_OfflineSkimmingTool = CompFactory.DerivationFramework.xAODStringSkimmingTool(
        name="EGAM5_OfflineSkimmingTool", expression=expression2
    )
 
    # 3rd selection: mix of off-line and on-line criteria
    expression3a = " || ".join(
        [
            "HLT_e60_lhloose_xe60noL1",
            "HLT_e120_lhloose",
            "HLT_j80_xe80",
            "HLT_xe70",
            "HLT_xe80_tc_lcw_L1XE50",
            "HLT_xe90_mht_L1XE50",
            "HLT_xe90_tc_lcw_wEFMu_L1XE50",
            "HLT_xe90_mht_wEFMu_L1XE50",
        ]
    )
    expression3b = "count(Electrons.pt > 14.5*GeV) >= 1"
    expression3 = "( " + expression3a + " ) && ( " + expression3b + " )"
    print("EGAM5 mixed offline-online skimming expression: ", expression3)
 
    EGAM5_OnlineOfflineSkimmingTool = (
        CompFactory.DerivationFramework.xAODStringSkimmingTool(
            name="EGAM5_OnlineOfflineSkimmingTool", expression=expression3
        )
    )
 
    # do the OR of previous selections
    print("EGAM5 skimming is logical OR of previous selections")
    EGAM5_SkimmingTool = CompFactory.DerivationFramework.FilterCombinationOR(
        name="EGAM5_SkimmingTool",
        FilterList=[
            EGAM5_OfflineSkimmingTool,
            EGAM5_TriggerSkimmingTool,
            EGAM5_OnlineOfflineSkimmingTool,
        ],
    )
 
    acc.addPublicTool(EGAM5_OfflineSkimmingTool)
    acc.addPublicTool(EGAM5_TriggerSkimmingTool)
    acc.addPublicTool(EGAM5_OnlineOfflineSkimmingTool)
    acc.addPublicTool(EGAM5_SkimmingTool, primary=True)
 
    return acc
 
 
def EGAM5enuTransverseMassToolCfg(flags):
    """Configure the EGAM5 enu transverse mass augmentation tool"""
    acc = ComponentAccumulator()
 
    # ====================================================================
    # enu transverse mass
    #
    # 1 tight electron with pT>25 GeV + MET > 25 GeV
    # ====================================================================
    electronPtRequirement = "(Electrons.pt > 24.5*GeV)"
    electronQualityRequirement = "(Electrons.DFCommonElectronsLHTight)"
    requirement_el = (
        "(" + electronQualityRequirement + "&&" + electronPtRequirement + ")"
    )
 
    acc.setPrivateTools(
        CompFactory.DerivationFramework.EGTransverseMassTool(
            name="EGAM5_enuTransverseMassTool",
            ObjectRequirements=requirement_el,
            METmin=25 * GeV,
            StoreGateEntryName="EGAM5_ENuTransverseMass",
            ObjectMassHypothesis=0.511 * MeV,
            ObjectContainerName="Electrons",
            METContainerName="MET_Core_AntiKt4EMPFlow",
        )
    )
 
    return acc
 
 
def EGAM5KernelCfg(flags, name="EGAM5Kernel", **kwargs):
    """Configure the derivation framework driving algorithm (kernel)
    for EGAM5"""
    acc = ComponentAccumulator()
 
    # Common augmentations
    from DerivationFrameworkPhys.PhysCommonConfig import PhysCommonAugmentationsCfg
 
    acc.merge(
        PhysCommonAugmentationsCfg(
            flags, TriggerListsHelper=kwargs["TriggerListsHelper"]
        )
    )
 
    # EGAM5 augmentations
    augmentationTools = []
 
    # ====================================================================
    # enu transverse mass
    # ====================================================================
    EGAM5enuTransverseMassTool = acc.popToolsAndMerge(
        EGAM5enuTransverseMassToolCfg(flags)
    )
    acc.addPublicTool(EGAM5enuTransverseMassTool)
    augmentationTools.append(EGAM5enuTransverseMassTool)
 
    # ====================================================================
    # Common calo decoration tools
    # ====================================================================
    from DerivationFrameworkCalo.DerivationFrameworkCaloConfig import (
        CaloDecoratorKernelCfg)
    acc.merge(CaloDecoratorKernelCfg(flags))
 
