MetAnalysisConfig.py

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# Copyright (C) 2002-2026 CERN for the benefit of the ATLAS collaboration
 
# AnaAlgorithm import(s):
from AnalysisAlgorithmsConfig.ConfigBlock import ConfigBlock
from AnalysisAlgorithmsConfig.ConfigAccumulator import DataType
 
 
class MetAnalysisConfig (ConfigBlock):
    """the ConfigBlock for the MET configuration"""
 
    def __init__ (self) :
        super (MetAnalysisConfig, self).__init__ ()
        self.addOption('containerName', '', type=str,
            noneAction='error',
            info="the name of the output container.",
            meta={'role':'container'})
        self.addOption ('useJVT', True, type=bool,
            info="whether to use the JVT decision in the MET calculation.")
        self.addOption ('useFJVT', False, type=bool,
            info="whether to use the forward JVT decision in the MET calculation.")
        self.addOption ('selectionNameFJVT', "", type=str,
            info="name of the forward JVT selection to be used if `useFJVT` is activated.",
            meta={'role':'selection'})
        self.addOption ('treatPUJets', False, type=bool,
            info="whether to treat pile-up jets in the MET significance calculation.")
        self.addOption ('setMuonJetEMScale', True, type=bool,
            info="enables the handling of muons in jets for the MET calculation. "
            "Should be turned off for analyses where muons are not reconstructed "
            "at all.")
        self.addOption ('jets', "", type=str,
            info="the input jet container.",
            meta={'role':'containerRef'})
        self.addOption ('electrons', "", type=str,
            info="the input electron container, with a possible selection, in "
            "the format `container` or `container.selection`.",
            meta={'role':'containerRef'})
        self.addOption ('muons', "", type=str,
            info="the input muon container, with a possible selection, in the "
            "format `container` or `container.selection`.",
            meta={'role':'containerRef'})
        self.addOption ('photons', "", type=str,
            info="the input photon container, with a possible selection, in "
            "the format `container` or `container.selection`.",
            meta={'role':'containerRef'})
        self.addOption ('taus', "", type=str,
            info="the input tau-jet container, with a possible selection, in "
            "the format `container` or `container.selection`.",
            meta={'role':'containerRef'})
        self.addOption ('invisible', [], type=None,
            info="any input containers to be treated as invisible particles, "
            "as a single string or a list of strings in the format `container` or `container.selection`.",
            meta={'role':'containerRef'})
        self.addOption ('metWP', "Tight", type=str,
            info="the MET working point to use: `Loose`, `Tight`, `Tighter`, "
            "`Tenacious`.",
            meta={'choices':(['Loose','Tight','Tighter','Tenacious'],1)})
        self.addOption ('skipSystematicJetSelection', False, type=bool,
            info="EXPERIMENTAL: whether to use simplified OR based on nominal jets "
            "and for jet-related systematics only. "
            "WARNING: this option is strictly for doing physics studies of the feasibility "
            "of this OR scheme, it should not be used in a regular analysis.",
            expertMode=True)
        self.addOption ('saveSignificance', True, type=bool,
            info="whether to save the MET significance.")
        self.addOption ('jetCalibConfig', "", type=str,
            info="config file used in jet calibration (for MET significance).")
        self.addOption ('jetCalibSequence', "", type=str,
            info="jet calibration sequence (for MET significance).")
        self.addOption ('jetCalibArea', "", type=str,
            info="name of the CalibArea used in jet calibration (for MET significance).")
        self.addOption ('egammaESModel', "", type=str,
            info="ESModel for EGamma calibration (for MET significance).")
        self.addOption ('egammaDecorrelationModel', "", type=str,
            info="decorrelation model for EGamma calibration (for MET significance).")
        self.addOption ('tauTESConfig', "CombinedTES_R22_Round2.5_v2.root", type=str,
            info="config file for tau energy scale calibration (for MET significance).")
        self.addOption ('tauUseMVAResolution', True, type=bool,
            info="whether to use MVA resolution for taus-jets (for MET significance).")
        self.addOption ('addExtraSignificanceVars', False, type=bool,
            info="whether to save some additional (event-based) MET significance variables.")
        self.addOption ('useLRT', False, type=bool,
            info="whether to use LRT MET Core and association map.")
        self.addOption ('useCaloSoftTerm', False, type=bool,
            info="whether to use calo- instead of track-based soft term.",
            expertMode=True)
        self.addOption ('softTermResolution', -1.0, type=float,
            info="override the default soft term resolution in METSignificance.",
            expertMode=True)
        self.addOption ('switchTauMuOrder', False, type=bool,
            info="whether to switch order of taus and muons",
            expertMode=True)
        self.addOption ('useNN', False, type=bool,
            info="use the METNet neural-network MET tool (met::METNet) instead of "
            "met::METMaker. Produces the NN MET as the container's Final term.")
        self.addOption ('networkFile', "", type=str,
            info="path to the METNet ONNX network file (required when useNN=True).")
 
