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selectionDef.py
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selectionDef.py
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import os
import sys
from copy import copy, deepcopy
from bamboo import treefunctions as op
from bamboo.plots import SelectionWithDataDriven
#===============================================================================================#
# SelectionObject class #
#===============================================================================================#
class SelectionObject:
"""
Helper class to hold a selection including :
sel : refine object
selName : name of the selection used in the refine
yieldTitle : Title for the yield table in LateX
NB : copy() might be useful to be able to branch out the selection
"""
def __init__(self,sel,selName,yieldTitle,yieldObj=None,record_yields=False):
self.sel = sel
self.selName = selName
self.yieldTitle = yieldTitle
self.yieldObj = yieldObj
self.record_yields = record_yields
def refine(self,cut=None,weight=None,autoSyst=True):
"""
Overload the refine function to avoid repeating the selName arg
"""
self.sel = self.sel.refine(name = self.selName,
cut = cut,
weight = weight,
autoSyst= autoSyst)
if self.record_yields:
self._makeYield()
def create(self, ddSuffix, cut=None, weight=None, ddCut=None, ddWeight=None, autoSyst=True, enable=True):
"""
Overload the create function for data-driven estimation to avoid repeating the sel and selName arg
"""
self.sel = SelectionWithDataDriven.create(parent = self.sel,
name = self.selName,
ddSuffix = ddSuffix,
cut = cut,
weight = weight,
ddCut = ddCut,
ddWeight = ddWeight,
autoSyst = autoSyst,
enable = enable)
if self.record_yields:
self._makeYield()
def _makeYield(self):
"""
Record an entry in the yield table
"""
self.yieldObj.add(self.sel,title=self.yieldTitle)
#===============================================================================================#
# Selections #
#===============================================================================================#
def makeSingleLeptonSelection(self,baseSel,plot_yield=False,use_dd=True,fake_selection=False):
"""
Produces the requested lepton selection (encapsulated in SelectionObject class objects)
Will produce a dict :
- key = level required (Preselected, Fakeable, Tight and/or FakeExtrapolation)
- value = list of SelectionObject class objects per channel [El,Mu]
We start by leptons so no need to pass selObject
Code organized such that selections are not repeated and hopefully optimzed the RooDataFrame
"""
#--- Lambdas ---#
# Fakeable lambdas #
#lambdaElPtCut = lambda lepColl: lepColl[0].pt > 32
#lambdaMuPtCut = lambda lepColl: lepColl[0].pt > 25
lambdaElPtCut = lambda lepColl: self.electron_conept[lepColl[0].idx] > 32.0
lambdaMuPtCut = lambda lepColl: self.muon_conept[lepColl[0].idx] > 25.0
# Tight #
lambda_tight_ele = lambda ele : op.AND(self.lambda_is_matched(ele) , self.lambda_electronTightSel(ele))
lambda_tight_mu = lambda mu : op.AND(self.lambda_is_matched(mu) , self.lambda_muonTightSel(mu))
if self.args.FakeRateNonClosureMCFakes:
# MC fakes are events in the SR (tight) but non-prompt (the actual MC fakes, very unreliable, hence our datadriven estimate) #
lambda_fake_ele = lambda ele : op.AND(op.NOT(self.lambda_is_matched(ele)) , self.lambda_electronTightSel(ele))
lambda_fake_mu = lambda mu : op.AND(op.NOT(self.lambda_is_matched(mu)) , self.lambda_muonTightSel(mu))
# We use unit-weight Fake Factors, because the events are actually taken from SR #
lambda_FF_ele = lambda ele : [op.c_float(1.)]
lambda_FF_mu = lambda mu : [op.c_float(1.)]
# Override the selections #
fake_selection = True
use_dd = False
elif self.args.FakeRateNonClosureMCClosure:
# MC closure are events in the CR (non-tight) but non-prompt -> used with MC QCD fake rates to evaluate closure #
lambda_fake_ele = lambda ele : op.AND(op.NOT(self.lambda_is_matched(ele)) , op.NOT(self.lambda_electronTightSel(ele)))
lambda_fake_mu = lambda mu : op.AND(op.NOT(self.lambda_is_matched(mu)) , op.NOT(self.lambda_muonTightSel(mu)))
# We use the mc-driven Fake Factors #
lambda_FF_ele = lambda ele : [self.ElFakeFactorNonClosure(ele)]
lambda_FF_mu = lambda mu : [self.MuFakeFactorNonClosure(mu)]
# Override the selections #
fake_selection = True
use_dd = False
else:
# SR events used for Fake estimation are in the Fake CR (non-tight) and prompt for MC (for data, both prompt and non prompt, indistinguishable) #
lambda_fake_ele = lambda ele : op.AND(self.lambda_is_matched(ele) , op.NOT(self.lambda_electronTightSel(ele)))
lambda_fake_mu = lambda mu : op.AND(self.lambda_is_matched(mu) , op.NOT(self.lambda_muonTightSel(mu)))
# We use the datadriven Fake Factors #
lambda_FF_ele = lambda ele : [self.ElFakeFactor(ele)]
lambda_FF_mu = lambda mu : [self.MuFakeFactor(mu)]
#Z-nominal mass
Zmass = 91.1876
# Mll cut lambdas #
lambda_lowMllCut = lambda dileptons: op.NOT(op.rng_any(dileptons, lambda dilep : op.invariant_mass(dilep[0].p4, dilep[1].p4) < 12.))
# If any dilepton preselected below 12GeV, returns False
lambda_outZ = lambda dileptons: op.NOT(op.rng_any(dileptons, lambda dilep : op.in_range(Zmass - 10., op.invariant_mass(dilep[0].p4, dilep[1].p4), Zmass + 10.)))
