def comp_smin(self, lepconep4, met, jets, bjets, wjets):
self.blank_p4 = op.construct(
"ROOT::Math::LorentzVector<ROOT::Math::PtEtaPhiM4D<float> >",
([op.c_float(0.),
op.c_float(0.),
op.c_float(0.),
op.c_float(0.)]))
#vis = op.multiSwitch((op.rng_len(jets) >= 4, bjets[0].p4+bjets[1].p4+wjets[0].p4+wjets[1].p4+lep.p4),
# (op.rng_len(jets) == 3, bjets[0].p4+bjets[1].p4+wjets[0].p4+lep.p4),
# op.construct("ROOT::Math::LorentzVector<ROOT::Math::PtEtaPhiM4D<float> >", (op.c_float(0.),
# op.c_float(0.),
# op.c_float(0.),
# op.c_float(0.))))
vis = op.rng_sum(
bjets, (lambda bj: bj.p4), start=self.blank_p4) + op.rng_sum(
wjets, (lambda wj: wj.p4), start=self.blank_p4) + lepconep4
vis_pt = vis.Pt()
vis_m = vis.M()
vis_et = op.sqrt(op.pow(vis_m, 2) + op.pow(vis_pt, 2))
met_et = met.p4.E()
return op.sqrt(
op.pow(vis_m, 2) + 2 *
(vis_et * met_et -
(vis.Px() * met.p4.Px() + vis.Py() * met.p4.Py())))
def plotJetReco(contName, cont, sel, partName):
plots = []
plots.append(
Plot.make1D(contName + "_deltaR",
op.map(cont, lambda m: op.deltaR(m.p4, m.genJet.p4)),
sel,
EquidistantBinning(100, 0., 0.2),
xTitle="#Delta R(%s_{gen},%s_{reco})" %
(partName, partName)))
plots.append(
Plot.make1D(
contName + "_deltaR2",
op.map(cont, lambda m: op.pow(op.deltaR(m.p4, m.genJet.p4), 2)),
sel,
EquidistantBinning(100, 0., 0.04),
xTitle="#Delta R^{2}(%s_{gen},%s_{reco})" % (partName, partName)))
plots.append(
Plot.make1D(
contName + "_deltaPtRel",
op.map(cont, lambda m: (m.pt - m.genJet.pt) / m.pt),
sel,
EquidistantBinning(100, -2., 2.),
xTitle="P_{T}(%s_{reco})-P_{T}(%s_{gen})/P_{T}(%s_{reco})" %
(partName, partName, partName)))
return plots
def findJPACategoryBoosted (self, selObj, lepton, muons, electrons, fatJets, jets, bJetsL, bJetsM, met, modelPathDict, event, HLL, nodeList, plot_yield=False):
JPAfuncDict = {'f1':evaluateJPA_Hbb2Wj,
'f2':evaluateJPA_Hbb1Wj}
JPAMaxScoreList = []
bestCombo_per_cat = []
combo2 = op.combine(jets, N=2, pred=lambda j1,j2 : j1.pt > j2.pt, samePred=lambda j1,j2 : j1.idx != j2.idx)
fakeCombo2 = op.combine(jets, N=2, pred=lambda j1,j2 : j1.pt >= j2.pt, samePred=None)
funckeys = [k for k in JPAfuncDict.keys()]
for idx, func in enumerate(funckeys):
node = nodeList[idx]
modelpaths = modelPathDict.get(node)
model = makeOddEvenEvaluator(event%2, modelpaths[1], modelpaths[0], mvaType="TMVA")
lambdaFunc = lambda jetCombo : JPAfuncDict[func](lepton, muons, electrons, fatJets, jetCombo, bJetsL, bJetsM, met, model, HLL)
if idx == 0:
best = op.rng_max_element_by(combo2, lambdaFunc)
maxScore = op.switch(best.idx != -1, best.idx.op.this.result.second, op.c_float(-1.))
else:
best = op.rng_max_element_by(fakeCombo2, lambdaFunc)
#best = op.rng_max_element_by(combo2, lambdaFunc)
maxScore = best.idx.op.this.result.second
#maxScore = op.switch(best.idx != -1, best.idx.op.this.result.second, op.c_float(-1.))
JPAMaxScoreList.append(op.pow((1.0 + op.sqrt((1 - maxScore)/(1 + maxScore))), -1))
#JPAMaxScoreList.append(maxScore)
bestCombo_per_cat.append(best)
evtCat = makeOddEvenEvaluator(event%2, modelPathDict.get('evCat')[1], modelPathDict.get('evCat')[0], mvaType="TMVA")
JPAL2outList = evtCat(*JPAMaxScoreList)
maxIdx = op.rng_max_element_index(JPAL2outList)
newSelObj = copy(selObj)
selObjJPAjetsIdxDict = {}
for i, node in enumerate(nodeList):
outSelObj = copy(newSelObj)
outSelObj.selName += '%s'%node
outSelObj.yieldTitle += " in %s node"%node
outSelObj.refine(cut = [maxIdx == op.c_int(i)])
#if plot_yield:
# outSelObj.makeYield(self.yieldPlots)
if i < 2:
selObjJPAjetsIdxDict[node] = [outSelObj, bestCombo_per_cat[i]]
else:
selObjJPAjetsIdxDict[node] = [outSelObj, None]
return JPAMaxScoreList, JPAL2outList, selObjJPAjetsIdxDict
def __init__(self, HHself):
# All the attributes of the BaseHH are contained in HHself object
# All the lambdas will be saved in the highlevelLambdas object to avoid confusions of all the attributes of HH base object
# 4-Momentum association #
self.ll_p4 = lambda l1, l2: l1.p4 + l2.p4
self.lljj_p4 = lambda l1, l2, j1, j2: l1.p4 + l2.p4 + j1.p4 + j2.p4
self.lep1j_p4 = lambda lep, j1: lep.p4 + j1.p4
self.lep2j_p4 = lambda lep, j1, j2: lep.p4 + j1.p4 + j2.p4
self.lep3j_p4 = lambda lep, j1, j2, j3: lep.p4 + j1.p4 + j2.p4 + j3.p4
self.lep4j_p4 = lambda lep, j1, j2, j3, j4: lep.p4 + j1.p4 + j2.p4 + j3.p4 + j4.p4
# bReg corr 4 momenta of ak4-bTagged jet #
self.bJetCorrP4 = lambda j: op._to.Construct(
"ROOT::Math::LorentzVector<ROOT::Math::PtEtaPhiM4D<float> >",
(j.pt * j.bRegCorr, j.eta, j.phi, j.mass)).result
# Dilep-Met variables #
self.DilepMET_deltaPhi = lambda l1, l2, met: self.ll_p4(l1, l2).Phi(
) - met.phi
self.DilepMET_Pt = lambda l1, l2, met: op.sqrt(
op.pow(met.pt * op.cos(met.phi) + self.ll_p4(l1, l2).Px(), 2) + op.