    def instanceName (self) :
        """Return the instance name for this block"""
        return self.containerName
 
    def makeAlgs (self, config) :
 
        if config.isPhyslite() :
            metSuffix = 'AnalysisMET'
        else :
            jetContainer = config.originalName (self.jets)
            metSuffix = jetContainer.removesuffix('Jets')
        if self.useLRT:
            metSuffix += "_LRT"
 
        # Remove b-tagging calibration from the MET suffix name
        btIndex = metSuffix.find('_BTagging')
        if btIndex != -1:
            metSuffix = metSuffix[:btIndex]
 
        # Set up the met maker algorithm:
        alg = config.createAlgorithm( 'CP::MetMakerAlg', 'MetMakerAlg' )
        if self.useNN:
            if not self.networkFile:
                raise ValueError("MissingET: useNN=True requires 'networkFile'.")
            config.addPrivateTool( 'makerTool', 'met::METNet' )
            alg.makerTool.NetworkFile  = self.networkFile
            alg.makerTool.JetContainer = config.readName (self.jets)
            alg.evaluateNNMET = True
            alg.doJetJVT = self.useJVT
            # NOTE: no met::METSystematicsTool for the NN path — soft-term
            # systematics are not defined for the network output.
        else:
            config.addPrivateTool( 'makerTool', 'met::METMaker' )
            alg.makerTool.skipSystematicJetSelection = self.skipSystematicJetSelection
 
            alg.doJetJVT = self.useJVT
            if self.useJVT:
                config.addPrivateTool( 'makerTool.JvtSelTool', 'CP::NNJvtSelectionTool' )
                alg.makerTool.JvtSelTool.JetContainer = config.readName (self.jets)
                alg.makerTool.JvtSelTool.JvtMomentName = "NNJvt"
            if self.useFJVT:
                # for backwards compatibility with "old" FJVT handling in JetAnalysisConfig.py
                if not self.selectionNameFJVT:
                    alg.makerTool.JetRejectionDec = 'fjvt_selection'
                # otherwise get the decoration from the selection
                else:
                    fjvt_decoration = config.getFullSelection(self.jets, self.selectionNameFJVT, skipBase=True).replace(",as_char", "")
                    alg.makerTool.JetRejectionDec = fjvt_decoration
 
            alg.makerTool.JetSelection = self.metWP
            alg.makerTool.DoPFlow = 'PFlow' in metSuffix or metSuffix=="AnalysisMET"
            alg.makerTool.DoSetMuonJetEMScale = self.setMuonJetEMScale if self.muons else False
            alg.switchTauMu = self.switchTauMuOrder
 
            if config.dataType() is not DataType.Data :
                config.addPrivateTool( 'systematicsTool', 'met::METSystematicsTool' )
 
        alg.metCore = 'MET_Core_' + metSuffix
        alg.metAssociation = 'METAssoc_' + metSuffix
        alg.jets = config.readName (self.jets)
        alg.softTermKey = "PVSoftTrk" if not self.useCaloSoftTerm else "SoftClus"
        if self.muons != "" :
            alg.muons, alg.muonsSelection = config.readNameAndSelection (self.muons, excludeFrom={'or'})
        if self.electrons != "" :
            alg.electrons, alg.electronsSelection = config.readNameAndSelection (self.electrons, excludeFrom={'or'})
        if self.photons != "" :
            alg.photons, alg.photonsSelection = config.readNameAndSelection (self.photons, excludeFrom={'or'})
        if self.taus != "" :
            alg.taus, alg.tausSelection = config.readNameAndSelection (self.taus, excludeFrom={'or'})
        if self.invisible:
            if isinstance(self.invisible, str):
                self.invisible = [self.invisible]
            invisibleContainers, invisibleSelections = zip(*[config.readNameAndSelection (container, excludeFrom={'or'}) for container in self.invisible])
            alg.invisible = list(invisibleContainers)
            alg.invisibleSelection = list(invisibleSelections)
        alg.met = config.writeName (self.containerName, isMet = True)
 