# If any dilepton preselected within Z peak, returns False
lambda_inZ = lambda dilep : op.in_range(Zmass - 10., op.invariant_mass(dilep[0].p4, dilep[1].p4), Zmass + 10.)
if self.is_MC:
# Loose SF #
ElLooseSF = lambda lep : [op.defineOnFirstUse(self.ttH_singleElectron_trigSF(lep))] + self.lambda_ElectronLooseSF(lep)
MuLooseSF = lambda lep : [op.defineOnFirstUse(self.ttH_singleMuon_trigSF(lep))] + self.lambda_MuonLooseSF(lep)
# Tight SF #
ElTightSF = lambda lep : self.lambda_ElectronTightSF(lep)
MuTightSF = lambda lep : self.lambda_MuonTightSF(lep)
else:
ElLooseSF = lambda lep : []
MuLooseSF = lambda lep : []
ElTightSF = lambda lep : []
MuTightSF = lambda lep : []
#---- Select fakeables -----#
ElSelObject = SelectionObject(sel = baseSel,
selName = "Has1FakeableEl",
yieldTitle = "Fakeable lepton (channel $e^{\pm}$)",
yieldObj = self.yields,
record_yields = self.args.PrintYield or self.args.OnlyYield)
MuSelObject = SelectionObject(sel = baseSel,
selName = "Has1FakeableMu",
yieldTitle = "Fakeable lepton (channel $\mu^{\pm}$)",
yieldObj = self.yields,
record_yields = self.args.PrintYield or self.args.OnlyYield)
ElSelObject.refine(cut = [op.rng_len(self.electronsFakeSel) >= 1,
op.OR(op.rng_len(self.muonsFakeSel) == 0,
self.electron_conept[self.electronsFakeSel[0].idx] > self.muon_conept[self.muonsFakeSel[0].idx])])
# With this selection the lead fakeable lepton is self.electronsFakeSel[0]
MuSelObject.refine(cut = [op.rng_len(self.muonsFakeSel) >= 1,
op.OR(op.rng_len(self.electronsFakeSel) == 0,
self.muon_conept[self.muonsFakeSel[0].idx] > self.electron_conept[self.electronsFakeSel[0].idx])])
# With this selection the lead fakeable lepton is self.muonsFakeSel[0]
#---- Triggers ----#
ElSelObject.selName += "WithTriggers"
MuSelObject.selName += "WithTriggers"
ElSelObject.yieldTitle += " + SE triggers"
MuSelObject.yieldTitle += " + SM triggers"
ElSelObject.refine(cut = self.returnTriggers(["SingleElectron"]),
weight = ElLooseSF(self.electronsFakeSel[0]))
MuSelObject.refine(cut = self.returnTriggers(["SingleMuon"]),
weight = MuLooseSF(self.muonsFakeSel[0]))
#---- PT cuts ----#
ElSelObject.selName += "PtCuts"
MuSelObject.selName += "PtCuts"
ElSelObject.yieldTitle += " + $P_T > 32$"
MuSelObject.yieldTitle += " + $P_T > 25$"
ElSelObject.refine(cut = lambdaElPtCut(self.electronsFakeSel))
MuSelObject.refine(cut = lambdaMuPtCut(self.muonsFakeSel))
#---- Mll cuts ----#
ElSelObject.selName += "PreMllCut"
MuSelObject.selName += "PreMllCut"
ElSelObject.yieldTitle += " + $M_{ll}>12$"
MuSelObject.yieldTitle += " + $M_{ll}>12$"
mllCut = [lambda_lowMllCut(self.ElElDileptonPreSel),lambda_lowMllCut(self.MuMuDileptonPreSel),lambda_lowMllCut(self.ElMuDileptonPreSel)]
ElSelObject.refine(cut = mllCut)
MuSelObject.refine(cut = mllCut)
if not self.args.NoZVeto:
ElSelObject.selName += "OutZ"
MuSelObject.selName += "OutZ"
ElSelObject.yieldTitle += " + Z Veto $|M_{ll}^{Preselected OS SF}-M_Z|>10$"
MuSelObject.yieldTitle += " + Z Veto $|M_{ll}^{Preselected OS SF}-M_Z|>10$"
outZCut = [lambda_outZ(self.OSElElDileptonPreSel),lambda_outZ(self.OSMuMuDileptonPreSel)]
ElSelObject.refine(cut = outZCut)
MuSelObject.refine(cut = outZCut)
#---- Tau veto ----#
if not self.args.NoTauVeto: # nTau (isolated from fakeable leptons) = 0
# All the preselected leptons outside Z peak region within 10 GeV
ElSelObject.selName += "noTau"
MuSelObject.selName += "noTau"
ElSelObject.yieldTitle += " + Tau Veto"
MuSelObject.yieldTitle += " + Tau Veto"
ElSelObject.refine(cut = [op.rng_len(self.tauCleanSel) == 0])
MuSelObject.refine(cut = [op.rng_len(self.tauCleanSel) == 0])
#---- Tight selection ----#
ElSelObject.selName += "TightSelected"
MuSelObject.selName += "TightSelected"
ElSelObject.yieldTitle += " + Tight selection"
MuSelObject.yieldTitle += " + Tight selection"
if use_dd:
# Use the datadriven in parallel of the SR selection #
enable = "FakeExtrapolation" in self.datadrivenContributions and self.datadrivenContributions["FakeExtrapolation"].usesSample(self.sample, self.sampleCfg)
ElSelObject.create(cut = [lambda_tight_ele(self.electronsFakeSel[0]),
op.rng_len(self.electronsTightSel) == 1,
op.rng_len(self.muonsTightSel) == 0,
self.electronsTightSel[0].idx == self.electronsFakeSel[0].idx],
weight = ElTightSF(self.electronsTightSel[0]),
ddSuffix = "FakeExtrapolation",
ddCut = [lambda_fake_ele(self.electronsFakeSel[0]), op.rng_len(self.electronsTightSel)+op.rng_len(self.muonsTightSel)<=1],
ddWeight = lambda_FF_ele(self.electronsFakeSel[0])+ElTightSF(self.electronsFakeSel[0]),
enable = enable)
MuSelObject.create(cut = [lambda_tight_mu(self.muonsFakeSel[0]),
op.rng_len(self.muonsTightSel) == 1,
op.rng_len(self.electronsTightSel) == 0,
self.muonsTightSel[0].idx == self.muonsFakeSel[0].idx],
weight = MuTightSF(self.muonsTightSel[0]),
ddSuffix = "FakeExtrapolation",
ddCut = [lambda_fake_mu(self.muonsFakeSel[0]), op.rng_len(self.electronsTightSel)+op.rng_len(self.muonsTightSel)<=1],
ddWeight = lambda_FF_mu(self.muonsFakeSel[0])+MuTightSF(self.muonsFakeSel[0]),
enable = enable)
elif fake_selection:
# Only return the datadriven CR selection (eg, skimmer or non closure) #
ElSelObject.refine(cut = [lambda_fake_ele(self.electronsFakeSel[0]), op.rng_len(self.electronsTightSel)+op.rng_len(self.muonsTightSel)<=1],
