Inheritance diagram for MakePlots:

Public Member Functions
	set_descr (self, h, D)

	initialize (self)

	event (self)

	terminate (self)

Public Attributes
	tfile = TFile.Open("bunchFinder.root", "recreate")
	root file pointer

	recBunchNo
	validation histogram

	offset
	validation histogram

	numTracks
	validation histogram

	usedTracks
	validation histogram

	effi_numTracks
	validation histogram

	effi_usedTracks
	validation histogram

	effi = TH1F("effi", "Acceptance and efficiency", 2, 0.5, 2.5)
	validation histogram

int	nev = 0
	number of events with valid TOPRecBunch object pointer

Detailed Description

Makes validation histograms for bunch finder

Definition at line 26 of file 3_bunchFinderPlots.py.

Member Function Documentation

◆ event()

event ( self )

 Event processor: fill histograms

Definition at line 100 of file 3_bunchFinderPlots.py.

    def event(self):
 
        ''' Event processor: fill histograms '''
 
        recBunch = Belle2.PyStoreObj('TOPRecBunch')
        if not recBunch.isValid():
            return
        self.nev += 1
        if recBunch.isReconstructed():
            self.recBunchNo.Fill(recBunch.getBunchNo())
            self.offset.Fill(recBunch.getCurrentOffset())
            self.numTracks.Fill(recBunch.getNumTracks())
            self.usedTracks.Fill(recBunch.getUsedTracks())
            if recBunch.getBunchNo() == recBunch.getMCBunchNo():
                self.effi_numTracks.Fill(recBunch.getNumTracks())
                self.effi_usedTracks.Fill(recBunch.getUsedTracks())
 

◆ initialize()

initialize ( self )

 Initializes the Module: book histograms and set descriptions and checks

Definition at line 44 of file 3_bunchFinderPlots.py.

    def initialize(self):
        ''' Initializes the Module: book histograms and set descriptions and checks'''
 
        
        self.tfile = TFile.Open("bunchFinder.root", "recreate")
 
        
        self.recBunchNo = TH1F("recBunchNo",
                               "Reconstructed relative bunch number; relative bunch number; events per bunch",
                               100, -50.0 - 0.5, 50.0 - 0.5)
        self.set_descr(self.recBunchNo, 'Reconstructed bunch number relative to L1 trigger.')
 
        
        self.offset = TH1F("offset",
                           "Offset to reconstructed bunch; offset [ns]; events per bin",
                           100, -1.0, 1.0)
        self.set_descr(self.offset, 'Offset to reconstructed bunch.')
 
        
        self.numTracks = TH1F("numTracks",
                              "Number of tracks in TOP acceptance; number of tracks; entries per bin",
                              10, 0.5, 10.5)
        self.set_descr(self.numTracks, 'Number of tracks per event in the acceptance of TOP.')
 
        
        self.usedTracks = TH1F("usedTracks",
                               "Number of tracks used for bunch finding; number of used track; entries per bins",
                               10, 0.5, 10.5)
        self.set_descr(self.usedTracks, 'Number of tracks in the event actually used for finding the bunch crossing.')
 
        
        self.effi_numTracks = TH1F("effi_numTracks",
                                   "Efficiency vs. number of tracks; number of tracks; efficiency",
                                   10, 0.5, 10.5)
        self.set_descr(self.effi_numTracks, 'Efficieny of finding the correct bunch crossing versus '
                       'the number of tracks per event in the acceptance of TOP.')
 
        
        self.effi_usedTracks = TH1F("effi_usedTracks",
                                    "Efficiency vs. number of used tracks; number of used tracks; efficiency",
                                    10, 0.5, 10.5)
        self.set_descr(self.effi_usedTracks, 'Efficieny of finding the correct bunch crossing versus '
                       'the number of tracks per event actually used.')
 
        
        self.effi = TH1F("effi", "Acceptance and efficiency", 2, 0.5, 2.5)
        self.effi.GetXaxis().SetBinLabel(1, "acceptance")
        self.effi.GetXaxis().SetBinLabel(2, "efficiency")
        self.effi.GetXaxis().SetLabelSize(0.08)
        self.effi.GetXaxis().SetAlphanumeric()
        self.set_descr(self.effi, 'Acceptance is defined as fraction of events with at least one track crossing TOP. '
                       'Efficiency is defined as fraction of correctly reconstructed bunch crossings in accepted events.')
 
        
        self.nev = 0
 

◆ set_descr()

set_descr	(	self,
		h,
		D )