pow(met.pt * op.sin(met.phi) + self.ll_p4(l1, l2).Py(), 2))
# SingleLep-Met variables
self.SinglepMet_Pt = lambda lep, met: op.sqrt(
op.pow(met.pt * op.cos(met.phi) + lep.p4.Px(), 2) + op.pow(
met.pt * op.sin(met.phi) + lep.p4.Py(), 2))
self.SinglepMet_dPhi = lambda lep, met: lep.p4.Phi() - met.phi
# Transverse mass #
self.MT_ll = lambda l1, l2, met: op.sqrt(2 * self.ll_p4(l1, l2).Pt(
) * met.pt * (1 - op.cos(self.ll_p4(l1, l2).Phi() - met.phi)))
self.MT_lljj = lambda l1, l2, j1, j2, met: op.sqrt(
2 * self.lljj_p4(l1, l2, j1, j2).Pt() * met.pt *
(1 - op.cos(self.lljj_p4(l1, l2, j1, j2).Phi() - met.phi)))
self.MT = lambda lep, met: op.sqrt(2 * lep.p4.Pt() * met.pt * (
1 - op.cos(lep.p4.Phi() - met.phi)))
self.MT_W1W2_ljj = lambda lep, j1, j2, met: op.sqrt(
2 * self.lep2j_p4(lep, j1, j2).Pt() * met.pt *
(1 - op.cos(self.lep2j_p4(lep, j1, j2).Phi() - met.phi)))
self.MT_W1W2_lj = lambda lep, j1, met: op.sqrt(
2 * self.lep1j_p4(lep, j1).Pt() * met.pt *
(1 - op.cos(self.lep1j_p4(lep, j1).Phi() - met.phi)))
# TODO : clean different versions (eg MT)
# dilep + dijet #
self.M_lljj = lambda l1, l2, j1, j2: op.invariant_mass(
self.lljj_p4(l1, l2, j1, j2))
self.MinDR_lj = lambda l1, l2, j1, j2: op.min(
op.min(op.deltaR(l1.p4, j1.p4), op.deltaR(l1.p4, j2.p4)),
op.min(op.deltaR(l2.p4, j1.p4), op.deltaR(l2.p4, j2.p4)))
self.MinDR_lep3j = lambda lep, j1, j2, j3: op.min(
op.min(op.deltaR(lep.p4, j1.p4), op.deltaR(lep.p4, j2.p4)),
op.deltaR(lep.p4, j3.p4))
# Higgs related variables #
self.HT2 = lambda l1, l2, j1, j2, met: op.sqrt(
op.pow(met.pt * op.cos(met.phi) + l1.p4.Px() + l2.p4.Px(), 2) + op.
pow(met.pt * op.sin(met.phi) + l1.p4.Py() + l2.p4.Py(), 2
)) + op.abs((j1.p4 + j2.p4).Pt())
self.HT2R = lambda l1, l2, j1, j2, met: self.HT2(
met, l1, l2, j1, j2) / (met.pt + l1.p4.Pt() + l2.p4.Pt() + j1.p4.
Pt() + j2.p4.Pt())
self.HT2_l3jmet = lambda l, j1, j2, j3, met: op.sqrt(
op.pow(met.pt * op.cos(met.phi) + l.p4.Px(), 2) + op.pow(
met.pt * op.sin(met.phi) + l.p4.Py(), 2)) + op.abs(
(j1.p4 + j2.p4 + j3.p4).Pt())
self.HT2R_l3jmet = lambda l, j1, j2, j3, met: self.HT2_l3jmet(
met, l, j1, j2, j3) / (met.pt + l.p4.Pt() + j1.p4.Pt() + j2.p4.Pt(
) + j3.p4.Pt())
self.HT2_l4jmet = lambda l, j1, j2, j3, j4, met: op.sqrt(
op.pow(met.pt * op.cos(met.phi) + l.p4.Px(), 2) + op.pow(
met.pt * op.sin(met.phi) + l.p4.Py(), 2)) + op.abs(
(j1.p4 + j2.p4 + j3.p4 + j4.p4).Pt())
self.HT2R_l4jmet = lambda l, j1, j2, j3, j4, met: self.HT2_l4jmet(
met, l, j1, j2, j3, j4) / (met.pt + l.p4.Pt() + j1.p4.Pt() + j2.p4.
