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DeepTau v2p5 in nanoAOD #38726

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merged 20 commits into from
Aug 5, 2022
Merged

DeepTau v2p5 in nanoAOD #38726

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12a99c2
add WP definitions to runTauIdMVA
ofivite Jun 30, 2022
776363f
vars for DeepTau v2p5 scores and WPs to nano
ofivite Jun 30, 2022
be809d4
bitmask to int in previous WPMask
ofivite Jun 30, 2022
4ecd8ff
unify into single _tauIdWPMask()
ofivite Jun 30, 2022
2f3c2e6
update masking functions for boosted cfg
ofivite Jul 11, 2022
b605338
move WPs to separate module and rm deepcopy
ofivite Jul 11, 2022
a5a1923
add cut on VVVLoose wp vs jet for DeepTau v2p5
ofivite Jul 11, 2022
a9e6e10
fix _tauIdWPMask in from_raw mode
ofivite Jul 11, 2022
90ff2ad
rm import, add DeepTau v2p5 vars to DQM tools
ofivite Jul 13, 2022
fb1c3e0
rm deepcopy import
ofivite Jul 13, 2022
a0befdb
update threshold parsing from % to format()
ofivite Jul 13, 2022
1ff8c54
change wp_definition to test_bit()
ofivite Jul 13, 2022
030ad71
update WP ranges in DQM tools
ofivite Jul 13, 2022
719cd28
not acess deepTauv2p5 with old eras
mbluj Jul 13, 2022
df1aa3d
read WPs of deepTauv2p5 directly from miniAOD
mbluj Jul 13, 2022
90ce7ec
fix subevrsion for deepTau v2
mbluj Jul 13, 2022
25adb35
switch off storing of deepTau v2p5 for old (previously forgotten) eras
mbluj Jul 14, 2022
7e52abc
Add customization to add items missing in Run-2 UL samples for nano v…
mbluj Jul 25, 2022
bd03a90
Run deepTauID v2p5 and add it to tau tables for run2_nanoAOD_106Xv2 a…
mbluj Aug 1, 2022
d0122b1
Add suffixes to protect against recreaction of tauId modules with sam…
mbluj Aug 2, 2022
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18 changes: 9 additions & 9 deletions PhysicsTools/NanoAOD/python/boostedTaus_cff.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
from PhysicsTools.NanoAOD.nano_eras_cff import *

##################### Import reusable funtions and objects from std taus ########
from PhysicsTools.NanoAOD.taus_cff import _tauId2WPMask,_tauId5WPMask,_tauId7WPMask,tausMCMatchLepTauForTable,tausMCMatchHadTauForTable,tauMCTable
from PhysicsTools.NanoAOD.taus_cff import _tauIdWPMask, tausMCMatchLepTauForTable, tausMCMatchHadTauForTable,tauMCTable

