jetTools.AddJetCollection Class Reference

Inheritance diagram for jetTools.AddJetCollection:

Public Member Functions
def	__call__ (self, process, labelName=None, postfix=None, btagPrefix=None, jetSource=None, pfCandidates=None, explicitJTA=None, pvSource=None, svSource=None, elSource=None, muSource=None, runIVF=None, tightBTagNTkHits=None, loadStdRecoBTag=None, svClustering=None, fatJets=None, groomedFatJets=None, algo=None, rParam=None, getJetMCFlavour=None, genJetCollection=None, genParticles=None, jetCorrections=None, btagDiscriminators=None, btagInfos=None, jetTrackAssociation=None, outputModules=None)
def	__init__ (self)
def	getDefaultParameters (self)
def	toolCode (self, process)

Private Attributes
	_comment
	add comments More...
	_parameters
	initialization of the base class More...

Static Private Attributes
	_defaultParameters
	_label

Detailed Description

Tool to add a new jet collection to your PAT Tuple or to modify an existing one.

Definition at line 847 of file jetTools.py.

Constructor & Destructor Documentation

def jetTools.AddJetCollection.__init__

(

self

)

Initialize elements of the class. Note that the tool needs to be derived from ConfigToolBase to be usable in the configEditor.

Definition at line 854 of file jetTools.py.

References heavyIonTools.ConfigureHeavyIons._defaultParameters, coreTools.RunOnData._defaultParameters, heavyIonTools.ProductionDefaults._defaultParameters, cmsswVersionTools.PickRelValInputFiles._defaultParameters, coreTools.RemoveMCMatching._defaultParameters, heavyIonTools.SelectionDefaults._defaultParameters, heavyIonTools.DisbaleMonteCarloDeps._defaultParameters, jetTools.AddJetCollection._defaultParameters, root::helper::RootFunctionAdapter< F, args >.addParameter(), root::helper::RootFunctionHelper< F, args, Tag >.addParameter(), ParameterMgr.addParameter(), fit::RootMinuit< Function >.addParameter(), DropBoxMetadata::Parameters.addParameter(), Python11ParameterSet.addParameter(), cmspython3::Python11ParameterSet.addParameter(), l1t::TriggerSystem.addParameter(), LutXml.addParameter(), ConfigToolBase.ConfigToolBase.addParameter(), edm::ParameterSet.addParameter(), and list().

