nanoDQM_cff.py

Go to the documentation of this file.

import FWCore.ParameterSet.Config as cms
import copy

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

_boostedTauPlotsV10 = cms.VPSet()
for plot in nanoDQM.vplots.boostedTau.plots:
    _boostedTauPlotsV10.append(plot)
_boostedTauPlotsV10.extend([
    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)')
])

(run2_nanoAOD_106Xv2).toModify(
    nanoDQM.vplots.boostedTau,
    plots = _boostedTauPlotsV10
)

_Electron_Run2_plots = cms.VPSet()
for plot in nanoDQM.vplots.Electron.plots:
    if 'Fall17V2' not in plot.name.value():
        _Electron_Run2_plots.append(plot)
_Electron_Run2_plots.extend([
    Plot1D('dEscaleUp', 'dEscaleUp', 100, -0.01, 0.01, '#Delta E scaleUp'),
    Plot1D('dEscaleDown', 'dEscaleDown', 100, -0.01, 0.01, '#Delta E scaleDown'),
    Plot1D('dEsigmaUp', 'dEsigmaUp', 100, -0.1, 0.1, '#Delta E sigmaUp'),
    Plot1D('dEsigmaDown', 'dEsigmaDown', 100, -0.1, 0.1, '#Delta E sigmaDown'),
    Plot1D('eCorr', 'eCorr', 20, 0.8, 1.2, 'ratio of the calibrated energy/miniaod energy'),
])
run2_egamma.toModify(
     nanoDQM.vplots.Electron,
     plots = _Electron_Run2_plots
)

_Photon_Run2_plots = cms.VPSet()
def _match(name):
    if 'Fall17V2' in name: return True
    if '_quadratic' in name: return True
    if 'hoe_PUcorr' in name: return True
    return False
for plot in nanoDQM.vplots.Photon.plots:
    if not _match(plot.name.value()):
        _Photon_Run2_plots.append(plot)
_Photon_Run2_plots.extend([
    Plot1D('pfRelIso03_all', 'pfRelIso03_all', 20, 0, 2, 'PF relative isolation dR=0.3, total (with rho*EA PU Fall17V2 corrections)'),
    Plot1D('pfRelIso03_chg', 'pfRelIso03_chg', 20, 0, 2, 'PF relative isolation dR=0.3, charged component (with rho*EA PU Fall17V2 corrections)'),
    Plot1D('dEscaleUp', 'dEscaleUp', 100, -0.01, 0.01, '#Delta E scaleUp'),
    Plot1D('dEscaleDown', 'dEscaleDown', 100, -0.01, 0.01, '#Delta E scaleDown'),
    Plot1D('dEsigmaUp', 'dEsigmaUp', 100, -0.1, 0.1, '#Delta E sigmaUp'),
    Plot1D('dEsigmaDown', 'dEsigmaDown', 100, -0.1, 0.1, '#Delta E sigmaDown'),
    Plot1D('eCorr', 'eCorr', 20, 0.8, 1.2, 'ratio of the calibrated energy/miniaod energy'),
])
run2_egamma.toModify(
     nanoDQM.vplots.Photon,
     plots = _Photon_Run2_plots
)