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

Expand Down Expand Up @@ -39,25 +39,25 @@
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),
idAntiMu = _tauId2WPMask("againstMuon%s3", doc= "Anti-muon discriminator V3: ")
idAntiMu = _tauIdWPMask("againstMuon%s3", choices=("Loose","Tight"), doc= "Anti-muon discriminator V3: ")
)
#MVA 2017 v2 variables
_boostedTauVarsMVAIso = cms.PSet(
rawMVAoldDM2017v2 = Var("tauID('byIsolationMVArun2DBoldDMwLTraw')",float, doc="byIsolationMVArun2DBoldDMwLT raw output discriminator (2017v2)",precision=10),
rawMVAnewDM2017v2 = Var("tauID('byIsolationMVArun2DBnewDMwLTraw')",float,doc='byIsolationMVArun2DBnewDMwLT raw output discriminator (2017v2)',precision=10),
idMVAnewDM2017v2 = _tauId7WPMask("by%sIsolationMVArun2DBnewDMwLT", doc="IsolationMVArun2DBnewDMwLT ID working point (2017v2)"),
idMVAoldDM2017v2 = _tauId7WPMask("by%sIsolationMVArun2DBoldDMwLT",doc="IsolationMVArun2DBoldDMwLT ID working point (2017v2)"),
idMVAnewDM2017v2 = _tauIdWPMask("by%sIsolationMVArun2DBnewDMwLT", choices=("VVLoose","VLoose","Loose","Medium","Tight","VTight","VVTight"), doc="IsolationMVArun2DBnewDMwLT ID working point (2017v2)"),
idMVAoldDM2017v2 = _tauIdWPMask("by%sIsolationMVArun2DBoldDMwLT",choices=("VVLoose","VLoose","Loose","Medium","Tight","VTight","VVTight"), doc="IsolationMVArun2DBoldDMwLT ID working point (2017v2)"),
)
#MVA 2017 v2 dR<0.3 variables
_boostedTauVarsMVAIsoDr03 = cms.PSet(
rawMVAoldDMdR032017v2 = Var("tauID('byIsolationMVArun2017v2DBoldDMdR0p3wLTraw2017')",float,doc='byIsolationMVArun2DBoldDMdR0p3wLT raw output discriminator (2017v2)'),
idMVAoldDMdR032017v2 = _tauId7WPMask("by%sIsolationMVArun2017v2DBoldDMdR0p3wLT2017",doc="IsolationMVArun2DBoldDMdR0p3wLT ID working point (2017v2)")
idMVAoldDMdR032017v2 = _tauIdWPMask("by%sIsolationMVArun2017v2DBoldDMdR0p3wLT2017",choices=("VVLoose","VLoose","Loose","Medium","Tight","VTight","VVTight"),doc="IsolationMVArun2DBoldDMdR0p3wLT ID working point (2017v2)")
)
#AntiEle MVA 2018 variables
_boostedTauVarsAntiEleMVA = cms.PSet(
rawAntiEle2018 = Var("tauID('againstElectronMVA6Raw')", float, doc= "Anti-electron MVA discriminator V6 raw output discriminator (2018)", precision=10),
