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[NanoAOD, BTV] Finalize UParT branches for NanoV15 #47228

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Jan 31, 2025
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26 changes: 14 additions & 12 deletions PhysicsTools/NanoAOD/python/jetsAK4_Puppi_cff.py
Original file line number Diff line number Diff line change
Expand Up @@ -78,19 +78,21 @@
PNetRegPtRawCorr = Var("?abs(eta())<2.5?bDiscriminator('pfParticleNetFromMiniAODAK4PuppiCentralJetTags:ptcorr'):bDiscriminator('pfParticleNetFromMiniAODAK4PuppiForwardJetTags:ptcorr')",float,precision=10,doc="ParticleNet universal flavor-aware visible pT regression (no neutrinos), correction relative to raw jet pT"),
PNetRegPtRawCorrNeutrino = Var("?abs(eta())<2.5?bDiscriminator('pfParticleNetFromMiniAODAK4PuppiCentralJetTags:ptnu'):bDiscriminator('pfParticleNetFromMiniAODAK4PuppiForwardJetTags:ptnu')",float,precision=10,doc="ParticleNet universal flavor-aware pT regression neutrino correction, relative to visible. To apply full regression, multiply raw jet pT by both PNetRegPtRawCorr and PNetRegPtRawCorrNeutrino."),
PNetRegPtRawRes = Var("?abs(eta())<2.5?0.5*(bDiscriminator('pfParticleNetFromMiniAODAK4PuppiCentralJetTags:ptreshigh')-bDiscriminator('pfParticleNetFromMiniAODAK4PuppiCentralJetTags:ptreslow')):0.5*(bDiscriminator('pfParticleNetFromMiniAODAK4PuppiForwardJetTags:ptreshigh')-bDiscriminator('pfParticleNetFromMiniAODAK4PuppiForwardJetTags:ptreslow'))",float,precision=10,doc="ParticleNet universal flavor-aware jet pT resolution estimator, (q84 - q16)/2"),
btagUParTAK4B = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll'):-1",float,precision=10,doc="UnifiedParT b vs. udscg"),
btagUParTAK4CvL = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL'):-1",float,precision=10,doc="UnifiedParT c vs. udsg"),
btagUParTAK4CvB = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB'):-1",float,precision=10,doc="UnifiedParT c vs. b"),
btagUParTAK4CvNotB = Var("?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb')))>0?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probc'))/(1.-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb'))):-1",float,precision=10,doc="UnifiedParT c vs. not b"),
btagUParTAK4SvCB = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsBC')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsBC'):-1",float,precision=10,doc="UnifiedParT s vs. bc"),
btagUParTAK4SvUDG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsUDG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsUDG'):-1",float,precision=10,doc="UnifiedParT s vs. udg"),
btagUParTAK4UDG = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probu')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probd')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probg')",float,precision=10,doc="UnifiedParT u+d+g raw score"),
btagUParTAK4QvG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG'):-1",float,precision=10,doc="UnifiedParT q (uds) vs. g"),
btagUParTAK4TauVJet = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet'):-1",float,precision=10,doc="UnifiedParT tau vs. jet"),
btagUParTAK4Ele = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probele')",float,precision=10,doc="UnifiedParT electron raw score"),
btagUParTAK4Mu = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probmu')",float,precision=10,doc="UnifiedParT muon raw score"),
btagUParTAK4B = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll'):-1",float,precision=12,doc="UnifiedParT b vs. udscg"),
btagUParTAK4CvL = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL'):-1",float,precision=12,doc="UnifiedParT c vs. udsg"),
btagUParTAK4CvB = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB'):-1",float,precision=12,doc="UnifiedParT c vs. b"),
btagUParTAK4CvNotB = Var("?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb')))>0?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probc'))/(1.-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb'))):-1",float,precision=12,doc="UnifiedParT c vs. not b"),
btagUParTAK4SvCB = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsBC')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsBC'):-1",float,precision=12,doc="UnifiedParT s vs. bc"),
btagUParTAK4SvUDG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsUDG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsUDG'):-1",float,precision=12,doc="UnifiedParT s vs. udg"),
btagUParTAK4UDG = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probu')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probd')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probg')",float,precision=12,doc="UnifiedParT u+d+g raw score"),
btagUParTAK4QvG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG'):-1",float,precision=12,doc="UnifiedParT q (uds) vs. g"),
btagUParTAK4TauVJet = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet'):-1",float,precision=12,doc="UnifiedParT tau vs. jet"),
btagUParTAK4Ele = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probele')",float,precision=12,doc="UnifiedParT electron raw score"),
btagUParTAK4Mu = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probmu')",float,precision=12,doc="UnifiedParT muon raw score"),
btagUParTAK4probb = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')",float,precision=12,doc="UnifiedParT b raw score"),
btagUParTAK4probbb = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')",float,precision=12,doc="UnifiedParT bb raw score"),
UParTAK4RegPtRawCorr = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptcorr')>0?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptcorr'):-1",float,precision=10,doc="UnifiedParT universal flavor-aware visible pT regression (no neutrinos), correction relative to raw jet pT"),
UParTAK4RegPtRawCorrNeutrino = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu')>0?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu'):-1",float,precision=10,doc="UnifiedParT universal flavor-aware pT regression neutrino correction, relative to visible. To apply full regression, multiply raw jet pT by both UParTAK4RegPtRawCorr and UParTAK4RegPtRawCorrNeutrino."),
UParTAK4RegPtRawCorrNeutrino = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu')>0?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu'):-1",float,precision=10,doc="UnifiedParT universal flavor-aware pT regression neutrino correction, relative to visible. Correction relative to raw jet pT"),
UParTAK4RegPtRawRes = Var("?(bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreshigh')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreslow'))>0?0.5*(bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreshigh')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreslow')):-1",float,precision=10,doc="UnifiedParT universal flavor-aware jet pT resolution estimator, (q84 - q16)/2"),
puIdDisc = Var("userFloat('pileupJetIdPuppi:fullDiscriminant')", float,doc="Pileup ID BDT discriminant with 133X Winter24 PuppiV18 training",precision=10),
hfsigmaEtaEta = Var("userFloat('hfsigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10),
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2 changes: 2 additions & 0 deletions PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
Original file line number Diff line number Diff line change
Expand Up @@ -478,6 +478,8 @@
Plot1D('btagUParTAK4CvNotB', 'btagUParTAK4CvNotB', 20, 0, 1, 'UnifiedParT C vs notB discriminator'),
Plot1D('btagUParTAK4Ele', 'btagUParTAK4Ele', 20, -1, 1, 'UnifiedParT electron raw score'),
Plot1D('btagUParTAK4Mu', 'btagUParTAK4Mu', 20, -1, 1, 'UnifiedParT muon raw score'),
Plot1D('btagUParTAK4probb', 'btagUParTAK4probb', 20, -1, 1, 'UnifiedParT b raw score'),
Plot1D('btagUParTAK4probbb', 'btagUParTAK4probbb', 20, -1, 1, 'UnifiedParT bb raw score'),
Plot1D('cRegCorr', 'cRegCorr', 20, 0.6, 2, 'pt correction for c-jet energy regression'),
Plot1D('cRegRes', 'cRegRes', 20, 0.05, 0.4, 'res on pt corrected with c-jet regression'),
Plot1D('btagPNetB', 'btagPNetB', 20, 0, 1, 'ParticleNet b tag discriminator'),
Expand Down