    def __init__(self):
        """
        Initialize elements of the class. Note that the tool needs to be derived from ConfigToolBase to be usable in the configEditor.
        """
        ## initialization of the base class
        ConfigToolBase.__init__(self)
        ## add all parameters that should be known to the class
        self.addParameter(self._defaultParameters,'labelName', 'UNDEFINED', "Label name of the new patJet collection.", str)
        self.addParameter(self._defaultParameters,'postfix','', "Postfix from usePF2PAT.", str)
        self.addParameter(self._defaultParameters,'btagPrefix','', "Prefix to be added to b-tag discriminator and TagInfo names", str)
        self.addParameter(self._defaultParameters,'jetSource','', "Label of the input collection from which the new patJet collection should be created", cms.InputTag)
        self.addParameter(self._defaultParameters,'pfCandidates',cms.InputTag('particleFlow'), "Label of the input collection for candidatecandidatese used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'explicitJTA', False, "Use explicit jet-track association")
        self.addParameter(self._defaultParameters,'pvSource',cms.InputTag('offlinePrimaryVertices'), "Label of the input collection for primary vertices used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'svSource',cms.InputTag('inclusiveCandidateSecondaryVertices'), "Label of the input collection for IVF vertices used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'elSource',cms.InputTag('gedGsfElectrons'), "Label of the input collection for electrons used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'muSource',cms.InputTag('muons'), "Label of the input collection for muons used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'runIVF', False, "Re-run IVF secondary vertex reconstruction")
        self.addParameter(self._defaultParameters,'tightBTagNTkHits', False, "Enable legacy tight b-tag track selection")
        self.addParameter(self._defaultParameters,'loadStdRecoBTag', False, "Load the standard reconstruction b-tagging modules")
        self.addParameter(self._defaultParameters,'svClustering', False, "Secondary vertices ghost-associated to jets using jet clustering (mostly intended for subjets)")
        self.addParameter(self._defaultParameters,'fatJets', cms.InputTag(''), "Fat jet collection used for secondary vertex clustering", cms.InputTag)
        self.addParameter(self._defaultParameters,'groomedFatJets', cms.InputTag(''), "Groomed fat jet collection used for secondary vertex clustering", cms.InputTag)
        self.addParameter(self._defaultParameters,'algo', 'AK', "Jet algorithm of the input collection from which the new patJet collection should be created")
        self.addParameter(self._defaultParameters,'rParam', 0.4, "Jet size (distance parameter R used in jet clustering)")
        self.addParameter(self._defaultParameters,'getJetMCFlavour', True, "Get jet MC truth flavour")
        self.addParameter(self._defaultParameters,'genJetCollection', cms.InputTag("ak4GenJets"), "GenJet collection to match to", cms.InputTag)
        self.addParameter(self._defaultParameters,'genParticles', cms.InputTag("genParticles"), "GenParticle collection to be used", cms.InputTag)
        self.addParameter(self._defaultParameters,'jetCorrections',None, "Add all relevant information about jet energy corrections that you want to be added to your new patJet \
        collection. The format has to be given in a python tuple of type: (\'AK4Calo\',[\'L2Relative\', \'L3Absolute\'], patMet). Here the first argument corresponds to the payload \
        in the CMS Conditions database for the given jet collection; the second argument corresponds to the jet energy correction levels that you want to be embedded into your \
        new patJet collection. This should be given as a list of strings. Available values are L1Offset, L1FastJet, L1JPTOffset, L2Relative, L3Absolute, L5Falvour, L7Parton; the \
        third argument indicates whether MET(Type1/2) corrections should be applied corresponding to the new patJetCollection. If so a new patMet collection will be added to your PAT \
        Tuple in addition to the raw patMet. This new patMet collection will have the MET(Type1/2) corrections applied. The argument can have the following types: \'type-1\' for \
        type-1 corrected MET; \'type-2\' for type-1 plus type-2 corrected MET; \'\' or \'none\' if no further MET corrections should be applied to your MET. The arguments \'type-1\' \
        and \'type-2\' are not case sensitive.", tuple, acceptNoneValue=True)
        self.addParameter(self._defaultParameters,'btagDiscriminators',['None'], "If you are interested in btagging, in most cases just the labels of the btag discriminators that \
        you are interested in is all relevant information that you need for a high level analysis. Add here all btag discriminators, that you are interested in as a list of strings. \
        If this list is empty no btag discriminator information will be added to your new patJet collection.", allowedValues=(list(set().union(supportedBtagDiscr.keys(),supportedMetaDiscr.keys()))),Type=list)
        self.addParameter(self._defaultParameters,'btagInfos',['None'], "The btagInfos objects contain all relevant information from which all discriminators of a certain \
        type have been calculated. You might be interested in keeping this information for low level tests or to re-calculate some discriminators from hand. Note that this information \
        on the one hand can be very space consuming and that it is not necessary to access the pre-calculated btag discriminator information that has been derived from it. Only in very \
        special cases the btagInfos might really be needed in your analysis. Add here all btagInfos, that you are interested in as a list of strings. If this list is empty no btagInfos \
        will be added to your new patJet collection.", allowedValues=supportedBtagInfos,Type=list)
        self.addParameter(self._defaultParameters,'jetTrackAssociation',False, "Add JetTrackAssociation and JetCharge from reconstructed tracks to your new patJet collection. This \
        switch is only of relevance if you don\'t add any btag information to your new patJet collection (btagDiscriminators or btagInfos) and still want this information added to \
        your new patJetCollection. If btag information of any form is added to the new patJet collection this information will be added automatically.")
        self.addParameter(self._defaultParameters,'outputModules',['out'],"Add a list of all output modules to which you would like the new jet collection to be added. Usually this is \
        just one single output module with name \'out\', which corresponds also the default configuration of the tool. There is cases though where you might want to add this collection \
        to more than one output module.")
        ## set defaults
        self._parameters=copy.deepcopy(self._defaultParameters)
        ## add comments
        self._comment = "This is a tool to add more patJet collectinos to your PAT Tuple or to re-configure the default collection. You can add and embed additional information like jet\
        energy correction factors, btag information and generator match information to the new patJet collection depending on the parameters that you pass on to this function. Consult \
        the descriptions of each parameter for more information."

Member Function Documentation

def jetTools.AddJetCollection.__call__	(		self,
			process,
			labelName = None,
			postfix = None,
			btagPrefix = None,
			jetSource = None,
			pfCandidates = None,
			explicitJTA = None,
			pvSource = None,
			svSource = None,
			elSource = None,
			muSource = None,
			runIVF = None,
			tightBTagNTkHits = None,
			loadStdRecoBTag = None,
			svClustering = None,
			fatJets = None,
			groomedFatJets = None,
			algo = None,
			rParam = None,
			getJetMCFlavour = None,
			genJetCollection = None,
			genParticles = None,
			jetCorrections = None,
			btagDiscriminators = None,
			btagInfos = None,
			jetTrackAssociation = None,
			outputModules = None
	)

Function call wrapper. This will check the parameters and call the actual implementation that
can be found in toolCode via the base class function apply.

Definition at line 917 of file jetTools.py.

