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New MVA-based Tau-Ids (update) #146

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merged 14 commits into from
Apr 4, 2018
Merged

New MVA-based Tau-Ids (update) #146

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d401c19
Merged master from repository cms-nanoAOD with cms-merge-topic
mbluj Mar 26, 2018
33919f8
Add payloads for tau-Id MVAIso 2017v2
mbluj Mar 27, 2018
7bc2e4a
Add MVAIso tau-Id 2017v2
mbluj Mar 27, 2018
505a673
Move definitions of new MVA tau-Ids to a specific cff file
mbluj Mar 27, 2018
7500553
Use correct eras, add MVAIso2017v1
mbluj Mar 27, 2018
761163c
Add cut-based isolation WPs
mbluj Mar 28, 2018
c87de85
correct eras, comment out idCombIsodR03 due to incorrect behavior
mbluj Mar 28, 2018
4b6743d
further era corrections
mbluj Mar 28, 2018
6c4b146
fix bug in eras handling
mbluj Apr 3, 2018
46ec6cf
add rawIso dR=0.3, remove cut-base WPs and footprintCorr
mbluj Apr 3, 2018
0312498
remove MVAIso oldDM dR=0.3 and newDM with 2015 training
mbluj Apr 3, 2018
b5e007e
remove instead commenting out
mbluj Apr 3, 2018
5df8704
keep all MVAIso 2015 Tau-Ids and remove 2017v1/2 ones for 80X
mbluj Apr 3, 2018
60b48d2
Add era modifiers to NanoDQM
mbluj Apr 4, 2018
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20 changes: 20 additions & 0 deletions PhysicsTools/NanoAOD/python/nanoDQM_cff.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,27 @@
import FWCore.ParameterSet.Config as cms

from PhysicsTools.NanoAOD.nanoDQM_cfi import nanoDQM
from PhysicsTools.NanoAOD.nanoDQM_tools_cff import *

## Modify plots accordingly to era
from Configuration.StandardSequences.Eras import eras
_vplots80X = nanoDQM.vplots.clone()
# Tau plots
_tauPlots80X = cms.VPSet()
for plot in _vplots80X.Tau.plots:
if plot.name.value().find("MVA")>-1 and plot.name.value().find("2017")>-1:
continue
_tauPlots80X.append(plot)
_tauPlots80X.append(Plot1D('idMVAnewDM', 'idMVAnewDM', 64, -0.5, 63.5, 'IsolationMVArun2v1DBnewDMwLT ID working point: bitmask 1 = VLoose, 2 = Loose, 4 = Medium, 8 = Tight, 16 = VTight, 32 = VVTight'))
_tauPlots80X.append(Plot1D('idMVAoldDMdR03', 'idMVAoldDMdR03', 64, -0.5, 63.5, 'IsolationMVArun2v1DBdR03oldDMwLT ID working point: bitmask 1 = VLoose, 2 = Loose, 4 = Medium, 8 = Tight, 16 = VTight, 32 = VVTight'))
_tauPlots80X.append(Plot1D('rawMVAnewDM', 'rawMVAnewDM', 20, -1, 1, 'byIsolationMVArun2v1DBnewDMwLT raw output discriminator'))
_tauPlots80X.append(Plot1D('rawMVAoldDMdR03', 'rawMVAoldDMdR03', 20, -1, 1, 'byIsolationMVArun2v1DBdR03oldDMwLT raw output discriminator'))
_vplots80X.Tau.plots = _tauPlots80X
eras.run2_miniAOD_80XLegacy.toModify(nanoDQM,
vplots = _vplots80X
)