weight = lambda_FF_ele(self.electronsFakeSel[0]))
MuSelObject.refine(cut = [lambda_fake_mu(self.muonsFakeSel[0]), op.rng_len(self.electronsTightSel)+op.rng_len(self.muonsTightSel)<=1],
weight = lambda_FF_mu(self.muonsFakeSel[0]))
# -> in SR : lead lepton is self.electronsTightSel[0] or self.muonsTightSel[0]
# -> in Fake CR : lead lepton is self.electronsFakeSel[0] or self.muonsFakeSel[0]
else:
# Only return the SR selection #
ElSelObject.refine(cut = [lambda_tight_ele(self.electronsFakeSel[0]),
op.rng_len(self.electronsTightSel) == 1,
op.rng_len(self.muonsTightSel) == 0,
self.electronsTightSel[0].idx == self.electronsFakeSel[0].idx],
weight = ElTightSF(self.electronsTightSel[0]))
MuSelObject.refine(cut = [lambda_tight_mu(self.muonsFakeSel[0]),
op.rng_len(self.muonsTightSel) == 1,
op.rng_len(self.electronsTightSel) == 0,
self.muonsTightSel[0].idx == self.muonsFakeSel[0].idx],
weight = MuTightSF(self.muonsTightSel[0]))
# Return #
return [ElSelObject,MuSelObject]
def makeResolvedSelection(self,selObject,copy_sel=False):
"""
Produces the Ak4 jet selection
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection :
No ak8-bTagged Jets : To make exclusive from Boosted category
TightResolvedSelection (nAk4 Jets ≥ 4) : Full Reco
LooseResolvedSelection (nAk4 Jets < 4) : Missed
"""
if copy_sel:
selObject = copy(selObject)
selObject.selName += "Resolved"
selObject.yieldTitle += " + Ak4 Jets $\geq 3$"
selObject.refine(cut = [op.rng_len(self.ak4Jets) >= 3,
op.rng_len(self.ak4BJets) >= 1,
op.rng_len(self.ak8BJets) == 0])
#if plot_yield:
# selObject.makeYield(self.yieldPlots)
if copy_sel :
return selObject
def makeBoostedSelection(self,selObject,copy_sel=False):
"""
Produces the Ak8b jet selection
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : at least one Ak8b jet
"""
if copy_sel:
selObject = copy(selObject)
selObject.selName += "Boosted"
selObject.yieldTitle += " + Ak8 jets $\geq 1$ Ak4jets $\geq 1$"
selObject.refine(cut=[op.rng_len(self.ak8BJets) >= 1, op.rng_len(self.ak4JetsCleanedFromAk8b) >= 1])
#selObject.refine(cut=[op.rng_len(self.ak8BJets) >= 1])
#if plot_yield:
# selObject.makeYield(self.yieldPlots)
if copy_sel:
return selObject
def makeCoarseResolvedSelection(self,selObject,nJet,copy_sel=False):
"""
Produces the Ak4 jet selection
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection :
No ak8-bTagged Jets : To make exclusive from Boosted category
TightResolvedSelection (nAk4 Jets ≥ 4) : Full Reco
LooseResolvedSelection (nAk4 Jets < 4) : Missed
"""
if copy_sel:
selObject = copy(selObject)
if nJet == 3:
selObject.selName += "Ak4JetsLoose"
selObject.yieldTitle += " + Ak4 Jets Loose = 3"
selObject.refine(cut = [op.rng_len(self.ak4Jets) == nJet,
op.rng_len(self.ak8BJets) == 0])
elif nJet == 4:
selObject.selName += "Ak4JetsTight"
selObject.yieldTitle += " + Ak4 Jets Tight $\geq 4$"
selObject.refine(cut = [op.rng_len(self.ak4Jets) >= nJet,
op.rng_len(self.ak8BJets) == 0])
if copy_sel :
return selObject
def makeCoarseBoostedSelection(self,selObject,copy_sel=False):
"""
Produces the Ak8b jet selection
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : at least one Ak8b jet
"""
if copy_sel:
selObject = copy(selObject)
selObject.selName += "Ak8BJets"
selObject.yieldTitle += " + Ak8 bJets $\geq 1$"
selObject.refine(cut=[op.rng_len(self.ak8BJets) >= 1])
if copy_sel:
return selObject
def makeExclusiveLooseResolvedJetComboSelection(self,selObject,nbJet,copy_sel=False):
if copy_sel:
selObject = copy(selObject)
if nbJet == 0:
AppliedSF = None
selObject.selName += "has0bJets"
selObject.yieldTitle += " + Exclusive Resolved (nbJet = 0)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 0],
weight = AppliedSF)
elif nbJet == 1:
AppliedSF = None
#selObject.selName += "ExclusiveResolved1b2j"
#selObject.yieldTitle += " + Exclusive Resolved (nbJet = 1, nAk4LightJet = 2)"
selObject.selName += "has1bJets"
selObject.yieldTitle += " + Exclusive Resolved (nbJet = 1)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 1],
weight = AppliedSF)
elif nbJet == 2:
AppliedSF = None
selObject.selName += "has2bJets"
selObject.yieldTitle += " + Exclusive Resolved (nbJet = 2)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) >= 2],
weight = None)
else: raise RuntimeError ("Error in Jet Selection!!!")
if copy_sel:
return selObject
def makeExclusiveTightResolvedJetComboSelection(self,selObject,nbJet,copy_sel=False):
if copy_sel:
selObject = copy(selObject)
if nbJet == 0:
AppliedSF = None
selObject.selName += "ExclusiveResolved0b4j"
selObject.yieldTitle += " + Exclusive Resolved (nbJet = 0, nAk4LightJets $\geq 4$)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 0],
weight = AppliedSF)
elif nbJet == 1:
AppliedSF = None
selObject.selName += "ExclusiveResolved1b3j"
selObject.yieldTitle += " + Exclusive Resolved (nbjet = 1, nAk4LightJets $\geq 3$)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 1],
weight = AppliedSF)
elif nbJet == 2:
AppliedSF = None
selObject.selName += "ExclusiveResolved2b2j"
selObject.yieldTitle += " + Exclusive Resolved (nbjet $\geq 2$, nAk4LightJets $\geq 2$)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) >= 2,
op.rng_len(self.ak4LightJetsByBtagScore) >= 2],
weight = AppliedSF)
else: raise RuntimeError ("Error in Jet Selection!!!")