rawAntiEleCat2018 = Var("tauID('againstElectronMVA6category')", int, doc="Anti-electron MVA discriminator V6 category (2018)"),
idAntiEle2018 = _tauId5WPMask("againstElectron%sMVA6", doc= "Anti-electron MVA discriminator V6 (2018)")
idAntiEle2018 = _tauIdWPMask("againstElectron%sMVA6", choices=("VLoose","Loose","Medium","Tight","VTight"), doc= "Anti-electron MVA discriminator V6 (2018)")
)

boostedTauTable.variables = cms.PSet(
Expand All @@ -77,11 +77,11 @@
run2_nanoAOD_106Xv2.toModify(boostedTauTable.variables,
rawMVAoldDM2017v2 = Var("tauID('byIsolationMVArun2017v2DBoldDMwLTraw2017')",float, doc="byIsolationMVArun2DBoldDMwLT raw output discriminator (2017v2)",precision=10),
rawMVAnewDM2017v2 = Var("tauID('byIsolationMVArun2017v2DBnewDMwLTraw2017')",float,doc='byIsolationMVArun2DBnewDMwLT raw output discriminator (2017v2)',precision=10),
idMVAnewDM2017v2 = _tauId7WPMask("by%sIsolationMVArun2017v2DBnewDMwLT2017", doc="IsolationMVArun2DBnewDMwLT ID working point (2017v2)"),
idMVAoldDM2017v2 = _tauId7WPMask("by%sIsolationMVArun2017v2DBoldDMwLT2017",doc="IsolationMVArun2DBoldDMwLT ID working point (2017v2)"),
idMVAnewDM2017v2 = _tauIdWPMask("by%sIsolationMVArun2017v2DBnewDMwLT2017", choices=("VVLoose","VLoose","Loose","Medium","Tight","VTight","VVTight"),doc="IsolationMVArun2DBnewDMwLT ID working point (2017v2)"),
idMVAoldDM2017v2 = _tauIdWPMask("by%sIsolationMVArun2017v2DBoldDMwLT2017",choices=("VVLoose","VLoose","Loose","Medium","Tight","VTight","VVTight"),doc="IsolationMVArun2DBoldDMwLT ID working point (2017v2)"),
rawAntiEle2018 = Var("tauID('againstElectronMVA6Raw2018')", float, doc= "Anti-electron MVA discriminator V6 raw output discriminator (2018)", precision=10),
rawAntiEleCat2018 = Var("tauID('againstElectronMVA6category2018')", int, doc="Anti-electron MVA discriminator V6 category (2018)"),
idAntiEle2018 = _tauId5WPMask("againstElectron%sMVA62018", doc= "Anti-electron MVA discriminator V6 (2018)")
idAntiEle2018 = _tauIdWPMask("againstElectron%sMVA62018", choices=("VLoose","Loose","Medium","Tight","VTight"), doc= "Anti-electron MVA discriminator V6 (2018)")
)