## MC
nanoDQMMC = nanoDQM.clone()
nanoDQMMC.vplots.Electron.sels.Prompt = cms.string("genPartFlav == 1")
nanoDQMMC.vplots.Muon.sels.Prompt = cms.string("genPartFlav == 1")
Expand Down
14 changes: 9 additions & 5 deletions PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
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Expand Up @@ -439,16 +439,17 @@
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'),
Plot1D('footprintCorr', 'footprintCorr', 20, 0, 30, 'footprint correction'),
Plot1D('genPartFlav', 'genPartFlav', 6, -0.5, 5.5, 'Flavour of genParticle for MC matching to status==2 taus: 1 = prompt electron, 2 = prompt muon, 3 = tau->e decay, 4 = tau->mu decay, 5 = hadronic tau decay, 0 = unknown or unmatched'),
NoPlot('genPartIdx'),
Plot1D('idAntiEle', 'idAntiEle', 32, -0.5, 31.5, 'Anti-electron MVA discriminator V6: bitmask 1 = VLoose, 2 = Loose, 4 = Medium, 8 = Tight, 16 = VTight'),
Plot1D('idAntiMu', 'idAntiMu', 4, -0.5, 3.5, 'Anti-muon discriminator V3: : bitmask 1 = Loose, 2 = Tight'),
Plot1D('idDecayMode', 'idDecayMode', 2, -0.5, 1.5, "tauID('decayModeFinding')"),
Plot1D('idDecayModeNewDMs', 'idDecayModeNewDMs', 2, -0.5, 1.5, "tauID('decayModeFindingNewDMs')"),
Plot1D('idMVAnewDM', 'idMVAnewDM', 64, -0.5, 63.5, 'IsolationMVArun2v1DBnewDMwLT ID working point: bitmask 1 = VLoose, 2 = Loose, 4 = Medium, 8 = Tight, 16 = VTight, 32 = VVTight'),
Plot1D('idMVAnewDM2017v2', 'idMVAnewDM2017v2', 128, -0.5, 127.5, 'IsolationMVArun2v1DBnewDMwLT ID working point (2017v2): bitmask 1 = VVLoose, 2 = VLoose, 4 = Loose, 8 = Medium, 16 = Tight, 32 = VTight, 64 = VVTight'),
Plot1D('idMVAoldDM', 'idMVAoldDM', 64, -0.5, 63.5, 'IsolationMVArun2v1DBoldDMwLT ID working point: bitmask 1 = VLoose, 2 = Loose, 4 = Medium, 8 = Tight, 16 = VTight, 32 = VVTight'),
Plot1D('idMVAoldDMdR03', 'idMVAoldDMdR03', 64, -0.5, 63.5, 'IsolationMVArun2v1DBdR03oldDMwLT ID working point: bitmask 1 = VLoose, 2 = Loose, 4 = Medium, 8 = Tight, 16 = VTight, 32 = VVTight'),
Plot1D('idMVAoldDM2017v1', 'idMVAoldDM2017v1', 128, -0.5, 127.5, 'IsolationMVArun2v1DBoldDMwLT ID working point (2017v1): bitmask 1 = VVLoose, 2 = VLoose, 4 = Loose, 8 = Medium, 16 = Tight, 32 = VTight, 64 = VVTight'),
Plot1D('idMVAoldDM2017v2', 'idMVAoldDM2017v2', 128, -0.5, 127.5, 'IsolationMVArun2v1DBoldDMwLT ID working point (2017v2): bitmask 1 = VVLoose, 2 = VLoose, 4 = Loose, 8 = Medium, 16 = Tight, 32 = VTight, 64 = VVTight'),
Plot1D('idMVAoldDMdR032017v2', 'idMVAoldDMdR032017v2', 128, -0.5, 127.5, 'IsolationMVArun2v1DBdR03oldDMwLT ID working point (217v2): bitmask 1 = VVLoose, 2 = VLoose, 4 = Loose, 8 = Medium, 16 = Tight, 32 = VTight, 64 = VVTight'),
NoPlot('jetIdx'),
Plot1D('leadTkDeltaEta', 'leadTkDeltaEta', 20, -0.1, 0.1, 'eta of the leading track, minus tau eta'),
Plot1D('leadTkDeltaPhi', 'leadTkDeltaPhi', 20, -0.1, 0.1, 'phi of the leading track, minus tau phi'),
Expand All @@ -462,9 +463,12 @@
Plot1D('rawAntiEle', 'rawAntiEle', 20, -100, 100, 'Anti-electron MVA discriminator V6 raw output discriminator'),
Plot1D('rawAntiEleCat', 'rawAntiEleCat', 17, -1.5, 15.5, 'Anti-electron MVA discriminator V6 category'),
Plot1D('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
Plot1D('rawMVAnewDM', 'rawMVAnewDM', 20, -1, 1, 'byIsolationMVArun2v1DBnewDMwLT raw output discriminator'),
Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
Plot1D('rawMVAnewDM2017v2', 'rawMVAnewDM2017v2', 20, -1, 1, 'byIsolationMVArun2v1DBnewDMwLT raw output discriminator (2017v2)'),
Plot1D('rawMVAoldDM', 'rawMVAoldDM', 20, -1, 1, 'byIsolationMVArun2v1DBoldDMwLT raw output discriminator'),
Plot1D('rawMVAoldDMdR03', 'rawMVAoldDMdR03', 20, -1, 1, 'byIsolationMVArun2v1DBdR03oldDMwLT raw output discriminator'),
Plot1D('rawMVAoldDM2017v1', 'rawMVAoldDM2017v1', 20, -1, 1, 'byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2017v1)'),
Plot1D('rawMVAoldDM2017v2', 'rawMVAoldDM2017v2', 20, -1, 1, 'byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2017v2)'),
Plot1D('rawMVAoldDMdR032017v2', 'rawMVAoldDMdR032017v2', 20, -1, 1, 'byIsolationMVArun2v1DBdR03oldDMwLT raw output discriminator (2017v2)'),
)
),
TkMET = cms.PSet(
Expand Down
89 changes: 73 additions & 16 deletions PhysicsTools/NanoAOD/python/taus_cff.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,26 +3,40 @@
from PhysicsTools.JetMCAlgos.TauGenJets_cfi import tauGenJets
from PhysicsTools.JetMCAlgos.TauGenJetsDecayModeSelectorAllHadrons_cfi import tauGenJetsSelectorAllHadrons