if copy_sel:
return selObject
def makeExclusiveResolvedJetComboSelection(self,selObject,nbJet,nJet,copy_sel=False):
if copy_sel:
selObject = copy(selObject)
if nJet == 4 :
if nbJet == 0:
AppliedSF = None
selObject.selName += "ExclusiveResolved0b4j"
selObject.yieldTitle += " + Exclusive Resolved (nbJet = 0, nAk4LightJets $\geq 4$)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 0, op.rng_len(self.ak4LightJetsByPt) >= 4],
weight = AppliedSF)
elif nbJet == 1:
AppliedSF = None
selObject.selName += "ExclusiveResolved1b3j"
selObject.yieldTitle += " + Exclusive Resolved (nbjet = 1, nAk4LightJets $\geq 3$)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 1, op.rng_len(self.ak4LightJetsByPt) >= 3],
weight = AppliedSF)
elif nbJet == 2:
AppliedSF = None
selObject.selName += "ExclusiveResolved2b2j"
selObject.yieldTitle += " + Exclusive Resolved (nbjet $\geq 2$, nAk4LightJets $\geq 2$)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) >= 2,op.rng_len(self.ak4LightJetsByPt) >= 2],
weight = AppliedSF)
else: raise RuntimeError ("Error in Jet Selection!!!")
if nJet == 3 :
if nbJet == 0:
AppliedSF = None
selObject.selName += "ExclusiveResolved0b3j"
selObject.yieldTitle += " + Exclusive Resolved (nbJet = 0, nAk4LightJet = 3)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 0, op.rng_len(self.ak4LightJetsByPt) == 3],
weight = AppliedSF)
elif nbJet == 1:
AppliedSF = None
selObject.selName += "ExclusiveResolved1b2j"
selObject.yieldTitle += " + Exclusive Resolved (nbJet = 1, nAk4LightJet = 2)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 1, op.rng_len(self.ak4LightJetsByPt) == 2],
weight = AppliedSF)
elif nbJet == 2:
AppliedSF = None
selObject.selName += "ExclusiveResolved2b1j"
selObject.yieldTitle += " + Exclusive Resolved (nbJet = 2, nAk4LightJet = 1)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 2, op.rng_len(self.ak4LightJetsByPt) == 1],
weight = None)
else: raise RuntimeError ("Error in Jet Selection!!!")
def makeExclusiveResolvedSelection(self,selObject,nbJet,copy_sel=False):
if copy_sel:
selObject = copy(selObject)
if nbJet == 1:
AppliedSF = None
selObject.selName += "ExclusiveResolved1b"
selObject.yieldTitle += " + Exclusive Resolved (nbjet = 1)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) == 1],
weight = AppliedSF)
elif nbJet == 2:
AppliedSF = None
selObject.selName += "ExclusiveResolved2b"
selObject.yieldTitle += " + Exclusive Resolved (nbjet $\geq 2$)"
selObject.refine(cut = [op.rng_len(self.ak4BJets) >= 2],
weight = AppliedSF)
else: raise RuntimeError ("Error in Jet Selection!!!")
if copy_sel:
return selObject
def makeSemiBoostedHbbSelection(self,selObject,nNonb,copy_sel=False):
"""
Produces the inclusive boosted selection
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : At least one btagged Ak8 jet
"""
if copy_sel:
selObject = copy(selObject)
if nNonb == 1:
AppliedSF = None # TODO: correct at v7
selObject.selName += "HbbBoostedWtoJ"
selObject.yieldTitle += " + HbbBoostedWtoJ"
selObject.refine(cut = [op.rng_len(self.ak4JetsCleanedFromAk8b) == nNonb],
weight = AppliedSF)
elif nNonb == 2:
AppliedSF = None # TODO: correct at v7
selObject.selName += "HbbBoostedWtoJJ"
selObject.yieldTitle += " + HbbBoostedWtoJJ"
selObject.refine(cut = [op.rng_len(self.ak4JetsCleanedFromAk8b) >= nNonb],
weight = AppliedSF)
if copy_sel:
return selObject
def makeVBFSelection(self,selObject,vbfJetPairs,copy_sel=False):
if copy_sel:
selObject = copy(selObject)
selObject.selName += "HasVBFjets"
selObject.yieldTitle += " + VBF Jet Pairs $\geq 1$"
selObject.refine(cut=[op.rng_len(vbfJetPairs) >= 1])
if copy_sel:
return selObject
def makeNoVBFSelection(self,selObject,vbfJetPairs,copy_sel=False):
if copy_sel:
selObject = copy(selObject)
selObject.selName += "HasNoVBFjets"
selObject.yieldTitle += " + VBF Jet Pairs = 0"
selObject.refine(cut=[op.rng_len(vbfJetPairs) == 0])
if copy_sel:
return selObject
def makeDoubleLeptonSelection(self,baseSel,use_dd=True,fake_selection=False):
"""
Produces the requested lepton selection (encapsulated in SelectionObject class objects)
Will produce a dict :
- key = level required (Preselected, Fakeable, Tight and/or FakeExtrapolation)
- value = list of SelectionObject class objects per channel [ElEl,MuMu,ElMu]
We start by leptons so no need to pass selObject
Code organized such that selections are not repeated and hopefully optimized the RooDataFrame
"""
#---- Common lambdas ----#
lambdaOSDilepton = lambda dilep : dilep[0].charge != dilep[1].charge
# Mll cut lambdas #
ZMass = 91.1876
lambda_lowMllCut = lambda dileptons: op.NOT(op.rng_any(dileptons, lambda dilep : op.invariant_mass(dilep[0].p4, dilep[1].p4)<12.))
# If any dilepton below 12GeV, returns False
lambda_outZ = lambda dileptons: op.NOT(op.rng_any(dileptons, lambda dilep : op.in_range(ZMass-10.,op.invariant_mass(dilep[0].p4, dilep[1].p4),ZMass+10.)))
# If any dilepton within Z peak, returns False
lambda_inZ = lambda dilep : op.in_range(ZMass-10.,op.invariant_mass(dilep[0].p4, dilep[1].p4),ZMass+10.)
