Inheritance diagram for python.XbbAnalysisConfig.XbbConfig:

Collaboration diagram for python.XbbAnalysisConfig.XbbConfig:

Public Member Functions
def	__init__ (self)

def	instanceName (self)

def	makeAlgs (self, config)

Detailed Description

the ConfigBlock for the Xbb tagging config

Definition at line 6 of file XbbAnalysisConfig.py.

Constructor & Destructor Documentation

◆ init()

def python.XbbAnalysisConfig.XbbConfig.__init__ ( self )

Definition at line 8 of file XbbAnalysisConfig.py.

     def __init__ (self):
         super (XbbConfig, self).__init__ ()
         self.setBlockName('Xbb')
         self.addOption ('containerName', '', type=str,
                         noneAction='error',
                         info="the name of the input container.")
         self.addOption('XbbWP', 'FlatMassQCDEff_0p25', type=str,
                        info="the Xbb tagging WP." )
         self.addOption('Xbbtagger', 'GN2Xv01', type=str,
                        info="the Xbb tagger: GN2Xv01. The default is GN2Xv01")
         self.addOption('calibFile', None, type=str,
                        info="the calibration json file")
         self.addOption('noEffSF', False, type=bool,
                        info="do not apply the eff SF")
  

Member Function Documentation

◆ instanceName()

def python.XbbAnalysisConfig.XbbConfig.instanceName ( self )

Return the instance name for this block

Definition at line 23 of file XbbAnalysisConfig.py.

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

◆ makeAlgs()

def python.XbbAnalysisConfig.XbbConfig.makeAlgs	(	self,
		config
	)

Definition at line 27 of file XbbAnalysisConfig.py.

     def makeAlgs(self, config):
  
         jetContainer = config.originalName(self.containerName)
         selectionName = f'{self.Xbbtagger}_{self.XbbWP}'
  
         alg = config.createAlgorithm( 'CP::XbbInformationDecoratorAlg', 'XbbInfoAlg' )
         config.addPrivateTool('selectionTool', 'BTaggingSelectionJsonTool' )
         alg.selectionTool.MaxEta = 4.5
         alg.selectionTool.MinPt = 0.
         alg.selectionTool.TaggerName = self.Xbbtagger
         alg.selectionTool.JetAuthor = jetContainer
         alg.selectionTool.OperatingPoint = self.XbbWP
         alg.selectionTool.JsonConfigFile = self.calibFile
         alg.preselection = config.getPreselection (self.containerName, '')
  
         alg.taggerDecisionDecoration = 'xbb_select_' + selectionName
         alg.jets = config.readName (self.containerName)
         config.addOutputVar (self.containerName, 'xbb_select_' + selectionName, selectionName + '_select', noSys=True)
  
         if not self.noEffSF and config.dataType() != DataType.Data:
             alg = config.createAlgorithm( 'CP::XbbEfficiencyAlg',
                                          'XbbSFAlg' )
             config.addPrivateTool('efficiencyTool', 'BTaggingEfficiencyJsonTool' )
             alg.efficiencyTool.MaxEta = 4.5
             alg.efficiencyTool.MinPt = 0.
             alg.efficiencyTool.TaggerName = self.Xbbtagger
             alg.efficiencyTool.JetAuthor = jetContainer
             alg.efficiencyTool.OperatingPoint = self.XbbWP
             alg.efficiencyTool.JsonConfigFile = self.calibFile
             alg.preselection = config.getPreselection (self.containerName, '')
  
             alg.scaleFactorDecoration = 'xbb_effSF_' + selectionName + '_%SYS%'
             alg.jets = config.readName (self.containerName)
             config.addOutputVar (self.containerName, alg.scaleFactorDecoration, selectionName + '_effSF')

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

XbbAnalysisConfig.py