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1_Reconstruction_local_test.py
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# +
import basf2 as b2
import modularAnalysis as ma
from variables import variables as vm
import variables.collections as vc
import variables.utils as vu
import vertex as vx
import stdPi0s
b2.B2INFO(f"Prepending analysis GT: {ma.getAnalysisGlobaltag()}")
b2.conditions.prepend_globaltag(ma.getAnalysisGlobaltag())
#b2.conditions.prepend_globaltag('chargedpidmva_rel6_v5')
# Define the path
main_path = b2.Path()
# the basf2 command line code is:
# bsub -q l 'basf2 /current/directory/1_Reconstruction.py input output'
import sys
input_file = sys.argv[1]
output_file = sys.argv[2]
remove_tracks = sys.argv[3] # remove_tracks
ma.inputMdstList(environmentType='default', filelist=input_file, path=main_path)
########## Tracks and Clusters ###########
# Hadron tracks: https://confluence.desy.de/display/BI/Hadron+ID+Performance
goodTrack = '[abs(dz)<2] and [dr<0.5] and thetaInCDCAcceptance and [nCDCHits>20]'
# Neutral performance: https://confluence.desy.de/display/BI/Neutrals+Performance
vm.addAlias('goodphoton','passesCut([abs(clusterTiming)<formula(2*clusterErrorTiming)] and \
[abs(clusterTiming)<200] and [clusterE>0.05] and inECLAcceptance and \
[beamBackgroundSuppression>0.2] and [fakePhotonSuppression>0.2] and [clusterNHits>1.5])')
########## Final State Particles ###########
vm.addAlias('binaryKID','binaryPID_noSVD(321, 211)')
ma.fillParticleList('K+:myk', cut=goodTrack + ' and [kaonID_noSVD>0.9]', path=main_path)
if remove_tracks=='remove_tracks':
ma.removeTracksForTrackingEfficiencyCalculation(['K+:myk'], 0.009, path=main_path)
stdPi0s.stdPi0s(listtype='eff60_May2020',beamBackgroundMVAWeight="MC15ri",
fakePhotonMVAWeight="MC15ri",path=main_path)
ma.cutAndCopyLists(outputListName='pi0:mypi0', inputListNames='pi0:eff60_May2020',
cut='[0.115<M<0.15] and [daughter(0,goodphoton)] and [daughter(1,goodphoton)]', path=main_path)
vm.addAlias('daughterAngle','daughterAngle(0, 1)')
vm.addAlias('daughterAngle_CMS','useCMSFrame(daughterAngle(0, 1))')
daughterDiff_vars = [f'daughterAngle{frame}' for frame in ['','_CMS']]
for var in ['phi','theta','p']:
vm.addAlias(f'daughterDiff_{var}',f'daughterDiffOf(0,1,{var})')
vm.addAlias(f'daughterDiff_CMS_{var}',f'useCMSFrame(daughterDiffOf(0,1,{var}))')
#vm.addAlias(f'daughterDiff_rest_{var}',f'useRestFrame(daughterDiffOf(0, 1, {var}))')
daughterDiff_vars += [f'daughterDiff{frame}_{var}' for frame in ['','_CMS']]
########## Event Kinematics/Shape ##########
ma.buildEventKinematics(fillWithMostLikely=True,path=main_path)
ma.buildEventShape(cleoCones=False, collisionAxis=False, foxWolfram=True,
harmonicMoments=False, jets=False, sphericity=False, path=main_path)
ESVariables = ['foxWolframR1', 'foxWolframR4', 'thrustAxisCosTheta']
########### Reconstruct B ##########
ma.reconstructDecay('B+:Kpi0 -> K+:myk pi0:mypi0', cut='', path=main_path)
# required for the tagV
vx.treeFit('B+:Kpi0', conf_level=0.00, updateAllDaughters=False, massConstraint=[], ipConstraint=True, path=main_path)
DCSV_momentum = ['p', 'pErr', 'phi', 'phiErr', 'theta', 'thetaErr']
