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cfg_VHcc_WLNu.py
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cfg_VHcc_WLNu.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.parameters.cuts import passthrough
from pocket_coffea.parameters.histograms import *
import workflow_VHcc
from workflow_VHcc import VHccBaseProcessor
import CommonSelectors
from CommonSelectors import *
import cloudpickle
cloudpickle.register_pickle_by_value(workflow_VHcc)
cloudpickle.register_pickle_by_value(CommonSelectors)
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/xgboost.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"] = "WLNu"
parameters["save_arrays"] = False
parameters["LightGBM_model"] = f"{localdir}/Models/signalCombo_WminusH_HToCC_WToLNu_2017/_WplusH_HToCC_WToLNu_2017/model_QCD.txt"
parameters["DNN_model"] = f"{localdir}/Models/signalCombo_WminusH_HToCC_WToLNu_2017/_WplusH_HToCC_WToLNu_2017/dnn_model_QCD.h5"
parameters["separate_models"] = False
cfg = Configurator(
parameters = parameters,
datasets = {
#"jsons": files_2016 + files_2017 + files_2018,
#"jsons": files_2017,
#"jsons": files_2018,
"jsons": files_Run3,
"filter" : {
"samples": [
"DATA_SingleMuon",
#"DATA_SingleElectron", # For 2017
"DATA_EGamma", # For 2018
#"WW",
#"WZ",
#"ZZ",
#"QCD",
#"WJetsToLNu_MLM",
#"WJetsToQQ_MLM",
#"DYJetsToLL_FxFx",
#"WJetsToLNu_FxFx",
#"TTToSemiLeptonic",
#"TTTo2L2Nu",
#"TTToHadrons",
#"WminusH_HToCC_WToLNu",
#"WminusH_Hto2C_WtoLNu",
#"WplusH_HToCC_WToLNu",
"WplusH_Hto2C_WtoLNu"
],
"samples_exclude" : ["DATA_EGamma_2022_preEE_EraC"],
#"year": ['2017']
#"year": ['2016_PreVFP', '2016_PostVFP', '2017', '2018']
#"year": ['2022_preEE','2022_postEE']
"year": ['2022_postEE']
},
"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],
}
},
},
workflow = VHccBaseProcessor,
skim = [get_HLTsel(primaryDatasets=["SingleMuon","SingleEle"]),
get_nObj_min(3, 20., "Jet")], # in default jet collection there are leptons. So we ask for 1lep+2jets=3Jet objects
#preselections = [onelep_plus_met],
preselections = [lep_met_2jets],
categories = {
"baseline_1L2j": [passthrough],
#"baseline_1L2J_no_ctag": [passthrough],
#"baseline_1L2J_ctag": [passthrough],
#"baseline_1L2J_ctag_calib": [passthrough],
"presel_Wlnu_2J": [wlnu_plus_2j],
"SR_Wlnu_2J_cJ": [wlnu_plus_2j, ctag_j1, dijet_mass_cut],
"SR_Wmunu_2J_cJ": [wmunu_plus_2j, ctag_j1, dijet_mass_cut],
"SR_Welnu_2J_cJ": [welnu_plus_2j, ctag_j1, dijet_mass_cut],
"CR_Wlnu_2J_LF": [wlnu_plus_2j, antictag_j1, dijet_mass_cut],
"CR_Wlnu_2J_HF": [wlnu_plus_2j, btag_j1, dijet_mass_cut],
"CR_Wlnu_2J_CC": [wlnu_plus_2j, ctag_j1, dijet_invmass_cut],
"CR_Wlnu_4J_TT": [wlnu_plus_2j, four_jets, btag_j1, dijet_mass_cut]
},
weights = {
"common": {
"inclusive": ["signOf_genWeight","lumi","XS",
"pileup",
"sf_mu_id","sf_mu_iso",
"sf_ele_reco","sf_ele_id",
#"sf_ctag", "sf_ctag_calib"
],
#"bycategory" : {