# Pt cuts #
lambdaLowPtCutElEl = lambda dilep: op.AND( self.electron_conept[dilep[0].idx] > 15 , self.electron_conept[dilep[1].idx] > 15) # subleading above 15 GeV
lambdaLowPtCutMuMu = lambda dilep: op.AND( self.muon_conept[dilep[0].idx] > 15 , self.muon_conept[dilep[1].idx] > 15) # subleading above 15 GeV
lambdaLowPtCutElMu = lambda dilep: op.AND( self.electron_conept[dilep[0].idx] > 15 , self.muon_conept[dilep[1].idx] > 15) # subleading above 15 GeV
lambdaLeadingPtCutElEl = lambda dilep: op.OR( self.electron_conept[dilep[0].idx] > 25 , self.electron_conept[dilep[1].idx] > 25) # leading above 25 GeV
lambdaLeadingPtCutMuMu = lambda dilep: op.OR( self.muon_conept[dilep[0].idx] > 25 , self.muon_conept[dilep[1].idx] > 25) # leading above 25 GeV
lambdaLeadingPtCutElMu = lambda dilep: op.OR( self.electron_conept[dilep[0].idx] > 25 , self.muon_conept[dilep[1].idx] > 25) # leading above 25 GeV
# Need to split by flavour because conept definition needs it
######### TTH ID selection #########
#---- SF ----#
if self.is_MC:
ElElLooseSF = lambda dilep : [op.defineOnFirstUse(self.lambda_ttH_doubleElectron_trigSF(dilep))] + self.lambda_ElectronLooseSF(dilep[0]) + self.lambda_ElectronLooseSF(dilep[1])
MuMuLooseSF = lambda dilep : [op.defineOnFirstUse(self.lambda_ttH_doubleMuon_trigSF(dilep))] + self.lambda_MuonLooseSF(dilep[0]) + self.lambda_MuonLooseSF(dilep[1])
ElMuLooseSF = lambda dilep : [op.defineOnFirstUse(self.lambda_ttH_electronMuon_trigSF(dilep))] + self.lambda_ElectronLooseSF(dilep[0]) + self.lambda_MuonLooseSF(dilep[1])
# lepton SF are defined with get_scalefactors so by default op.defineOnFirstUse is used
# DL trigger SF are using op.systematics so op.defineOnFirstUse must be expicitly used
ElElTightSF = lambda dilep : self.lambda_ElectronTightSF(dilep[0]) + self.lambda_ElectronTightSF(dilep[1])
MuMuTightSF = lambda dilep : self.lambda_MuonTightSF(dilep[0]) + self.lambda_MuonTightSF(dilep[1])
ElMuTightSF = lambda dilep : self.lambda_ElectronTightSF(dilep[0]) + self.lambda_MuonTightSF(dilep[1])
else:
ElElLooseSF = lambda dilep : []
MuMuLooseSF = lambda dilep : []
ElMuLooseSF = lambda dilep : []
ElElTightSF = lambda dilep : []
MuMuTightSF = lambda dilep : []
ElMuTightSF = lambda dilep : []
#---- Select fakeables -----#
ElElSelObj = SelectionObject(sel = baseSel,
selName = "Has2FakeableElEl",
yieldTitle = "Fakeable dilepton (channel $e^+e^-$) ",
yieldObj = self.yields,
record_yields = self.args.PrintYield or self.args.OnlyYield)
MuMuSelObj = SelectionObject(sel = baseSel,
selName = "Has2FakeableMuMu",
yieldTitle = "Fakeable dilepton (channel $\mu^+\mu^-$) ",
yieldObj = self.yields,
record_yields = self.args.PrintYield or self.args.OnlyYield)
ElMuSelObj = SelectionObject(sel = baseSel,
selName = "Has2FakeableElMu",
yieldTitle = "Fakeable dilepton (channel $e^{\pm}\mu^{\mp}$)",
yieldObj = self.yields,
record_yields = self.args.PrintYield or self.args.OnlyYield)
ElElSelObj.refine(cut = [op.rng_len(self.ElElFakeSel) >= 1,
op.OR(op.rng_len(self.muonsFakeSel) == 0,
op.AND(op.rng_len(self.muonsFakeSel) == 1,
self.electron_conept[self.ElElFakeSel[0][0].idx] > self.muon_conept[self.muonsFakeSel[0].idx],
self.electron_conept[self.ElElFakeSel[0][1].idx] > self.muon_conept[self.muonsFakeSel[0].idx]),
op.AND(op.rng_len(self.muonsFakeSel) >= 2,
self.electron_conept[self.ElElFakeSel[0][0].idx] > self.muon_conept[self.muonsFakeSel[0].idx],
self.electron_conept[self.ElElFakeSel[0][1].idx] > self.muon_conept[self.muonsFakeSel[0].idx],
self.electron_conept[self.ElElFakeSel[0][0].idx] > self.muon_conept[self.muonsFakeSel[1].idx],
self.electron_conept[self.ElElFakeSel[0][1].idx] > self.muon_conept[self.muonsFakeSel[1].idx]))])
MuMuSelObj.refine(cut = [op.rng_len(self.MuMuFakeSel) >= 1,
op.OR(op.rng_len(self.electronsFakeSel) == 0,
op.AND(op.rng_len(self.electronsFakeSel) == 1,
self.muon_conept[self.MuMuFakeSel[0][0].idx] > self.electron_conept[self.electronsFakeSel[0].idx],
self.muon_conept[self.MuMuFakeSel[0][1].idx] > self.electron_conept[self.electronsFakeSel[0].idx]),
op.AND(op.rng_len(self.electronsFakeSel) >= 2,
self.muon_conept[self.MuMuFakeSel[0][0].idx] > self.electron_conept[self.electronsFakeSel[0].idx],
self.muon_conept[self.MuMuFakeSel[0][1].idx] > self.electron_conept[self.electronsFakeSel[0].idx],
self.muon_conept[self.MuMuFakeSel[0][0].idx] > self.electron_conept[self.electronsFakeSel[1].idx],
self.muon_conept[self.MuMuFakeSel[0][1].idx] > self.electron_conept[self.electronsFakeSel[1].idx]))])
ElMuSelObj.refine(cut = [op.rng_len(self.ElMuFakeSel) >= 1,
op.OR(op.AND(op.rng_len(self.electronsFakeSel) == 1,
op.rng_len(self.muonsFakeSel) == 1),
op.AND(op.rng_len(self.electronsFakeSel) >= 2,
op.rng_len(self.muonsFakeSel) == 1,
self.muon_conept[self.ElMuFakeSel[0][1].idx] > self.electron_conept[self.electronsFakeSel[1].idx]),
