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 22 of file treeFit_beam_momentum_constrain.py.

Member Function Documentation

testFit()

def testFit

(

self

)

Run the test fit

Definition at line 25 of file treeFit_beam_momentum_constrain.py.

    def testFit(self):
        """Run the test fit"""
 
        testFile = tempfile.NamedTemporaryFile()
 
        main = basf2.create_path()
 
        ma.inputMdst(b2test_utils.require_file('analysis/tests/150_noBKG_DtoPiNuNu.root'), path=main)
        ma.fillParticleList('pi+:a', 'pionID > 0.5', path=main)
        ma.fillParticleList('K+:a', 'kaonID > 0.5', path=main)
 
        ma.reconstructDecay(
            "D-:tag -> K+:a pi-:a pi-:a",
            cut='1.859 < M < 1.879 and useCMSFrame(p)>2.0',
            path=main
        )
 
        ma.reconstructDecay(
            "D+:sig -> pi+:a",
            '',
            path=main
        )
 
        ma.reconstructDecay('Z0:rec -> D+:sig D-:tag pi-:a pi+:a', '', path=main)
        ma.matchMCTruth('Z0:rec', path=main)
 
        ma.setBeamConstrainedMomentum(
            'Z0:rec',
            '^Z0:rec -> D+:sig D-:tag pi-:a pi+:a',
            'Z0:rec -> D+:sig D-:tag pi-:a pi+:a',
            path=main
            )
 
        ma.setBeamConstrainedMomentum(
           'Z0:rec',
           'Z0:rec -> ^D+:sig D-:tag pi-:a pi+:a',
           'Z0:rec -> D+:sig ^D-:tag ^pi-:a ^pi+:a',
           path=main
           )
 
        conf = 0
        main.add_module('TreeFitter',
                        particleList='Z0:rec',
                        confidenceLevel=conf,
                        massConstraintList=[],
                        massConstraintListParticlename=[],
                        expertBeamConstraintPDG=23,
                        treatAsInvisible='Z0:rec -> ^D+:sig D-:tag pi-:a pi+:a',
                        ipConstraint=True,
                        updateAllDaughters=True)
 
        ma.applyCuts('Z0:rec',
                     "1.6<daughter(0,M)<2.2",
                     path=main
                     )
 
        ma.rankByHighest("Z0:rec",
                         "chiProb",
                         numBest=1,
                         path=main)
 
        vm.addAlias("signalD", "daughter(0,isSignalAcceptMissingNeutrino)")
 
        ntupler = basf2.register_module('VariablesToNtuple')
        ntupler.param('fileName', testFile.name)
        ntupler.param('variables', ['chiProb', 'M', 'signalD'])
        ntupler.param('particleList', 'Z0: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("signalD == 0")
        allSig = ntuple.GetEntries("signalD > 0")
 
        truePositives = ntuple.GetEntries("(chiProb > 0) && (signalD > 0)")
        falsePositives = ntuple.GetEntries("(chiProb > 0) && (signalD == 0)")
 
        mustBeZero = ntuple.GetEntries(f"(chiProb < {conf})")
 
        print(f"True fit survivors: {truePositives} out of {allSig} true candidates")
        print(f"False fit survivors: {falsePositives} out of {allBkg} false candidates")
 
        self.assertFalse(truePositives == 0, "No signal survived the fit.")
 
        self.assertTrue(falsePositives < 1, "Background rejection too small.")
 
        self.assertTrue(truePositives > 8, "Signal rejection too high")
        self.assertFalse(mustBeZero, f"We should have dropped all candidates with confidence level less than {conf}.")
 
        print("Test passed, cleaning up.")
 
 

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

• analysis/tests/treeFit_beam_momentum_constrain.py