Pt() + j3.p4.Pt() + j4.p4.Pt())
#min j1j2DR
self.MinDiJetDRLoose = lambda j1, j2, j3: op.min(
op.min(op.deltaR(j1.p4, j2.p4), op.deltaR(j2.p4, j3.p4)),
op.deltaR(j1.p4, j3.p4))
# ------------------------------------ lambdas for BDT variables ------------------------------------ #
self.mindr_lep1_jet = lambda lep, jets: op.deltaR(
lep.p4,
op.sort(jets, lambda j: op.deltaR(lep.p4, j.p4))[0].p4)
self.HT = lambda jets: op.rng_sum(jets, lambda j: j.p4.Pt())
# mT2
self.ET = lambda lep: op.sqrt(
op.pow(lep.p4.M(), 2) + op.pow(lep.p4.Pt(), 2))
self.mT2 = lambda jet, lep, met: (
op.pow(jet.p4.M(), 2) + op.pow(lep.p4.M(), 2) + op.pow(
met.p4.M(), 2) + 2 *
(ET(lep) * ET(jet) -
(lep.p4.Px() * jet.p4.Px() + lep.p4.Py() * jet.p4.Py())) + 2 *
(ET(lep) * ET(met) -
(lep.p4.Px() * met.p4.Px() + lep.p4.Py() * met.p4.Py())) + 2 *
(ET(jet) * ET(met) -
(jet.p4.Px() * met.p4.Px() + jet.p4.Py() * met.p4.Py())))
# pZ component of met
# https://github.com/HEP-KBFI/hh-bbww/blob/f4ab60f81a920268a3f2187b97a58ec449b26883/src/comp_metP4_B2G_18_008.cc
# some necessary constants (visP4 = lepP4 + Wjj_simple)
# - - - - - used to compute neuP4 - - - - - #
_a = lambda visP4, met, mH: (op.pow(mH, 2) - op.pow(visP4.M(
), 2) + 2. * visP4.Px() * met.p4.Px() + 2. * visP4.Py() * met.p4.Py())
_A = lambda visP4: 4.0 * op.pow(visP4.E(), 2) - op.pow(visP4.Pz(), 2)
_B = lambda visP4, met, mH: -4.0 * _a(visP4, met, mH) * visP4.Pz()
_C = lambda visP4, met, mH: 4.0 * op.pow(visP4.E(), 2) * (op.pow(
met.p4.Px(), 2) + op.pow(met.p4.Py(), 2)) - op.pow(
_a(visP4, met, mH), 2)
_D = lambda visP4, met, mH: (op.pow(_B(visP4, met, mH), 2) - 4.0 * _A(
visP4) * _C(visP4, met, mH))
_pos = lambda visP4, met, mH: (-_B(visP4, met, mH) + op.sqrt(
_D(visP4, met, mH))) / (2. * _A(visP4))
_neg = lambda visP4, met, mH: (-_B(visP4, met, mH) - op.sqrt(
_D(visP4, met, mH))) / (2. * _A(visP4))
neuPz = lambda visP4, met, mH: (op.switch(
_D(visP4, met, mH) < 0., -_B(visP4, met, mH) / (2. * _A(visP4)),
op.switch(
op.abs(_pos(visP4, met, mH)) < op.abs(_neg(visP4, met, mH)),
_pos(visP4, met, mH), _neg(visP4, met, mH))))
# - - - - - - - - - - - - - - - - - - - - - #
neuP4 = lambda visP4, met, mH: op._to.Construct(
"ROOT::Math::LorentzVector<ROOT::Math::PxPyPzE4D<float> >",
(met.p4.Px(), met.p4.Py(), neuPz(visP4, met, mH),
op.sqrt(
op.pow(met.p4.Px(), 2) + op.pow(met.p4.Py(), 2) + op.pow(
neuPz(visP4, met, mH), 2)))).result
# P4 of W1 (l,neu)
self.Wlep_simple = lambda j1P4, j2P4, lepP4, met, mH: lepP4 + neuP4(
j1P4 + j2P4 + lepP4, met, mH)
# P4 of W2 (j,j)
self.Wjj_simple = lambda j1P4, j2P4: j1P4 + j2P4
# P4 of HWW (W1 + W2)
self.HWW_simple = lambda j1P4, j2P4, lepP4, met, mH: Wjj_simple(
j1P4, j2P4) + Wlep_simple(lepP4, neuP4(j1P4 + j2P4 + lepP4, met, mH
))
# dR_HWW
self.dR_Hww = lambda j1P4, j2P4, lepP4, met, mH: op.deltaR(
Wjj_simple(j1P4, j2P4), Wlep_simple(j1P4, j2P4, lepP4, met, mH))
# P4 of lep + met
self.Wlep_met_simple = lambda lepP4, metP4: lepP4 + metP4
# SimpleP4 of HWW (W1 + W2)
self.HWW_met_simple = lambda j1P4, j2P4, lepP4, metP4: Wjj_simple(
j1P4, j2P4) + Wlep_met_simple(lepP4, metP4)
# Total P4
self.HHP4_simple_met = lambda HbbRegP4, j1P4, j2P4, lepP4, metP4: HbbRegP4 + Wjj_simple(
j1P4, j2P4) + Wlep_met_simple(lepP4, metP4)
# CosThetaS calculation
#comp_cosThetaS = lambda ob1p4, ob2p4 : op.abs(ob1p4.Boost(-(ob1p4+ob2p4).BoostVector()).CosTheta())
motherPx = lambda ob1p4, ob2p4: (ob1p4.Px() + ob2p4.Px())
motherPy = lambda ob1p4, ob2p4: (ob1p4.Py() + ob2p4.Py())
motherPz = lambda ob1p4, ob2p4: (ob1p4.Pz() + ob2p4.Pz())
motherE = lambda ob1p4, ob2p4: (ob1p4.E() + ob2p4.E())
BoostP4 = lambda ob1p4, ob2p4: op._to.Construct(
"ROOT::Math::LorentzVector<ROOT::Math::PxPyPzE4D<float> >",
(motherPx(ob1p4, ob2p4), motherPy(ob1p4, ob2p4),
motherPz(ob1p4, ob2p4), motherE(ob1p4, ob2p4))).result
self.comp_cosThetaS = lambda ob1p4, ob2p4: op.abs(
op.cos(op.deltaR(BoostP4(ob1p4, ob2p4), ob1p4)))
# MET_LD
# Equation 3 (page 33) of AN-2019/111 v13
# Similar to MET, but more robust against pileup
jetSumPx = lambda jets: op.rng_sum(jets, lambda j: j.p4.Px())
jetSumPy = lambda jets: op.rng_sum(jets, lambda j: j.p4.Py())
lepSumPx = lambda leps: op.rng_sum(leps, lambda l: l.p4.Px())
lepSumPy = lambda leps: op.rng_sum(leps, lambda l: l.p4.Py())
self.MET_LD = lambda met, jets, leps: 0.6 * met.pt + 0.4 * op.sqrt(
op.pow(jetSumPx(jets) + lepSumPx(leps), 2) + op.pow(
