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cfg_VHcc_ZNuNu.py
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cfg_VHcc_ZNuNu.py
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from pocket_coffea.utils.configurator import Configurator
from pocket_coffea.lib.cut_definition import Cut
from pocket_coffea.lib.cut_functions import get_nObj_min, get_HLTsel
from pocket_coffea.lib.cut_functions import get_nPVgood, goldenJson, eventFlags
from pocket_coffea.parameters.cuts import passthrough
from pocket_coffea.parameters.histograms import *
from pocket_coffea.lib.columns_manager import ColOut
import click
import workflow_VHcc
from workflow_VHcc import VHccBaseProcessor
import MVA
from MVA.gnnmodels import GraphAttentionClassifier
import CommonSelectors
from CommonSelectors import *
import cloudpickle
cloudpickle.register_pickle_by_value(workflow_VHcc)
cloudpickle.register_pickle_by_value(CommonSelectors)
cloudpickle.register_pickle_by_value(MVA)
import os
localdir = os.path.dirname(os.path.abspath(__file__))
# Loading default parameters
from pocket_coffea.parameters import defaults
default_parameters = defaults.get_default_parameters()
defaults.register_configuration_dir("config_dir", localdir+"/params")
parameters = defaults.merge_parameters_from_files(default_parameters,
f"{localdir}/params/object_preselection.yaml",
f"{localdir}/params/triggers.yaml",
f"{localdir}/params/ctagging.yaml",
f"{localdir}/params/trainings.yaml",
update=True)
files_2016 = [
f"{localdir}/datasets/Run2UL2016_MC_VJets.json",
f"{localdir}/datasets/Run2UL2016_MC_OtherBkg.json",
f"{localdir}/datasets/Run2UL2016_DATA.json",
]
files_2017 = [
f"{localdir}/datasets/Run2UL2017_MC_VJets.json",
f"{localdir}/datasets/Run2UL2017_MC_OtherBkg.json",
f"{localdir}/datasets/Run2UL2017_DATA.json",
f"{localdir}/datasets/Run2UL2017_Signal.json"
]
files_2018 = [
f"{localdir}/datasets/Run2UL2018_MC_VJets.json",
f"{localdir}/datasets/Run2UL2018_MC_OtherBkg.json",
f"{localdir}/datasets/Run2UL2018_DATA.json",
]
files_Run3 = [
f"{localdir}/datasets/Run3_MC_VJets.json",
f"{localdir}/datasets/Run3_MC_OtherBkg.json",
f"{localdir}/datasets/Run3_DATA.json",
f"{localdir}/datasets/Run3_MC_Sig.json",
]
parameters["proc_type"] = "ZNuNu"
parameters["save_arrays"] = True
parameters["separate_models"] = False
parameters['run_dnn'] = False
parameters['run_gnn'] = True
ctx = click.get_current_context()
outputdir = ctx.params.get('outputdir')
cfg = Configurator(
parameters = parameters,
datasets = {
#"jsons": files_2016 + files_2017 + files_2018,
"jsons": files_Run3,
"filter" : {
"samples": [
"DATA_MET",
"WW",
"WZ",
"ZZ",
#"QCD",
#"ZJetsToNuNu_HT_MLM",
"ZJetsToNuNu_NJPT_FxFx",
#"WJetsToLNu_MLM",
"WJetsToLNu_FxFx",
#"WJetsToQQ_MLM",
"TTToSemiLeptonic",
#"TTTo2L2Nu",
"TTToHadrons",
"SingleTop",
"ZH_Hto2C_Zto2Nu",
"ggZH_Hto2C_Zto2Nu",
"ZH_Hto2B_Zto2Nu",
"ggZH_Hto2B_Zto2Nu"
],
"samples_exclude" : [],
#"year": ['2017'],
#"year": ['2016_PreVFP', '2016_PostVFP', '2017', '2018']
"year": ['2022_preEE']
},
"subsamples": {
'DYJetsToLL_MLM': {
'DiJet_incl': [passthrough],
'DiJet_bx': [DiJet_bx],
'DiJet_cx': [DiJet_cx],
'DiJet_ll': [DiJet_ll],
},
'DYJetsToLL_FxFx': {
'DiJet_incl': [passthrough],
'DiJet_bx': [DiJet_bx],
'DiJet_cx': [DiJet_cx],
'DiJet_ll': [DiJet_ll],
},
'WJetsToLNu_FxFx': {
'DiJet_incl': [passthrough],
