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Merged
cmsbuild merged 10 commits into from
Apr 27, 2023
Merged

Add ParticleNet info to taus in NanoAOD #41333

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d1eced9
initial version of tau producer from HPS and PNet
mbluj Feb 14, 2023
157178d
Add fillDescriptions
mbluj Feb 14, 2023
3ce9150
Make selection configurable
mbluj Feb 14, 2023
d6da363
Add genJet matching
mbluj Feb 15, 2023
d0d5100
Use uncorrected jets to build recovery taus
mbluj Mar 14, 2023
05dd9f5
Small addons and cleaning
mbluj Mar 21, 2023
ba5a1c4
Simplified tau content and other small updates
mbluj Apr 4, 2023
a745024
Add PNet info to taus
mbluj Apr 13, 2023
ae949e1
Add tau PNEt variables to DQM
mbluj Apr 13, 2023
663d2a5
Store charge assignment confidence and tau decay mode scores
mbluj Apr 14, 2023
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12 changes: 12 additions & 0 deletions PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -789,6 +789,7 @@
Plot1D('charge', 'charge', 3, -1.5, 1.5, 'electric charge'),
Plot1D('chargedIso', 'chargedIso', 20, 0, 200, 'charged isolation'),
Plot1D('decayMode', 'decayMode', 12, -0.5, 11.5, 'decayMode()'),
Plot1D('decayModePNet', 'decayModePNet', 13, -1.5, 11.5, 'decay mode of the highest PNet tau score'),
Plot1D('dxy', 'dxy', 20, -1000, 1000, 'd_{xy} of lead track with respect to PV, in cm (with sign)'),
Plot1D('dz', 'dz', 20, -20, 20, 'd_{z} of lead track with respect to PV, in cm (with sign)'),
Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
Expand All @@ -797,6 +798,7 @@
Plot1D('idAntiEleDeadECal', 'idAntiEleDeadECal', 2, -0.5, 1.5, "tauID('againstElectronDeadECAL')"),
Plot1D('idAntiMu', 'idAntiMu', 11, -0.5, 10.5, 'Anti-muon discriminator V3: : int 1 = Loose, 2 = Tight'),
Plot1D('idDecayModeOldDMs', 'idDecayModeOldDMs', 2, -0.5, 1.5, "tauID('decayModeFinding')"),
Plot1D('idDecayModeNewDMs', 'idDecayModeNewDMs', 2, -0.5, 1.5, "tauID('decayModeFindingNewDMs')"),
Plot1D('idDeepTau2017v2p1VSe', 'idDeepTau2017v2p1VSe', 11, -0.5, 10.5, 'byDeepTau2017v2p1VSe ID working points (deepTau2017v2p1): int 1 = VVVLoose, 2 = VVLoose, 3 = VLoose, 4 = Loose, 5 = Medium, 6 = Tight, 7 = VTight, 8 = VVTight'),
Plot1D('idDeepTau2017v2p1VSjet', 'idDeepTau2017v2p1VSjet', 11, -0.5, 10.5, 'byDeepTau2017v2p1VSjet ID working points (deepTau2017v2p1): int 1 = VVVLoose, 2 = VVLoose, 3 = VLoose, 4 = Loose, 5 = Medium, 6 = Tight, 7 = VTight, 8 = VVTight'),
Plot1D('idDeepTau2017v2p1VSmu', 'idDeepTau2017v2p1VSmu', 11, -0.5, 10.5, 'byDeepTau2017v2p1VSmu ID working points (deepTau2017v2p1): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight'),
Expand All @@ -819,8 +821,18 @@
Plot1D('rawDeepTau2018v2p5VSe', 'rawDeepTau2018v2p5VSe', 20, 0, 1, 'byDeepTau2018v2p5VSe raw output discriminator (deepTau2018v2p5)'),
Plot1D('rawDeepTau2018v2p5VSjet', 'rawDeepTau2018v2p5VSjet', 20, 0, 1, 'byDeepTau2018v2p5VSjet raw output discriminator (deepTau2018v2p5)'),
Plot1D('rawDeepTau2018v2p5VSmu', 'rawDeepTau2018v2p5VSmu', 20, 0, 1, 'byDeepTau2018v2p5VSmu raw output discriminator (deepTau2018v2p5)'),
Plot1D('rawPNetVSe', 'rawPNetVSe', 20, 0, 1, 'byPNetVSe raw output discriminator (PNet 2023)'),
Plot1D('rawPNetVSjet', 'rawPNetVSjet', 20, 0, 1, 'byPNetVSjet raw output discriminator (PNet 2023)'),
Plot1D('rawPNetVSmu', 'rawPNetVSmu', 20, 0, 1, 'byPNetVSmu raw output discriminator (PNet 2023)'),
Plot1D('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
Plot1D('ptCorrPNet', 'ptCorrPNet', 20, 0, 2, 'pt correction (PNet 2023)'),
Plot1D('qConfPNet', 'qConfPNet', 20, -0.5, 0.5, 'signed charge confidence (PNet 2023)'),
Plot1D('probDM0PNet', 'probDM0PNet', 20, 0, 1, 'normalised probablity of decayMode 0, 1h+0pi0 (PNet 2023)'),
Plot1D('probDM1PNet', 'probDM1PNet', 20, 0, 1, 'normalised probablity of decayMode 1, 1h+1pi0 (PNet 2023)'),
Plot1D('probDM2PNet', 'probDM2PNet', 20, 0, 1, 'normalised probablity of decayMode 2, 1h+2pi0 (PNet 2023)'),
Plot1D('probDM10PNet', 'probDM10PNet', 20, 0, 1, 'normalised probablity of decayMode 10, 3h+0pi0 (PNet 2023)'),
Plot1D('probDM11PNet', 'probDM11PNet', 20, 0, 1, 'normalised probablity of decayMode 11, 3h+1pi0 (PNet 2023)'),
)
),
TkMET = cms.PSet(
Expand Down
60 changes: 59 additions & 1 deletion PhysicsTools/NanoAOD/python/nano_cff.py
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Original file line number Diff line number Diff line change
Expand Up @@ -135,6 +135,51 @@ def nanoAOD_addBoostedTauIds(process, idsToRun=[]):