        # met/phi are decorated on every term by the maker alg (for the NN path
        # directly via evaluateNNMET), so they are output on both paths.
        config.addOutputVar (self.containerName, 'met', 'met')
        config.addOutputVar (self.containerName, 'phi', 'phi')
        config.addOutputVar (self.containerName, 'name', 'name', noSys=True, enabled=False)
 
        # The NN path writes the Final term directly (a builder sum would clobber
        # it) and produces no meaningful sumet/significance, so it needs neither
        # the met builder nor the significance algorithm.
        if self.useNN:
            return
 
        config.addOutputVar (self.containerName, 'sumet', 'sumet')
 
        # Set up the met builder algorithm:
        alg = config.createAlgorithm( 'CP::MetBuilderAlg', 'MetBuilderAlg' )
        alg.softTerm = "PVSoftTrk" if not self.useCaloSoftTerm else "SoftClus"
        alg.met = config.readName (self.containerName)
 
 
        # Set up the met significance algorithm:
        if self.saveSignificance:
            alg = config.createAlgorithm( 'CP::MetSignificanceAlg', 'MetSignificanceAlg' )
            config.addPrivateTool( 'significanceTool', 'met::METSignificance' )
            if self.muons != "" :
                config.addPrivateTool( 'significanceTool.MuonCalibTool', 'CP::MuonCalibTool' )
                # Retrieve the calibMode from the container name.selections
                alg.significanceTool.MuonCalibTool.calibMode = (
                    config.getContainerMeta(self.muons.split(".")[0], 'calibMode', failOnMiss=True))
 
            # Preliminary R22 recommendation is to use R21 jet resolutions from 2018 for MET significance.
            # See Jet/Etmiss recommendation documentation for details.
            if self.jetCalibConfig == "":
                self.jetCalibConfig = "JES_data2017_2016_2015_Recommendation_PFlow_Aug2018_rel21.config"
                self.jetCalibArea = "00-04-81"
                # Include Smear and not InSitu, even when running on data.
                # This is for technical reasons and allows access to the correct resolutions for both data and MC.
                self.jetCalibSequence = 'JetArea_Residual_EtaJES_GSC_Smear'
 
            # Standard e/gamma calibration. Must be kept in agreement with ElectronAnalysisConfig.py
            if self.electrons != "" :
                if self.egammaESModel == "":
                    self.egammaESModel = (
                        config.getContainerMeta(self.electrons.split(".")[0], 'ESModel', failOnMiss=True))
                if self.egammaDecorrelationModel == "":
                    self.egammaDecorrelationModel = (
                        config.getContainerMeta(self.electrons.split(".")[0], 'decorrelationModel', failOnMiss=True))
 
            alg.significanceTool.SoftTermParam = 0
            if self.softTermResolution > 0:
                alg.significanceTool.SoftTermReso = self.softTermResolution
            alg.significanceTool.TreatPUJets = self.treatPUJets
            alg.significanceTool.JetCalibConfig = self.jetCalibConfig
            alg.significanceTool.JetCalibSequence = self.jetCalibSequence
            alg.significanceTool.JetCalibArea = self.jetCalibArea
            alg.significanceTool.EgammaESModel = self.egammaESModel
            alg.significanceTool.EgammaDecorrelationModel = self.egammaDecorrelationModel
            alg.significanceTool.EgammaUseFastsim = (config.dataType() is DataType.FastSim)
            alg.significanceTool.TauTESConfig = self.tauTESConfig
            alg.significanceTool.TauUseMVAResolution = self.tauUseMVAResolution
            alg.met = config.readName (self.containerName)
            config.addOutputVar (self.containerName, 'significance_%SYS%', 'significance')
            if self.addExtraSignificanceVars:
                alg.sigDirectionalDecoration = "sigDirectional_%SYS%"
                alg.METOverSqrtSumETDecoration = "METOverSqrtSumET_%SYS%"
                alg.METOverSqrtHTDecoration = "METOverSqrtHT_%SYS%"
                config.addOutputVar (self.containerName, 'sigDirectional_%SYS%', 'sigDirectional')
                config.addOutputVar (self.containerName, 'METOverSqrtSumET_%SYS%', 'METOverSqrtSumET')
                config.addOutputVar (self.containerName, 'METOverSqrtHT_%SYS%', 'METOverSqrtHT')