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GEN-only NanoAOD configs (NanoGEN) and cmsDriver support #30306
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e9986e9
Add NanoGen configs
kdlong ff33c67
Fix NanoGEN weights tables, work from MinAOD
kdlong 8192918
No cuts on dressed leptons for nanogen
kdlong 5e21a7c
Add customize functions
kdlong d5ef610
Simplify NanoGEN from Mini workflow
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import FWCore.ParameterSet.Config as cms | ||
|
||
genWeightsTable = cms.EDProducer("GenWeightsTableProducer", | ||
genEvent = cms.InputTag("generator"), | ||
genLumiInfoHeader = cms.InputTag("generator"), | ||
lheInfo = cms.VInputTag(cms.InputTag("externalLHEProducer"), cms.InputTag("source")), | ||
preferredPDFs = cms.VPSet( # see https://lhapdf.hepforge.org/pdfsets.html | ||
cms.PSet( name = cms.string("PDF4LHC15_nnlo_30_pdfas"), lhaid = cms.uint32(91400) ), | ||
cms.PSet( name = cms.string("NNPDF31_nnlo_hessian_pdfas"), lhaid = cms.uint32(306000) ), | ||
cms.PSet( name = cms.string("NNPDF30_nlo_as_0118"), lhaid = cms.uint32(260000) ), # for some 92X samples. Note that the nominal weight, 260000, is not included in the LHE ... | ||
cms.PSet( name = cms.string("NNPDF30_lo_as_0130"), lhaid = cms.uint32(262000) ), # some MLM 80X samples have only this (e.g. /store/mc/RunIISummer16MiniAODv2/DYJetsToLL_M-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/MINIAODSIM/PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v2/120000/02A210D6-F5C3-E611-B570-008CFA197BD4.root ) | ||
cms.PSet( name = cms.string("NNPDF30_nlo_nf_4_pdfas"), lhaid = cms.uint32(292000) ), # some FXFX 80X samples have only this (e.g. WWTo1L1Nu2Q, WWTo4Q) | ||
cms.PSet( name = cms.string("NNPDF30_nlo_nf_5_pdfas"), lhaid = cms.uint32(292200) ), # some FXFX 80X samples have only this (e.g. DYJetsToLL_Pt, WJetsToLNu_Pt, DYJetsToNuNu_Pt) | ||
), | ||
namedWeightIDs = cms.vstring(), | ||
namedWeightLabels = cms.vstring(), | ||
lheWeightPrecision = cms.int32(14), | ||
maxPdfWeights = cms.uint32(150), | ||
debug = cms.untracked.bool(False), | ||
) |
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Original file line number | Diff line number | Diff line change |
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from PhysicsTools.NanoAOD.taus_cff import * | ||
from PhysicsTools.NanoAOD.jets_cff import * | ||
from PhysicsTools.NanoAOD.globals_cff import * | ||
from PhysicsTools.NanoAOD.genparticles_cff import * | ||
from PhysicsTools.NanoAOD.particlelevel_cff import * | ||
from PhysicsTools.NanoAOD.lheInfoTable_cfi import * | ||
from PhysicsTools.NanoAOD.genWeightsTable_cfi import * | ||
|
||
nanoMetadata = cms.EDProducer("UniqueStringProducer", | ||
strings = cms.PSet( | ||
tag = cms.string("untagged"), | ||
) | ||
) | ||
|
||
metGenTable = cms.EDProducer("SimpleCandidateFlatTableProducer", | ||
src = cms.InputTag("genMetTrue"), | ||
name = cms.string("GenMET"), | ||
doc = cms.string("Gen MET"), | ||
singleton = cms.bool(True), | ||
extension = cms.bool(False), | ||
variables = cms.PSet( | ||
pt = Var("pt", float, doc="pt", precision=10), | ||
phi = Var("phi", float, doc="phi", precision=10), | ||
), | ||
) | ||
|
||
nanogenSequence = cms.Sequence( | ||
nanoMetadata+ | ||
particleLevel+ | ||
genJetTable+ | ||
patJetPartons+ | ||
genJetFlavourAssociation+ | ||
genJetFlavourTable+ | ||
genJetAK8Table+ | ||
genJetAK8FlavourAssociation+ | ||
genJetAK8FlavourTable+ | ||
tauGenJets+ | ||
tauGenJetsSelectorAllHadrons+ | ||
genVisTaus+ | ||
genVisTauTable+ | ||
genTable+ | ||
genParticleTables+ | ||
tautagger+ | ||
rivetProducerHTXS+ | ||
particleLevelTables+ | ||
metGenTable+ | ||
genWeightsTable+ | ||
lheInfoTable | ||
) | ||
|
||
NANOAODGENoutput = cms.OutputModule("NanoAODOutputModule", | ||
compressionAlgorithm = cms.untracked.string('LZMA'), | ||
compressionLevel = cms.untracked.int32(9), | ||
dataset = cms.untracked.PSet( | ||
dataTier = cms.untracked.string('NANOAODSIM'), | ||
filterName = cms.untracked.string('') | ||
), | ||
fileName = cms.untracked.string('nanogen.root'), | ||
outputCommands = cms.untracked.vstring( | ||
'drop *', | ||
"keep nanoaodFlatTable_*Table_*_*", # event data | ||