# "baseline_1L2J_ctag" : ["sf_ctag"],
# "baseline_1L2J_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",
#"sf_ctag"
],
"bycategory" : {
}
},
"bysample": {
}
},
},
variables = {
**lepton_hists(coll="LeptonGood", pos=0),
**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=600, 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=400, label=r"$p_T{jj}$ [GeV]")] ),
"dijet_csort_m" : HistConf( [Axis(coll="dijet_csort", field="mass", bins=100, start=0, stop=600, label=r"$M_{jj}$ [GeV]")] ),
"dijet_csort_dr" : HistConf( [Axis(coll="dijet_csort", field="deltaR", bins=50, start=0, stop=5, label=r"$\Delta R_{jj}$")] ),
"dijet_csort_pt" : HistConf( [Axis(coll="dijet_csort", field="pt", bins=100, start=0, stop=400, label=r"$p_T{jj}$ [GeV]")] ),
"HT": HistConf( [Axis(field="JetGood_Ht", bins=100, start=0, stop=700, label=r"Jet HT [GeV]")] ),
"met_pt": HistConf( [Axis(coll="MET", field="pt", bins=50, start=0, stop=200, 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 $phi$")] ),
"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]")] ),
"W_mt" : HistConf( [Axis(field="W_mt", bins=100, start=-10, stop=200, label=r"$Mt_{l\nu}$ [GeV]")] ),
"W_m": HistConf( [Axis(field="W_m", bins=100, start=0, stop=200, label=r"$M_{l\nu}$ [GeV]")] ),
"W_pt" : HistConf( [Axis(field="W_pt", bins=100, start=0, stop=200, label=r"$p_{T_{l\nu}}$ [GeV]")] ),
"pt_miss" : HistConf( [Axis(field="pt_miss", bins=100, start=0, stop=200, label=r"$p_T^{miss}$ [GeV]")] ),
"Wc_dijet_dphi": HistConf( [Axis(field="WH_deltaPhi", bins=50, start=0, stop=math.pi, label=r"$\frac{p_T(jj)}{p_T(l\nu)}$")] ),
"deltaPhi_l1_j1": HistConf( [Axis(field="deltaPhi_l1_j1", bins=50, start=0, stop=math.pi, label=r"$\Delta \phi_{l1,j1}$")] ),
"deltaPhi_l1_MET": HistConf( [Axis(field="deltaPhi_l1_MET", bins=50, start=0, stop=math.pi, label=r"$\Delta \phi_{l1,MET}$")] ),
"deltaPhi_l1_b": HistConf( [Axis(field="deltaPhi_l1_b", bins=50, start=0, stop=math.pi, label=r"$\Delta \phi_{l1,b}$")] ),
"deltaEta_l1_b": HistConf( [Axis(field="deltaEta_l1_b", bins=50, start=0, stop=5, label=r"$\Delta \eta_{l1,b}$")] ),
"deltaR_l1_b": HistConf( [Axis(field="deltaR_l1_b", bins=50, start=0, stop=5, label=r"$\Delta R_{l1,b}$")] ),
"b_CvsL": HistConf( [Axis(field="b_CvsL", bins=24, start=0, stop=1, label=r"$CvsL_{b}$")] ),
"b_CvsB": HistConf( [Axis(field="b_CvsB", bins=24, start=0, stop=1, label=r"$CvsB_{b}$")] ),
"b_Btag": HistConf( [Axis(field="b_Btag", bins=24, start=0, stop=1, label=r"$Btag_{b}$")] ),
"top_mass": HistConf( [Axis(field="top_mass", bins=100, start=0, stop=400, label=r"$M_{top}$ [GeV]")] ),
"BDT": HistConf( [Axis(field="BDT", bins=24, start=0, stop=1, label="BDT")],
only_categories = ['SR_Wlnu_2J_cJ','SR_Wmunu_2J_cJ','SR_Welnu_2J_cJ','baseline_1L2j']),
"DNN": HistConf( [Axis(field="DNN", bins=24, start=0, stop=1, label="DNN")],
only_categories = ['SR_Wlnu_2J_cJ','SR_Wmunu_2J_cJ','SR_Welnu_2J_cJ','baseline_1L2j']),
# 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]")]),
}
)