return process

def nanoAOD_addPNetToTaus(process, addPNetInfo=False, runPNetCHSAK4=False):
if addPNetInfo:
originalTauName = process.finalTaus.src.value()
updatedTauName = originalTauName+'WithPNet'
jetCollection = "updatedJets"
process.load('RecoBTag.ONNXRuntime.pfParticleNetFromMiniAODAK4_cff')
pnetTagName = "pfParticleNetFromMiniAODAK4CHSCentralJetTag"
pnetDiscriminators = [];
for tag in getattr(process,pnetTagName+"s").flav_names.value():
pnetDiscriminators.append(pnetTagName+"s:"+tag)

# Define "hybridTau" producer
from PhysicsTools.PatAlgos.patTauHybridProducer_cfi import patTauHybridProducer
setattr(process, updatedTauName, patTauHybridProducer.clone(
src = originalTauName,
jetSource = jetCollection,
dRMax = 0.4,
jetPtMin = 15,
jetEtaMax = 2.5,
pnetLabel = pnetTagName+"s",
pnetScoreNames = pnetDiscriminators,
tauScoreMin = -1,
vsJetMin = 0.05,
checkTauScoreIsBest = False,
chargeAssignmentProbMin = 0.2,
addGenJetMatch = False,
genJetMatch = ""
))
process.finalTaus.src = updatedTauName

# run PNet for CHS AK4 jets if requested
if runPNetCHSAK4:
from PhysicsTools.NanoAOD.jetsAK4_CHS_cff import nanoAOD_addDeepInfoAK4CHS
process = nanoAOD_addDeepInfoAK4CHS(process,
addDeepBTag = False,
addDeepFlavour = False,
addParticleNet = True
)

#remember to adjust the selection and tables with added IDs

process.tauTask.add(process.jetTask, getattr(process, updatedTauName))

return process

from PhysicsTools.SelectorUtils.tools.vid_id_tools import *
def nanoAOD_activateVID(process):