References heavyIonTools.ConfigureHeavyIons._defaultParameters, coreTools.RunOnData._defaultParameters, heavyIonTools.ProductionDefaults._defaultParameters, cmsswVersionTools.PickRelValInputFiles._defaultParameters, coreTools.RemoveMCMatching._defaultParameters, heavyIonTools.SelectionDefaults._defaultParameters, heavyIonTools.DisbaleMonteCarloDeps._defaultParameters, jetTools.AddJetCollection._defaultParameters, SignedImpactParameter3D.apply(), gen::PhotosInterfaceBase.apply(), SurveyParameters.apply(), SignedTransverseImpactParameter.apply(), SignedDecayLength3D.apply(), MatrixReader.MatrixReader.apply, DummyOOTPileupCorrection.apply(), gen::PhotosppInterface.apply(), gen::PhotosInterface.apply(), FWPSetCellEditor.apply(), BeamSpotAlignmentParameters.apply(), RigidBodyAlignmentParameters.apply(), FWGUIEventFilter.apply(), DeviationsFromFileSensor2D.apply(), ConfigToolBase.ConfigToolBase.apply(), AlignmentParameters.apply(), BowedSurfaceAlignmentParameters.apply(), OOTPileupCorrData.apply(), Vispa.Plugins.ConfigEditor.ToolDataAccessor.ImportTool.apply(), Vispa.Plugins.ConfigEditor.ToolDataAccessor.ApplyTool.apply(), AbsOOTPileupCorrection.apply(), Vispa.Gui.BoxContentDialog.BoxContentDialog.apply(), reco::modules::TrackerTrackHitFilter::Rule.apply(), TwoBowedSurfacesAlignmentParameters.apply(), Vispa.Plugins.ConfigEditor.ToolDialog.ToolDialog.apply(), reco::Add< T >.apply(), reco::Sub< T >.apply(), reco::Mul< T >.apply(), reco::Div< T >.apply(), cmsswVersionTools.PickRelValInputFiles.apply(), reco::And< bool >.apply(), models.RegExp.apply(), reco::Or< bool >.apply(), reco::Less< T >.apply(), reco::LessEqual< T >.apply(), reco::More< T >.apply(), reco::MoreEqual< T >.apply(), reco::Equal< T >.apply(), npstat::ArrayND< Numeric >.apply(), npstat::ArrayND< Num1, Len1, Dim1 >.apply(), npstat::ArrayND< Numeric, StackLen, StackDim >.apply(), Config.ProcessModifier.apply(), PedeReader.setParameter(), QIE8Simulator.setParameter(), AbsElectronicODERHS.setParameter(), SiStripLorentzAngleCalibration.setParameter(), IntegratedCalibrationBase.setParameter(), SiPixelLorentzAngleCalibration.setParameter(), SiStripBackplaneCalibration.setParameter(), fit::RootMinuit< Function >.setParameter(), and ConfigToolBase.ConfigToolBase.setParameter().

    def __call__(self,process,labelName=None,postfix=None,btagPrefix=None,jetSource=None,pfCandidates=None,explicitJTA=None,pvSource=None,svSource=None,elSource=None,muSource=None,runIVF=None,tightBTagNTkHits=None,loadStdRecoBTag=None,svClustering=None,fatJets=None,groomedFatJets=None,algo=None,rParam=None,getJetMCFlavour=None,genJetCollection=None,genParticles=None,jetCorrections=None,btagDiscriminators=None,btagInfos=None,jetTrackAssociation=None,outputModules=None):
        """
        Function call wrapper. This will check the parameters and call the actual implementation that
        can be found in toolCode via the base class function apply.
        """
        if labelName is None:
            labelName=self._defaultParameters['labelName'].value
        self.setParameter('labelName', labelName)
        if postfix is None:
            postfix=self._defaultParameters['postfix'].value
        self.setParameter('postfix', postfix)
        if btagPrefix is None:
            btagPrefix=self._defaultParameters['btagPrefix'].value
        self.setParameter('btagPrefix', btagPrefix)
        if jetSource is None:
            jetSource=self._defaultParameters['jetSource'].value
        self.setParameter('jetSource', jetSource)
        if pfCandidates is None:
            pfCandidates=self._defaultParameters['pfCandidates'].value
        self.setParameter('pfCandidates', pfCandidates)
        if explicitJTA is None:
            explicitJTA=self._defaultParameters['explicitJTA'].value
        self.setParameter('explicitJTA', explicitJTA)
        if pvSource is None:
            pvSource=self._defaultParameters['pvSource'].value
        self.setParameter('pvSource', pvSource)
        if svSource is None:
            svSource=self._defaultParameters['svSource'].value
        self.setParameter('svSource', svSource)
        if elSource is None:
            elSource=self._defaultParameters['elSource'].value
        self.setParameter('elSource', elSource)
        if muSource is None:
            muSource=self._defaultParameters['muSource'].value
        self.setParameter('muSource', muSource)
        if runIVF is None:
            runIVF=self._defaultParameters['runIVF'].value
        self.setParameter('runIVF', runIVF)
        if tightBTagNTkHits is None:
            tightBTagNTkHits=self._defaultParameters['tightBTagNTkHits'].value
        self.setParameter('tightBTagNTkHits', tightBTagNTkHits)
        if loadStdRecoBTag is None:
            loadStdRecoBTag=self._defaultParameters['loadStdRecoBTag'].value
        self.setParameter('loadStdRecoBTag', loadStdRecoBTag)
        if svClustering is None:
            svClustering=self._defaultParameters['svClustering'].value
        self.setParameter('svClustering', svClustering)
        if fatJets is None:
            fatJets=self._defaultParameters['fatJets'].value
        self.setParameter('fatJets', fatJets)
        if groomedFatJets is None:
            groomedFatJets=self._defaultParameters['groomedFatJets'].value
        self.setParameter('groomedFatJets', groomedFatJets)
        if algo is None:
            algo=self._defaultParameters['algo'].value
        self.setParameter('algo', algo)
        if rParam is None:
            rParam=self._defaultParameters['rParam'].value
        self.setParameter('rParam', rParam)
        if getJetMCFlavour is None:
            getJetMCFlavour=self._defaultParameters['getJetMCFlavour'].value
        self.setParameter('getJetMCFlavour', getJetMCFlavour)
        if genJetCollection is None:
            genJetCollection=self._defaultParameters['genJetCollection'].value
        self.setParameter('genJetCollection', genJetCollection)
        if genParticles is None:
            genParticles=self._defaultParameters['genParticles'].value
        self.setParameter('genParticles', genParticles)
        if jetCorrections is None:
            jetCorrections=self._defaultParameters['jetCorrections'].value
        self.setParameter('jetCorrections', jetCorrections)
        if btagDiscriminators is None:
            btagDiscriminators=self._defaultParameters['btagDiscriminators'].value
        self.setParameter('btagDiscriminators', btagDiscriminators)
        if btagInfos is None:
            btagInfos=self._defaultParameters['btagInfos'].value
        self.setParameter('btagInfos', btagInfos)
        if jetTrackAssociation is None:
            jetTrackAssociation=self._defaultParameters['jetTrackAssociation'].value
        self.setParameter('jetTrackAssociation', jetTrackAssociation)
        if outputModules is None:
            outputModules=self._defaultParameters['outputModules'].value
        self.setParameter('outputModules', outputModules)
        self.apply(process)

