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Add function to refine FastSim DeepJet discriminators #40553

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Feb 1, 2023
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Add function to refine FastSim DeepJet discriminators #40553

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4ca1787
Add function to refine FastSim DeepJet discriminators
wolfmor Jan 17, 2023
2085653
add nanoAOD to run2 FS matrix workflows
kpedro88 Jan 20, 2023
565306c
add test 2016 workflow for fastsim refinement
kpedro88 Jan 21, 2023
324d88e
Merge pull request #1 from kpedro88/fastsim-refine-btagdeepflav-CHS_f…
wolfmor Jan 23, 2023
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61 changes: 31 additions & 30 deletions Configuration/PyReleaseValidation/python/relval_standard.py
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Original file line number Diff line number Diff line change
Expand Up @@ -521,32 +521,33 @@
workflows[5.7] = ['H130GGgluonfusionFS', ['H130GGgluonfusionFS','HARVESTFS']]

### fastsim_13 TeV ###
workflows[135.1] = ['TTbarFS_13', ['TTbarFS_13','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.2] = ['SingleMuPt10FS_UP15', ['SingleMuPt10FS_UP15','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.3] = ['SingleMuPt100FS_UP15', ['SingleMuPt100FS_UP15','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.4] = ['ZEEFS_13', ['ZEEFS_13','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.5] = ['ZTTFS_13',['ZTTFS_13','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.6] = ['QCD_FlatPt_15_3000FS_13', ['QCDFlatPt153000FS_13','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.7] = ['H125GGgluonfusionFS_13', ['H125GGgluonfusionFS_13','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.9] = ['ZMMFS_13',['ZMMFS_13','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.11] = ['SMS-T1tttt_mGl-1500_mLSP-100FS_13', ['SMS-T1tttt_mGl-1500_mLSP-100FS_13','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.12] = ['QCD_Pt_80_120FS_13', ['QCD_Pt_80_120FS_13','HARVESTUP15FS','MINIAODMCUP15FS']]
workflows[135.1] = ['TTbarFS_13', ['TTbarFS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.2] = ['SingleMuPt10FS_UP15', ['SingleMuPt10FS_UP15','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.3] = ['SingleMuPt100FS_UP15', ['SingleMuPt100FS_UP15','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.4] = ['ZEEFS_13', ['ZEEFS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.5] = ['ZTTFS_13',['ZTTFS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.6] = ['QCD_FlatPt_15_3000FS_13', ['QCDFlatPt153000FS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.7] = ['H125GGgluonfusionFS_13', ['H125GGgluonfusionFS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.9] = ['ZMMFS_13',['ZMMFS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.11] = ['SMS-T1tttt_mGl-1500_mLSP-100FS_13', ['SMS-T1tttt_mGl-1500_mLSP-100FS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.12] = ['QCD_Pt_80_120FS_13', ['QCD_Pt_80_120FS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FS']]
workflows[135.13] = ['TTbarFS_13', ['TTbarFS_13_trackingOnlyValidation','HARVESTUP15FS_trackingOnly']]
workflows[135.14] = ['TTbarFS_13', ['TTbarFS_13','HARVESTUP15FS','MINIAODMCUP15FS','NANOUP15FSrefine']]