    # thinning tools
    thinningTools = []
    streamName = kwargs["StreamName"]
 
    # Track thinning
    if flags.Derivation.Egamma.doTrackThinning:
        from DerivationFrameworkInDet.InDetToolsConfig import (
            TrackParticleThinningCfg,
            MuonTrackParticleThinningCfg,
            TauTrackParticleThinningCfg,
        )
 
        TrackThinningKeepElectronTracks = True
        TrackThinningKeepPhotonTracks = True
        TrackThinningKeepAllElectronTracks = False
        TrackThinningKeepJetTracks = False
        TrackThinningKeepMuonTracks = False
        TrackThinningKeepTauTracks = False
        TrackThinningKeepPVTracks = True
 
        # Tracks associated with Electrons
        if TrackThinningKeepElectronTracks:
            EGAM5ElectronTPThinningTool = (
                CompFactory.DerivationFramework.EgammaTrackParticleThinning(
                    name="EGAM5ElectronTPThinningTool",
                    StreamName=streamName,
                    SGKey="Electrons",
                    GSFTrackParticlesKey="GSFTrackParticles",
                    InDetTrackParticlesKey="InDetTrackParticles",
                    SelectionString="Electrons.pt > 0*GeV",
                    BestMatchOnly=True,
                    ConeSize=0.3,
                )
            )
            acc.addPublicTool(EGAM5ElectronTPThinningTool)
            thinningTools.append(EGAM5ElectronTPThinningTool)
 
        # Tracks associated with Electrons (all tracks, large cone, for track
        # isolation studies of the selected electrons)
        if TrackThinningKeepAllElectronTracks:
            EGAM5ElectronTPThinningTool2 = (
                CompFactory.DerivationFramework.EgammaTrackParticleThinning(
                    name="EGAM5ElectronTPThinningTool2",
                    StreamName=streamName,
                    SGKey="Electrons",
                    GSFTrackParticlesKey="GSFTrackParticles",
                    InDetTrackParticlesKey="InDetTrackParticles",
                    SelectionString="Electrons.pt > 4*GeV",
                    BestMatchOnly=False,
                    ConeSize=0.6,
                )
            )
            acc.addPublicTool(EGAM5ElectronTPThinningTool2)
            thinningTools.append(EGAM5ElectronTPThinningTool2)
 
        # Tracks associated with Photons
        if TrackThinningKeepPhotonTracks:
            EGAM5PhotonTPThinningTool = (
                CompFactory.DerivationFramework.EgammaTrackParticleThinning(
                    name="EGAM5PhotonTPThinningTool",
                    StreamName=streamName,
                    SGKey="Photons",
                    GSFTrackParticlesKey="GSFTrackParticles",
                    InDetTrackParticlesKey="InDetTrackParticles",
                    GSFConversionVerticesKey="GSFConversionVertices",
                    SelectionString="Photons.pt > 0*GeV",
                    BestMatchOnly=True,
                    ConeSize=0.3,
                )
            )
            acc.addPublicTool(EGAM5PhotonTPThinningTool)
            thinningTools.append(EGAM5PhotonTPThinningTool)
 
        # Tracks associated with Jets
        if TrackThinningKeepJetTracks:
            EGAM5JetTPThinningTool = (
                CompFactory.DerivationFramework.JetTrackParticleThinning(
                    name="EGAM5JetTPThinningTool",
                    StreamName=streamName,
                    JetKey="AntiKt4EMPFlowJets",
                    InDetTrackParticlesKey="InDetTrackParticles",
                )
            )
            acc.addPublicTool(EGAM5JetTPThinningTool)
            thinningTools.append(EGAM5JetTPThinningTool)
 
        # Tracks associated with Muons
        if TrackThinningKeepMuonTracks:
            EGAM5MuonTPThinningTool = acc.getPrimaryAndMerge(
                MuonTrackParticleThinningCfg(
                    flags,
                    name="EGAM5MuonTPThinningTool",
                    StreamName=streamName,
                    MuonKey="Muons",
                    InDetTrackParticlesKey="InDetTrackParticles",
                )
            )
            thinningTools.append(EGAM5MuonTPThinningTool)
 
        # Tracks associated with Taus
        if TrackThinningKeepTauTracks:
            EGAM5TauTPThinningTool = acc.getPrimaryAndMerge(
                TauTrackParticleThinningCfg(
                    flags,
                    name="EGAM5TauTPThinningTool",
                    StreamName=streamName,
                    TauKey="TauJets",
                    ConeSize=0.6,
                    InDetTrackParticlesKey="InDetTrackParticles",
                    DoTauTracksThinning=True,
                    TauTracksKey="TauTracks",
                )
            )
            thinningTools.append(EGAM5TauTPThinningTool)
 