Expand Down Expand Up @@ -184,13 +229,26 @@ def nanoAOD_customizeCommon(process):
)

nanoAOD_tau_switch = cms.PSet(
idsToAdd = cms.vstring()
idsToAdd = cms.vstring(),
runPNetAK4 = cms.bool(False),
addPNet = cms.bool(True)
)
(run2_nanoAOD_106Xv2 | run3_nanoAOD_122).toModify(
nanoAOD_tau_switch, idsToAdd = ["deepTau2018v2p5"]
).toModify(
process, lambda p : nanoAOD_addTauIds(p, nanoAOD_tau_switch.idsToAdd.value())
)
# Add PNet info to taus
# enable rerun of PNet for CHS jets for early run3 eras
# (it is rerun for run2 within jet tasks while is not needed for newer
# run3 eras as it is present in miniAOD)
(run3_nanoAOD_122 | run3_nanoAOD_124).toModify(
nanoAOD_tau_switch, runPNetAK4 = True
)
nanoAOD_addPNetToTaus(process,
addPNetInfo = nanoAOD_tau_switch.addPNet.value(),
runPNetCHSAK4 = nanoAOD_tau_switch.runPNetAK4.value()
)
nanoAOD_boostedTau_switch = cms.PSet(
idsToAdd = cms.vstring()
)
Expand Down
63 changes: 40 additions & 23 deletions PhysicsTools/NanoAOD/python/taus_cff.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,12 +18,12 @@

finalTaus = cms.EDFilter("PATTauRefSelector",
src = cms.InputTag("slimmedTaus"),
cut = cms.string("pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || (tauID('chargedIsoPtSumdR03')+max(0.,tauID('neutralIsoPtSumdR03')-0.072*tauID('puCorrPtSum'))<2.5) || tauID('byVVVLooseDeepTau2017v2p1VSjet') || tauID('byVVVLooseDeepTau2018v2p5VSjet'))")
cut = cms.string("pt > 18 && ((tauID('decayModeFindingNewDMs') > 0.5 && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || (tauID('chargedIsoPtSumdR03')+max(0.,tauID('neutralIsoPtSumdR03')-0.072*tauID('puCorrPtSum'))<2.5) || tauID('byVVVLooseDeepTau2017v2p1VSjet') || tauID('byVVVLooseDeepTau2018v2p5VSjet'))) || (?isTauIDAvailable('byPNetVSjetraw')?tauID('byPNetVSjetraw'):-1) > {})".format(0.05))
)

run3_nanoAOD_124.toModify(
finalTaus,
cut = cms.string("pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || (tauID('chargedIsoPtSumdR03')+max(0.,tauID('neutralIsoPtSumdR03')-0.072*tauID('puCorrPtSum'))<2.5) || tauID('byVVVLooseDeepTau2017v2p1VSjet') || (tauID('byDeepTau2018v2p5VSjetraw') > {}))".format(WORKING_POINTS_v2p5["jet"]["VVVLoose"]))
cut = cms.string("pt > 18 && ((tauID('decayModeFindingNewDMs') > 0.5 && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || (tauID('chargedIsoPtSumdR03')+max(0.,tauID('neutralIsoPtSumdR03')-0.072*tauID('puCorrPtSum'))<2.5) || tauID('byVVVLooseDeepTau2017v2p1VSjet') || (tauID('byDeepTau2018v2p5VSjetraw') > {}))) || (?isTauIDAvailable('byPNetVSjetraw')?tauID('byPNetVSjetraw'):-1) > {})".format(WORKING_POINTS_v2p5["jet"]["VVVLoose"],0.05))
)

##################### Tables for final output and docs ##########################
Expand All @@ -38,8 +38,10 @@ def _tauIdWPMask(pattern, choices, doc="", from_raw=False, wp_thrs=None):
wp_definition = "test_bit(tauID('{}')-{}+1,0)".format(pattern, wp_thrs[wp_name])
var_definition.append(wp_definition)
var_definition = " + ".join(var_definition)
var_definition = ("?isTauIDAvailable('%s')?(" % pattern) + var_definition + "):0"
else:
var_definition = " + ".join(["tauID('%s')" % (pattern % c) for c in choices])
var_definition = ("?isTauIDAvailable('%s')?(" % (pattern % choices[0])) + var_definition + "):0"

