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_referenced_ignore_klong.py.

Member Function Documentation

testFit()

def testFit

(

self

)

Run the test fit

Definition at line 23 of file treeFit_referenced_ignore_klong.py.

    def testFit(self):
        """Run the test fit"""
 
        testFile = tempfile.NamedTemporaryFile()
 
        main = basf2.create_path()
 
        ma.inputMdstList([basf2.find_file('B02JpsiKL_Jpsi2mumu.root', 'examples', False)], path=main)
 
        ma.fillParticleList('mu+:sig', 'muonID > 0.5', path=main)
        stdKlongs('allklm', path=main)
 
        ma.reconstructDecay('J/psi:mumu -> mu-:sig mu+:sig', '3.08 < M < 3.12', path=main)
        ma.reconstructMissingKlongDecayExpert('B0:sig -> J/psi:mumu K_L0:allklm', '',
                                              path=main,
                                              recoList="_reco")
        ma.matchMCTruth('B0:sig', path=main)
 
        conf = -1
        main.add_module('TreeFitter',
                        particleList='B0:sig',
                        confidenceLevel=conf,
                        massConstraintList=[],
                        massConstraintListParticlename=[],
                        expertUseReferencing=True,
                        ipConstraint=True,
                        updateAllDaughters=True,
                        ignoreFromVertexFit='B0 -> J/psi ^K_L0')
 
        ntupler = basf2.register_module('VariablesToNtuple')
        ntupler.param('fileName', testFile.name)
        ntupler.param('variables', ['chiProb', 'isSignal', 'Mbc', 'deltaE', 'dz'])
        ntupler.param('particleList', 'B0:sig')
        main.add_module(ntupler)
 
        basf2.process(main)
 
        ntuplefile = TFile(testFile.name)
        ntuple = ntuplefile.Get('ntuple')
 
        self.assertFalse(ntuple.GetEntries() == 0, "Ntuple is empty.")
 
        allSig = ntuple.GetEntries("isSignal == 1")
        allBkg = ntuple.GetEntries("isSignal == 0")
 
        truePositives = ntuple.GetEntries("(chiProb > 0) && (isSignal == 1)")
        falsePositives = ntuple.GetEntries("(chiProb > 0) && (isSignal == 0)")
 
        SigDeltaEReasonable = ntuple.GetEntries("isSignal==1 && deltaE<0.1")
 
        print(f"True fit survivors: {truePositives} out of {allSig} true candidates")
        print(f"False fit survivors: {falsePositives} out of {allBkg} false candidates")
 
        self.assertTrue(falsePositives < 2041, "Background rejection too small.")
        self.assertTrue(truePositives > 522, "Signal rejection too high")
 
        print(f"Signal events with good deltaE values {SigDeltaEReasonable}")
        self.assertTrue(SigDeltaEReasonable > 463, "Signal kinematics is wrongly reconstructed too much")
 
        print("Test passed, cleaning up.")
 
 

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

• analysis/tests/treeFit_referenced_ignore_klong.py