### MinBias fastsim_13 TeV for mixing ###
workflows[135.8] = ['MinBiasFS_13',['MinBiasFS_13_ForMixing']]

### Phase1 FastSim 13TeV ###
workflows[2017.1] = ['TTbarFS_13_UP17', ['TTbarFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.2] = ['SingleMuPt10FS_UP17', ['SingleMuPt10FS_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.3] = ['SingleMuPt100FS_UP17', ['SingleMuPt100FS_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.4] = ['ZEEFS_13_UP17', ['ZEEFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.5] = ['ZTTFS_13_UP17',['ZTTFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.6] = ['QCD_FlatPt_15_3000FS_13_UP17', ['QCDFlatPt153000FS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.7] = ['H125GGgluonfusionFS_13_UP17', ['H125GGgluonfusionFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.9] = ['ZMMFS_13_UP17',['ZMMFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.11] = ['SMS-T1tttt_mGl-1500_mLSP-100FS_13_UP17', ['SMS-T1tttt_mGl-1500_mLSP-100FS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.12] = ['QCD_Pt_80_120FS_13_UP17', ['QCD_Pt_80_120FS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS']]
workflows[2017.1] = ['TTbarFS_13_UP17', ['TTbarFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.2] = ['SingleMuPt10FS_UP17', ['SingleMuPt10FS_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.3] = ['SingleMuPt100FS_UP17', ['SingleMuPt100FS_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.4] = ['ZEEFS_13_UP17', ['ZEEFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.5] = ['ZTTFS_13_UP17',['ZTTFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.6] = ['QCD_FlatPt_15_3000FS_13_UP17', ['QCDFlatPt153000FS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.7] = ['H125GGgluonfusionFS_13_UP17', ['H125GGgluonfusionFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.9] = ['ZMMFS_13_UP17',['ZMMFS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.11] = ['SMS-T1tttt_mGl-1500_mLSP-100FS_13_UP17', ['SMS-T1tttt_mGl-1500_mLSP-100FS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.12] = ['QCD_Pt_80_120FS_13_UP17', ['QCD_Pt_80_120FS_13_UP17','HARVESTUP17FS','MINIAODMCUP17FS','NANOUP17FS']]
workflows[2017.13] = ['TTbarFS_13_UP17', ['TTbarFS_13_trackingOnlyValidation_UP17','HARVESTUP17FS_trackingOnly']]

### MinBias fastsim_13 TeV for mixing ###
Expand All @@ -556,16 +557,16 @@
workflows[2018.8] = ['MinBiasFS_13_UP18',['MinBiasFS_13_UP18_ForMixing']]

### Phase1 FastSim 13TeV, 2018 ###
workflows[2018.1] = ['TTbarFS_13_UP18', ['TTbarFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.2] = ['SingleMuPt10FS_UP18', ['SingleMuPt10FS_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.3] = ['SingleMuPt100FS_UP18', ['SingleMuPt100FS_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.4] = ['ZEEFS_13_UP18', ['ZEEFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.5] = ['ZTTFS_13_UP18',['ZTTFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.6] = ['QCD_FlatPt_15_3000FS_13_UP18', ['QCDFlatPt153000FS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.7] = ['H125GGgluonfusionFS_13_UP18', ['H125GGgluonfusionFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.9] = ['ZMMFS_13_UP18',['ZMMFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.11] = ['SMS-T1tttt_mGl-1500_mLSP-100FS_13_UP18', ['SMS-T1tttt_mGl-1500_mLSP-100FS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.12] = ['QCD_Pt_80_120FS_13_UP18', ['QCD_Pt_80_120FS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS']]
workflows[2018.1] = ['TTbarFS_13_UP18', ['TTbarFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.2] = ['SingleMuPt10FS_UP18', ['SingleMuPt10FS_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.3] = ['SingleMuPt100FS_UP18', ['SingleMuPt100FS_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.4] = ['ZEEFS_13_UP18', ['ZEEFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.5] = ['ZTTFS_13_UP18',['ZTTFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.6] = ['QCD_FlatPt_15_3000FS_13_UP18', ['QCDFlatPt153000FS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.7] = ['H125GGgluonfusionFS_13_UP18', ['H125GGgluonfusionFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.9] = ['ZMMFS_13_UP18',['ZMMFS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.11] = ['SMS-T1tttt_mGl-1500_mLSP-100FS_13_UP18', ['SMS-T1tttt_mGl-1500_mLSP-100FS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.12] = ['QCD_Pt_80_120FS_13_UP18', ['QCD_Pt_80_120FS_13_UP18','HARVESTUP18FS','MINIAODMCUP18FS','NANOUP18FS']]
workflows[2018.13] = ['TTbarFS_13_UP18', ['TTbarFS_13_trackingOnlyValidation_UP18','HARVESTUP18FS_trackingOnly']]