doc = doc + ": "+", ".join(["%d = %s" % (i,c) for (i,c) in enumerate(choices, start=1)])
return Var(var_definition, "uint8", doc=doc)
Expand All @@ -60,32 +62,32 @@ def _tauIdWPMask(pattern, choices, doc="", from_raw=False, wp_thrs=None):
svIdx2 = Var("?overlaps('vertices').size()>1?overlaps('vertices')[1].key():-1", "int16", doc="index of second matching secondary vertex"),
nSVs = Var("?hasOverlaps('vertices')?overlaps('vertices').size():0", "uint8", doc="number of secondary vertices in the tau"),
decayMode = Var("decayMode()", "uint8"),
idDecayModeOldDMs = Var("tauID('decayModeFinding')", bool),
idDecayModeOldDMs = Var("(?isTauIDAvailable('decayModeFinding')?tauID('decayModeFinding'):-1) > 0", bool),
idDecayModeNewDMs = Var("(?isTauIDAvailable('decayModeFindingNewDMs')?tauID('decayModeFindingNewDMs'):-1) > 0", bool),
leadTkPtOverTauPt = Var("?leadChargedHadrCand.isNonnull()?leadChargedHadrCand.pt/pt:1",float, doc="pt of the leading track divided by tau pt",precision=10),
leadTkDeltaEta = Var("?leadChargedHadrCand.isNonnull()?(leadChargedHadrCand.eta - eta):0",float, doc="eta of the leading track, minus tau eta",precision=8),
leadTkDeltaPhi = Var("?leadChargedHadrCand.isNonnull()?deltaPhi(leadChargedHadrCand.phi, phi):0",float, doc="phi of the leading track, minus tau phi",precision=8),

leadTkPtOverTauPt = Var("leadChargedHadrCand.pt/pt ",float, doc="pt of the leading track divided by tau pt",precision=10),
leadTkDeltaEta = Var("leadChargedHadrCand.eta - eta ",float, doc="eta of the leading track, minus tau eta",precision=8),
leadTkDeltaPhi = Var("deltaPhi(leadChargedHadrCand.phi, phi) ",float, doc="phi of the leading track, minus tau phi",precision=8),

dxy = Var("leadChargedHadrCand().dxy()",float, doc="d_{xy} of lead track with respect to PV, in cm (with sign)",precision=10),
dz = Var("leadChargedHadrCand().dz()",float, doc="d_{z} of lead track with respect to PV, in cm (with sign)",precision=14),
dxy = Var("?leadChargedHadrCand.isNonnull()?leadChargedHadrCand().dxy():0",float, doc="d_{xy} of lead track with respect to PV, in cm (with sign)",precision=10),
dz = Var("?leadChargedHadrCand.isNonnull()?leadChargedHadrCand().dz():0",float, doc="d_{z} of lead track with respect to PV, in cm (with sign)",precision=14),

# these are too many, we may have to suppress some
rawIso = Var( "tauID('byCombinedIsolationDeltaBetaCorrRaw3Hits')", float, doc = "combined isolation (deltaBeta corrections)", precision=10),
rawIsodR03 = Var( "(tauID('chargedIsoPtSumdR03')+max(0.,tauID('neutralIsoPtSumdR03')-0.072*tauID('puCorrPtSum')))", float, doc = "combined isolation (deltaBeta corrections, dR=0.3)", precision=10),
chargedIso = Var( "tauID('chargedIsoPtSum')", float, doc = "charged isolation", precision=10),
neutralIso = Var( "tauID('neutralIsoPtSum')", float, doc = "neutral (photon) isolation", precision=10),
puCorr = Var( "tauID('puCorrPtSum')", float, doc = "pileup correction", precision=10),
photonsOutsideSignalCone = Var( "tauID('photonPtSumOutsideSignalCone')", float, doc = "sum of photons outside signal cone", precision=10),
rawIso = Var("?isTauIDAvailable('byCombinedIsolationDeltaBetaCorrRaw3Hits')?tauID('byCombinedIsolationDeltaBetaCorrRaw3Hits'):-1", float, doc = "combined isolation (deltaBeta corrections)", precision=10),
rawIsodR03 = Var("?isTauIDAvailable('chargedIsoPtSumdR03')?(tauID('chargedIsoPtSumdR03')+max(0.,tauID('neutralIsoPtSumdR03')-0.072*tauID('puCorrPtSum'))):-1", float, doc = "combined isolation (deltaBeta corrections, dR=0.3)", precision=10),
chargedIso = Var("?isTauIDAvailable('chargedIsoPtSum')?tauID('chargedIsoPtSum'):-1", float, doc = "charged isolation", precision=10),
neutralIso = Var("?isTauIDAvailable('neutralIsoPtSum')?tauID('neutralIsoPtSum'):-1", float, doc = "neutral (photon) isolation", precision=10),
puCorr = Var("?isTauIDAvailable('puCorrPtSum')?tauID('puCorrPtSum'):-1", float, doc = "pileup correction", precision=10),
photonsOutsideSignalCone = Var("?isTauIDAvailable('photonPtSumOutsideSignalCone')?tauID('photonPtSumOutsideSignalCone'):-1", float, doc = "sum of photons outside signal cone", precision=10),