Sets description, check and contact to validation histogram.
:param h validation histogram
:param D description text

Definition at line 31 of file 3_bunchFinderPlots.py.

    def set_descr(self, h, D):
        '''
        Sets description, check and contact to validation histogram.
        :param h validation histogram
        :param D description text
        '''
        descr = TNamed('Description', D)
        h.GetListOfFunctions().Add(descr)
        check = TNamed('Check', 'Must agree with reference')
        h.GetListOfFunctions().Add(check)
        contact = TNamed('Contact', 'marko.staric@ijs.si')
        h.GetListOfFunctions().Add(contact)
 

◆ terminate()

terminate ( self )

 Processes and writes histograms to file

Definition at line 117 of file 3_bunchFinderPlots.py.

    def terminate(self):
        ''' Processes and writes histograms to file'''
 
        eff = self.numTracks.GetEntries() / self.nev
        err = math.sqrt(eff * (1 - eff) / self.nev)
        self.effi.SetBinContent(1, eff)
        self.effi.SetBinError(1, err)
 
        eff = self.effi_numTracks.GetEntries() / self.numTracks.GetEntries()
        err = math.sqrt(eff * (1 - eff) / self.numTracks.GetEntries())
        self.effi.SetBinContent(2, eff)
        self.effi.SetBinError(2, err)
 
        self.numTracks.Sumw2()
        self.effi_numTracks.Sumw2()
        self.effi_numTracks.Divide(self.effi_numTracks, self.numTracks, 1, 1, "B")
 
        self.usedTracks.Sumw2()
        self.effi_usedTracks.Sumw2()
        self.effi_usedTracks.Divide(self.effi_usedTracks, self.usedTracks, 1, 1, "B")
 
        self.tfile.Write()
        self.tfile.Close()
 
 
# Create path

Member Data Documentation

◆ effi

effi = TH1F("effi", "Acceptance and efficiency", 2, 0.5, 2.5)

validation histogram

Definition at line 89 of file 3_bunchFinderPlots.py.

◆ effi_numTracks

effi_numTracks

Initial value:

=  TH1F("effi_numTracks",
                                   "Efficiency vs. number of tracks; number of tracks; efficiency",
                                   10, 0.5, 10.5)

validation histogram

Definition at line 75 of file 3_bunchFinderPlots.py.

◆ effi_usedTracks

effi_usedTracks

Initial value:

=  TH1F("effi_usedTracks",
                                    "Efficiency vs. number of used tracks; number of used tracks; efficiency",
                                    10, 0.5, 10.5)

validation histogram

Definition at line 82 of file 3_bunchFinderPlots.py.

◆ nev

int nev = 0

number of events with valid TOPRecBunch object pointer

Definition at line 98 of file 3_bunchFinderPlots.py.

◆ numTracks

numTracks

Initial value:

=  TH1F("numTracks",
                              "Number of tracks in TOP acceptance; number of tracks; entries per bin",
                              10, 0.5, 10.5)

validation histogram

Definition at line 63 of file 3_bunchFinderPlots.py.

◆ offset

offset

Initial value:

=  TH1F("offset",
                           "Offset to reconstructed bunch; offset [ns]; events per bin",
                           100, -1.0, 1.0)

validation histogram

Definition at line 57 of file 3_bunchFinderPlots.py.

◆ recBunchNo

recBunchNo

Initial value:

=  TH1F("recBunchNo",
                               "Reconstructed relative bunch number; relative bunch number; events per bunch",
                               100, -50.0 - 0.5, 50.0 - 0.5)

validation histogram

Definition at line 51 of file 3_bunchFinderPlots.py.

◆ tfile

tfile = TFile.Open("bunchFinder.root", "recreate")

root file pointer

Definition at line 48 of file 3_bunchFinderPlots.py.

◆ usedTracks

usedTracks

Initial value:

=  TH1F("usedTracks",
                               "Number of tracks used for bunch finding; number of used track; entries per bins",
                               10, 0.5, 10.5)

validation histogram

Definition at line 69 of file 3_bunchFinderPlots.py.

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

top/validation/3_bunchFinderPlots.py

Public Member Functions

Public Attributes

Detailed Description

Member Function Documentation

◆ event()

◆ initialize()

◆ set_descr()

◆ terminate()

Member Data Documentation

◆ effi

◆ effi_numTracks

◆ effi_usedTracks

◆ nev

◆ numTracks

◆ offset

◆ recBunchNo

◆ tfile

◆ usedTracks