##################### Updated tau collection with MVA-based tau-Ids rerun #######
# Used only in some eras
from PhysicsTools.NanoAOD.taus_updatedMVAIds_cff import *

##################### User floats producers, selectors ##########################


finalTaus = cms.EDFilter("PATTauRefSelector",
src = cms.InputTag("slimmedTaus"),
cut = cms.string("pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || tauID('byVLooseIsolationMVArun2v1DBoldDMwLT') || tauID('byVLooseIsolationMVArun2v1DBnewDMwLT') || tauID('byVLooseIsolationMVArun2v1DBdR03oldDMwLT'))")
src = cms.InputTag("slimmedTausUpdated"),
cut = cms.string("pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || tauID('byVLooseIsolationMVArun2v1DBoldDMwLT2015') || tauID('byVLooseIsolationMVArun2v1DBnewDMwLT') || tauID('byVLooseIsolationMVArun2v1DBdR03oldDMwLT') || tauID('byVVLooseIsolationMVArun2v1DBoldDMwLT') || tauID('byVVLooseIsolationMVArun2v1DBoldDMwLT2017v2') || tauID('byVVLooseIsolationMVArun2v1DBnewDMwLT2017v2') || tauID('byVVLooseIsolationMVArun2v1DBdR03oldDMwLT2017v2'))")
)
for era in [eras.run2_nanoAOD_94XMiniAODv1,eras.run2_nanoAOD_92X]:
era.toModify(finalTaus,
cut = cms.string("pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || tauID('byVLooseIsolationMVArun2v1DBoldDMwLT') || tauID('byVLooseIsolationMVArun2v1DBnewDMwLT') || tauID('byVLooseIsolationMVArun2v1DBdR03oldDMwLT') || tauID('byVVLooseIsolationMVArun2v1DBoldDMwLT2017v1') || tauID('byVVLooseIsolationMVArun2v1DBoldDMwLT2017v2') || tauID('byVVLooseIsolationMVArun2v1DBnewDMwLT2017v2') || tauID('byVVLooseIsolationMVArun2v1DBdR03oldDMwLT2017v2'))")
)
eras.run2_miniAOD_80XLegacy.toModify(finalTaus,
src = cms.InputTag("slimmedTaus"),
cut = cms.string("pt > 18 && tauID('decayModeFindingNewDMs') && (tauID('byLooseCombinedIsolationDeltaBetaCorr3Hits') || tauID('byVLooseIsolationMVArun2v1DBoldDMwLT') || tauID('byVLooseIsolationMVArun2v1DBnewDMwLT') || tauID('byVLooseIsolationMVArun2v1DBdR03oldDMwLT'))")
)

##################### Tables for final output and docs ##########################
def _tauIdWPMask(pattern, choices, doc=""):
return Var(" + ".join(["%d * tauID('%s')" % (pow(2,i), pattern % c) for (i,c) in enumerate(choices)]), "uint8",
doc=doc+": bitmask "+", ".join(["%d = %s" % (pow(2,i),c) for (i,c) in enumerate(choices)]))
def _tauId2WPMask(pattern,doc):
return _tauIdWPMask(pattern,choices=("Loose","Tight"),doc=doc)
def _tauId3WPMask(pattern,doc):
return _tauIdWPMask(pattern,choices=("Loose","Medium","Tight"),doc=doc)
def _tauId5WPMask(pattern,doc):
return _tauIdWPMask(pattern,choices=("VLoose","Loose","Medium","Tight","VTight"),doc=doc)
def _tauId6WPMask(pattern,doc):
return _tauIdWPMask(pattern,choices=("VLoose","Loose","Medium","Tight","VTight","VVTight"),doc=doc)

def _tauId7WPMask(pattern,doc):
return _tauIdWPMask(pattern,choices=("VVLoose","VLoose","Loose","Medium","Tight","VTight","VVTight"),doc=doc)

tauTable = cms.EDProducer("SimpleCandidateFlatTableProducer",
src = cms.InputTag("linkedObjects","taus"),
Expand All @@ -47,32 +61,73 @@ def _tauId6WPMask(pattern,doc):