idAntiMu = _tauIdWPMask("againstMuon%s3", choices=("Loose","Tight"), doc= "Anti-muon discriminator V3: "),
idAntiEleDeadECal = Var("tauID('againstElectronDeadECAL')", bool, doc = "Anti-electron dead-ECal discriminator"),
idAntiEleDeadECal = Var("(?isTauIDAvailable('againstElectronDeadECAL')?tauID('againstElectronDeadECAL'):-1) > 0", bool, doc = "Anti-electron dead-ECal discriminator"),

)

_deepTauVars2017v2p1 = cms.PSet(
rawDeepTau2017v2p1VSe = Var("tauID('byDeepTau2017v2p1VSeraw')", float, doc="byDeepTau2017v2p1VSe raw output discriminator (deepTau2017v2p1)", precision=10),
rawDeepTau2017v2p1VSmu = Var("tauID('byDeepTau2017v2p1VSmuraw')", float, doc="byDeepTau2017v2p1VSmu raw output discriminator (deepTau2017v2p1)", precision=10),
rawDeepTau2017v2p1VSjet = Var("tauID('byDeepTau2017v2p1VSjetraw')", float, doc="byDeepTau2017v2p1VSjet raw output discriminator (deepTau2017v2p1)", precision=10),
rawDeepTau2017v2p1VSe = Var("?isTauIDAvailable('byDeepTau2017v2p1VSeraw')?tauID('byDeepTau2017v2p1VSeraw'):-1", float, doc="byDeepTau2017v2p1VSe raw output discriminator (deepTau2017v2p1)", precision=10),
rawDeepTau2017v2p1VSmu = Var("?isTauIDAvailable('byDeepTau2017v2p1VSmuraw')?tauID('byDeepTau2017v2p1VSmuraw'):-1", float, doc="byDeepTau2017v2p1VSmu raw output discriminator (deepTau2017v2p1)", precision=10),
rawDeepTau2017v2p1VSjet = Var("?isTauIDAvailable('byDeepTau2017v2p1VSjetraw')?tauID('byDeepTau2017v2p1VSjetraw'):-1", float, doc="byDeepTau2017v2p1VSjet raw output discriminator (deepTau2017v2p1)", precision=10),
idDeepTau2017v2p1VSe = _tauIdWPMask("by%sDeepTau2017v2p1VSe",
choices=("VVVLoose","VVLoose","VLoose","Loose","Medium","Tight","VTight","VVTight"),
doc="byDeepTau2017v2p1VSe ID working points (deepTau2017v2p1)"),
Expand All @@ -97,9 +99,9 @@ def _tauIdWPMask(pattern, choices, doc="", from_raw=False, wp_thrs=None):
doc="byDeepTau2017v2p1VSjet ID working points (deepTau2017v2p1)"),
)
_deepTauVars2018v2p5 = cms.PSet(
rawDeepTau2018v2p5VSe = Var("tauID('byDeepTau2018v2p5VSeraw')", float, doc="byDeepTau2018v2p5VSe raw output discriminator (deepTau2018v2p5)", precision=10),
rawDeepTau2018v2p5VSmu = Var("tauID('byDeepTau2018v2p5VSmuraw')", float, doc="byDeepTau2018v2p5VSmu raw output discriminator (deepTau2018v2p5)", precision=10),
rawDeepTau2018v2p5VSjet = Var("tauID('byDeepTau2018v2p5VSjetraw')", float, doc="byDeepTau2018v2p5VSjet raw output discriminator (deepTau2018v2p5)", precision=10),
rawDeepTau2018v2p5VSe = Var("?isTauIDAvailable('byDeepTau2018v2p5VSeraw')?tauID('byDeepTau2018v2p5VSeraw'):-1", float, doc="byDeepTau2018v2p5VSe raw output discriminator (deepTau2018v2p5)", precision=10),
rawDeepTau2018v2p5VSmu = Var("?isTauIDAvailable('byDeepTau2018v2p5VSmuraw')?tauID('byDeepTau2018v2p5VSmuraw'):-1", float, doc="byDeepTau2018v2p5VSmu raw output discriminator (deepTau2018v2p5)", precision=10),
rawDeepTau2018v2p5VSjet = Var("?isTauIDAvailable('byDeepTau2018v2p5VSjetraw')?tauID('byDeepTau2018v2p5VSjetraw'):-1", float, doc="byDeepTau2018v2p5VSjet raw output discriminator (deepTau2018v2p5)", precision=10),
idDeepTau2018v2p5VSe = _tauIdWPMask("by%sDeepTau2018v2p5VSe",
choices=("VVVLoose","VVLoose","VLoose","Loose","Medium","Tight","VTight","VVTight"),
doc="byDeepTau2018v2p5VSe ID working points (deepTau2018v2p5)"),
Expand All @@ -111,10 +113,25 @@ def _tauIdWPMask(pattern, choices, doc="", from_raw=False, wp_thrs=None):
doc="byDeepTau2018v2p5VSjet ID working points (deepTau2018v2p5)"),
)