### standard set ###
Expand Down
5 changes: 5 additions & 0 deletions Configuration/PyReleaseValidation/python/relval_steps.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3728,6 +3728,11 @@ def gen2021HiMix(fragment,howMuch):
steps['NANOUP18Had']=merge([{'--filein':'file:step4_inMINIAODSIM.root'},steps['NANOUP18']])
steps['NANOPRODUP18']=merge([{'--filein':'file:step4.root'},steps['NANOUP18']])

steps['NANOUP15FS'] = merge([{'--filein':'file:step3.root','--fast':''}, steps['NANOUP15']])
steps['NANOUP17FS'] = merge([{'--filein':'file:step3.root','--fast':'','--era':'Run2_2017_FastSim'}, steps['NANOUP17']])
steps['NANOUP18FS'] = merge([{'--filein':'file:step3.root','--fast':'','--era':'Run2_2018_FastSim'}, steps['NANOUP18']])

steps['NANOUP15FSrefine'] = merge([{'--customise':'PhysicsTools/NanoAOD/jetsAK4_CHS_cff.nanoAOD_refineFastSim_bTagDeepFlav'}, steps['NANOUP15FS']])

steps['HEfail'] = {'--conditions':'auto:phase1_2018_realistic_HEfail',
'-n':'10',
Expand Down
60 changes: 60 additions & 0 deletions PhysicsTools/NanoAOD/python/jetsAK4_CHS_cff.py
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Original file line number Diff line number Diff line change
Expand Up @@ -350,6 +350,66 @@ def nanoAOD_addDeepInfoAK4CHS(process,addDeepBTag,addDeepFlavour):
## DeepInfoAK4CHS:End
#################################################

#
# ML-based FastSim refinement
#
from Configuration.Eras.Modifier_fastSim_cff import fastSim
def nanoAOD_refineFastSim_bTagDeepFlav(process):

fastSim.toModify( process.jetTable.variables,
btagDeepFlavBunrefined = process.jetTable.variables.btagDeepFlavB.clone(),
btagDeepFlavCvBunrefined = process.jetTable.variables.btagDeepFlavCvB.clone(),
btagDeepFlavCvLunrefined = process.jetTable.variables.btagDeepFlavCvL.clone(),
btagDeepFlavQGunrefined = process.jetTable.variables.btagDeepFlavQG.clone(),
)

fastSim.toModify( process.jetTable.variables,
btagDeepFlavB = None,
btagDeepFlavCvB = None,
btagDeepFlavCvL = None,
btagDeepFlavQG = None,
)

fastSim.toModify( process.jetTable.externalVariables,
btagDeepFlavB = ExtVar(cms.InputTag("btagDeepFlavRefineNN:btagDeepFlavBrefined"), float, doc="DeepJet b+bb+lepb tag discriminator", precision=10),
btagDeepFlavCvB = ExtVar(cms.InputTag("btagDeepFlavRefineNN:btagDeepFlavCvBrefined"), float, doc="DeepJet c vs b+bb+lepb discriminator", precision=10),
btagDeepFlavCvL = ExtVar(cms.InputTag("btagDeepFlavRefineNN:btagDeepFlavCvLrefined"), float, doc="DeepJet c vs uds+g discriminator", precision=10),
btagDeepFlavQG = ExtVar(cms.InputTag("btagDeepFlavRefineNN:btagDeepFlavQGrefined"), float, doc="DeepJet g vs uds discriminator", precision=10),
)

process.btagDeepFlavRefineNN= cms.EDProducer("JetBaseMVAValueMapProducer",
backend = cms.string("ONNX"),
batch_eval = cms.bool(True),
disableONNXGraphOpt = cms.bool(True),

src = cms.InputTag("linkedObjects","jets"),

weightFile=cms.FileInPath("PhysicsTools/NanoAOD/data/btagDeepFlavRefineNN_CHS.onnx"),
name = cms.string("btagDeepFlavRefineNN"),