DCSV_cluster = ['clusterNHits', 'clusterTiming', 'clusterE9E21', 'clusterE', 'clusterReg']
DCSV_track = ['nCDCHits', 'pValue', 'charge','electronID_noSVD', 'kaonID_noSVD',
'muonID_noSVD', 'pionID_noSVD', 'protonID_noSVD', 'deuteronID_noSVD']
# Get the distance between vertices IP and pi0
#vm.addAlias('vtxDDSig', 'vertexDistanceOfDaughterSignificance(1)') not working, all nan
########## Best Candidate Selection ###########
ma.rankByHighest("B+:Kpi0", variable="Mbc", numBest=1, path=main_path)
########### MC Truth Matching ##########
ma.matchMCTruth('B+:Kpi0', path=main_path)
########### Build the ROE ##########
ma.fillParticleList('gamma:all', '', path=main_path)
ma.getBeamBackgroundProbability('gamma:all','MC15ri', path=main_path)
ma.getFakePhotonProbability('gamma:all','MC15ri', path=main_path)
ma.buildRestOfEvent('B+:Kpi0', fillWithMostLikely=True, path=main_path)
good_track = '[abs(dz)<20] and [dr<10] and thetaInCDCAcceptance and [nCDCHits>0] and [pt>0.075]'
good_gamma = f'[clusterE>0.05] and [clusterNHits>1.5] and [abs(clusterTiming)<formula(2*clusterErrorTiming)] and \
[abs(clusterTiming)<200] and [beamBackgroundSuppression>0.2] and [fakePhotonSuppression>0.2]'
roe_mask = ('my_mask', good_track, good_gamma)
ma.appendROEMasks('B+:Kpi0', [roe_mask], path=main_path)
# creates V0 particle lists and uses V0 momentum to update the Rest Of Event
ma.updateROEUsingV0Lists('B+:Kpi0', mask_names='my_mask', default_cleanup=True, selection_cuts=None,
apply_mass_fit=True, fitter='treefit', path=main_path)
# save roe tracks and clusters to the ntuple
# roe_path = b2.Path()
# deadEndPath = b2.Path()
# ma.signalSideParticleFilter('B+:Kpi0', '', roe_path, deadEndPath)
# roe_cut = '[isInRestOfEvent==1] and passesROEMask(my_mask)'
# roe_tracks = ('pi+:roe',roe_cut)
# roe_gammas = ('gamma:roe', roe_cut)
# ma.fillParticleLists([roe_tracks, roe_gammas], path=roe_path)
# ma.variablesToNtuple("pi+:roe", DCSV_momentum + DCSV_track + ['mcPDG','isSignal'],
# filename=output_file, treename='roe_tracks', path=roe_path)
# ma.variablesToNtuple("gamma:roe", DCSV_momentum + DCSV_cluster + ['mcPDG','isSignal'],
# filename=output_file, treename='roe_clusters', path=roe_path)
# main_path.for_each('RestOfEvent', 'RestOfEvents', roe_path)
vm.addAlias('roeP','roeP(my_mask)')
vm.addAlias('roePTheta','roePTheta(my_mask)')
vm.addAlias('roeCharge','roeCharge(my_mask)')
DCSV_roe = ['roeP', 'roePTheta', 'roeCharge']
# fit the tag-side B vertex
vx.TagV('B+:Kpi0',confidenceLevel=0.0,trackFindingType='standard_PXD',MCassociation='breco',constraintType='tube',
reqPXDHits=0, maskName='my_mask', fitAlgorithm='KFit', kFitReqReducedChi2=5, path=main_path)
vm.addAlias('TagVReChi2','formula(TagVChi2/TagVNDF)')
vm.addAlias('TagVReChi2IP','formula(TagVChi2IP/TagVNDF)')
TVVariables = ['DeltaZ', 'DeltaZErr', 'TagVReChi2', 'TagVReChi2IP',
'TagVx', 'TagVxErr', 'TagVy', 'TagVyErr',
'TagVz', 'TagVzErr', 'TagVNTracks']
########## Continuum Suppression #########
ma.buildContinuumSuppression(list_name="B+:Kpi0", roe_mask="my_mask", path=main_path)
vm.addAlias('KSFWV_et','KSFWVariables(et)') #correlates with p_D + p_l
vm.addAlias('KSFWV_mm2','KSFWVariables(mm2)') #correlates with mm2
vm.addAlias('KSFWV_hso00','KSFWVariables(hso00)')
