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Add UParT discriminants for SvUDG and SvsCB. Add UParT udg raw score.…
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… Fix typo for UParT QvsG doc.
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@nurfikri89
nurfikri89 committed Aug 9, 2024
1 parent 9502d90 commit 2e04917
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Showing 3 changed files with 12 additions and 3 deletions.
5 changes: 4 additions & 1 deletion PhysicsTools/NanoAOD/python/jetsAK4_CHS_cff.py
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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"),
btagUParTAK4QvG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG'):-1",float,precision=10,doc="UnifiedParT q (udsbc) vs. g"),
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"),
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."),
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5 changes: 4 additions & 1 deletion PhysicsTools/NanoAOD/python/jetsAK4_Puppi_cff.py
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Expand Up @@ -116,7 +116,10 @@
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"),
btagUParTAK4QvG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG'):-1",float,precision=10,doc="UnifiedParT q (udsbc) vs. g"),
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"),
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."),
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5 changes: 4 additions & 1 deletion PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
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Expand Up @@ -417,7 +417,10 @@
Plot1D('btagUParTAK4B', 'btagUParTAK4B', 20, 0, 1, 'UnifiedParT b vs. udscg discriminator'),
Plot1D('btagUParTAK4CvB', 'btagUParTAK4CvB', 20, -1, 1, 'UnifiedParT c vs. b discriminator'),
Plot1D('btagUParTAK4CvL', 'btagUParTAK4CvL', 20, -1, 1, 'UnifiedParT c vs. udsg discriminator'),
Plot1D('btagUParTAK4QG', 'btagUParTAK4QG', 20, -1, 1, 'UnifiedParT q (udsbc) vs. g discriminator'),
Plot1D('btagUParTAK4SvCB', 'btagUParTAK4SvCB', 20, -1, 1, 'UnifiedParT s vs. bc discriminator'),
Plot1D('btagUParTAK4SvUDG', 'btagUParTAK4SvUDG', 20, -1, 1, 'UnifiedParT s vs. udg discriminator'),
Plot1D('btagUParTAK4UDG', 'btagUParTAK4UDG', 30, 0, 3, 'UnifiedParT u+d+g raw score'),
Plot1D('btagUParTAK4QG', 'btagUParTAK4QG', 20, -1, 1, 'UnifiedParT q (uds) vs. g discriminator'),
Plot1D('btagUParTAK4TauVJet', 'btagUParTAK4TauVJet', 20, -1, 1, 'UnifiedParT tau vs. jet discriminator'),
Plot1D('btagUParTCvNotB', 'btagUParTCvNotB', 20, 0, 1, 'UnifiedParT C vs notB discriminator'),
Plot1D('cRegCorr', 'cRegCorr', 20, 0.6, 2, 'pt correction for c-jet energy regression'),
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