def jetTools.AddJetCollection.getDefaultParameters

(

self

)

Return default parameters of the class

Definition at line 911 of file jetTools.py.

References heavyIonTools.ConfigureHeavyIons._defaultParameters, coreTools.RunOnData._defaultParameters, heavyIonTools.ProductionDefaults._defaultParameters, cmsswVersionTools.PickRelValInputFiles._defaultParameters, coreTools.RemoveMCMatching._defaultParameters, heavyIonTools.SelectionDefaults._defaultParameters, heavyIonTools.DisbaleMonteCarloDeps._defaultParameters, and jetTools.AddJetCollection._defaultParameters.

    def getDefaultParameters(self):
        """
        Return default parameters of the class
        """
        return self._defaultParameters

def jetTools.AddJetCollection.toolCode	(		self,
			process
	)

Tool code implementation

Definition at line 1002 of file jetTools.py.

References editorTools.UserCodeTool._parameters, heavyIonTools.ConfigureHeavyIons._parameters, coreTools.RunOnData._parameters, Vispa.Plugins.ConfigEditor.ConfigDataAccessor.ConfigFolder._parameters, Vispa.Plugins.ConfigEditor.ToolDataAccessor.ImportTool._parameters, heavyIonTools.ProductionDefaults._parameters, ConfigToolBase.ConfigToolBase._parameters, editorTools.ChangeSource._parameters, TAbsFitConstraint._parameters, TAbsFitParticle._parameters, cmsswVersionTools.PickRelValInputFiles._parameters, coreTools.RemoveMCMatching._parameters, heavyIonTools.SelectionDefaults._parameters, heavyIonTools.DisbaleMonteCarloDeps._parameters, jetTools.AddJetCollection._parameters, helpers.addToProcessAndTask(), jetTools.checkJetCorrectionsFormat(), helpers.getPatAlgosToolsTask(), list(), jetTools.setupBTagging(), jetTools.setupJetCorrections(), split, jetTools.undefinedLabelName(), jetTools.unsupportedJetAlgorithm(), and pileupCalc.upper.

    def toolCode(self, process):
        """
        Tool code implementation
        """
        task = getPatAlgosToolsTask(process)

        ## initialize parameters
        labelName=self._parameters['labelName'].value
        postfix=self._parameters['postfix'].value
        btagPrefix=self._parameters['btagPrefix'].value
        jetSource=self._parameters['jetSource'].value
        pfCandidates=self._parameters['pfCandidates'].value
        explicitJTA=self._parameters['explicitJTA'].value
        pvSource=self._parameters['pvSource'].value
        svSource=self._parameters['svSource'].value
        elSource=self._parameters['elSource'].value
        muSource=self._parameters['muSource'].value
        runIVF=self._parameters['runIVF'].value
        tightBTagNTkHits=self._parameters['tightBTagNTkHits'].value
        loadStdRecoBTag=self._parameters['loadStdRecoBTag'].value
        svClustering=self._parameters['svClustering'].value
        fatJets=self._parameters['fatJets'].value
        groomedFatJets=self._parameters['groomedFatJets'].value
        algo=self._parameters['algo'].value
        rParam=self._parameters['rParam'].value
        getJetMCFlavour=self._parameters['getJetMCFlavour'].value
        genJetCollection=self._parameters['genJetCollection'].value
        genParticles=self._parameters['genParticles'].value
        jetCorrections=self._parameters['jetCorrections'].value
        btagDiscriminators=list(self._parameters['btagDiscriminators'].value)
        btagInfos=list(self._parameters['btagInfos'].value)
        jetTrackAssociation=self._parameters['jetTrackAssociation'].value
        outputModules=list(self._parameters['outputModules'].value)

