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analyzer.py
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analyzer.py
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from coffea import processor
import warnings
from coffea.analysis_tools import Weights
warnings.filterwarnings("ignore",module="coffea.*")
import numpy as np
import awkward as ak
import hist.dask as dah
import hist
import dask.array as da
import dask_awkward as dak
from coffea.analysis_tools import PackedSelection
import time
import re
class WrAnalysis(processor.ProcessorABC):
def __init__(self, year='2018', mass_point=None):
self._year = year
self._signal_sample = mass_point
self._triggers = {
'2018': [
'HLT_Mu50',
'HLT_OldMu100',
'HLT_TkMu100',
'HLT_Ele32_WPTight_Gsf',
'HLT_Photon200',
],
}
self.make_output = lambda: {
'pt_leadlep': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(200, 0, 2000, name='pt_leadlep', label=r'p_{T} of the leading lepton [GeV]'),
hist.storage.Weight(),
),
'pt_subleadlep': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(200, 0, 2000, name='pt_subleadlep', label=r'p_{T} of the subleading lepton [GeV]'),
hist.storage.Weight(),
),
'pt_leadjet': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(200, 0, 2000, name='pt_leadjet', label=r'p_{T} of the leading jet [GeV]'),
hist.storage.Weight(),
),
'pt_subleadjet': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(200, 0, 2000, name='pt_subleadjet', label=r'p_{T} of the subleading jet [GeV]'),
hist.storage.Weight(),
),
'pt_dileptons': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(100, 0, 1000, name='pt_dileptons', label=r'p^{T}_{ll} [GeV]'),
hist.storage.Weight(),
),
'pt_dijets': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(100, 0, 1000, name='pt_dijets', label=r'p^{T}_{jj} [GeV]'),
hist.storage.Weight(),
),
'eta_leadlep': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(60, -3, 3, name='eta_leadlep', label=r'#eta of the leading lepton [GeV]'),
hist.storage.Weight(),
),
'eta_subleadlep': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(60, -3, 3, name='eta_subleadlep', label=r'#eta of the subleading lepton [GeV]'),
hist.storage.Weight(),
),
'eta_leadjet': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(60, -3, 3, name='eta_leadjet', label=r'#eta of the leading jet [GeV]'),
hist.storage.Weight(),
),
'eta_subleadjet': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(60, -3, 3, name='eta_subleadjet', label=r'#eta of the subleading jet [GeV]'),
hist.storage.Weight(),
),
'phi_leadlep': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(80, -4, 4, name='phi_leadlep', label=r'#phi of the leading lepton [GeV]'),
hist.storage.Weight(),
),
'phi_subleadlep': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(80, -4, 4, name='phi_subleadlep', label=r'#phi of the subleading lepton [GeV]'),
hist.storage.Weight(),
),
'phi_leadjet': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(80, -4, 4, name='phi_leadjet', label=r'#phi of the leading jet [GeV]'),
hist.storage.Weight(),
),
'phi_subleadjet': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(80, -4, 4, name='phi_subleadjet', label=r'#phi of the subleading jet [GeV]'),
hist.storage.Weight(),
),
'mass_dileptons': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(1000, 0, 5000, name='mass_dileptons', label=r'm_{ll} [GeV]'),
hist.storage.Weight(),
),
'mass_dijets': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(500, 0, 5000, name='mass_dijets', label=r'm_{jj} [GeV]'),
hist.storage.Weight(),
),
'mass_threeobject_leadlep': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(800, 0, 8000, name='mass_threeobject_leadlep', label=r'm_{ljj} [GeV]'),
hist.storage.Weight(),
),
'mass_threeobject_subleadlep': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(800, 0, 8000, name='mass_threeobject_subleadlep', label=r'm_{ljj} [GeV]'),
hist.storage.Weight(),
),
'mass_fourobject': dah.hist.Hist(
hist.axis.StrCategory([], name="process", label="Process", growth=True),
hist.axis.StrCategory([], name="region", label="Analysis Region", growth=True),
hist.axis.Regular(800, 0, 8000, name='mass_fourobject', label=r'm_{lljj} [GeV]'),
hist.storage.Weight(),
),
}
def process(self, events):
output = self.make_output()
isRealData = not hasattr(events, "genWeight")
output['mc_campaign'] = events.metadata["mc_campaign"]
if not isRealData:
output['x_sec'] = events.metadata["xsec"]
process = events.metadata["process"]
output['process'] = process
dataset = events.metadata["dataset"]
output['dataset'] = dataset
isMC = hasattr(events, "genWeight")
isRealData = not hasattr(events, "genWeight")
if process == "Signal":
print(f"Analyzing {dataset} events.")
elif process in {"SingleMuon", "EGamma"}:
print(f"Analyzing {len(events)} {process} {dataset} events.")
else:
print(f"Analyzing {len(events)} {dataset} events.")