jetSumPy(jets) + lepSumPy(leps), 2))
def findJPACategoryResolved (self, selObj, lepton, muons, electrons, jets, bJetsL, bJetsM, met, modelPathDict, event, HLL, nodeList, plot_yield=False):
JPAfuncDict = {'f1':evaluateJPA_2b2Wj,
'f2':evaluateJPA_2b1Wj,
'f3':evaluateJPA_1b2Wj,
'f4':evaluateJPA_2b0Wj,
'f5':evaluateJPA_1b1Wj,
'f6':evaluateJPA_1b0Wj}
JPAMaxScoreList = []
bestCombo_per_cat = []
combo2_1b0W_1Wj = op.combine(jets, N=2, samePred=lambda j1,j2 : j1.idx != j2.idx)
combo2_2b0Wj = op.combine(jets, N=2, pred=lambda j1,j2 : j1.pt > j2.pt, samePred=lambda j1,j2 : j1.idx != j2.idx)
combo3_1b2Wj = op.combine(jets, N=3, pred=lambda j1,j2,j3 : j2.pt > j3.pt, samePred=lambda j1,j2 : j1.idx != j2.idx)
combo3_2b1Wj = op.combine(jets, N=3, pred=lambda j1,j2,j3 : j1.pt > j2.pt, samePred=lambda j1,j2 : j1.idx != j2.idx)
combo4 = op.combine(jets, N=4, pred=lambda j1,j2,j3,j4 : op.AND(j1.pt > j2.pt, j3.pt > j4.pt), samePred=lambda j1,j2 : j1.idx != j2.idx)
funckeys = [k for k in JPAfuncDict.keys()]
for idx, func in enumerate(funckeys):
node = nodeList[idx]
modelpaths = modelPathDict.get(node)
model = makeOddEvenEvaluator(event%2, modelpaths[1], modelpaths[0], mvaType="TMVA")
lambdaFunc = lambda jetCombo : JPAfuncDict[func](lepton, muons, electrons, jets, jetCombo, bJetsL, bJetsM, met, model, HLL)
if idx == 0:
best = op.rng_max_element_by(combo4, lambdaFunc)
maxScore = op.switch(best.idx != -1, best.idx.op.this.result.second, op.c_float(-1.))
#best.idx.op.this.canDefine=False
elif idx == 1:
best = op.rng_max_element_by(combo3_2b1Wj, lambdaFunc) ## hack: index of best is first in a pair, with the maximum value as second
maxScore = best.idx.op.this.result.second
elif idx == 2:
best = op.rng_max_element_by(combo3_1b2Wj, lambdaFunc) ## hack: index of best is first in a pair, with the maximum value as second
maxScore = best.idx.op.this.result.second
elif idx == 3:
best = op.rng_max_element_by(combo2_2b0Wj, lambdaFunc) ## hack: index of best is first in a pair, with the maximum value as second
maxScore = best.idx.op.this.result.second
elif idx == 4:
best = op.rng_max_element_by(combo2_1b0W_1Wj, lambdaFunc) ## hack: index of best is first in a pair, with the maximum value as second
maxScore = best.idx.op.this.result.second
else:
best = op.rng_max_element_by(combo2_1b0W_1Wj, lambdaFunc) ## hack: index of best is first in a pair, with the maximum value as second
maxScore = best.idx.op.this.result.second
JPAMaxScoreList.append(op.pow((1.0 + op.sqrt((1 - maxScore)/(1 + maxScore))), -1))
#JPAMaxScoreList.append(maxScore)
bestCombo_per_cat.append(best)
evtCat = makeOddEvenEvaluator(event%2, modelPathDict.get('evCat')[1], modelPathDict.get('evCat')[0], mvaType="TMVA")
evtCatOutList = evtCat(*JPAMaxScoreList)
maxIdx = op.rng_max_element_index(evtCatOutList)
newSelObj = copy(selObj)
selObjJPAjetsIdxDict = {}
for i, node in enumerate(nodeList):
outSelObj = copy(newSelObj)
outSelObj.selName += '%s'%node
outSelObj.yieldTitle += " in %s node"%node
outSelObj.refine(cut = (maxIdx == i))
if i < 6:
selObjJPAjetsIdxDict[node] = [outSelObj, bestCombo_per_cat[i]]
else:
selObjJPAjetsIdxDict[node] = [outSelObj, None]
return JPAMaxScoreList, evtCatOutList, selObjJPAjetsIdxDict
def plotMatching(contName, list_cont, list_sel, partName):
plots = []
dr_plots = []
dr2_plots = []
ptrel_plots = []
TF_plots = []
for idx, (cont, sel) in enumerate(zip(list_cont, list_sel)):
dr_plots.append(
Plot.make1D(contName + str(idx) + "_deltaR",
op.map(cont, lambda m: op.deltaR(m[0].p4, m[1].p4)),
sel,
EquidistantBinning(100, 0., 0.2),
xTitle="#Delta R(%s_{gen},%s_{reco})" %
(partName, partName)))
dr2_plots.append(
Plot.make1D(contName + str(idx) + "_deltaR2",
op.map(
cont,
lambda m: op.pow(op.deltaR(m[0].p4, m[1].p4), 2)),
sel,
EquidistantBinning(100, 0., 0.04),
xTitle="#Delta R^{2}(%s_{gen},%s_{reco})" %
(partName, partName)))
ptrel_plots.append(
Plot.make1D(
contName + str(idx) + "_deltaPtRel",
op.map(cont, lambda m: (m[1].pt - m[0].pt) / m[1].pt),
sel,
EquidistantBinning(100, -2., 2.),
xTitle="P_{T}(%s_{reco})-P_{T}(%s_{gen})/P_{T}(%s_{reco})" %
(partName, partName, partName)))
TF_plots.append(
Plot.make2D(contName + str(idx) + "_TF",
(op.map(cont, lambda m: m[0].p4.E()),
op.map(cont, lambda m: m[1].p4.E() - m[0].p4.E())),
sel, [
EquidistantBinning(100, 0., 500.),
EquidistantBinning(400, -200., 200.)