# 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),
footprintCorr = Var( "tauID('footprintCorrection')", float, doc = "footprint correction", precision=10),
photonsOutsideSignalCone = Var( "tauID('photonPtSumOutsideSignalCone')", float, doc = "sum of photons outside signal cone", precision=10),

rawMVAnewDM = Var( "tauID('byIsolationMVArun2v1DBnewDMwLTraw')",float, doc="byIsolationMVArun2v1DBnewDMwLT raw output discriminator",precision=10),
rawMVAoldDM = Var( "tauID('byIsolationMVArun2v1DBoldDMwLTraw')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator",precision=10),
rawMVAoldDMdR03 = Var( "tauID('byIsolationMVArun2v1DBdR03oldDMwLTraw')",float, doc="byIsolationMVArun2v1DBdR03oldDMwLT raw output discriminator",precision=10),

rawAntiEle = Var("tauID('againstElectronMVA6Raw')", float, doc= "Anti-electron MVA discriminator V6 raw output discriminator", precision=10),
rawAntiEleCat = Var("tauID('againstElectronMVA6category')", int, doc="Anti-electron MVA discriminator V6 category"),

idAntiMu = _tauId2WPMask("againstMuon%s3", doc= "Anti-muon discriminator V3: "),
idAntiEle = _tauId5WPMask("againstElectron%sMVA6", doc= "Anti-electron MVA discriminator V6"),
idMVAnewDM = _tauId6WPMask( "by%sIsolationMVArun2v1DBnewDMwLT", doc="IsolationMVArun2v1DBnewDMwLT ID working point"),
idMVAoldDM = _tauId6WPMask( "by%sIsolationMVArun2v1DBoldDMwLT", doc="IsolationMVArun2v1DBoldDMwLT ID working point"),
idMVAoldDMdR03 = _tauId6WPMask( "by%sIsolationMVArun2v1DBdR03oldDMwLT", doc="IsolationMVArun2v1DBdR03oldDMwLT ID working point"),

idAntiEle = _tauId5WPMask("againstElectron%sMVA6", doc= "Anti-electron MVA discriminator V6"),

# isoCI3hit = Var( "tauID("byCombinedIsolationDeltaBetaCorrRaw3Hits")" doc="byCombinedIsolationDeltaBetaCorrRaw3Hits raw output discriminator"),
# photonOutsideSigCone = Var( "tauID("photonPtSumOutsideSignalCone")" doc="photonPtSumOutsideSignalCone raw output discriminator"),


)
)