####################
# OBJECT SELECTION #
####################
# muon and electron selections are broken out into standalone functions
tightElectrons, looseElectrons = selectElectrons(events)
nTightElectrons = ak.num(tightElectrons)
tightMuons, looseMuons = selectMuons(events)
nTightMuons = ak.num(tightMuons)
AK4Jets, AK8Jets = selectJets(events)
nAK4Jets = ak.num(AK4Jets)
###########
# WEIGHTS #
###########
weights = Weights(size=None, storeIndividual=True)
if not isRealData:
eventWeight = np.sign(events.genWeight)
else:
eventWeight = abs(np.sign(events.event))
#Only fill histogram with event specific weights
weights.add("event_weight", weight=eventWeight)
if not isRealData:
output['sumw'] = ak.sum(eventWeight)
###################
# EVENT VARIABLES #
###################
tightLeptons = ak.with_name(ak.concatenate((tightElectrons, tightMuons), axis=1), 'PtEtaPhiMCandidate')
tightLeptons = ak.pad_none(tightLeptons[ak.argsort(tightLeptons.pt, axis=1, ascending=False)], 2, axis=1)
AK4Jets = ak.pad_none(AK4Jets, 2, axis=1)
mll = ak.fill_none((tightLeptons[:, 0] + tightLeptons[:, 1]).mass, False)
mlljj = ak.fill_none((tightLeptons[:, 0] + tightLeptons[:, 1] + AK4Jets[:, 0] + AK4Jets[:, 1]).mass, False)
dr_jl_min = ak.fill_none(ak.min(AK4Jets[:,:2].nearest(tightLeptons).delta_r(AK4Jets[:,:2]), axis=1), False)
dr_j1j2 = ak.fill_none(AK4Jets[:,0].delta_r(AK4Jets[:,1]), False)
dr_l1l2 = ak.fill_none(tightLeptons[:,0].delta_r(tightLeptons[:,1]), False)
###################
# EVENT SELECTION #
###################
selections = PackedSelection()
# Resolved Selections
selections.add("twoTightLeptons", (nTightElectrons + nTightMuons) == 2)
selections.add("minTwoAK4Jets", (nAK4Jets >= 2))
selections.add("leadTightLeptonPt60", ((ak.any(tightElectrons.pt > 60, axis=1)) | (ak.any(tightMuons.pt > 60, axis=1))))
selections.add("mlljj>800", (mlljj > 800))
selections.add("dr>0.4", (dr_jl_min > 0.4) & (dr_j1j2 > 0.4) & (dr_l1l2 > 0.4))
# Trigger Selections
eTrig = events.HLT.Ele32_WPTight_Gsf | events.HLT.Photon200 | events.HLT.Ele115_CaloIdVT_GsfTrkIdT
muTrig = events.HLT.Mu50 | events.HLT.OldMu100 | events.HLT.TkMu100
selections.add("eeTrigger", (eTrig & (nTightElectrons == 2) & (nTightMuons == 0)))
selections.add("mumuTrigger", (muTrig & (nTightElectrons == 0) & (nTightMuons == 2)))
selections.add("emuTrigger", (eTrig & muTrig & (nTightElectrons == 1) & (nTightMuons == 1)))
# Flavor Selections
selections.add("eejj", ((nTightElectrons == 2) & (nTightMuons == 0)))
selections.add("mumujj", ((nTightElectrons == 0) & (nTightMuons == 2)))
selections.add("emujj", ((nTightElectrons == 1) & (nTightMuons == 1)))
# mll Selections
selections.add("60mll150", ((mll > 60) & (mll < 150)))
selections.add("150mll400", ((mll > 150) & (mll < 400)))
selections.add("400mll", (mll > 400))
regions = {
'eejj_60mll150': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'eeTrigger', 'mlljj>800', 'dr>0.4', '60mll150', 'eejj'],
'mumujj_60mll150': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'mumuTrigger', 'mlljj>800', 'dr>0.4', '60mll150', 'mumujj'],
'emujj_60mll150': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'emuTrigger', 'mlljj>800', 'dr>0.4', '60mll150', 'emujj'],
'eejj_150mll400': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'eeTrigger', 'mlljj>800', 'dr>0.4', '150mll400', 'eejj'],
'mumujj_150mll400': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'mumuTrigger', 'mlljj>800', 'dr>0.4', '150mll400', 'mumujj'],
'emujj_150mll400': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'emuTrigger', 'mlljj>800', 'dr>0.4', '150mll400', 'emujj'],
'eejj_400mll': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'eeTrigger', 'mlljj>800', 'dr>0.4', '400mll', 'eejj'],
'mumujj_400mll': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'mumuTrigger', 'mlljj>800', 'dr>0.4', '400mll', 'mumujj'],
'emujj_400mll': ['twoTightLeptons', 'minTwoAK4Jets', 'leadTightLeptonPt60', 'emuTrigger', 'mlljj>800', 'dr>0.4', '400mll', 'emujj'],
}
#######################
# BLIND SIGNAL REGION #
#######################
if isRealData:
for region in ['eejj_400mll', 'mumujj_400mll']:
if region in regions:
del regions[region]
##################
# SIGNAL SAMPLES #
##################
if process == "Signal":
