python.TauAnalysisConfig Namespace Reference

Classes
class	EXPERIMENTAL_TauCombineMuonRemovalConfig
class	TauCalibrationConfig
class	TauTriggerAnalysisSFBlock
class	TauWorkingPointConfig

Functions
def	EXPERIMENTAL_makeTauCombineMuonRemovalConfig (seq, inputTaus='TauJets', inputTausMuRM='TauJets_MuonRM', outputTaus='TauJets_MuonRmCombined', postfix='')
def	makeTauCalibrationConfig (seq, containerName, inputContainer='TauJets', postfix=None, rerunTruthMatching=None)
def	makeTauWorkingPointConfig (seq, containerName, workingPoint, selectionName, noEffSF=None)

Function Documentation

EXPERIMENTAL_makeTauCombineMuonRemovalConfig()

def python.TauAnalysisConfig.EXPERIMENTAL_makeTauCombineMuonRemovalConfig	(		seq,
			inputTaus = 'TauJets',
			inputTausMuRM = 'TauJets_MuonRM',
			outputTaus = 'TauJets_MuonRmCombined',
			postfix = ''
	)

Definition at line 288 of file TauAnalysisConfig.py.

def EXPERIMENTAL_makeTauCombineMuonRemovalConfig( seq, inputTaus = 'TauJets',
                                                 inputTausMuRM = 'TauJets_MuonRM',
                                                 outputTaus = 'TauJets_MuonRmCombined',
                                                 postfix = ''):
    config = EXPERIMENTAL_TauCombineMuonRemovalConfig (
        inputTaus = inputTaus,
        inputTausMuRM = inputTausMuRM,
        outputTaus = outputTaus,
        postfix = postfix,
    )
    seq.append (config)
 
 

makeTauCalibrationConfig()

def python.TauAnalysisConfig.makeTauCalibrationConfig	(		seq,
			containerName,
			inputContainer = 'TauJets',
			postfix = None,
			rerunTruthMatching = None
	)

Create tau calibration analysis algorithms

This makes all the algorithms that need to be run first befor
all working point specific algorithms and that can be shared
between the working points.

Keyword arguments:
  postfix -- a postfix to apply to decorations and algorithm
             names.  this is mostly used/needed when using this
             sequence with multiple working points to ensure all
             names are unique.
  rerunTruthMatching -- Whether or not to rerun truth matching

Definition at line 301 of file TauAnalysisConfig.py.

def makeTauCalibrationConfig( seq, containerName, inputContainer='TauJets',
                              postfix = None, rerunTruthMatching = None):
    """Create tau calibration analysis algorithms
 
    This makes all the algorithms that need to be run first befor
    all working point specific algorithms and that can be shared
    between the working points.
 
    Keyword arguments:
      postfix -- a postfix to apply to decorations and algorithm
                 names.  this is mostly used/needed when using this
                 sequence with multiple working points to ensure all
                 names are unique.
      rerunTruthMatching -- Whether or not to rerun truth matching
    """
 
    config = TauCalibrationConfig (containerName)
    config.setOptionValue ('inputContainer', inputContainer)
    if postfix is not None :
        config.setOptionValue ('postfix', postfix)
    if rerunTruthMatching is not None :
        config.setOptionValue ('rerunTruthMatching', rerunTruthMatching)
    seq.append (config)
 
 
 
 
 

makeTauWorkingPointConfig()

def python.TauAnalysisConfig.makeTauWorkingPointConfig	(		seq,
			containerName,
			workingPoint,
			selectionName,
			noEffSF = None
	)

Create tau analysis algorithms for a single working point

Keyword arguments:
  selectionName -- a postfix to apply to decorations and algorithm
             names.  this is mostly used/needed when using this
             sequence with multiple working points to ensure all
             names are unique.
  noEffSF -- Disables the calculation of efficiencies and scale factors

Definition at line 329 of file TauAnalysisConfig.py.

def makeTauWorkingPointConfig( seq, containerName, workingPoint, selectionName,
                               noEffSF = None ):
    """Create tau analysis algorithms for a single working point
 
    Keyword arguments:
      selectionName -- a postfix to apply to decorations and algorithm
                 names.  this is mostly used/needed when using this
                 sequence with multiple working points to ensure all
                 names are unique.
      noEffSF -- Disables the calculation of efficiencies and scale factors
    """
 
    config = TauWorkingPointConfig (containerName, selectionName)
    if workingPoint is not None :
        splitWP = workingPoint.split ('.')
        if len (splitWP) != 1 :
            raise ValueError ('working point should be of format "quality", not ' + workingPoint)
        config.setOptionValue ('quality', splitWP[0])
    config.setOptionValue ('noEffSF', noEffSF)
    seq.append (config)