TestTreeFits Class Reference

Inheritance diagram for TestTreeFits:

Collaboration diagram for TestTreeFits:

Public Member Functions
def	testFit (self)

Detailed Description

The unit test case for TreeFitter

Definition at line 20 of file treeFit.py.

Member Function Documentation

testFit()

def testFit

(

self

)

Run the test fit

Definition at line 23 of file treeFit.py.

    def testFit(self):
        """Run the test fit"""
 
        testFile = tempfile.NamedTemporaryFile()
 
        # we want to use the latest grated globaltag, not the old one from the
        # file
        basf2.conditions.disable_globaltag_replay()
 
        main = basf2.create_path()
 
        ma.inputMdst('default', b2test_utils.require_file('analysis/tests/100_noBKG_B0ToPiPiPi0.root'), path=main)
 
        ma.fillParticleList('pi+:a', 'pionID > 0.5', path=main)
 
        ma.fillParticleList('gamma:a', '', path=main)
        ma.reconstructDecay('pi0:a -> gamma:a gamma:a', '0.125 < InvM < 0.145', 0, path=main)
 
        ma.reconstructDecay('B0:rec -> pi-:a pi+:a pi0:a', '', 0, path=main)
        ma.matchMCTruth('B0:rec', path=main)
 
        treeFit('B0:rec', conf_level=-1, ipConstraint=False, updateAllDaughters=True, path=main)
 
        ntupler = basf2.register_module('VariablesToNtuple')
        ntupler.param('fileName', testFile.name)
        ntupler.param('variables', ['chiProb', 'M', 'isSignal'])
        ntupler.param('particleList', 'B0:rec')
        main.add_module(ntupler)
 
        basf2.process(main)
 
        ntuplefile = TFile(testFile.name)
        ntuple = ntuplefile.Get('ntuple')
 
        self.assertFalse(ntuple.GetEntries() == 0, "Ntuple is empty.")
 
        allBkg = ntuple.GetEntries("isSignal == 0")
        allSig = ntuple.GetEntries("isSignal > 0")
 
        truePositives = ntuple.GetEntries("(chiProb > 0) && (isSignal > 0)")
        falsePositives = ntuple.GetEntries("(chiProb > 0) && (isSignal == 0)")
 
        print(f"True fit survivors: {truePositives} out of {allSig} true candidates")
        print(f"False fit survivors: {falsePositives} out of {allBkg} false candidates")
 
        self.assertTrue(truePositives > 32, f"Signal rejection too high. True positives: {truePositives}")
 
        self.assertTrue(falsePositives < 2129, f"Background rejection got worse. False positives: {falsePositives}")
 
        print("Test passed, cleaning up.")
 
 

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

• analysis/tests/treeFit.py