# Check if the specified mass point is resolved.
match = re.search(r'MWR(\d+)_MN(\d+)', self._signal_sample)
if match:
mwr = int(match.group(1))
mn = int(match.group(2))
ratio = mn / mwr
if ratio < 0.2:
raise NotImplementedError(f"Choose a resolved sample (MN/MWR > 0.2). MN/MWR = {ratio:.2f} for this sample.")
# Add the cut to the specified mass point.
for mass_point in events.GenModel.fields:
if self._signal_sample in mass_point:
selections.add(f"{self._signal_sample}", eval(f"events.GenModel.WRtoNLtoLLJJ_{self._signal_sample}_TuneCP5_13TeV_madgraph_pythia8==1"))
break
for region in regions:
regions[region].append(self._signal_sample)
for region, cuts in regions.items():
cut = selections.all(*cuts)
output[f'mlljj_{region}'] = (tightLeptons[cut][:, 0] + tightLeptons[cut][:, 1] + AK4Jets[cut][:, 0] + AK4Jets[cut][:, 1]).mass
output[f'mljj_leadlep_{region}'] = (tightLeptons[cut][:, 0] + AK4Jets[cut][:, 0] + AK4Jets[cut][:, 1]).mass
output[f'mljj_subleadlep_{region}'] = (tightLeptons[cut][:, 1] + AK4Jets[cut][:, 0] + AK4Jets[cut][:, 1]).mass
process = dataset #Not sure why I did this
####################
# FILL MASS TUPLES #
####################
# for region, cuts in regions.items():
# cut = selections.all(*cuts)
# output[f'mlljj_{region}'] = (tightLeptons[cut][:, 0] + tightLeptons[cut][:, 1] + AK4Jets[cut][:, 0] + AK4Jets[cut][:, 1]).mass
# output[f'mljj_leadlep_{region}'] = (tightLeptons[cut][:, 0] + AK4Jets[cut][:, 0] + AK4Jets[cut][:, 1]).mass
# output[f'mljj_subleadlep_{region}'] = (tightLeptons[cut][:, 1] + AK4Jets[cut][:, 0] + AK4Jets[cut][:, 1]).mass
###################
# FILL HISTOGRAMS #
###################
for region, cuts in regions.items():
cut = selections.all(*cuts)
output['pt_leadlep'].fill(
process=process,
region=region,
pt_leadlep=tightLeptons[cut][:, 0].pt,
weight=weights.weight()[cut],
)
output['pt_subleadlep'].fill(
process=process,
region=region,
pt_subleadlep=tightLeptons[cut][:, 1].pt,
weight=weights.weight()[cut],
)
output['pt_leadjet'].fill(
process=process,
region=region,
pt_leadjet=AK4Jets[cut][:, 0].pt,
weight=weights.weight()[cut],
)
output['pt_subleadjet'].fill(
process=process,
region=region,
pt_subleadjet=AK4Jets[cut][:, 1].pt,
weight=weights.weight()[cut],
)
output['pt_dileptons'].fill(
process=process,
region=region,
pt_dileptons=(tightLeptons[cut][:, 0]+tightLeptons[cut][:, 1]).pt,
weight=weights.weight()[cut],
)
output['pt_dijets'].fill(
process=process,
region=region,
pt_dijets=(AK4Jets[cut][:, 0]+AK4Jets[cut][:, 1]).pt,
weight=weights.weight()[cut],
)
output['eta_leadlep'].fill(
process=process,
region=region,
eta_leadlep=tightLeptons[cut][:, 0].eta,
weight=weights.weight()[cut],
)
output['eta_subleadlep'].fill(
process=process,
region=region,
eta_subleadlep=tightLeptons[cut][:, 1].eta,
weight=weights.weight()[cut],
)
output['eta_leadjet'].fill(
process=process,
region=region,
eta_leadjet=AK4Jets[cut][:, 0].eta,
weight=weights.weight()[cut],
)
output['eta_subleadjet'].fill(