        ## added jets must have a defined 'labelName'
        if labelName=='UNDEFINED':
            undefinedLabelName(self)

        ## a list of all producer modules, which are already known to process
        knownModules = process.producerNames().split()
        ## determine whether btagging information is required or not
        if btagDiscriminators.count('None')>0:
            btagDiscriminators.remove('None')
        if btagInfos.count('None')>0:
            btagInfos.remove('None')
        bTagging=(len(btagDiscriminators)>0 or len(btagInfos)>0)
        ## check if any legacy btag discriminators are being used
        infos = 0
        for info in btagInfos:
            if info.startswith('pf'): infos = infos + 1
            if 'softpf' in info.lower(): infos = infos + 1
        tags = 0
        for tag in btagDiscriminators:
            if tag.startswith('pf'): tags = tags + 1
            if 'softpf' in tag.lower(): tags = tags + 1
        bTaggingLegacy=(len(btagDiscriminators)>tags or len(btagInfos)>infos)
        ## construct postfix label for auxiliary modules; this postfix
        ## label will start with a capitalized first letter following
        ## the CMS naming conventions and for improved readablility
        _labelName=labelName[:1].upper()+labelName[1:]

        ## supported algo types are ak, ca, and kt
        _algo=''
        for x in ["ak", "ca", "kt"]:
            if x in algo.lower():
                _algo=supportedJetAlgos[x]
                break
        if _algo=='':
            unsupportedJetAlgorithm(self)
        ## add new patJets to process (keep instance for later further modifications)
        from PhysicsTools.PatAlgos.producersLayer1.jetProducer_cfi import _patJets as patJets
        if 'patJets'+_labelName+postfix in knownModules :
            _newPatJets=getattr(process, 'patJets'+_labelName+postfix)
            _newPatJets.jetSource=jetSource
        else :
            addToProcessAndTask('patJets'+_labelName+postfix, patJets.clone(jetSource=jetSource), process, task)
            _newPatJets=getattr(process, 'patJets'+_labelName+postfix)
            knownModules.append('patJets'+_labelName+postfix)
        ## add new selectedPatJets to process
        from PhysicsTools.PatAlgos.selectionLayer1.jetSelector_cfi import selectedPatJets
        if 'selectedPatJets'+_labelName+postfix in knownModules :
            _newSelectedPatJets=getattr(process, 'selectedPatJets'+_labelName+postfix)
            _newSelectedPatJets.src='patJets'+_labelName+postfix
        else :
            addToProcessAndTask('selectedPatJets'+_labelName+postfix,
                                selectedPatJets.clone(src='patJets'+_labelName+postfix),
                                process, task)
            knownModules.append('selectedPatJets'+_labelName+postfix)