],
xTitle="E^{parton}(e^{-})",
yTitle="#Delta E = E^{reco}(%s)-E^{parton}(%s)" %
(partName, partName)))
plots.append(
SummedPlot(contName + "_deltaR",
dr_plots,
xTitle="#Delta R(%s_{gen},%s_{reco})" %
(partName, partName)))
plots.append(
SummedPlot(contName + "_deltaR2",
dr2_plots,
xTitle="#Delta R^{2}(%s_{gen},%s_{reco})" %
(partName, partName)))
plots.append(
SummedPlot(contName + "_deltaPtRel",
ptrel_plots,
xTitle="P_{T}(%s_{reco})-P_{T}(%s_{gen}/P_{T}(%s_{reco})" %
(partName, partName, partName)))
plots.append(
SummedPlot(contName + "_TF",
TF_plots,
xTitle="#Delta E = E^{reco}(%s)-E^{patron}(%s)" %
(partName, partName)))
return plots
def __init__(self, HHself):
# All the attributes of the BaseHH are contained in HHself object
# All the lambdas will be saved in the highlevelLambdas object to avoid confusions of all the attributes of HH base object
# conept #
self.conept = lambda lep: op.switch(
op.abs(lep.pdgId) == 11, HHself.electron_conept[lep.idx], HHself.
muon_conept[lep.idx])
self.electron_conept = lambda ele: HHself.electron_conept[ele.idx]
self.muon_conept = lambda mu: HHself.muon_conept[mu.idx]
# 4-Momentum association #
self.ll_p4 = lambda l1, l2: l1.p4 + l2.p4
self.lljj_p4 = lambda l1, l2, j1, j2: l1.p4 + l2.p4 + j1.p4 + j2.p4
self.lep1j_p4 = lambda lep, j1: lep.p4 + j1.p4
self.lep2j_p4 = lambda lep, j1, j2: lep.p4 + j1.p4 + j2.p4
self.lep3j_p4 = lambda lep, j1, j2, j3: lep.p4 + j1.p4 + j2.p4 + j3.p4
self.lep4j_p4 = lambda lep, j1, j2, j3, j4: lep.p4 + j1.p4 + j2.p4 + j3.p4 + j4.p4
# bReg corr 4 momenta of ak4-bTagged jet #
self.bJetCorrP4 = lambda j: op._to.Construct(
"ROOT::Math::LorentzVector<ROOT::Math::PtEtaPhiM4D<float> >",
(j.pt * j.bRegCorr, j.eta, j.phi, j.mass * j.bRegCorr)).result
# Dilep-Met variables #
self.DilepMET_deltaPhi = lambda l1, l2, met: self.ll_p4(l1, l2).Phi(
) - met.phi
self.DilepMET_Pt = lambda l1, l2, met: op.sqrt(
op.pow(met.pt * op.cos(met.phi) + self.ll_p4(l1, l2).Px(), 2) + op.
pow(met.pt * op.sin(met.phi) + self.ll_p4(l1, l2).Py(), 2))
# SingleLep-Met variables
#self.SinglepMet_Pt = lambda lep,met : op.sqrt(op.pow(met.pt*op.cos(met.phi)+lep.p4.Px(),2)+op.pow(met.pt*op.sin(met.phi)+lep.p4.Py(),2))
self.SinglepMet_Pt = lambda lep, met: (lep.p4 + met.p4).Pt()
#self.SinglepMet_dPhi = lambda lep, met : lep.p4.Phi()-met.phi
self.SinglepMet_dPhi = lambda lep, met: op.deltaPhi(lep.p4, met.p4)
# Transverse mass #
self.MT_ll = lambda l1, l2, met: op.sqrt(2 * self.ll_p4(l1, l2).Pt(
) * met.pt * (1 - op.cos(self.ll_p4(l1, l2).Phi() - met.phi)))
self.MT_lljj = lambda l1, l2, j1, j2, met: op.sqrt(
2 * self.lljj_p4(l1, l2, j1, j2).Pt() * met.pt *
(1 - op.cos(self.lljj_p4(l1, l2, j1, j2).Phi() - met.phi)))
self.MT = lambda lep, met: op.sqrt(2 * lep.p4.Pt() * met.pt * (
1 - op.cos(lep.p4.Phi() - met.phi)))
self.MT_W1W2_ljj = lambda lep, j1, j2, met: op.sqrt(
2 * self.lep2j_p4(lep, j1, j2).Pt() * met.pt *
(1 - op.cos(self.lep2j_p4(lep, j1, j2).Phi() - met.phi)))
self.MT_W1W2_lj = lambda lep, j1, met: op.sqrt(
2 * self.lep1j_p4(lep, j1).Pt() * met.pt *
(1 - op.cos(self.lep1j_p4(lep, j1).Phi() - met.phi)))
# TODO : clean different versions (eg MT)
# dilep + dijet #
self.M_lljj = lambda l1, l2, j1, j2: op.invariant_mass(
self.lljj_p4(l1, l2, j1, j2))
self.M_HH = lambda l1, l2, j1, j2, met: op.invariant_mass(
l1.p4, l2.p4, j1.p4, j2.p4, met.p4)
self.MinDR_lj = lambda l1, l2, j1, j2: op.min(
op.min(op.deltaR(l1.p4, j1.p4), op.deltaR(l1.p4, j2.p4)),