_mvaIsoVars2015 = cms.PSet(
rawMVAoldDM = Var( "tauID('byIsolationMVArun2v1DBoldDMwLTraw')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2015)",precision=10),
rawMVAnewDM = Var( "tauID('byIsolationMVArun2v1DBnewDMwLTraw')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2015)",precision=10),
rawMVAoldDMdR03 = Var( "tauID('byIsolationMVArun2v1DBdR03oldDMwLTraw')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2015)",precision=10),
idMVAnew = _tauId6WPMask( "by%sIsolationMVArun2v1DBnewDMwLT", doc="IsolationMVArun2v1DBnewDMwLT ID working point (2015)"),
idMVAoldDM = _tauId6WPMask( "by%sIsolationMVArun2v1DBoldDMwLT", doc="IsolationMVArun2v1DBoldDMwLT ID working point (2015)"),
idMVAoldDMdR03 = _tauId6WPMask( "by%sIsolationMVArun2v1DBdR03oldDMwLT", doc="IsolationMVArun2v1DBoldDMdR0p3wLT ID working point (2015)")
)
_mvaIsoVars2015Reduced = cms.PSet(
rawMVAoldDM = Var( "tauID('byIsolationMVArun2v1DBoldDMwLTraw2015')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2015)",precision=10),
idMVAoldDM = _tauId6WPMask( "by%sIsolationMVArun2v1DBoldDMwLT2015", doc="IsolationMVArun2v1DBoldDMwLT ID working point (2015)"),
)
_mvaIsoVars2017v1 = cms.PSet(
rawMVAoldDM2017v1 = Var( "tauID('byIsolationMVArun2v1DBoldDMwLTraw')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2017v1)",precision=10),
idMVAoldDM2017v1 = _tauId7WPMask( "by%sIsolationMVArun2v1DBoldDMwLT", doc="IsolationMVArun2v1DBoldDMwLT ID working point (2017v1)")
)
_mvaIsoVars2017v2 = cms.PSet(
rawMVAnewDM2017v2 = Var( "tauID('byIsolationMVArun2v1DBnewDMwLTraw2017v2')",float, doc="byIsolationMVArun2v1DBnewDMwLT raw output discriminator (2017v2)",precision=10),
rawMVAoldDM2017v2 = Var( "tauID('byIsolationMVArun2v1DBoldDMwLTraw2017v2')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2017v2)",precision=10),
rawMVAoldDMdR032017v2 = Var( "tauID('byIsolationMVArun2v1DBdR03oldDMwLTraw2017v2')",float, doc="byIsolationMVArun2v1DBdR03oldDMwLT raw output discriminator (2017v2)",precision=10),
idMVAnewDM2017v2 = _tauId7WPMask( "by%sIsolationMVArun2v1DBnewDMwLT2017v2", doc="IsolationMVArun2v1DBnewDMwLT ID working point (2017v2)"),
idMVAoldDM2017v2 = _tauId7WPMask( "by%sIsolationMVArun2v1DBoldDMwLT2017v2", doc="IsolationMVArun2v1DBoldDMwLT ID working point (2017v2)"),
idMVAoldDMdR032017v2 = _tauId7WPMask( "by%sIsolationMVArun2v1DBdR03oldDMwLT2017v2", doc="IsolationMVArun2v1DBoldDMdR0p3wLT ID working point (2017v2)")
)
_variablesMiniV2 = cms.PSet(
tauTable.variables.clone(),
_mvaIsoVars2015Reduced,
_mvaIsoVars2017v1,
_mvaIsoVars2017v2
)
_variablesMiniV1 = _variablesMiniV2.clone()
_variablesMiniV1.rawMVAoldDM = Var( "tauID('byIsolationMVArun2v1DBoldDMwLTraw')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2015)",precision=10)
_variablesMiniV1.rawMVAoldDM2017v1 = Var( "tauID('byIsolationMVArun2v1DBoldDMwLTraw2017v1')",float, doc="byIsolationMVArun2v1DBoldDMwLT raw output discriminator (2017v1)",precision=10)
_variablesMiniV1.idMVAoldDM = _tauId6WPMask( "by%sIsolationMVArun2v1DBoldDMwLT", doc="IsolationMVArun2v1DBoldDMwLT ID working point (2015)")
_variablesMiniV1.idMVAoldDM2017v1 = _tauId7WPMask( "by%sIsolationMVArun2v1DBoldDMwLT2017v1", doc="IsolationMVArun2v1DBoldDMwLT ID working point (2017v1)")
_variables80X = cms.PSet(
tauTable.variables.clone(),
_mvaIsoVars2015
)
eras.run2_nanoAOD_94XMiniAODv2.toModify(tauTable,
variables = _variablesMiniV2
)
for era in [eras.run2_nanoAOD_94XMiniAODv1,eras.run2_nanoAOD_92X]:
era.toModify(tauTable,
variables = _variablesMiniV1
)
eras.run2_miniAOD_80XLegacy.toModify(tauTable,
variables = _variables80X
)
tauGenJets.GenParticles = cms.InputTag("prunedGenParticles")
tauGenJets.includeNeutrinos = cms.bool(False)

Expand Down Expand Up @@ -134,7 +189,9 @@ def _tauId6WPMask(pattern,doc):
)


tauSequence = cms.Sequence(finalTaus)
tauSequence = cms.Sequence(patTauMVAIDsSeq + finalTaus)
_tauSequence80X = cms.Sequence(finalTaus)
eras.run2_miniAOD_80XLegacy.toReplaceWith(tauSequence,_tauSequence80X)
tauTables = cms.Sequence(tauTable)
tauMC = cms.Sequence(tauGenJets + tauGenJetsSelectorAllHadrons + genVisTaus + genVisTauTable + tausMCMatchLepTauForTable + tausMCMatchHadTauForTable + tauMCTable)

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