        ## add new patJetPartonMatch to process
        from PhysicsTools.PatAlgos.mcMatchLayer0.jetMatch_cfi import patJetPartonMatch
        if 'patJetPartonMatch'+_labelName+postfix in knownModules :
            _newPatJetPartonMatch=getattr(process, 'patJetPartonMatch'+_labelName+postfix)
            _newPatJetPartonMatch.src=jetSource
            _newPatJetPartonMatch.matched=genParticles
        else :
            addToProcessAndTask('patJetPartonMatch'+_labelName+postfix,
                                patJetPartonMatch.clone(src=jetSource, matched=genParticles),
                                process, task)
            knownModules.append('patJetPartonMatch'+_labelName+postfix)
        ## add new patJetGenJetMatch to process
        from PhysicsTools.PatAlgos.mcMatchLayer0.jetMatch_cfi import patJetGenJetMatch
        if 'patJetGenJetMatch'+_labelName+postfix in knownModules :
            _newPatJetGenJetMatch=getattr(process, 'patJetGenJetMatch'+_labelName+postfix)
            _newPatJetGenJetMatch.src=jetSource
            _newPatJetGenJetMatch.maxDeltaR=rParam
            _newPatJetGenJetMatch.matched=genJetCollection
        else :
            addToProcessAndTask('patJetGenJetMatch'+_labelName+postfix,
                                patJetGenJetMatch.clone(src=jetSource, maxDeltaR=rParam, matched=genJetCollection),
                                process, task)
            knownModules.append('patJetGenJetMatch'+_labelName+postfix)
        ## modify new patJets collection accordingly
        _newPatJets.genJetMatch.setModuleLabel('patJetGenJetMatch'+_labelName+postfix)
        _newPatJets.genPartonMatch.setModuleLabel('patJetPartonMatch'+_labelName+postfix)
        ## get jet MC truth flavour if required by user
        if (getJetMCFlavour):
            ## legacy jet flavour (see https://twiki.cern.ch/twiki/bin/view/CMSPublic/SWGuideBTagMCTools)
            ## add new patJetPartonsLegacy to process
            from PhysicsTools.PatAlgos.mcMatchLayer0.jetFlavourId_cff import patJetPartonsLegacy
            if 'patJetPartonsLegacy'+postfix not in knownModules :
                addToProcessAndTask('patJetPartonsLegacy'+postfix, patJetPartonsLegacy.clone(src=genParticles),
                                    process, task)
                knownModules.append('patJetPartonsLegacy'+postfix)
            else:
                getattr(process, 'patJetPartonsLegacy'+postfix).src=genParticles
            ## add new patJetPartonAssociationLegacy to process
            from PhysicsTools.PatAlgos.mcMatchLayer0.jetFlavourId_cff import patJetPartonAssociationLegacy
            if 'patJetPartonAssociationLegacy'+_labelName+postfix in knownModules :
                _newPatJetPartonAssociation=getattr(process, 'patJetPartonAssociationLegacy'+_labelName+postfix)
                _newPatJetPartonAssociation.jets=jetSource
            else :
                addToProcessAndTask('patJetPartonAssociationLegacy'+_labelName+postfix,
                                    patJetPartonAssociationLegacy.clone(jets=jetSource), process, task)
                knownModules.append('patJetPartonAssociationLegacy'+_labelName+postfix)
            ## add new patJetPartonAssociationLegacy to process
            from PhysicsTools.PatAlgos.mcMatchLayer0.jetFlavourId_cff import patJetFlavourAssociationLegacy
            if 'patJetFlavourAssociationLegacy'+_labelName+postfix in knownModules :
                _newPatJetFlavourAssociation=getattr(process, 'patJetFlavourAssociationLegacy'+_labelName+postfix)
                _newPatJetFlavourAssociation.srcByReference='patJetPartonAssociationLegacy'+_labelName+postfix
            else:
                addToProcessAndTask('patJetFlavourAssociationLegacy'+_labelName+postfix,
                                    patJetFlavourAssociationLegacy.clone(
                                        srcByReference='patJetPartonAssociationLegacy'+_labelName+postfix),
                                    process, task)
                knownModules.append('patJetFlavourAssociationLegacy'+_labelName+postfix)
            ## modify new patJets collection accordingly
            _newPatJets.JetPartonMapSource.setModuleLabel('patJetFlavourAssociationLegacy'+_labelName+postfix)
            ## new jet flavour (see https://twiki.cern.ch/twiki/bin/view/CMSPublic/SWGuideBTagMCTools)
            ## add new patJetPartons to process
            from PhysicsTools.PatAlgos.mcMatchLayer0.jetFlavourId_cff import patJetPartons
            if 'patJetPartons'+postfix not in knownModules :
                addToProcessAndTask('patJetPartons'+postfix, patJetPartons.clone(particles=genParticles), process, task)
                knownModules.append('patJetPartons'+postfix)
            else:
                getattr(process, 'patJetPartons'+postfix).particles=genParticles
            ## add new patJetFlavourAssociation to process
            from PhysicsTools.PatAlgos.mcMatchLayer0.jetFlavourId_cff import patJetFlavourAssociation
            if 'patJetFlavourAssociation'+_labelName+postfix in knownModules :
                _newPatJetFlavourAssociation=getattr(process, 'patJetFlavourAssociation'+_labelName+postfix)
                _newPatJetFlavourAssociation.jets=jetSource
                _newPatJetFlavourAssociation.jetAlgorithm=_algo
                _newPatJetFlavourAssociation.rParam=rParam
                _newPatJetFlavourAssociation.bHadrons=cms.InputTag("patJetPartons"+postfix,"bHadrons")
                _newPatJetFlavourAssociation.cHadrons=cms.InputTag("patJetPartons"+postfix,"cHadrons")
                _newPatJetFlavourAssociation.partons=cms.InputTag("patJetPartons"+postfix,"physicsPartons")
                _newPatJetFlavourAssociation.leptons=cms.InputTag("patJetPartons"+postfix,"leptons")
            else :
                addToProcessAndTask('patJetFlavourAssociation'+_labelName+postfix,
                                    patJetFlavourAssociation.clone(
                                        jets=jetSource,
                                        jetAlgorithm=_algo,
                                        rParam=rParam,
                                        bHadrons = cms.InputTag("patJetPartons"+postfix,"bHadrons"),
                                        cHadrons = cms.InputTag("patJetPartons"+postfix,"cHadrons"),
                                        partons = cms.InputTag("patJetPartons"+postfix,"physicsPartons"),
                                        leptons = cms.InputTag("patJetPartons"+postfix,"leptons")),
                                    process, task)

                knownModules.append('patJetFlavourAssociation'+_labelName+postfix)
            ## modify new patJets collection accordingly
            _newPatJets.JetFlavourInfoSource.setModuleLabel('patJetFlavourAssociation'+_labelName+postfix)
            ## if the jets is actually a subjet
            if fatJets != cms.InputTag('') and groomedFatJets != cms.InputTag(''):
                _newPatJetFlavourAssociation=getattr(process, 'patJetFlavourAssociation'+_labelName+postfix)
                _newPatJetFlavourAssociation.jets=fatJets
                _newPatJetFlavourAssociation.groomedJets=groomedFatJets
                _newPatJetFlavourAssociation.subjets=jetSource
                _newPatJets.JetFlavourInfoSource=cms.InputTag('patJetFlavourAssociation'+_labelName+postfix,'SubJets')
        else:
            _newPatJets.getJetMCFlavour = False