vm.addAlias('KSFWV_hso01','KSFWVariables(hso01)')
vm.addAlias('KSFWV_hso02','KSFWVariables(hso02)')
vm.addAlias('KSFWV_hso03','KSFWVariables(hso03)')
vm.addAlias('KSFWV_hso04','KSFWVariables(hso04)')
vm.addAlias('KSFWV_hso10','KSFWVariables(hso10)')
vm.addAlias('KSFWV_hso12','KSFWVariables(hso12)')
vm.addAlias('KSFWV_hso14','KSFWVariables(hso14)')
vm.addAlias('KSFWV_hso20','KSFWVariables(hso20)') #correlates with mm2
vm.addAlias('KSFWV_hso22','KSFWVariables(hso22)')
vm.addAlias('KSFWV_hso24','KSFWVariables(hso24)')
vm.addAlias('KSFWV_hoo0','KSFWVariables(hoo0)')
vm.addAlias('KSFWV_hoo1','KSFWVariables(hoo1)')
vm.addAlias('KSFWV_hoo2','KSFWVariables(hoo2)')
vm.addAlias('KSFWV_hoo3','KSFWVariables(hoo3)')
vm.addAlias('KSFWV_hoo4','KSFWVariables(hoo4)')
vm.addAlias('CC1','CleoConeCS(1)')
vm.addAlias('CC2','CleoConeCS(2)')
vm.addAlias('CC3','CleoConeCS(3)')
vm.addAlias('CC4','CleoConeCS(4)')
vm.addAlias('CC5','CleoConeCS(5)')
vm.addAlias('CC6','CleoConeCS(6)')
vm.addAlias('CC7','CleoConeCS(7)')
vm.addAlias('CC8','CleoConeCS(8)')
vm.addAlias('CC9','CleoConeCS(9)')
CSVariables = ['isContinuumEvent', "R2", "thrustBm",
"thrustOm", "cosTBTO", "cosTBz",
'KSFWV_et', 'KSFWV_mm2', 'KSFWV_hso00',
'KSFWV_hso01', 'KSFWV_hso02', 'KSFWV_hso03',
'KSFWV_hso04', 'KSFWV_hso10', 'KSFWV_hso12',
'KSFWV_hso14', 'KSFWV_hso20', 'KSFWV_hso22',
'KSFWV_hso24', 'KSFWV_hoo0', 'KSFWV_hoo1',
'KSFWV_hoo2', 'KSFWV_hoo3', 'KSFWV_hoo4',
"CC1", "CC2", "CC3",
"CC4", "CC5", "CC6",
"CC7", "CC8", "CC9", ]
########## Save Ntuples ##########
# ma.printMCParticles(onlyPrimaries=False, maxLevel=-1, path=main_path, suppressPrint=True,
# showProperties=False,showMomenta=False,showVertices=False,showStatus=False)
cms_kinematics = vu.create_aliases(vc.kinematics, "useCMSFrame({variable})", "CMS")
cms_mc_kinematics = vu.create_aliases(vc.mc_kinematics, "useCMSFrame({variable})", "CMS")
vm.addAlias('CMS_cosTheta', 'useCMSFrame(cosTheta)')
b_vars = vu.create_aliases_for_selected(
list_of_variables= vc.deltae_mbc + CSVariables + ESVariables + TVVariables + daughterDiff_vars
+ DCSV_momentum + DCSV_roe + ['mcErrors','mcPDG','isSignal','CMS_cosTheta','M'],
decay_string='^B+:Kpi0 -> K+:myk pi0:mypi0',
prefix=['B'])
k_vars = vu.create_aliases_for_selected(
list_of_variables= DCSV_momentum + DCSV_track
+ ['binaryKID','kaonID_noSVD','pionID_noSVD','kaonIDNN','pionIDNN',
'genMotherPDG','mcPDG','isSignal'],
decay_string='B+:Kpi0 -> ^K+:myk pi0:mypi0',
prefix=['K'])
pi0_vars = vu.create_aliases_for_selected(
list_of_variables= DCSV_momentum + daughterDiff_vars
+ ['genMotherPDG','mcErrors', 'mcPDG','isSignal','M'],
decay_string='B+:Kpi0 -> K+:myk ^pi0:mypi0',
prefix=['pi'])
gamma_vars = vu.create_aliases_for_selected(
list_of_variables= DCSV_momentum + DCSV_cluster
+ ['genMotherPDG','mcPDG','isSignal','beamBackgroundSuppression', 'fakePhotonSuppression'],
decay_string='B+:Kpi0 -> K+:myk [pi0:mypi0 -> ^gamma:eff60_May2020 ^gamma:eff60_May2020]',
prefix=['g1','g2'])
candidate_vars = ['Ecms'] + b_vars + k_vars + pi0_vars + gamma_vars
ma.variablesToNtuple('B+:Kpi0', candidate_vars, basketsize=20000000,
filename=output_file, treename='Bsig', path=main_path)
b2.process(path=main_path)