'DiJet_bx': [DiJet_bx],
'DiJet_cx': [DiJet_cx],
'DiJet_ll': [DiJet_ll],
},
'ZJetsToNuNu_NJPT_FxFx': {
'DiJet_incl': [passthrough],
'DiJet_bx': [DiJet_bx],
'DiJet_cx': [DiJet_cx],
'DiJet_ll': [DiJet_ll],
}
}
},
workflow = VHccBaseProcessor,
workflow_options = {"dump_columns_as_arrays_per_chunk": f"{outputdir}/Saved_columnar_arrays_ZNuNu"} if parameters["save_arrays"] else {},
skim = [get_HLTsel(primaryDatasets=["MET"]),
get_nObj_min(2, 32., "Jet"),
get_nPVgood(1), eventFlags, goldenJson],
preselections = [met_2jets_0lep],
categories = {
"presel_Met_2J_no_ctag": [passthrough],
#"presel_Met_2J_ctag": [passthrough],
#"presel_Met_2J_ctag_calib": [passthrough],
"baseline_Met_2J_ptcut": [dijet_pt_cut, jet_met_dphi_cut],
"SR_Znn_2J_cJ": [dijet_pt_cut, jet_met_dphi_cut, ctag_j1, dijet_mass_cut],
"CR_Znn_2J_LF": [dijet_pt_cut, jet_met_dphi_cut, antictag_j1, dijet_mass_cut],
"CR_Znn_2J_HF": [dijet_pt_cut, jet_met_dphi_cut, btag_j1, dijet_mass_cut],
"CR_Znn_2J_CC": [dijet_pt_cut, jet_met_dphi_cut, ctag_j1, dijet_invmass_cut],
"CR_Znn_4J_TT": [dijet_pt_cut, jet_met_dphi_cut, btag_j1, dijet_mass_cut]
},
columns = {
"common": {
"bycategory": {
"SR_Znn_2J_cJ": [
ColOut("events", [ "EventNr", "dijet_m", "dijet_pt", "dijet_dr", "dijet_deltaPhi", "dijet_deltaEta",
"dijet_CvsL_max", "dijet_CvsL_min", "dijet_CvsB_max", "dijet_CvsB_min",
"dijet_pt_max", "dijet_pt_min", "ZH_pt_ratio", "ZH_deltaPhi", "Z_pt",
"JetGood_btagCvL","JetGood_btagCvB",
"JetGood_pt","JetGood_eta","JetGood_phi","JetGood_mass",
"Z_pt","Z_eta","Z_phi","Z_m",
"MET_pt","MET_phi","nPV"], flatten=False),
],
"presel_Met_2J_no_ctag": [
ColOut("events", [ "EventNr", "dijet_m", "dijet_pt", "dijet_dr", "dijet_deltaPhi", "dijet_deltaEta",
"dijet_CvsL_max", "dijet_CvsL_min", "dijet_CvsB_max", "dijet_CvsB_min",
"dijet_pt_max", "dijet_pt_min", "ZH_pt_ratio", "ZH_deltaPhi", "Z_pt",
"JetGood_btagCvL","JetGood_btagCvB",
"JetGood_pt","JetGood_eta","JetGood_phi","JetGood_mass",
"Z_pt","Z_eta","Z_phi","Z_m",
"MET_pt","MET_phi","nPV"], flatten=False),
]
}
},
},
weights = {
"common": {
"inclusive": ["signOf_genWeight","lumi","XS",
"pileup",
"sf_mu_id","sf_mu_iso",
"sf_ele_reco","sf_ele_id",
],
#"bycategory" : {
# "presel_Met_2J_ctag" : ["sf_ctag"],
# "presel_Met_2J_ctag_calib" : ["sf_ctag", "sf_ctag_calib"],
#}
},
"bysample": {
}
},
variations = {
"weights": {
"common": {
"inclusive": [
"pileup",
"sf_mu_id", "sf_mu_iso",
"sf_ele_reco", "sf_ele_id",
],
"bycategory" : {
}
},
"bysample": {
}
},
},
variables = {
**count_hist(name="nElectronGood", coll="ElectronGood",bins=5, start=0, stop=5),
**count_hist(name="nMuonGood", coll="MuonGood",bins=5, start=0, stop=5),
**count_hist(name="nJets", coll="JetGood",bins=8, start=0, stop=8),
**count_hist(name="nBJets", coll="BJetGood",bins=8, start=0, stop=8),
**jet_hists(coll="JetGood", pos=0),
**jet_hists(coll="JetGood", pos=1),
**jet_hists(coll="JetsCvsL", pos=0),
**jet_hists(coll="JetsCvsL", pos=1),
"nJet": HistConf( [Axis(field="nJet", bins=15, start=0, stop=15, label=r"nJet direct from NanoAOD")] ),
"dijet_nom_m" : HistConf( [Axis(coll="dijet", field="mass", bins=100, start=0, stop=700, label=r"$M_{jj}$ [GeV]")] ),
"dijet_nom_dr" : HistConf( [Axis(coll="dijet", field="deltaR", bins=50, start=0, stop=5, label=r"$\Delta R_{jj}$")] ),