op.min(op.deltaR(l2.p4, j1.p4), op.deltaR(l2.p4, j2.p4)))
self.MinDR_part1_partCont = lambda part1, partCont: op.rng_min(
partCont, lambda part2: op.deltaR(part1.p4, part2.p4))
self.MinDEta_part1_partCont = lambda part1, partCont: op.rng_min(
partCont, lambda part2: op.abs(part1.eta - part2.eta))
self.MinDPhi_part1_partCont = lambda part1, partCont: op.rng_min(
partCont, lambda part2: op.abs(op.deltaPhi(part1.p4, part2.p4)))
self.MinDR_part1_dipart = lambda part1, dipart: op.min(*(
op.deltaR(part1.p4, dipart[i2].p4) for i2 in range(2)))
self.JetsMinDR = lambda l, j1, j2: op.min(op.deltaR(l.p4, j1.p4),
op.deltaR(l.p4, j2.p4))
self.LepsMinDR = lambda j, l1, l2: op.min(op.deltaR(j.p4, l1.p4),
op.deltaR(j.p4, l2.p4))
self.MinDR_lep3j = lambda lep, j1, j2, j3: op.min(
op.min(op.deltaR(lep.p4, j1.p4), op.deltaR(lep.p4, j2.p4)),
op.deltaR(lep.p4, j3.p4))
self.MinDR_lj = lambda l1, l2, j1, j2: op.min(
op.min(op.deltaR(l1.p4, j1.p4), op.deltaR(l1.p4, j2.p4)),
op.min(op.deltaR(l2.p4, j1.p4), op.deltaR(l2.p4, j2.p4)))
self.MinDR_lep2j = lambda lep, j1, j2: op.min(op.deltaR(lep.p4, j1.p4),
op.deltaR(lep.p4, j2.p4))
self.MinDR_lep3j = lambda lep, j1, j2, j3: op.min(
op.min(op.deltaR(lep.p4, j1.p4), op.deltaR(lep.p4, j2.p4)),
op.deltaR(lep.p4, j3.p4))
self.MinDR_lep4j = lambda lep, j1, j2, j3, j4: op.min(
op.min(op.min(op.deltaR(lep.p4, j1.p4), op.deltaR(lep.p4, j2.p4)),
op.deltaR(lep.p4, j3.p4)), op.deltaR(lep.p4, j4.p4))
self.MinDPhi_lep2j = lambda lep, j1, j2: op.min(
op.abs(op.deltaPhi(lep.p4, j1.p4)),
op.abs(op.deltaPhi(lep.p4, j2.p4)))
self.MinDPhi_lep3j = lambda lep, j1, j2, j3: op.min(
op.min(op.abs(op.deltaPhi(lep.p4, j1.p4)),
op.abs(op.deltaPhi(lep.p4, j2.p4))),
op.abs(op.deltaPhi(lep.p4, j3.p4)))
self.MinDPhi_lep4j = lambda lep, j1, j2, j3, j4: op.min(
op.min(
op.min(op.abs(op.deltaPhi(lep.p4, j1.p4)),
op.abs(op.deltaPhi(lep.p4, j2.p4))),
op.abs(op.deltaPhi(lep.p4, j3.p4))),
op.abs(op.deltaPhi(lep.p4, j4.p4)))
self.MinDEta_lep2j = lambda lep, j1, j2: op.min(
op.abs(lep.eta - j1.eta), op.abs(lep.eta - j2.eta))
self.MinDEta_lep3j = lambda lep, j1, j2, j3: op.min(
op.min(op.abs(lep.eta - j1.eta), op.abs(lep.eta - j2.eta)),
op.abs(lep.eta - j3.eta))
self.MinDEta_lep4j = lambda lep, j1, j2, j3, j4: op.min(
op.min(op.min(op.abs(lep.eta - j1.eta), op.abs(lep.eta - j2.eta)),
op.abs(lep.eta - j3.eta)), op.abs(lep.eta - j4.eta))
self.MaxDR_lep2j = lambda lep, j1, j2: op.max(op.deltaR(lep.p4, j1.p4),
op.deltaR(lep.p4, j2.p4))
self.MaxDR_lep3j = lambda lep, j1, j2, j3: op.max(
op.max(op.deltaR(lep.p4, j1.p4), op.deltaR(lep.p4, j2.p4)),
op.deltaR(lep.p4, j3.p4))
self.MaxDR_lep4j = lambda lep, j1, j2, j3, j4: op.max(
op.max(op.max(op.deltaR(lep.p4, j1.p4), op.deltaR(lep.p4, j2.p4)),
op.deltaR(lep.p4, j3.p4)), op.deltaR(lep.p4, j4.p4))
self.MaxDPhi_lep2j = lambda lep, j1, j2: op.max(
op.abs(op.deltaPhi(lep.p4, j1.p4)),
op.abs(op.deltaPhi(lep.p4, j2.p4)))
self.MaxDPhi_lep3j = lambda lep, j1, j2, j3: op.max(
op.max(op.abs(op.deltaPhi(lep.p4, j1.p4)),
op.abs(op.deltaPhi(lep.p4, j2.p4))),
op.abs(op.deltaPhi(lep.p4, j3.p4)))
self.MaxDPhi_lep4j = lambda lep, j1, j2, j3, j4: op.max(
op.max(
op.max(op.abs(op.deltaPhi(lep.p4, j1.p4)),
op.abs(op.deltaPhi(lep.p4, j2.p4))),
op.abs(op.deltaPhi(lep.p4, j3.p4))),
op.abs(op.deltaPhi(lep.p4, j4.p4)))
self.MaxDEta_lep2j = lambda lep, j1, j2: op.max(
op.abs(lep.eta - j1.eta), op.abs(lep.eta - j2.eta))