boostedTausMCMatchLepTauForTable = tausMCMatchLepTauForTable.clone(
Expand Down
24 changes: 12 additions & 12 deletions PhysicsTools/NanoAOD/python/nanoDQM_cff.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,13 +13,13 @@
if (plot.name.value().find("MVA")>-1 and plot.name.value().find("2017")>-1) or (plot.name.value().find("AntiEle")>-1 and plot.name.value().find("2018")>-1) or (plot.name.value().find("AntiEleDeadECal")>-1) or (plot.name.value().find("DeepTau")>-1):
continue
_tauPlots80X.append(plot)
_tauPlots80X.extend([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('idMVAoldDM', 'idMVAoldDM', 64, -0.5, 63.5, 'IsolationMVArun2v1DBnewDMwLT 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'),
_tauPlots80X.extend([Plot1D('idMVAnewDM', 'idMVAnewDM', 11, -0.5, 10.5, 'IsolationMVArun2v1DBnewDMwLT ID working point: int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight, 6 = VVTight'),
Plot1D('idMVAoldDM', 'idMVAoldDM', 11, -0.5, 10.5, 'IsolationMVArun2v1DBnewDMwLT ID working point: int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight, 6 = VVTight'),
Plot1D('idMVAoldDMdR03', 'idMVAoldDMdR03', 11, -0.5, 10.5, 'IsolationMVArun2v1DBdR03oldDMwLT ID working point: int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight, 6 = VVTight'),
Plot1D('rawMVAnewDM', 'rawMVAnewDM', 20, -1, 1, 'byIsolationMVArun2v1DBnewDMwLT raw output discriminator'),
Plot1D('rawMVAoldDM', 'rawMVAoldDM', 20, -1, 1, 'byIsolationMVArun2v1DBnewDMwLT raw output discriminator'),
Plot1D('rawMVAoldDMdR03', 'rawMVAoldDMdR03', 20, -1, 1, 'byIsolationMVArun2v1DBdR03oldDMwLT raw output discriminator'),
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('idAntiEle', 'idAntiEle', 11, -0.5, 10.5, 'Anti-electron MVA discriminator V6: int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight'),
Plot1D('rawAnti', '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')
])
Expand All @@ -34,13 +34,13 @@
_tauPlotsPreV9.extend([
Plot1D('idDecayMode', 'idDecayMode', 2, -0.5, 1.5, "tauID('decayModeFinding')"),
Plot1D('idDecayModeNewDMs', 'idDecayModeNewDMs', 2, -0.5, 1.5, "tauID('decayModeFindingNewDMs')"),
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('idAntiEle2018', 'idAntiEle2018', 32, -0.5, 31.5, 'Anti-electron MVA discriminator V6 (2018): bitmask 1 = VLoose, 2 = Loose, 4 = Medium, 8 = Tight, 16 = VTight'),
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('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'),
Plot1D('idAntiEle', 'idAntiEle', 11, -0.5, 10.5, 'Anti-electron MVA discriminator V6: int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight'),
Plot1D('idAntiEle2018', 'idAntiEle2018', 11, -0.5, 10.5, 'Anti-electron MVA discriminator V6 (2018): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight'),
Plot1D('idMVAnewDM2017v2', 'idMVAnewDM2017v2', 11, -0.5, 10.5, 'IsolationMVArun2v1DBnewDMwLT ID working point (2017v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
Plot1D('idMVAoldDM', 'idMVAoldDM', 11, -0.5, 10.5, 'IsolationMVArun2v1DBoldDMwLT ID working point: int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight, 6 = VVTight'),
Plot1D('idMVAoldDM2017v1', 'idMVAoldDM2017v1', 11, -0.5, 10.5, 'IsolationMVArun2v1DBoldDMwLT ID working point (2017v1): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
Plot1D('idMVAoldDM2017v2', 'idMVAoldDM2017v2', 11, -0.5, 10.5, 'IsolationMVArun2v1DBoldDMwLT ID working point (2017v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
Plot1D('idMVAoldDMdR032017v2', 'idMVAoldDMdR032017v2', 11, -0.5, 10.5, 'IsolationMVArun2v1DBdR03oldDMwLT ID working point (217v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
Plot1D('rawAntiEle', 'rawAntiEle', 20, -100, 100, 'Anti-electron MVA discriminator V6 raw output discriminator'),
Plot1D('rawAntiEle2018', 'rawAntiEle2018', 20, -100, 100, 'Anti-electron MVA discriminator V6 raw output discriminator (2018)'),
Plot1D('rawAntiEleCat', 'rawAntiEleCat', 17, -1.5, 15.5, 'Anti-electron MVA discriminator V6 category'),
Expand All @@ -58,7 +58,7 @@
for plot in nanoDQM.vplots.boostedTau.plots:
_boostedTauPlotsV10.append(plot)
_boostedTauPlotsV10.extend([
Plot1D('idMVAoldDMdR032017v2', 'idMVAoldDMdR032017v2', 128, -0.5, 127.5, 'IsolationMVArun2017v2DBoldDMdR0p3wLT ID working point (2017v2): bitmask 1 = VVLoose, 2 = VLoose, 4 = Loose, 8 = Medium, 16 = Tight, 32 = VTight, 64 = VVTight'),
Plot1D('idMVAoldDMdR032017v2', 'idMVAoldDMdR032017v2', 11, -0.5, 10.5, 'IsolationMVArun2017v2DBoldDMdR0p3wLT ID working point (2017v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
Plot1D('rawMVAoldDMdR032017v2', 'rawMVAoldDMdR032017v2', 20, -1, 1, 'byIsolationMVArun2017v2DBoldDMdR0p3wLT raw output discriminator (2017v2)')
])