"dijet_nom_pt" : HistConf( [Axis(coll="dijet", field="pt", bins=100, start=0, stop=500, label=r"$p_T{jj}$ [GeV]")] ),
"dijet_m" : HistConf( [Axis(field="dijet_m", bins=100, start=0, stop=600, label=r"$M_{jj}$ [GeV]")] ),
"dijet_pt" : HistConf( [Axis(field="dijet_pt", bins=100, start=0, stop=400, label=r"$p_T{jj}$ [GeV]")] ),
"dijet_dr" : HistConf( [Axis(field="dijet_dr", bins=50, start=0, stop=5, label=r"$\Delta R_{jj}$")] ),
"dijet_deltaPhi": HistConf( [Axis(field="dijet_deltaPhi", bins=50, start=0, stop=math.pi, label=r"$\Delta \phi_{jj}$")] ),
"dijet_deltaEta": HistConf( [Axis(field="dijet_deltaEta", bins=50, start=0, stop=4, label=r"$\Delta \eta_{jj}$")] ),
"dijet_pt_j1" : HistConf( [Axis(field="dijet_pt_max", bins=100, start=0, stop=400, label=r"$p_T{j1}$ [GeV]")] ),
"dijet_pt_j2" : HistConf( [Axis(field="dijet_pt_min", bins=100, start=0, stop=400, label=r"$p_T{j2}$ [GeV]")] ),
"dijet_CvsL_j1" : HistConf( [Axis(field="dijet_CvsL_max", bins=24, start=0, stop=1, label=r"$CvsL_{j1}$ [GeV]")] ),
"dijet_CvsL_j2" : HistConf( [Axis(field="dijet_CvsL_min", bins=24, start=0, stop=1, label=r"$CvsL_{j2}$ [GeV]")] ),
"dijet_CvsB_j1" : HistConf( [Axis(field="dijet_CvsB_max", bins=24, start=0, stop=1, label=r"$CvsB_{j1}$ [GeV]")] ),
"dijet_CvsB_j2" : HistConf( [Axis(field="dijet_CvsB_min", bins=24, start=0, stop=1, label=r"$CvsB_{j2}$ [GeV]")] ),
"Z_pt": HistConf( [Axis(field="Z_pt", bins=100, start=0, stop=400, label=r"$p_T{Z}$ [GeV]")] ),
"dilep_dijet_ratio": HistConf( [Axis(field="ZH_pt_ratio", bins=100, start=0, stop=2, label=r"$\frac{p_T(jj)}{p_T(\ell\ell)}$")] ),
"dilep_dijet_dphi": HistConf( [Axis(field="ZH_deltaPhi", bins=50, start=0, stop=math.pi, label=r"$\Delta \phi (\ell\ell, jj)$")] ),
"HT": HistConf( [Axis(field="JetGood_Ht", bins=100, start=0, stop=900, label=r"Jet HT [GeV]")] ),
"met_pt": HistConf( [Axis(coll="MET", field="pt", bins=50, start=100, stop=600, label=r"MET $p_T$ [GeV]")] ),
"met_phi": HistConf( [Axis(coll="MET", field="phi", bins=64, start=-math.pi, stop=math.pi, label=r"MET $phi$")] ),
"met_deltaPhi_j1": HistConf( [Axis(field="deltaPhi_jet1_MET", bins=64, start=0, stop=math.pi, label=r"$\Delta\phi$(MET, jet 1)")] ),
"met_deltaPhi_j2": HistConf( [Axis(field="deltaPhi_jet2_MET", bins=64, start=0, stop=math.pi, label=r"$\Delta\phi$(MET, jet 2)")] ),
"BDT": HistConf( [Axis(field="BDT", bins=1000, start=0, stop=1, label="BDT")],
only_categories = ['SR_Znn_2J_cJ']),
"DNN": HistConf( [Axis(field="DNN", bins=1000, start=0, stop=1, label="DNN")],
only_categories = ['SR_Znn_2J_cJ']),
"GNN": HistConf( [Axis(field="GNN", bins=1000, start=0, stop=1, label="GNN")],
only_categories = ['SR_Znn_2J_cJ']),
"BDT_coarse": HistConf( [Axis(field="BDT", bins=24, start=0, stop=1, label="BDT")],
only_categories = ['SR_Znn_2J_cJ','baseline_Met_2J_ptcut']),
"DNN_coarse": HistConf( [Axis(field="DNN", bins=24, start=0, stop=1, label="DNN")],
only_categories = ['SR_Znn_2J_cJ','baseline_Met_2J_ptcut']),
"GNN_coarse": HistConf( [Axis(field="GNN", bins=24, start=0, stop=1, label="GNN")],
only_categories = ['SR_Znn_2J_cJ','baseline_Met_2J_ptcut']),
# 2D plots
"Njet_Ht": HistConf([ Axis(coll="events", field="nJetGood",bins=[0,2,3,4,8],
type="variable", label="N. Jets (good)"),
Axis(coll="events", field="JetGood_Ht",
bins=[0,80,150,200,300,450,700],
type="variable", label="Jets $H_T$ [GeV]")]),
}
)