_FatJet_Run2_plots = cms.VPSet()
for plot in nanoDQM.vplots.FatJet.plots:
    if 'EF' not in plot.name.value():
        _FatJet_Run2_plots.append(plot)
_FatJet_Run2_plots.extend([
    Plot1D('btagCSVV2', 'btagCSVV2', 20, -1, 1, ' pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)'),
    Plot1D('btagDeepB', 'btagDeepB', 20, -1, 1, 'Deep B+BB btag discriminator'),
    Plot1D('btagHbb', 'btagHbb', 20, -1, 1, 'Higgs to BB tagger discriminator'),
    Plot1D('btagCMVA', 'btagCMVA', 20, -1, 1, 'CMVA V2 btag discriminator'),
    Plot1D('btagDDBvLV2', 'btagDDBvLV2', 20, 0, 1, 'DeepDoubleX V2(mass-decorrelated) discriminator for H(Z)->bb vs QCD'),
    Plot1D('btagDDCvBV2', 'btagDDCvBV2', 20, 0, 1, 'DeepDoubleX V2 (mass-decorrelated) discriminator for H(Z)->cc vs H(Z)->bb'),
    Plot1D('btagDDCvLV2', 'btagDDCvLV2', 20, 0, 1, 'DeepDoubleX V2 (mass-decorrelated) discriminator for H(Z)->cc vs QCD'),
    Plot1D('deepTagMD_H4qvsQCD', 'deepTagMD_H4qvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger H->4q vs QCD discriminator'),
    Plot1D('deepTagMD_HbbvsQCD', 'deepTagMD_HbbvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger H->bb vs QCD discriminator'),
    Plot1D('deepTagMD_TvsQCD', 'deepTagMD_TvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger top vs QCD discriminator'),
    Plot1D('deepTagMD_WvsQCD', 'deepTagMD_WvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger W vs QCD discriminator'),
    Plot1D('deepTagMD_ZHbbvsQCD', 'deepTagMD_ZHbbvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z/H->bb vs QCD discriminator'),
    Plot1D('deepTagMD_ZHccvsQCD', 'deepTagMD_ZHccvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z/H->cc vs QCD discriminator'),
    Plot1D('deepTagMD_ZbbvsQCD', 'deepTagMD_ZbbvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z->bb vs QCD discriminator'),
    Plot1D('deepTagMD_ZvsQCD', 'deepTagMD_ZvsQCD', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z vs QCD discriminator'),
    Plot1D('deepTagMD_bbvsLight', 'deepTagMD_bbvsLight', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z/H/gluon->bb vs light flavour discriminator'),
    Plot1D('deepTagMD_ccvsLight', 'deepTagMD_ccvsLight', 20, 0, 1, 'Mass-decorrelated DeepBoostedJet tagger Z/H/gluon->cc vs light flavour discriminator'),
    Plot1D('deepTag_H', 'deepTag_H', 20, 0, 1, 'DeepBoostedJet tagger H(bb,cc,4q) sum'),
    Plot1D('deepTag_QCD', 'deepTag_QCD', 20, 0, 1, 'DeepBoostedJet tagger QCD(bb,cc,b,c,others) sum'),
    Plot1D('deepTag_QCDothers', 'deepTag_QCDothers', 20, 0, 1, 'DeepBoostedJet tagger QCDothers value'),
    Plot1D('deepTag_TvsQCD', 'deepTag_TvsQCD', 20, 0, 1, 'DeepBoostedJet tagger top vs QCD discriminator'),
    Plot1D('deepTag_WvsQCD', 'deepTag_WvsQCD', 20, 0, 1, 'DeepBoostedJet tagger W vs QCD discriminator'),
    Plot1D('deepTag_ZvsQCD', 'deepTag_ZvsQCD', 20, 0, 1, 'DeepBoostedJet tagger Z vs QCD discriminator'),
    Plot1D('particleNetLegacy_mass', 'particleNetLegacy_mass', 25, 0, 250, 'ParticleNet Legacy Run-2 mass regression'),
    Plot1D('particleNetLegacy_Xbb', 'particleNetLegacy_Xbb', 20, 0, 1, 'ParticleNet Legacy Run-2 X->bb score'),
    Plot1D('particleNetLegacy_Xcc', 'particleNetLegacy_Xcc', 20, 0, 1, 'ParticleNet Legacy Run-2 X->cc score'),
    Plot1D('particleNetLegacy_Xqq', 'particleNetLegacy_Xqq', 20, 0, 1, 'ParticleNet Legacy Run-2 X->qq (uds) score'),
    Plot1D('particleNetLegacy_QCD', 'particleNetLegacy_QCD', 20, 0, 1, 'ParticleNet Legacy Run-2 QCD score'),
])

_FatJet_EarlyRun3_plots = cms.VPSet()
for plot in _FatJet_Run2_plots:
    if 'particleNet_' not in plot.name.value() and 'btagCSVV2' not in plot.name.value() \
    and 'Multiplicity' not in plot.name.value() and 'EF' not in plot.name.value():
        _FatJet_EarlyRun3_plots.append(plot)
_FatJet_EarlyRun3_plots.extend([
    Plot1D('btagDeepB', 'btagDeepB', 20, -1, 1, 'Deep B+BB btag discriminator'),
    Plot1D('btagHbb', 'btagHbb', 20, -1, 1, 'Higgs to BB tagger discriminator'),
    Plot1D('btagCMVA', 'btagCMVA', 20, -1, 1, 'CMVA V2 btag discriminator'),
    Plot1D('btagDDBvLV2', 'btagDDBvLV2', 20, 0, 1, 'DeepDoubleX V2(mass-decorrelated) discriminator for H(Z)->bb vs QCD'),
    Plot1D('btagDDCvBV2', 'btagDDCvBV2', 20, 0, 1, 'DeepDoubleX V2 (mass-decorrelated) discriminator for H(Z)->cc vs H(Z)->bb'),
    Plot1D('btagDDCvLV2', 'btagDDCvLV2', 20, 0, 1, 'DeepDoubleX V2 (mass-decorrelated) discriminator for H(Z)->cc vs QCD'),
])