        ## add jetTrackAssociation for legacy btagging (or jetTracksAssociation only) if required by user
        if (jetTrackAssociation or bTaggingLegacy):
            ## add new jetTracksAssociationAtVertex to process
            from RecoJets.JetAssociationProducers.ak4JTA_cff import ak4JetTracksAssociatorAtVertex, ak4JetTracksAssociatorExplicit
            if 'jetTracksAssociationAtVertex'+_labelName+postfix in knownModules :
                _newJetTracksAssociationAtVertex=getattr(process, 'jetTracksAssociatorAtVertex'+_labelName+postfix)
                _newJetTracksAssociationAtVertex.jets=jetSource
                _newJetTracksAssociationAtVertex.pvSrc=pvSource
            else:
                jetTracksAssociator=ak4JetTracksAssociatorAtVertex
                if explicitJTA:
                    jetTracksAssociator=ak4JetTracksAssociatorExplicit
                addToProcessAndTask('jetTracksAssociatorAtVertex'+_labelName+postfix,
                                    jetTracksAssociator.clone(jets=jetSource,pvSrc=pvSource),
                                    process, task)
                knownModules.append('jetTracksAssociationAtVertex'+_labelName+postfix)
            ## add new patJetCharge to process
            from PhysicsTools.PatAlgos.recoLayer0.jetTracksCharge_cff import patJetCharge
            if 'patJetCharge'+_labelName+postfix in knownModules :
                _newPatJetCharge=getattr(process, 'patJetCharge'+_labelName+postfix)
                _newPatJetCharge.src='jetTracksAssociatorAtVertex'+_labelName+postfix
            else:
                addToProcessAndTask('patJetCharge'+_labelName+postfix,
                                    patJetCharge.clone(src = 'jetTracksAssociatorAtVertex'+_labelName+postfix),
                                    process, task)
                knownModules.append('patJetCharge'+_labelName+postfix)
            ## modify new patJets collection accordingly
            _newPatJets.addAssociatedTracks=True
            _newPatJets.trackAssociationSource=cms.InputTag('jetTracksAssociatorAtVertex'+_labelName+postfix)
            _newPatJets.addJetCharge=True
            _newPatJets.jetChargeSource=cms.InputTag('patJetCharge'+_labelName+postfix)
        else:
            ## modify new patJets collection accordingly
            _newPatJets.addAssociatedTracks=False
            _newPatJets.trackAssociationSource=''
            _newPatJets.addJetCharge=False
            _newPatJets.jetChargeSource=''
        ## run btagging if required by user
        if (bTagging):
            setupBTagging(process, jetSource, pfCandidates, explicitJTA, pvSource, svSource, elSource, muSource, runIVF, tightBTagNTkHits, loadStdRecoBTag, svClustering, fatJets, groomedFatJets,
                          _algo, rParam, btagDiscriminators, btagInfos, _newPatJets, _labelName, btagPrefix, postfix)
        else:
            _newPatJets.addBTagInfo = False
            _newPatJets.addTagInfos = False
            ## adjust output module; these collections will be empty anyhow, but we do it to stay clean
            for outputModule in outputModules:
                    if hasattr(process,outputModule):
                        getattr(process,outputModule).outputCommands.append("drop *_"+'selected'+_labelName+postfix+"_tagInfos_*")

        ## add jet correction factors if required by user
        if (jetCorrections != None):
            ## check the jet corrections format
            checkJetCorrectionsFormat(jetCorrections)
            ## setup jet energy corrections and MET corrections
            setupJetCorrections(process, knownModules, jetCorrections, jetSource, pvSource, _newPatJets, _labelName, postfix)
        else:
            ## switch jetCorrFactors off
            _newPatJets.addJetCorrFactors=False

addJetCollection=AddJetCollection()

Member Data Documentation

jetTools.AddJetCollection._comment

private

add comments

Definition at line 907 of file jetTools.py.

jetTools.AddJetCollection._defaultParameters

staticprivate

Definition at line 852 of file jetTools.py.