op.AND(op.rng_len(self.muonsFakeSel) >= 2,
op.rng_len(self.electronsFakeSel) == 1,
self.electron_conept[self.ElMuFakeSel[0][0].idx] > self.muon_conept[self.muonsFakeSel[1].idx]),
op.AND(op.rng_len(self.electronsFakeSel) >= 2,
op.rng_len(self.muonsFakeSel) >= 2,
self.muon_conept[self.ElMuFakeSel[0][1].idx] > self.electron_conept[self.electronsFakeSel[1].idx],
self.electron_conept[self.ElMuFakeSel[0][0].idx] > self.muon_conept[self.muonsFakeSel[1].idx]))])
#---- Opposite sign ----#
ElElSelObj.selName += "OS"
MuMuSelObj.selName += "OS"
ElMuSelObj.selName += "OS"
ElElSelObj.yieldTitle += " + OS"
MuMuSelObj.yieldTitle += " + OS"
ElMuSelObj.yieldTitle += " + OS"
ElElSelObj.refine(cut = [lambdaOSDilepton(self.ElElFakeSel[0])])
MuMuSelObj.refine(cut = [lambdaOSDilepton(self.MuMuFakeSel[0])])
ElMuSelObj.refine(cut = [lambdaOSDilepton(self.ElMuFakeSel[0])])
#---- Triggers ----#
ElElSelObj.selName += "WithTriggers"
MuMuSelObj.selName += "WithTriggers"
ElMuSelObj.selName += "WithTriggers"
ElElSelObj.yieldTitle += " + SE/DE triggers"
MuMuSelObj.yieldTitle += " + SM/DM triggers"
ElMuSelObj.yieldTitle += " + SE/SM/EM triggers"
ElElSelObj.refine(cut = self.returnTriggers(["SingleElectron","DoubleEGamma"]),
weight = ElElLooseSF(self.ElElFakeSel[0]))
MuMuSelObj.refine(cut = self.returnTriggers(["SingleMuon","DoubleMuon"]),
weight = MuMuLooseSF(self.MuMuFakeSel[0]))
ElMuSelObj.refine(cut = self.returnTriggers(["SingleElectron","SingleMuon","MuonEG"]),
weight = ElMuLooseSF(self.ElMuFakeSel[0]))
#---- PT cuts ----#
ElElSelObj.selName += "PtCuts"
MuMuSelObj.selName += "PtCuts"
ElMuSelObj.selName += "PtCuts"
ElElSelObj.yieldTitle += " + $P_T^{leading} > 25$ + $P_T^{subleading} > 15$"
MuMuSelObj.yieldTitle += " + $P_T^{leading} > 25$ + $P_T^{subleading} > 15$"
ElMuSelObj.yieldTitle += " + $P_T^{leading} > 25$ + $P_T^{subleading} > 15$"
ElElSelObj.refine(cut = [lambdaLowPtCutElEl(self.ElElFakeSel[0]),lambdaLeadingPtCutElEl(self.ElElFakeSel[0])])
MuMuSelObj.refine(cut = [lambdaLowPtCutMuMu(self.MuMuFakeSel[0]),lambdaLeadingPtCutMuMu(self.MuMuFakeSel[0])])
ElMuSelObj.refine(cut = [lambdaLowPtCutElMu(self.ElMuFakeSel[0]),lambdaLeadingPtCutElMu(self.ElMuFakeSel[0])])
#---- Mll cuts ----#
ElElSelObj.selName += "PreMllCut"
ElElSelObj.yieldTitle += " + $M_{ll}>12$"
MuMuSelObj.selName += "PreMllCut"
MuMuSelObj.yieldTitle += " + $M_{ll}>12$"
ElMuSelObj.selName += "PreMllCut"
ElMuSelObj.yieldTitle += " + $M_{ll}>12$"
mllCut = [lambda_lowMllCut(self.ElElDileptonPreSel),lambda_lowMllCut(self.MuMuDileptonPreSel),lambda_lowMllCut(self.ElMuDileptonPreSel)]
ElElSelObj.refine(cut = mllCut)
MuMuSelObj.refine(cut = mllCut)
ElMuSelObj.refine(cut = mllCut)
if not self.args.NoZVeto:
ElElSelObj.selName += "OutZ"
ElElSelObj.yieldTitle += " + Z Veto $|M_{ll}^{Preselected OS SF}-M_Z|>10$"
MuMuSelObj.selName += "OutZ"
MuMuSelObj.yieldTitle += " + Z Veto $|M_{ll}^{Preselected OS SF}-M_Z|>10$"
ElMuSelObj.selName += "OutZ"
ElMuSelObj.yieldTitle += " + Z Veto $|M_{ll}^{Preselected OS SF}-M_Z|>10$"
outZCut = [lambda_outZ(self.OSElElDileptonPreSel),lambda_outZ(self.OSMuMuDileptonPreSel)]
ElElSelObj.refine(cut = outZCut)
MuMuSelObj.refine(cut = outZCut)
ElMuSelObj.refine(cut = outZCut)
if self.args.ZPeak:
ElElSelObj.selName += "ZPeak"
MuMuSelObj.selName += "ZPeak"
ElElSelObj.yieldTitle+= " + Z peak $|M_{ll}-M_Z| < 10 GeV$"
MuMuSelObj.yieldTitle+= " + Z peak $|M_{ll}-M_Z| < 10 GeV$"
ElElSelObj.refine(cut = [lambda_inZ(self.ElElFakeSel[0])])
MuMuSelObj.refine(cut = [lambda_inZ(self.MuMuFakeSel[0])])
#---- Tight selection ----#
ElElSelObj.selName += "TightSelected"
ElElSelObj.yieldTitle += " + Tight selection"
MuMuSelObj.selName += "TightSelected"
MuMuSelObj.yieldTitle += " + Tight selection"
ElMuSelObj.selName += "TightSelected"
ElMuSelObj.yieldTitle += " + Tight selection"
if use_dd:
# Use datadriven in parrallel of actual selection #
enable = "FakeExtrapolation" in self.datadrivenContributions and self.datadrivenContributions["FakeExtrapolation"].usesSample(self.sample, self.sampleCfg)
ElElSelObj.create(cut = [self.lambda_tightpair_ElEl(self.ElElFakeSel[0]),
op.rng_len(self.electronsTightSel) == 2,
op.rng_len(self.muonsTightSel) == 0,
self.ElElTightSel[0][0].idx == self.ElElFakeSel[0][0].idx,
self.ElElTightSel[0][1].idx == self.ElElFakeSel[0][1].idx],
weight = ElElTightSF(self.ElElFakeSel[0]),
ddSuffix = "FakeExtrapolation",
ddCut = [self.lambda_fakepair_ElEl(self.ElElFakeSel[0]),
op.rng_len(self.electronsTightSel) + op.rng_len(self.muonsTightSel)<=2],
ddWeight = [self.ElElFakeFactor(self.ElElFakeSel[0])]+ElElTightSF(self.ElElFakeSel[0]),
enable = enable)
MuMuSelObj.create(cut = [self.lambda_tightpair_MuMu(self.MuMuFakeSel[0]),
op.rng_len(self.electronsTightSel) == 0,