"keep String_*_genModel_*", # generator model data | ||
"keep nanoaodMergeableCounterTable_*Table_*_*", # accumulated per/run or per/lumi data | ||
"keep nanoaodUniqueString_nanoMetadata_*_*", # basic metadata | ||
) | ||
) | ||
|
||
def nanoGenCommonCustomize(process): | ||
process.lheInfoTable.storeLHEParticles = True | ||
process.lheInfoTable.precision = 14 | ||
process.genJetFlavourAssociation.jets = process.genJetTable.src | ||
process.genJetFlavourTable.src = process.genJetTable.src | ||
process.genJetAK8FlavourAssociation.jets = process.genJetAK8Table.src | ||
process.genJetAK8FlavourTable.src = process.genJetAK8Table.src | ||
process.particleLevel.particleMaxEta = 999. | ||
process.particleLevel.lepMinPt = 0. | ||
process.particleLevel.lepMaxEta = 999. | ||
process.genJetFlavourTable.jetFlavourInfos = "genJetFlavourAssociation" | ||
|
||
def customizeNanoGENFromMini(process): | ||
process.nanoAOD_step.insert(0, process.genParticles2HepMCHiggsVtx) | ||
process.nanoAOD_step.insert(0, process.genParticles2HepMC) | ||
process.nanoAOD_step.insert(0, process.mergedGenParticles) | ||
|
||
process.rivetProducerHTXS.HepMCCollection = "genParticles2HepMCHiggsVtx:unsmeared" | ||
process.genParticleTable.src = "prunedGenParticles" | ||
process.patJetPartons.particles = "prunedGenParticles" | ||
process.particleLevel.src = "genParticles2HepMC:unsmeared" | ||
|
||
process.genJetTable.src = "slimmedGenJets" | ||
process.genJetAK8Table.src = "slimmedGenJetsAK8" | ||
process.tauGenJets.GenParticles = "prunedGenParticles" | ||
process.genVisTaus.srcGenParticles = "prunedGenParticles" | ||
nanoGenCommonCustomize(process) | ||
|
||
return process | ||
|
||
def customizeNanoGEN(process): | ||
process.rivetProducerHTXS.HepMCCollection = "generatorSmeared" | ||
process.genParticleTable.src = "genParticles" | ||
process.patJetPartons.particles = "genParticles" | ||
process.particleLevel.src = "generatorSmeared" | ||
|
||
process.genJetTable.src = "ak4GenJets" | ||
process.genJetAK8Table.src = "ak8GenJets" | ||
process.tauGenJets.GenParticles = "genParticles" | ||
process.genVisTaus.srcGenParticles = "genParticles" | ||
nanoGenCommonCustomize(process) | ||
return process | ||
|
||
# Prune gen particles with tight conditions applied in usual NanoAOD | ||
def pruneGenParticlesNano(process): | ||
process.finalGenParticles = finalGenParticles.clone() | ||
process.genParticleTable.src = "prunedGenParticles" | ||
process.patJetPartons.particles = "prunedGenParticles" | ||
process.nanoAOD_step.insert(0, process.finalGenParticles) | ||
return process | ||
|
||
# Prune gen particles with conditions applied in usual MiniAOD | ||
def pruneGenParticlesMini(process): | ||
from PhysicsTools.PatAlgos.slimming.prunedGenParticles_cfi import prunedGenParticles | ||
process.prunedGenParticles = prunedGenParticles.clone() | ||
if process.nanoAOD_step.contains(process.nanogenMiniSequence): | ||
raise ValueError("Applying the MiniAOD genParticle pruner to MiniAOD is redunant. " \ | ||
"Use a different customization.") | ||
process.genParticleTable.src = "prunedGenParticles" | ||
process.patJetPartons.particles = "prunedGenParticles" | ||
process.nanoAOD_step.insert(0, process.prunedGenParticles) | ||
return process | ||
|
||
def setGenFullPrecision(process): | ||
process.genParticleTable.variables.pt.precision = 23 | ||
process.genParticleTable.variables.eta.precision = 23 | ||
process.genParticleTable.variables.phi.precision = 23 | ||
process.genJetTable.variables.pt.precision = 23 | ||
process.genJetTable.variables.eta.precision = 23 | ||
process.genJetTable.variables.phi.precision = 23 | ||
process.metGenTable.variables.pt.precision = 23 | ||
process.metGenTable.variables.phi.precision = 23 | ||
return process | ||
|
||
def setLHEFullPrecision(process): | ||
process.lheInfoTable.precision = 23 | ||
return process | ||
|
||
def setGenWeightsFullPrecision(process): | ||
process.genWeightsTable.lheWeightPrecision = 23 | ||
return process |
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Is there a way I can detect the input data tier? I think this would fail if someone wanted to run only the NanoGen sequence from an input GEN file, for example