self.MaxDEta_lep3j = lambda lep, j1, j2, j3: op.max(
op.max(op.abs(lep.eta - j1.eta), op.abs(lep.eta - j2.eta)),
op.abs(lep.eta - j3.eta))
self.MaxDEta_lep4j = lambda lep, j1, j2, j3, j4: op.max(
op.max(op.max(op.abs(lep.eta - j1.eta), op.abs(lep.eta - j2.eta)),
op.abs(lep.eta - j3.eta)), op.abs(lep.eta - j4.eta))
# Higgs related variables #
#self.HT2 = lambda l1,l2,j1,j2,met : op.sqrt(op.pow(met.pt*op.cos(met.phi)+l1.p4.Px()+l2.p4.Px(),2)+op.pow(met.pt*op.sin(met.phi)+l1.p4.Py()+l2.p4.Py(),2)) + op.abs((j1.p4+j2.p4).Pt())
#self.HT2R = lambda l1,l2,j1,j2,met : self.HT2(met,l1,l2,j1,j2)/(met.pt+l1.p4.Pt()+l2.p4.Pt()+j1.p4.Pt()+j2.p4.Pt())
#self.HT2_l1jmet = lambda l,j1,met : op.sqrt(op.pow(met.pt*op.cos(met.phi)+l.p4.Px(),2)+op.pow(met.pt*op.sin(met.phi)+l.p4.Py(),2)) + op.abs(j1.p4.Pt())
#self.HT2R_l1jmet = lambda l,j1,met : self.HT2_l1jmet(l,j1,met)/(met.pt+l.p4.Pt()+j1.p4.Pt())
#self.HT2_l2jmet = lambda l,j1,j2,met : op.sqrt(op.pow(met.pt*op.cos(met.phi)+l.p4.Px(),2)+op.pow(met.pt*op.sin(met.phi)+l.p4.Py(),2)) + op.abs((j1.p4+j2.p4).Pt())
#self.HT2R_l2jmet = lambda l,j1,j2,met : self.HT2_l2jmet(l,j1,j2,met)/(met.pt+l.p4.Pt()+j1.p4.Pt()+j2.p4.Pt())
#self.HT2_l3jmet = lambda l,j1,j2,j3,met : op.sqrt(op.pow(met.pt*op.cos(met.phi)+l.p4.Px(),2)+op.pow(met.pt*op.sin(met.phi)+l.p4.Py(),2)) + op.abs((j1.p4+j2.p4+j3.p4).Pt())
self.HT_SL = lambda jets: op.rng_sum(jets, lambda j: j.pt)
# 0b
self.HT2_0b = lambda l, met: op.abs((met.p4 + l.p4).Pt())
self.HT2R_0b = lambda l, met: self.HT2_0b(l, met) / (met.pt + l.pt)
# 1b0Wj
self.HT2_1b0Wj = lambda l, j1, met: op.abs(
(met.p4 + l.p4).Pt()) + j1.pt
self.HT2R_1b0Wj = lambda l, j1, met: self.HT2_1b0Wj(l, j1, met) / (
met.pt + l.pt + j1.pt)
# 1b1Wj
self.HT2_1b1Wj = lambda l, j1, j3, met: op.abs(
(met.p4 + l.p4 + j3.p4).Pt()) + j1.pt
self.HT2R_1b1Wj = lambda l, j1, j3, met: self.HT2_1b1Wj(
l, j1, j3, met) / (met.pt + l.pt + j1.pt + j3.pt)
#2b0Wj
self.HT2_2b0Wj = lambda l, j1, j2, met: op.abs(
(met.p4 + l.p4).Pt()) + op.abs((j1.p4 + j2.p4).Pt())
self.HT2R_2b0Wj = lambda l, j1, j2, met: self.HT2_2b0Wj(
l, j1, j2, met) / (met.pt + l.pt + j1.pt + j2.pt)
# 1b2Wj
self.HT2_1b2Wj = lambda l, j1, j3, j4, met: op.abs(
(met.p4 + l.p4 + j3.p4 + j4.p4).Pt()) + j1.pt
self.HT2R_1b2Wj = lambda l, j1, j3, j4, met: self.HT2_1b2Wj(
l, j1, j3, j4, met) / (met.pt + l.pt + j1.pt + j3.pt + j4.pt)
# 2b1Wj
self.HT2_2b1Wj = lambda l, j1, j2, j3, met: op.abs(
(met.p4 + l.p4 + j3.p4).Pt()) + op.abs((j1.p4 + j2.p4).Pt())
self.HT2R_2b1Wj = lambda l, j1, j2, j3, met: self.HT2_2b1Wj(
l, j1, j2, j3, met) / (met.pt + l.pt + j1.pt + j2.pt + j3.pt)
#self.HT2_l4jmet = lambda l,j1,j2,j3,j4,met : op.sqrt(op.pow(met.pt*op.cos(met.phi)+l.p4.Px(),2)+op.pow(met.pt*op.sin(met.phi)+l.p4.Py(),2)) + op.abs((j1.p4+j2.p4+j3.p4+j4.p4).Pt())
# 2b2Wj
self.HT2_2b2Wj = lambda l, j1, j2, j3, j4, met: op.abs(
(met.p4 + l.p4 + j3.p4 + j4.p4).Pt()) + op.abs(
(j1.p4 + j2.p4).Pt())
self.HT2R_2b2Wj = lambda l, j1, j2, j3, j4, met: self.HT2_2b2Wj(
l, j1, j2, j3, j4, met) / (met.pt + l.pt + j1.pt + j2.pt + j3.pt +
j4.pt)
#min j1j2DR
self.MinDiJetDRLoose = lambda j1, j2, j3: op.min(
op.min(op.deltaR(j1.p4, j2.p4), op.deltaR(j2.p4, j3.p4)),
op.deltaR(j1.p4, j3.p4))
self.MinDiJetDRTight = lambda j1, j2, j3, j4: op.min(
op.min(
op.min(self.MinDiJetDRLoose(j1, j2, j3), op.deltaR(
j1.p4, j4.p4)), op.deltaR(j2.p4, j4.p4)),
op.deltaR(j3.p4, j4.p4))
self.MinDiJetDEtaLoose = lambda j1, j2, j3: op.min(