op.rng_len(self.muonsTightSel) == 2,
self.MuMuTightSel[0][0].idx == self.MuMuFakeSel[0][0].idx,
self.MuMuTightSel[0][1].idx == self.MuMuFakeSel[0][1].idx],
weight = MuMuTightSF(self.MuMuFakeSel[0]),
ddSuffix = "FakeExtrapolation",
ddCut = [self.lambda_fakepair_MuMu(self.MuMuFakeSel[0]),
op.rng_len(self.electronsTightSel) + op.rng_len(self.muonsTightSel)<=2],
ddWeight = [self.MuMuFakeFactor(self.MuMuFakeSel[0])]+MuMuTightSF(self.MuMuFakeSel[0]),
enable = enable)
ElMuSelObj.create(cut = [self.lambda_tightpair_ElMu(self.ElMuFakeSel[0]),
op.rng_len(self.electronsTightSel) == 1,
op.rng_len(self.muonsTightSel) == 1,
self.ElMuTightSel[0][0].idx == self.ElMuFakeSel[0][0].idx,
self.ElMuTightSel[0][1].idx == self.ElMuFakeSel[0][1].idx],
weight = ElMuTightSF(self.ElMuFakeSel[0]),
ddSuffix = "FakeExtrapolation",
ddCut = [self.lambda_fakepair_ElMu(self.ElMuFakeSel[0]),
op.rng_len(self.electronsTightSel) + op.rng_len(self.muonsTightSel)<=2],
ddWeight = [self.ElMuFakeFactor(self.ElMuFakeSel[0])]+ElMuTightSF(self.ElMuFakeSel[0]),
enable = enable)
elif fake_selection:
# Return only the selection fot the fake datadriven (eg for skimmer) #
ElElSelObj.refine(cut = [self.lambda_fakepair_ElEl(self.ElElFakeSel[0]),
op.rng_len(self.electronsTightSel) + op.rng_len(self.muonsTightSel)<=2],
weight = ElElTightSF(self.ElElFakeSel[0]))
MuMuSelObj.refine(cut = [self.lambda_fakepair_MuMu(self.MuMuFakeSel[0]),
op.rng_len(self.electronsTightSel) + op.rng_len(self.muonsTightSel)<=2],
weight = MuMuTightSF(self.MuMuFakeSel[0]))
ElMuSelObj.refine(cut = [self.lambda_fakepair_ElMu(self.ElMuFakeSel[0]),
op.rng_len(self.electronsTightSel) + op.rng_len(self.muonsTightSel)<=2],
weight = ElMuTightSF(self.ElMuFakeSel[0]))
else:
# Return only the selection for the SR #
ElElSelObj.refine(cut = [self.lambda_tightpair_ElEl(self.ElElFakeSel[0]),
op.rng_len(self.electronsTightSel) == 2,
op.rng_len(self.muonsTightSel) == 0,
self.ElElTightSel[0][0].idx == self.ElElFakeSel[0][0].idx,
self.ElElTightSel[0][1].idx == self.ElElFakeSel[0][1].idx],
weight = ElElTightSF(self.ElElFakeSel[0]))
MuMuSelObj.refine(cut = [self.lambda_tightpair_MuMu(self.MuMuFakeSel[0]),
op.rng_len(self.electronsTightSel) == 0,
op.rng_len(self.muonsTightSel) == 2,
self.MuMuTightSel[0][0].idx == self.MuMuFakeSel[0][0].idx,
self.MuMuTightSel[0][1].idx == self.MuMuFakeSel[0][1].idx],
weight = MuMuTightSF(self.MuMuFakeSel[0]))
ElMuSelObj.refine(cut = [self.lambda_tightpair_ElMu(self.ElMuFakeSel[0]),
op.rng_len(self.electronsTightSel) == 1,
op.rng_len(self.muonsTightSel) == 1,
self.ElMuTightSel[0][0].idx == self.ElMuFakeSel[0][0].idx,
self.ElMuTightSel[0][1].idx == self.ElMuFakeSel[0][1].idx],
weight = ElMuTightSF(self.ElMuFakeSel[0]))
return ElElSelObj,MuMuSelObj,ElMuSelObj
def makeAtLeastTwoAk4JetSelection(self,selObject,copy_sel=False,use_dd=True):
"""
Produces the Ak4 jet selection
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : at least two Ak4 jets
"""
if copy_sel:
selObject = copy(selObject)
selObject.selName += "TwoAk4Jets"
selObject.yieldTitle += " + Ak4 Jets $\geq 2$"
selObject.refine(cut=[op.rng_len(self.ak4Jets)>=2])
if copy_sel :
return selObject
def makeAtLeastOneAk8JetSelection(self,selObject,copy_sel=False,use_dd=True):
"""
Produces the Ak8 jet selection
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : at least one Ak8 jet
"""
if copy_sel:
selObject = copy(selObject)
selObject.selName += "OneAk8Jet"
selObject.yieldTitle += " + Ak8 Jets $\geq 1$"
selObject.refine(cut=[op.rng_len(self.ak8Jets)>=1])
if copy_sel:
return selObject
def makeExclusiveResolvedNoBtagSelection(self,selObject,copy_sel=False,use_dd=True):
"""
Produces the exclusive resolved selection with no btagging
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : no btagged Ak8 jet (aka boosted), all Ak4 jets are non btagged
"""
AppliedSF = None
if copy_sel:
selObject = copy(selObject)
selObject.selName += "ExclusiveResolvedNoBtag"
selObject.yieldTitle += " + Exclusive Resolved (0 bjet)"
selObject.refine(cut=[op.rng_len(self.ak4BJets)==0,op.rng_len(self.ak8BJets)==0,op.rng_len(self.ak8Jets)==0],weight=AppliedSF)
if copy_sel:
return selObject
def makeExclusiveResolvedOneBtagSelection(self,selObject,copy_sel=False,use_dd=True,dy_selection=False):
"""
Produces the exclusive resolved selection with only one btagging
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : no btagged Ak8 jet (aka boosted), only one btagged Ak4 jet
"""
if copy_sel:
selObject = copy(selObject)
AppliedSF = None
selObject.selName += "ExclusiveResolvedOneBtag"
selObject.yieldTitle += " + Exclusive Resolved (1 bjet)"
if use_dd:
# Use the datadriven selection in parallel of the SR one #
enable = "DYEstimation" in self.datadrivenContributions and self.datadrivenContributions["DYEstimation"].usesSample(self.sample, self.sampleCfg)
