PerformanceCurvePlotter.TauValidationInfo Class Reference

Public Member Functions
def	__init__
def	BuildFullPathForDiscriminator
def	BuildTGraphSummary
def	ComputeEfficiencies
def	LoadHistograms
def	RebinHistogram

Public Attributes
	BackgroundFile
	Denominator
	DiscriminatorPoints
	InfoDictionary
	Label
	SignalFile
	SummaryTGraph
	ValidationProducer

Static Public Attributes
int	DiscriminatorBackground = 0
tuple	DiscriminatorLegend = TLegend(0.15, 0.6, 0.5, 0.92)
dictionary	DiscriminatorToMarkerStyleDict = {}
int	StaticMarkerStyleIterator = 20
int	StaticSummaryLineColorIterator = 2
int	StupidRootStupidNameCounter = 0
int	SummaryBackground = 0
tuple	SummaryLegend = TLegend(0.6, 0.3, 0.9, 0.4)

Detailed Description

Atomic object to hold information about where files are located, which discriminants to plot 

Definition at line 66 of file PerformanceCurvePlotter.py.

Constructor & Destructor Documentation

def PerformanceCurvePlotter.TauValidationInfo.__init__	(		self,
			SignalFile,
			BackgroundFile,
			Label,
			ValidationProducer
	)

Definition at line 79 of file PerformanceCurvePlotter.py.

   def __init__(self, SignalFile, BackgroundFile, Label, ValidationProducer):
      self.Label = Label
      self.SignalFile = TFile.Open(SignalFile)
      self.BackgroundFile = TFile.Open(BackgroundFile)
      self.ValidationProducer = ValidationProducer
      self.InfoDictionary      = { 'producer' : self.ValidationProducer.TauProducer.value(),
                                   'label'    : self.ValidationProducer.ExtensionName.value(),
                                   'var'      : KinematicVar }

      # Store each discriminator as a point.  Initally, retrieve the names. Each discriminator will eventual be a tuple holding the effs/fake rates etc
      self.DiscriminatorPoints = [ {'name' : DiscInfo.discriminator.value().replace(self.InfoDictionary['producer'].replace('Producer', ''), '').replace('Discrimination', ''), 
                                    'loc'  : self.BuildFullPathForDiscriminator(DiscInfo.discriminator.value()) } for DiscInfo in ValidationProducer.discriminators.value() ]
      if HideMuonAndElectronRej:
         NewPoints = []
         for aPoint in self.DiscriminatorPoints:
            if aPoint['name'].find("Electron") == -1 and aPoint['name'].find("Muon") == -1:
               NewPoints.append(aPoint)
         self.DiscriminatorPoints = NewPoints
               
      # Add denominator info
      self.Denominator         =  {'loc'  : "DQMData/RecoTauV/%(producer)s%(label)s_ReferenceCollection/nRef_Taus_vs_%(var)sTauVisible" % self.InfoDictionary }