        # Tracks from primary vertex
        thinning_expression = " && ".join(
            [
                "(InDetTrackParticles.DFCommonTightPrimary)",
                "(abs(DFCommonInDetTrackZ0AtPV)*sin(InDetTrackParticles.theta)<3*mm)",
                "(InDetTrackParticles.pt>10*GeV)",
            ]
        )
        if TrackThinningKeepPVTracks:
            EGAM5TPThinningTool = acc.getPrimaryAndMerge(
                TrackParticleThinningCfg(
                    flags,
                    name="EGAM5TPThinningTool",
                    StreamName=streamName,
                    SelectionString=thinning_expression,
                    InDetTrackParticlesKey="InDetTrackParticles",
                )
            )
            thinningTools.append(EGAM5TPThinningTool)
 
    # skimming
    skimmingTool = acc.getPrimaryAndMerge(EGAM5SkimmingToolCfg(flags))
 
    # setup the kernel
    acc.addEventAlgo(
        CompFactory.DerivationFramework.DerivationKernel(
            name,
            SkimmingTools=[skimmingTool],
            AugmentationTools=augmentationTools,
            ThinningTools=thinningTools,
        )
    )
 
    return acc
 
 
def EGAM5Cfg(flags):
    acc = ComponentAccumulator()
 
    # Get the lists of triggers needed for trigger matching.
    # This is needed at this scope (for the slimming) and further down
    # in the config chain for actually configuring the matching, so we create
    # it here and pass it down
    # TODO: this should ideally be called higher up to avoid it being run
    # multiple times in a train.
    # DODO: restrict it to relevant triggers
    from DerivationFrameworkPhys.TriggerListsHelper import TriggerListsHelper
 
    EGAM5TriggerListsHelper = TriggerListsHelper(flags)
 
    # configure skimming/thinning/augmentation tools
    acc.merge(
        EGAM5KernelCfg(
            flags,
            name="EGAM5Kernel",
            StreamName="StreamDAOD_EGAM5",
            TriggerListsHelper=EGAM5TriggerListsHelper,
        )
    )
 
    # configure slimming
    from OutputStreamAthenaPool.OutputStreamConfig import OutputStreamCfg
    from xAODMetaDataCnv.InfileMetaDataConfig import SetupMetaDataForStreamCfg
    from DerivationFrameworkCore.SlimmingHelper import SlimmingHelper
 
    EGAM5SlimmingHelper = SlimmingHelper(
        "EGAM5SlimmingHelper",
        NamesAndTypes=flags.Input.TypedCollections,
        flags=flags,
    )
 
    # ------------------------------------------
    # containers for which we save all variables
    # -------------------------------------------
 
    # baseline
    EGAM5SlimmingHelper.AllVariables = [
        "Electrons",
        "GSFTrackParticles",
        "egammaClusters",
    ]
 
    # for trigger studies we also add:
    MenuType = None
    if flags.Trigger.EDMVersion == 2:
        MenuType = "Run2"
    elif flags.Trigger.EDMVersion == 3:
        MenuType = "Run3"
    else:
        MenuType = ""
    EGAM5SlimmingHelper.AllVariables += ExtraContainersTrigger[MenuType]
    EGAM5SlimmingHelper.AllVariables += ExtraContainersElectronTrigger[MenuType]
    if not flags.Input.isMC:
        EGAM5SlimmingHelper.AllVariables += ExtraContainersTriggerDataOnly[MenuType]
 
    # and on MC we also add:
    if flags.Input.isMC:
        EGAM5SlimmingHelper.AllVariables += [
            "TruthEvents",
            "TruthParticles",
            "TruthVertices",
            "egammaTruthParticles",
        ]
 
    # -------------------------------------------
    # containers that we slim
    # -------------------------------------------
 
    # first add variables from smart-slimming
    # adding only also those for which we add all variables since
    # the XXXCPContent.py files also bring in some extra variables
    # for other collections
    EGAM5SlimmingHelper.SmartCollections = [
        "Electrons",
        "Photons",
        "Muons",
        "TauJets",
        "InDetTrackParticles",
        "PrimaryVertices",
        "AntiKt4EMPFlowJets",
        "MET_Baseline_AntiKt4EMPFlow",
        "BTagging_AntiKt4EMPFlow",
    ]
    # muons, tau, MET, b-tagging could be switched off if not needed
    # and use too much space
    if flags.Input.isMC:
        EGAM5SlimmingHelper.SmartCollections += [
            "AntiKt4TruthJets",
            "AntiKt4TruthDressedWZJets",
        ]
 