selObject.create(ddSuffix = "DYEstimation",
cut = [op.rng_len(self.ak4BJets)==1,op.rng_len(self.ak8BJets)==0],
weight = AppliedSF,
ddCut = [op.rng_len(self.ak4BJets)==0,
op.rng_len(self.ak8BJets)==0,
op.rng_len(self.ak8Jets)==0,
(self.tree.event//5)%2==0],
ddWeight = 2*self.ResolvedDYReweighting1b(self.ak4Jets),
enable = enable)
elif dy_selection:
# Only return the datadriven selection (eg for Skimmer) #
selObject.refine(cut = [op.rng_len(self.ak4BJets)==0,op.rng_len(self.ak8BJets)==0,op.rng_len(self.ak8Jets)==0,(self.tree.event//5)%2==0],
weight = 2*self.ResolvedDYReweighting1b(self.ak4Jets))
else:
# Only return the SR selection #
selObject.refine(cut = [op.rng_len(self.ak4BJets)==1,op.rng_len(self.ak8BJets)==0],
weight = AppliedSF)
if copy_sel:
return selObject
def makeExclusiveResolvedTwoBtagsSelection(self,selObject,copy_sel=False,use_dd=True,dy_selection=False):
"""
Produces the exclusive resolved selection with no btagging
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : no btagged Ak8 jet (aka boosted), two Ak4 btagged jets
"""
AppliedSF = None
if copy_sel:
selObject = copy(selObject)
selObject.selName += "ExclusiveResolvedTwoBtags"
selObject.yieldTitle += " + Exclusive Resolved (2 bjets)"
if use_dd:
# Use the datadriven selection in parallel of the SR one #
enable = "DYEstimation" in self.datadrivenContributions and self.datadrivenContributions["DYEstimation"].usesSample(self.sample, self.sampleCfg)
selObject.create(ddSuffix = "DYEstimation",
cut = [op.rng_len(self.ak4BJets)>=2,op.rng_len(self.ak8BJets)==0],
weight = AppliedSF,
ddCut = [op.rng_len(self.ak4BJets)==0,
op.rng_len(self.ak8BJets)==0,
op.rng_len(self.ak8Jets)==0,
(self.tree.event//5)%2==1],
ddWeight = 2*self.ResolvedDYReweighting2b(self.ak4Jets),
enable = enable)
elif dy_selection:
# Only return the datadriven selection (eg for Skimmer) #
selObject.refine(cut = [op.rng_len(self.ak4BJets)==0,op.rng_len(self.ak8BJets)==0,op.rng_len(self.ak8Jets)==0,(self.tree.event//5)%2==1],
weight = 2*self.ResolvedDYReweighting2b(self.ak4Jets))
else:
# Only return the SR selection #
selObject.refine(cut = [op.rng_len(self.ak4BJets)>=2,op.rng_len(self.ak8BJets)==0],
weight = AppliedSF)
if self.args.TTBarCR:
selObject.selName += "MbbCut150"
selObject.yieldTitle += " + $M_{bb}>150$"
selObject.refine(cut = [op.invariant_mass(self.ak4BJets[0].p4,self.ak4BJets[1].p4)>150])
if copy_sel:
return selObject
def makeInclusiveBoostedNoBtagSelection(self,selObject,copy_sel=False):
"""
Produces the inclusive boosted selection(0 btag)
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : No btagged Ak8 jet
"""
if copy_sel:
selObject = copy(selObject)
selObject.selName += "InclusiveBoostedNoBtag"
selObject.yieldTitle += " + Inclusive Boosted 0 Btag"
selObject.refine(cut = [op.rng_len(self.ak8BJets) == 0,op.rng_len(self.ak4BJets) == 0])
if copy_sel:
return selObject
def makeInclusiveBoostedOneBtagSelection(self,selObject,copy_sel=False,use_dd=True,dy_selection=False):
"""
Produces the inclusive boosted selection (1 btag)
inputs :
- selObject : SelectionObject class objects (contains bamboo selection, its name and the yield title)
- copy_sel : wether to copy and return a new selection object built on the one provided, if not will modify it
Careful : if copy_sel is False, the selObject will be modified
Selection : At least one btagged Ak8 jet
"""
AppliedSF = None
if copy_sel:
selObject = copy(selObject)
selObject.selName += "InclusiveBoostedOneBtag"
selObject.yieldTitle += " + Inclusive Boosted 1 Btag"
if use_dd:
# Use the datadriven selection in parallel of the SR one #
enable = "DYEstimation" in self.datadrivenContributions and self.datadrivenContributions["DYEstimation"].usesSample(self.sample, self.sampleCfg)
selObject.create(ddSuffix = "DYEstimation",
cut = [op.rng_len(self.ak8BJets) >= 1],
weight = AppliedSF,
ddCut = [op.rng_len(self.ak8BJets) == 0,op.rng_len(self.ak4BJets) == 0],
ddWeight = self.BoostedDYReweighting1b(self.ak8Jets[0]),
enable = enable)
elif dy_selection:
# Only return the datadriven selection (eg for Skimmer) #
selObject.refine(cut = [op.rng_len(self.ak8BJets) == 0,op.rng_len(self.ak4BJets) == 0],
weight = self.BoostedDYReweighting1b(self.ak8Jets[0]))
else:
# Only return the SR selection #
selObject.refine(cut = [op.rng_len(self.ak8BJets)>=1],
weight = AppliedSF)
if copy_sel:
return selObject
def makeDNNOutputNodesSelections(self,selObject,output,suffix=""):
selBaseObject = copy(selObject)
selObjDict = {}
maxIdx = op.rng_max_element_index(output)
for i,node in enumerate(self.nodes):
newSelObj = copy(selBaseObject)
newSelObj.selName += f"{suffix}{node}"
newSelObj.yieldTitle += f"{suffix} in {node}"
newSelObj.refine(cut = [maxIdx == op.c_int(i)])
selObjDict[node] = newSelObj
return selObjDict