_pnet2023 = cms.PSet(
decayModePNet = Var("?isTauIDAvailable('byPNetDecayMode')?tauID('byPNetDecayMode'):-1", "int16",doc="decay mode of the highest tau score of ParticleNet"),
rawPNetVSe = Var("?isTauIDAvailable('byPNetVSeraw')?tauID('byPNetVSeraw'):-1", float, doc="raw output of ParticleNetVsE discriminator (PNet 2023)", precision=10),
rawPNetVSmu = Var("?isTauIDAvailable('byPNetVSmuraw')?tauID('byPNetVSmuraw'):-1", float, doc="raw output of ParticleNetVsMu discriminator (PNet 2023)", precision=10),
rawPNetVSjet = Var("?isTauIDAvailable('byPNetVSjetraw')?tauID('byPNetVSjetraw'):-1", float, doc="raw output of ParticleNetVsJet discriminator (PNet 2023)", precision=10),
ptCorrPNet = Var("?isTauIDAvailable('byPNetPtCorr')?tauID('byPNetPtCorr'):1", float, doc="pt correction (PNet 2023)", precision=10),
qConfPNet = Var("?isTauIDAvailable('byPNetQConf')?tauID('byPNetQConf'):0", float, doc="signed charge confidence (PNet 2023)", precision=10),
probDM0PNet = Var("?isTauIDAvailable('byPNetProb1h0pi0')?tauID('byPNetProb1h0pi0'):-1", float, doc="normalised probablity of decayMode 0, 1h+0pi0 (PNet 2023)", precision=10),
probDM1PNet = Var("?isTauIDAvailable('byPNetProb1h1pi0')?tauID('byPNetProb1h1pi0'):-1", float, doc="normalised probablity of decayMode 1, 1h+1pi0 (PNet 2023)", precision=10),
probDM2PNet = Var("?isTauIDAvailable('byPNetProb1h2pi0')?tauID('byPNetProb1h2pi0'):-1", float, doc="normalised probablity of decayMode 2, 1h+2pi0 (PNet 2023)", precision=10),
probDM10PNet = Var("?isTauIDAvailable('byPNetProb3h0pi0')?tauID('byPNetProb3h0pi0'):-1", float, doc="normalised probablity of decayMode 10, 3h+0pi0 (PNet 2023)", precision=10),
probDM11PNet = Var("?isTauIDAvailable('byPNetProb3h1pi0')?tauID('byPNetProb3h1pi0'):-1", float, doc="normalised probablity of decayMode 11, 3h+1pi0 (PNet 2023)", precision=10),
)

_variablesMiniV2 = cms.PSet(
_tauVarsBase,
_deepTauVars2017v2p1,
_deepTauVars2018v2p5
_deepTauVars2018v2p5,
_pnet2023
)

tauTable.variables = _variablesMiniV2
Expand Down
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