Referenced by HiCoreTools.RestrictInputToAOD.__call__(), trackTools.MakeAODTrackCandidates.__call__(), runJetUncertainties.RunJetUncertainties.__call__(), metTools.AddMETCollection.__call__(), editorTools.ChangeSource.__call__(), HiCoreTools.RemoveMCMatching.__call__(), trackTools.MakePATTrackCandidates.__call__(), trigTools.SwitchOnTrigger.__call__(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.__call__(), HiCoreTools.RemoveAllPATObjectsBut.__call__(), HiCoreTools.RemoveSpecificPATObjects.__call__(), trigTools.SwitchOnTriggerStandAlone.__call__(), trackTools.MakeTrackCandidates.__call__(), tauTools.AddTauCollection.__call__(), trigTools.SwitchOnTriggerMatching.__call__(), HiCoreTools.RemoveCleaning.__call__(), HiCoreTools.AddCleaning.__call__(), trigTools.SwitchOnTriggerMatchingStandAlone.__call__(), trigTools.SwitchOnTriggerMatchEmbedding.__call__(), jetTools.AddJetCollection.__call__(), jetTools.SwitchJetCollection.__call__(), jetTools.UpdateJetCollection.__call__(), jetTools.AddJetID.__call__(), jetTools.SetTagInfos.__call__(), editorTools.UserCodeTool.__init__(), metTools.AddMETCollection.__init__(), trackTools.MakeAODTrackCandidates.__init__(), HiCoreTools.RestrictInputToAOD.__init__(), runJetUncertainties.RunJetUncertainties.__init__(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.__init__(), Vispa.Plugins.ConfigEditor.ToolDataAccessor.ImportTool.__init__(), editorTools.ChangeSource.__init__(), HiCoreTools.RemoveMCMatching.__init__(), trackTools.MakePATTrackCandidates.__init__(), trigTools.SwitchOnTrigger.__init__(), HiCoreTools.RemoveAllPATObjectsBut.__init__(), HiCoreTools.RemoveSpecificPATObjects.__init__(), trigTools.SwitchOnTriggerStandAlone.__init__(), trackTools.MakeTrackCandidates.__init__(), tauTools.AddTauCollection.__init__(), trigTools.SwitchOnTriggerMatching.__init__(), HiCoreTools.RemoveCleaning.__init__(), HiCoreTools.AddCleaning.__init__(), trigTools.SwitchOnTriggerMatchingStandAlone.__init__(), trigTools.SwitchOnTriggerMatchEmbedding.__init__(), jetTools.AddJetCollection.__init__(), jetTools.SwitchJetCollection.__init__(), jetTools.UpdateJetCollection.__init__(), jetTools.AddJetID.__init__(), jetTools.SetTagInfos.__init__(), ConfigToolBase.ConfigToolBase.dumpPython(), ConfigToolBase.ConfigToolBase.getAllowedValues(), HiCoreTools.RestrictInputToAOD.getDefaultParameters(), trackTools.MakeAODTrackCandidates.getDefaultParameters(), metTools.AddMETCollection.getDefaultParameters(), editorTools.ChangeSource.getDefaultParameters(), HiCoreTools.RemoveMCMatching.getDefaultParameters(), trackTools.MakePATTrackCandidates.getDefaultParameters(), trigTools.SwitchOnTrigger.getDefaultParameters(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.getDefaultParameters(), HiCoreTools.RemoveAllPATObjectsBut.getDefaultParameters(), HiCoreTools.RemoveSpecificPATObjects.getDefaultParameters(), trigTools.SwitchOnTriggerStandAlone.getDefaultParameters(), trackTools.MakeTrackCandidates.getDefaultParameters(), tauTools.AddTauCollection.getDefaultParameters(), trigTools.SwitchOnTriggerMatching.getDefaultParameters(), HiCoreTools.RemoveCleaning.getDefaultParameters(), HiCoreTools.AddCleaning.getDefaultParameters(), trigTools.SwitchOnTriggerMatchingStandAlone.getDefaultParameters(), trigTools.SwitchOnTriggerMatchEmbedding.getDefaultParameters(), jetTools.AddJetCollection.getDefaultParameters(), jetTools.SwitchJetCollection.getDefaultParameters(), jetTools.UpdateJetCollection.getDefaultParameters(), jetTools.AddJetID.getDefaultParameters(), jetTools.SetTagInfos.getDefaultParameters(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.initializeInputTag(), ConfigToolBase.ConfigToolBase.reset(), and ConfigToolBase.ConfigToolBase.setParameter().

jetTools.AddJetCollection._label

staticprivate

Definition at line 851 of file jetTools.py.

Referenced by validation.SimpleSample.digest(), ConfigToolBase.ConfigToolBase.dumpPython(), validation.SimpleSample.label(), trigTools.SwitchOnTrigger.toolCode(), trigTools.SwitchOnTriggerStandAlone.toolCode(), trigTools.SwitchOnTriggerMatching.toolCode(), trigTools.SwitchOnTriggerMatchingStandAlone.toolCode(), and trigTools.SwitchOnTriggerMatchEmbedding.toolCode().

jetTools.AddJetCollection._parameters

private

initialization of the base class

add all parameters that should be known to the class set defaults

Definition at line 905 of file jetTools.py.

Referenced by runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.__call__(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.ak4JetReclustering(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.createMVAMETModule(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.createSmearedJetModule(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.extractMET(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.getCorrectedMET(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.getMETUncertainties(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.getUnclusteredVariationsForMVAMET(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.getVariations(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.jetCleaning(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.jetConfiguration(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.miniAODConfiguration(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.miniAODConfigurationPost(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.recomputeRawMetFromPfcs(), HiCoreTools.RestrictInputToAOD.toolCode(), trackTools.MakeAODTrackCandidates.toolCode(), metTools.AddMETCollection.toolCode(), runJetUncertainties.RunJetUncertainties.toolCode(), HiCoreTools.RemoveMCMatching.toolCode(), trigTools.SwitchOnTrigger.toolCode(), trackTools.MakePATTrackCandidates.toolCode(), HiCoreTools.RemoveAllPATObjectsBut.toolCode(), HiCoreTools.RemoveSpecificPATObjects.toolCode(), trigTools.SwitchOnTriggerStandAlone.toolCode(), runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.toolCode(), trackTools.MakeTrackCandidates.toolCode(), tauTools.AddTauCollection.toolCode(), HiCoreTools.RemoveCleaning.toolCode(), trigTools.SwitchOnTriggerMatching.toolCode(), HiCoreTools.AddCleaning.toolCode(), trigTools.SwitchOnTriggerMatchingStandAlone.toolCode(), trigTools.SwitchOnTriggerMatchEmbedding.toolCode(), jetTools.AddJetCollection.toolCode(), jetTools.SwitchJetCollection.toolCode(), jetTools.UpdateJetCollection.toolCode(), jetTools.AddJetID.toolCode(), jetTools.SetTagInfos.toolCode(), and runMETCorrectionsAndUncertainties.RunMETCorrectionsAndUncertainties.updateJECs().