Expand Down
22 changes: 14 additions & 8 deletions PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -777,11 +777,14 @@
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('idAntiEleDeadECal', 'idAntiEleDeadECal', 2, -0.5, 1.5, "tauID('againstElectronDeadECAL')"),
Plot1D('idAntiMu', 'idAntiMu', 4, -0.5, 3.5, 'Anti-muon discriminator V3: : bitmask 1 = Loose, 2 = Tight'),
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('idDeepTau2017v2p1VSe', 'idDeepTau2017v2p1VSe', 256, -0.5, 255.5, 'byDeepTau2017v2p1VSe ID working points (deepTau2017v2p1): bitmask 1 = VVVLoose, 2 = VVLoose, 4 = VLoose, 8 = Loose, 16 = Medium, 32 = Tight, 64 = VTight, 128 = VVTight'),
Plot1D('idDeepTau2017v2p1VSjet', 'idDeepTau2017v2p1VSjet', 256, -0.5, 255.5, 'byDeepTau2017v2p1VSjet ID working points (deepTau2017v2p1): bitmask 1 = VVVLoose, 2 = VVLoose, 4 = VLoose, 8 = Loose, 16 = Medium, 32 = Tight, 64 = VTight, 128 = VVTight'),
Plot1D('idDeepTau2017v2p1VSmu', 'idDeepTau2017v2p1VSmu', 16, -0.5, 15.5, 'byDeepTau2017v2p1VSmu ID working points (deepTau2017v2p1): bitmask 1 = VLoose, 2 = Loose, 4 = Medium, 8 = Tight'),
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'),
Plot1D('idDeepTau2018v2p5VSe', 'idDeepTau2018v2p5VSe', 11, -0.5, 10.5, 'byDeepTau2018v2p5VSe ID working points (deepTau2018v2p5): int 1 = VVVLoose, 2 = VVLoose, 3 = VLoose, 4 = Loose, 5 = Medium, 6 = Tight, 7 = VTight, 8 = VVTight'),
Plot1D('idDeepTau2018v2p5VSjet', 'idDeepTau2018v2p5VSjet', 11, -0.5, 10.5, 'byDeepTau2018v2p5VSjet ID working points (deepTau2018v2p5): int 1 = VVVLoose, 2 = VVLoose, 3 = VLoose, 4 = Loose, 5 = Medium, 6 = Tight, 7 = VTight, 8 = VVTight'),
Plot1D('idDeepTau2018v2p5VSmu', 'idDeepTau2018v2p5VSmu', 11, -0.5, 10.5, 'byDeepTau2018v2p5VSmu ID working points (deepTau2018v2p5): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight'),
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 @@ -795,6 +798,9 @@
Plot1D('rawDeepTau2017v2p1VSe', 'rawDeepTau2017v2p1VSe', 20, 0, 1, 'byDeepTau2017v2p1VSe raw output discriminator (deepTau2017v2p1)'),
Plot1D('rawDeepTau2017v2p1VSjet', 'rawDeepTau2017v2p1VSjet', 20, 0, 1, 'byDeepTau2017v2p1VSjet raw output discriminator (deepTau2017v2p1)'),
Plot1D('rawDeepTau2017v2p1VSmu', 'rawDeepTau2017v2p1VSmu', 20, 0, 1, 'byDeepTau2017v2p1VSmu raw output discriminator (deepTau2017v2p1)'),
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('rawIso', 'rawIso', 20, 0, 200, 'combined isolation (deltaBeta corrections)'),
Plot1D('rawIsodR03', 'rawIsodR03', 20, 0, 200, 'combined isolation (deltaBeta corrections, dR=0.3)'),
)
Expand Down Expand Up @@ -842,10 +848,10 @@
Plot1D('eta', 'eta', 20, -3, 3, 'eta'),
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('idAntiEle2018', 'idAntiEle2018', 32, -0.5, 31.5, 'Anti-electron MVA discriminator V6 (2018): 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('idMVAnewDM2017v2', 'idMVAnewDM2017v2', 128, -0.5, 127.5, 'IsolationMVArun2017v2DBnewDMwLT ID working point (2017v2): bitmask 1 = VVLoose, 2 = VLoose, 4 = Loose, 8 = Medium, 16 = Tight, 32 = VTight, 64 = VVTight'),
Plot1D('idMVAoldDM2017v2', 'idMVAoldDM2017v2', 128, -0.5, 127.5, 'IsolationMVArun2017v2DBoldDMwLT ID working point (2017v2): bitmask 1 = VVLoose, 2 = VLoose, 4 = Loose, 8 = Medium, 16 = Tight, 32 = VTight, 64 = VVTight'),
Plot1D('idAntiEle2018', 'idAntiEle2018', 11, -0.5, 10.5, 'Anti-electron MVA discriminator V6 (2018): int 1 = VLoose, 2 = Loose, 3 = Medium, 4 = Tight, 5 = VTight'),
Plot1D('idAntiMu', 'idAntiMu', 11, -0.5, 10.5, 'Anti-muon discriminator V3: : int 1 = Loose, 2 = Tight'),
Plot1D('idMVAnewDM2017v2', 'idMVAnewDM2017v2', 11, -0.5, 10.5, 'IsolationMVArun2017v2DBnewDMwLT ID working point (2017v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = VVTight'),
Plot1D('idMVAoldDM2017v2', 'idMVAoldDM2017v2', 11, -0.5, 10.5, 'IsolationMVArun2017v2DBoldDMwLT ID working point (2017v2): int 1 = VVLoose, 2 = VLoose, 3 = Loose, 4 = Medium, 5 = Tight, 6 = VTight, 7 = 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'),
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