_Jet_Run2_plots = cms.VPSet()
for plot in nanoDQM.vplots.Jet.plots:
    _Jet_Run2_plots.append(plot)
    if 'Multiplicity' not in plot.name.value() and 'hfHEF' not in plot.name.value() and 'hfEmEF' not in plot.name.value():
        _Jet_Run2_plots.append(plot)
_Jet_Run2_plots.extend([
    Plot1D('btagCSVV2', 'btagCSVV2', 20, -1, 1, ' pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)'),
    Plot1D('btagCMVA', 'btagCMVA', 20, -1, 1, 'CMVA V2 btag discriminator'),
    Plot1D('btagDeepB', 'btagDeepB', 20, -1, 1, 'Deep B+BB btag discriminator'),
    Plot1D('btagDeepC', 'btagDeepC', 20, 0, 1, 'DeepCSV charm btag discriminator'),
    Plot1D('btagDeepCvB', 'btagDeepCvB', 20, -1, 1, 'DeepCSV c vs b+bb discriminator'),
    Plot1D('btagDeepCvL', 'btagDeepCvL', 20, -1, 1, 'DeepCSV c vs udsg discriminator')
])

_Jet_EarlyRun3_plots = cms.VPSet()
for plot in nanoDQM.vplots.Jet.plots:
    if 'PNet' not in plot.name.value() and 'Multiplicity' not in plot.name.value() \
    and 'hfHEF' not in plot.name.value() and 'hfEmEF' not in plot.name.value():
        _Jet_EarlyRun3_plots.append(plot)


_SubJet_Run2_plots = cms.VPSet()
for plot in nanoDQM.vplots.SubJet.plots:
    _SubJet_Run2_plots.append(plot)
_SubJet_Run2_plots.extend([
    Plot1D('btagCSVV2', 'btagCSVV2', 20, -1, 1, ' pfCombinedInclusiveSecondaryVertexV2 b-tag discriminator (aka CSVV2)'),
])
_SubJet_EarlyRun3_plots = cms.VPSet()
for plot in nanoDQM.vplots.SubJet.plots:
    if 'area' not in plot.name.value():
        _SubJet_EarlyRun3_plots.append(plot)

run2_nanoAOD_ANY.toModify(
    nanoDQM.vplots.FatJet,
    plots = _FatJet_Run2_plots
).toModify(
    nanoDQM.vplots.Jet,
    plots = _Jet_Run2_plots
).toModify(
    nanoDQM.vplots.SubJet,
    plots = _SubJet_Run2_plots
)

(run3_nanoAOD_122 | run3_nanoAOD_124).toModify(
    nanoDQM.vplots.FatJet,
    plots = _FatJet_EarlyRun3_plots
).toModify(
    nanoDQM.vplots.Jet,
    plots = _Jet_EarlyRun3_plots
).toModify(
    nanoDQM.vplots.SubJet,
    plots = _SubJet_EarlyRun3_plots
)


_Pileup_pre13X_plots = cms.VPSet()
for plot in nanoDQM.vplots.Pileup.plots:
    if 'pthatmax' not in plot.name.value():
        _Pileup_pre13X_plots.append(plot)

(run2_nanoAOD_ANY | run3_nanoAOD_122 | run3_nanoAOD_124).toModify(
    nanoDQM.vplots.Pileup,
    plots = _Pileup_pre13X_plots
)


nanoDQMMC = nanoDQM.clone()
nanoDQMMC.vplots.Electron.sels.Prompt = cms.string("genPartFlav == 1")
nanoDQMMC.vplots.LowPtElectron.sels.Prompt = cms.string("genPartFlav == 1")
nanoDQMMC.vplots.Muon.sels.Prompt = cms.string("genPartFlav == 1")
nanoDQMMC.vplots.Photon.sels.Prompt = cms.string("genPartFlav == 1")
nanoDQMMC.vplots.Tau.sels.Prompt = cms.string("genPartFlav == 5")
nanoDQMMC.vplots.Jet.sels.Prompt = cms.string("genJetIdx != 1")
nanoDQMMC.vplots.Jet.sels.PromptB = cms.string("genJetIdx != 1 && hadronFlavour == 5")

from DQMServices.Core.DQMQualityTester import DQMQualityTester
nanoDQMQTester = DQMQualityTester(
    qtList = cms.untracked.FileInPath('PhysicsTools/NanoAOD/test/dqmQualityTests.xml'),
    prescaleFactor = cms.untracked.int32(1),
    testInEventloop = cms.untracked.bool(False),
    qtestOnEndLumi = cms.untracked.bool(False),
    verboseQT =  cms.untracked.bool(True)
)

nanoHarvest = cms.Sequence( nanoDQMQTester )