    # then add extra variables:
 
    # muons
    EGAM5SlimmingHelper.ExtraVariables += [
        "Muons.ptcone20.ptcone30.ptcone40.etcone20.etcone30.etcone40"
    ]
 
    # conversion vertices
    EGAM5SlimmingHelper.ExtraVariables += [
        "GSFConversionVertices.x.y.z.px.py.pz.pt1.pt2.etaAtCalo.phiAtCalo",
        "GSFConversionVertices.trackParticleLinks",
    ]
 
    # primary vertices
    EGAM5SlimmingHelper.ExtraVariables += ["PrimaryVertices.x.y.sumPt2"]
 
    # photons: detailed shower shape variables
    EGAM5SlimmingHelper.ExtraVariables += PhotonsCPDetailedContent
 
    # photons and electrons: gain and cluster energy per layer
    from DerivationFrameworkCalo.DerivationFrameworkCaloConfig import (
        getGainDecorations,
        getClusterEnergyPerLayerDecorations,
    )
 
    gainDecorations = getGainDecorations(acc, flags, "EGAM5Kernel")
    print("EGAM5 gain decorations: ", gainDecorations)
    EGAM5SlimmingHelper.ExtraVariables.extend(gainDecorations)
    clusterEnergyDecorations = getClusterEnergyPerLayerDecorations(acc, "EGAM5Kernel")
    print("EGAM5 cluster energy decorations: ", clusterEnergyDecorations)
    EGAM5SlimmingHelper.ExtraVariables.extend(clusterEnergyDecorations)
 
    # energy density
    EGAM5SlimmingHelper.ExtraVariables += [
        "TopoClusterIsoCentralEventShape.Density",
        "TopoClusterIsoForwardEventShape.Density",
        "NeutralParticleFlowIsoCentralEventShape.Density",
        "NeutralParticleFlowIsoForwardEventShape.Density",
    ]
 
    # truth
    if flags.Input.isMC:
        EGAM5SlimmingHelper.ExtraVariables += [
            "MuonTruthParticles.e.px.py.pz.status.pdgId.truthOrigin.truthType"
        ]
 
        EGAM5SlimmingHelper.ExtraVariables += [
            "Photons.truthOrigin.truthType.truthParticleLink"
        ]
 
    # Add event info
    if flags.Derivation.Egamma.doEventInfoSlimming:
        EGAM5SlimmingHelper.SmartCollections.append("EventInfo")
    else:
        EGAM5SlimmingHelper.AllVariables += ["EventInfo"]
 
    # Add egamma trigger objects
    EGAM5SlimmingHelper.IncludeEGammaTriggerContent = True
 
    # Trigger matching
    # Run 2
    if flags.Trigger.EDMVersion == 2:
        from DerivationFrameworkPhys.TriggerMatchingCommonConfig import AddRun2TriggerMatchingToSlimmingHelper
        AddRun2TriggerMatchingToSlimmingHelper(SlimmingHelper = EGAM5SlimmingHelper, 
                                               OutputContainerPrefix = "TrigMatch_",
                                               TriggerList = EGAM5TriggerListsHelper.Run2TriggerNamesNoTau)
    # Run 3, or Run 2 with navigation conversion
    if flags.Trigger.EDMVersion == 3 or (flags.Trigger.EDMVersion == 2 and flags.Trigger.doEDMVersionConversion):
        from TrigNavSlimmingMT.TrigNavSlimmingMTConfig import AddRun3TrigNavSlimmingCollectionsToSlimmingHelper
        AddRun3TrigNavSlimmingCollectionsToSlimmingHelper(EGAM5SlimmingHelper)
 
    EGAM5ItemList = EGAM5SlimmingHelper.GetItemList()
    acc.merge(
        OutputStreamCfg(
            flags,
            "DAOD_EGAM5",
            ItemList=EGAM5ItemList,
            AcceptAlgs=["EGAM5Kernel"],
        )
    )
    acc.merge(
        SetupMetaDataForStreamCfg(
            flags,
            "DAOD_EGAM5",
            AcceptAlgs=["EGAM5Kernel"],
            createMetadata=[
                MetadataCategory.CutFlowMetaData,
                MetadataCategory.TruthMetaData,
            ],
        )
    )
 
    return acc