process=process,
region=region,
eta_subleadjet=AK4Jets[cut][:, 1].eta,
weight=weights.weight()[cut],
)
output['phi_leadlep'].fill(
process=process,
region=region,
phi_leadlep=tightLeptons[cut][:, 0].phi,
weight=weights.weight()[cut],
)
output['phi_subleadlep'].fill(
process=process,
region=region,
phi_subleadlep=tightLeptons[cut][:, 1].phi,
weight=weights.weight()[cut],
)
output['phi_leadjet'].fill(
process=process,
region=region,
phi_leadjet=AK4Jets[cut][:, 0].phi,
weight=weights.weight()[cut],
)
output['phi_subleadjet'].fill(
process=process,
region=region,
phi_subleadjet=AK4Jets[cut][:, 1].phi,
weight=weights.weight()[cut],
)
output['mass_dileptons'].fill(
process=process,
region=region,
mass_dileptons=(tightLeptons[cut][:, 0]+tightLeptons[cut][:, 1]).mass,
weight=weights.weight()[cut],
)
output['mass_dijets'].fill(
process=process,
region=region,
mass_dijets=(AK4Jets[cut][:, 0]+AK4Jets[cut][:, 1]).mass,
weight=weights.weight()[cut],
)
output['mass_threeobject_leadlep'].fill(
process=process,
region=region,
mass_threeobject_leadlep=(tightLeptons[cut][:, 0]+AK4Jets[cut][:, 0]+AK4Jets[cut][:, 1]).mass,
weight=weights.weight()[cut],
)
output['mass_threeobject_subleadlep'].fill(
process=process,
region=region,
mass_threeobject_subleadlep=(tightLeptons[cut][:, 1]+AK4Jets[cut][:, 0]+AK4Jets[cut][:, 1]).mass,
weight=weights.weight()[cut],
)
output['mass_fourobject'].fill(
process=process,
region=region,
mass_fourobject=(tightLeptons[cut][:, 0]+tightLeptons[cut][:, 1]+AK4Jets[cut][:, 0]+AK4Jets[cut][:, 1]).mass,
weight=weights.weight()[cut],
)
output["weightStats"] = weights.weightStatistics
return output
def postprocess(self, accumulator):
return accumulator
def selectElectrons(events):
# select tight electrons
electronSelectTight = (
(events.Electron.pt > 53)
& (np.abs(events.Electron.eta) < 2.4)
& (events.Electron.cutBased_HEEP)
)
# select loose electrons
electronSelectLoose = (
(events.Electron.pt > 53)
& (np.abs(events.Electron.eta) < 2.4)
& (events.Electron.cutBased == 2)
)
return events.Electron[electronSelectTight], events.Electron[electronSelectLoose]
def selectMuons(events):
# select tight muons
muonSelectTight = (
(events.Muon.pt > 53)
& (np.abs(events.Muon.eta) < 2.4)
& (events.Muon.highPtId == 2)
& (events.Muon.tkRelIso < 0.1)
)
# select loose muons
muonSelectLoose = (
(events.Muon.pt > 53)
& (np.abs(events.Muon.eta) < 2.4)
& (events.Muon.highPtId == 2)
)
return events.Muon[muonSelectTight], events.Muon[muonSelectLoose]
def selectJets(events):
# select AK4 jets
# hem_issue = ((-3.0 < events.Jet.eta < -1.3) & (-1.57 < events.Jet.phi < -0.87))
jetSelectAK4 = (
(events.Jet.pt > 40)
& (np.abs(events.Jet.eta) < 2.4)
& (events.Jet.isTightLeptonVeto)
)
# select AK8 jets (need to add LSF cut)
jetSelectAK8 = (
(events.FatJet.pt > 200)
& (np.abs(events.FatJet.eta) < 2.4)
& (events.FatJet.jetId == 2)
& (events.FatJet.msoftdrop > 40)
)
return events.Jet[jetSelectAK4], events.FatJet[jetSelectAK8]