python.DiTauAnalysisConfig.DiTauCalibrationConfig Class Reference

Inheritance diagram for python.DiTauAnalysisConfig.DiTauCalibrationConfig:

Collaboration diagram for python.DiTauAnalysisConfig.DiTauCalibrationConfig:

Public Member Functions
def	__init__ (self)
def	instanceName (self)
def	makeAlgs (self, config)

Detailed Description

the ConfigBlock for the tau four-momentum correction

Definition at line 8 of file DiTauAnalysisConfig.py.

Constructor & Destructor Documentation

__init__()

def python.DiTauAnalysisConfig.DiTauCalibrationConfig.__init__

(

self

)

Definition at line 11 of file DiTauAnalysisConfig.py.

    def __init__ (self) :
        super (DiTauCalibrationConfig, self).__init__ ()
        self.setBlockName('DiTaus')
        self.addOption ('inputContainer', '', type=str,
            info="select ditau input container, by default set to DiTauJets")
        self.addOption ('containerName', '', type=str,
            noneAction='error',
            info="the name of the output container after calibration.")
        self.addOption ('postfix', '', type=str,
            info="a postfix to apply to decorations and algorithm names. "
            "Typically not needed here since the calibration is common to "
            "all ditaus.")
        self.addOption ('rerunTruthMatching', True, type=bool,
            info="whether to rerun truth matching (sets up an instance of "
            "CP::DiTauTruthMatchingAlg). The default is True.")
        self.addOption ('decorateTruth', False, type=bool,
            info="decorate truth particle information on the reconstructed one")
        self.addOption ('decorateExtraVariables', True, type=bool,
            info="decorate extra variables for the reconstructed ditau")    
 

Member Function Documentation

instanceName()

def python.DiTauAnalysisConfig.DiTauCalibrationConfig.instanceName

(

self

)

Return the instance name for this block

Definition at line 31 of file DiTauAnalysisConfig.py.

    def instanceName (self) :
        """Return the instance name for this block"""
        return self.containerName + self.postfix
 

makeAlgs()

def python.DiTauAnalysisConfig.DiTauCalibrationConfig.makeAlgs	(		self,
			config
	)

Definition at line 35 of file DiTauAnalysisConfig.py.

    def makeAlgs (self, config) :
 
        postfix = self.postfix
        if postfix != '' and postfix[0] != '_' :
            postfix = '_' + postfix
 
        inputContainer = "DiTauJets"
        if self.inputContainer:
            inputContainer = self.inputContainer
        config.setSourceName (self.containerName, inputContainer)
 
        # Set up the tau truth matching algorithm:
        if self.rerunTruthMatching and config.dataType() is not DataType.Data:
            alg = config.createAlgorithm( 'CP::DiTauTruthMatchingAlg',
                                   'DiTauTruthMatchingAlg' )
            config.addPrivateTool( 'matchingTool',
                            'TauAnalysisTools::DiTauTruthMatchingTool' )
            alg.taus = config.readName (self.containerName)
            alg.preselection = config.getPreselection (self.containerName, '')
 
       
        # decorate truth tau information on the reconstructed object:
        if self.decorateTruth and self.rerunTruthMatching and config.dataType() is not DataType.Data:
            # in the case of the ditau, the DiTauTruthMatchingTool decorates directly the reco ditau with truth information.
            # So information can be written directly out without any additional algorithm 
            config.addOutputVar (self.containerName, 'TruthVisLeadPt', 'TruthVisLeadPt', noSys=True) 
            config.addOutputVar (self.containerName, 'TruthVisLeadEta', 'TruthVisLeadEta', noSys=True) 
            config.addOutputVar (self.containerName, 'TruthVisLeadPhi', 'TruthVisLeadPhi', noSys=True)
            config.addOutputVar (self.containerName, 'TruthVisLeadM', 'TruthVisLeadM', noSys=True)
            config.addOutputVar (self.containerName, 'TruthLeadPdgID', 'TruthLeadPdgID', noSys=True)
            config.addOutputVar (self.containerName, 'TruthVisSubleadPt', 'TruthVisSubleadPt', noSys=True)
            config.addOutputVar (self.containerName, 'TruthVisSubleadEta', 'TruthVisSubleadEta', noSys=True)
            config.addOutputVar (self.containerName, 'TruthVisSubleadPhi', 'TruthVisSubleadPhi', noSys=True)
            config.addOutputVar (self.containerName, 'TruthVisSubleadM', 'TruthVisSubleadM', noSys=True)
            config.addOutputVar (self.containerName, 'TruthSubleadPdgID', 'TruthSubleadPdgID', noSys=True)
            config.addOutputVar (self.containerName, 'TruthVisDeltaR', 'TruthVisDeltaR', noSys=True)
            config.addOutputVar (self.containerName, 'TruthVisMass', 'TruthVisMass', noSys=True)
            config.addOutputVar (self.containerName, 'IsTruthMatched', 'IsTruthMatched', noSys=True)
            config.addOutputVar (self.containerName, 'IsTruthHadronic', 'IsTruthHadronic', noSys=True)
 
        # Decorate extra variables
        if self.decorateExtraVariables:
           alg = config.createAlgorithm( 'CP::DiTauExtraVariablesAlg',
                                         'DiTauExtraVariablesAlg',
                                         reentrant=True )
           alg.ditaus = config.readName (self.containerName)
           config.addOutputVar (self.containerName, 'leadSubjetPt', 'leadSubjetPt', noSys=True)
           config.addOutputVar (self.containerName, 'leadSubjetEta', 'leadSubjetEta', noSys=True)
           config.addOutputVar (self.containerName, 'leadSubjetPhi', 'leadSubjetPhi', noSys=True)
           config.addOutputVar (self.containerName, 'leadSubjetE', 'leadSubjetE', noSys=True)
           config.addOutputVar (self.containerName, 'subleadSubjetPt', 'subleadSubjetPt', noSys=True)
           config.addOutputVar (self.containerName, 'subleadSubjetEta', 'subleadSubjetEta', noSys=True)
           config.addOutputVar (self.containerName, 'subleadSubjetPhi', 'subleadSubjetPhi', noSys=True)
           config.addOutputVar (self.containerName, 'subleadSubjetE', 'subleadSubjetE', noSys=True)
 
        # Set up the tau 4-momentum smearing algorithm:
        alg = config.createAlgorithm( 'CP::DiTauSmearingAlg', 'DiTauSmearingAlg' )
        config.addPrivateTool( 'smearingTool', 'TauAnalysisTools::DiTauSmearingTool' )
        alg.taus = config.readName (self.containerName)
        alg.tausOut = config.copyName (self.containerName)
        alg.preselection = config.getPreselection (self.containerName, '')
 
        # Save base kinematic ditau variables in output
        config.addOutputVar (self.containerName, 'pt', 'pt')
        config.addOutputVar (self.containerName, 'eta', 'eta', noSys=True)
        config.addOutputVar (self.containerName, 'phi', 'phi', noSys=True)
        config.addOutputVar (self.containerName, 'm', 'm', noSys=True)
 
 
 

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The documentation for this class was generated from the following file:

• DiTauAnalysisConfig.py