isClassifier = cms.bool(False),
variablesOrder = cms.vstring(["GenJet_pt","GenJet_eta","Jet_hadronFlavour",
"Jet_btagDeepFlavB","Jet_btagDeepFlavCvB","Jet_btagDeepFlavCvL","Jet_btagDeepFlavQG"]),
variables = cms.PSet(
GenJet_pt = cms.string("?genJetFwdRef().backRef().isNonnull()?genJetFwdRef().backRef().pt():pt"),
GenJet_eta = cms.string("?genJetFwdRef().backRef().isNonnull()?genJetFwdRef().backRef().eta():eta"),
Jet_hadronFlavour = cms.string("hadronFlavour()"),
Jet_btagDeepFlavB = cms.string("bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')"),
Jet_btagDeepFlavCvB = cms.string("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probb')+bDiscriminator('pfDeepFlavourJetTags:probbb')+bDiscriminator('pfDeepFlavourJetTags:problepb')):-1"),
Jet_btagDeepFlavCvL = cms.string("?(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg'))>0?bDiscriminator('pfDeepFlavourJetTags:probc')/(bDiscriminator('pfDeepFlavourJetTags:probc')+bDiscriminator('pfDeepFlavourJetTags:probuds')+bDiscriminator('pfDeepFlavourJetTags:probg')):-1"),
Jet_btagDeepFlavQG = cms.string("?(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds'))>0?bDiscriminator('pfDeepFlavourJetTags:probg')/(bDiscriminator('pfDeepFlavourJetTags:probg')+bDiscriminator('pfDeepFlavourJetTags:probuds')):-1"),
),
inputTensorName = cms.string("input"),
outputTensorName = cms.string("output"),
outputNames = cms.vstring(["btagDeepFlavBrefined","btagDeepFlavCvBrefined","btagDeepFlavCvLrefined","btagDeepFlavQGrefined"]),
outputFormulas = cms.vstring(["at(0)","at(1)","at(2)","at(3)"]),
)

fastSim.toModify(process.jetTablesTask, process.jetTablesTask.add(process.btagDeepFlavRefineNN))

return process


################################################################################
# JETS FOR MET type1
################################################################################
Expand Down
15 changes: 12 additions & 3 deletions PhysicsTools/PatAlgos/interface/BaseMVAValueMapProducer.h
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Original file line number Diff line number Diff line change
Expand Up @@ -55,12 +55,19 @@

class BaseMVACache {
public:
BaseMVACache(const std::string& model_path, const std::string& backend) {
BaseMVACache(const std::string& model_path, const std::string& backend, const bool disableONNXGraphOpt) {
if (backend == "TF") {
graph_.reset(tensorflow::loadGraphDef(model_path));
tf_session_ = tensorflow::createSession(graph_.get());
} else if (backend == "ONNX") {
ort_ = std::make_unique<cms::Ort::ONNXRuntime>(model_path);
if (disableONNXGraphOpt) {
Ort::SessionOptions sess_opts;
sess_opts = cms::Ort::ONNXRuntime::defaultSessionOptions();
sess_opts.SetGraphOptimizationLevel(GraphOptimizationLevel::ORT_DISABLE_ALL);
ort_ = std::make_unique<cms::Ort::ONNXRuntime>(model_path, &sess_opts);
} else {
ort_ = std::make_unique<cms::Ort::ONNXRuntime>(model_path);
}
}
}
~BaseMVACache() { tensorflow::closeSession(tf_session_); }
Expand Down Expand Up @@ -270,7 +277,8 @@ void BaseMVAValueMapProducer<T>::produce(edm::Event& iEvent, const edm::EventSet
template <typename T>
std::unique_ptr<BaseMVACache> BaseMVAValueMapProducer<T>::initializeGlobalCache(const edm::ParameterSet& cfg) {
return std::make_unique<BaseMVACache>(cfg.getParameter<edm::FileInPath>("weightFile").fullPath(),
cfg.getParameter<std::string>("backend"));
cfg.getParameter<std::string>("backend"),
cfg.getParameter<bool>("disableONNXGraphOpt"));
}

template <typename T>
Expand All @@ -295,6 +303,7 @@ edm::ParameterSetDescription BaseMVAValueMapProducer<T>::getDescription() {
desc.add<std::vector<std::string>>("outputFormulas", std::vector<std::string>())
->setComment("Formulas to be used to post process the output");
desc.add<bool>("batch_eval", false)->setComment("Run inference in batch instead of per-object");
desc.add<bool>("disableONNXGraphOpt", false)->setComment("Disable ONNX runtime graph optimization");

return desc;
}
Expand Down