op.min(op.abs(j1.eta - j2.eta), op.abs(j2.eta - j3.eta)),
op.abs(j1.eta - j3.eta))
self.MinDiJetDEtaTight = lambda j1, j2, j3, j4: op.min(
op.min(
op.min(self.MinDiJetDEtaLoose(j1, j2, j3),
op.abs(j1.eta - j4.eta)), op.abs(j2.eta - j4.eta)),
op.abs(j3.eta - j4.eta))
self.MinDiJetDPhiLoose = lambda j1, j2, j3: op.min(
op.min(op.abs(op.deltaPhi(j1.p4, j2.p4)),
op.abs(op.deltaPhi(j2.p4, j3.p4))),
op.abs(op.deltaPhi(j1.p4, j3.p4)))
self.MinDiJetDPhiTight = lambda j1, j2, j3, j4: op.min(
op.min(
op.min(self.MinDiJetDPhiLoose(j1, j2, j3),
op.abs(op.deltaPhi(j1.p4, j4.p4))),
op.abs(op.deltaPhi(j2.p4, j4.p4))),
op.abs(op.deltaPhi(j3.p4, j4.p4)))
self.MaxDiJetDRLoose = lambda j1, j2, j3: op.max(
op.max(op.deltaR(j1.p4, j2.p4), op.deltaR(j2.p4, j3.p4)),
op.deltaR(j1.p4, j3.p4))
self.MaxDiJetDRTight = lambda j1, j2, j3, j4: op.max(
op.max(
op.max(self.MaxDiJetDRLoose(j1, j2, j3), op.deltaR(
j1.p4, j4.p4)), op.deltaR(j2.p4, j4.p4)),
op.deltaR(j3.p4, j4.p4))
self.MaxDiJetDEtaLoose = lambda j1, j2, j3: op.max(
op.max(op.abs(j1.eta - j2.eta), op.abs(j2.eta - j3.eta)),
op.abs(j1.eta - j3.eta))
self.MaxDiJetDEtaTight = lambda j1, j2, j3, j4: op.max(
op.max(
op.max(self.MaxDiJetDEtaLoose(j1, j2, j3),
op.abs(j1.eta - j4.eta)), op.abs(j2.eta - j4.eta)),
op.abs(j3.eta - j4.eta))
self.MaxDiJetDPhiLoose = lambda j1, j2, j3: op.max(
op.max(op.abs(op.deltaPhi(j1.p4, j2.p4)),
op.abs(op.deltaPhi(j2.p4, j3.p4))),
op.abs(op.deltaPhi(j1.p4, j3.p4)))
self.MaxDiJetDPhiTight = lambda j1, j2, j3, j4: op.max(
op.max(
op.max(self.MaxDiJetDPhiLoose(j1, j2, j3),
op.abs(op.deltaPhi(j1.p4, j4.p4))),
op.abs(op.deltaPhi(j2.p4, j4.p4))),
op.abs(op.deltaPhi(j3.p4, j4.p4)))
# ------------------------------------ lambdas for BDT variables ------------------------------------ #
# min jet-lep DR
self.mindr_lep1_jet = lambda lep, jets: op.deltaR(
lep.p4,
op.sort(jets, lambda j: op.deltaR(lep.p4, j.p4))[0].p4)
# HT
self.HTfull = lambda fleps, j1p4, j2p4, j3p4, j4p4: j1p4.Pt(
) + j2p4.Pt() + j3p4.Pt() + j4p4.Pt() + op.rng_sum(
fleps, lambda l: l.p4.Pt())
self.HTmiss = lambda fleps, j1p4, j2p4, j3p4: j1p4.Pt() + j2p4.Pt(
) + j3p4.Pt() + op.rng_sum(fleps, lambda l: l.p4.Pt())
# mT2
ET = lambda lepp4: op.sqrt(
op.pow(lepp4.M(), 2) + op.pow(lepp4.Pt(), 2))
self.mT2 = lambda jetp4, lepp4, metp4: (
op.pow(jetp4.M(), 2) + op.pow(lepp4.M(), 2) + op.pow(metp4.M(), 2)
+ 2 * (ET(lepp4) * ET(jetp4) -
(lepp4.Px() * jetp4.Px() + lepp4.Py() * jetp4.Py())) + 2 *
(ET(lepp4) * ET(metp4) -
(lepp4.Px() * metp4.Px() + lepp4.Py() * metp4.Py())) + 2 *
(ET(jetp4) * ET(metp4) -
(jetp4.Px() * metp4.Px() + jetp4.Py() * metp4.Py())))
# pZ component of met
# https://github.com/HEP-KBFI/hh-bbww/blob/f4ab60f81a920268a3f2187b97a58ec449b26883/src/comp_metP4_B2G_18_008.cc
# some necessary constants (visP4 = lepP4 + Wjj_simple)
# - - - - - used to compute neuP4 - - - - - #
ax = lambda visP4, met: 125.18 * 125.18 - op.pow(visP4.M(
), 2) + 2. * visP4.Px() * met.p4.Px() + 2. * visP4.Py() * met.p4.Py()
A = lambda visP4: 4.0 * op.pow(visP4.E(), 2) - op.pow(visP4.Pz(), 2)
B = lambda visP4, met: -4.0 * ax(visP4, met) * visP4.Pz()
C = lambda visP4, met: 4.0 * op.pow(visP4.E(), 2) * (op.pow(
met.p4.Px(), 2) + op.pow(met.p4.Py(), 2)) - op.pow(
ax(visP4, met), 2)
D = lambda visP4, met: (op.pow(B(visP4, met), 2) - 4.0 * A(visP4) * C(
visP4, met))
pos = lambda visP4, met: (-B(visP4, met) + op.sqrt(D(visP4, met))) / (
2. * A(visP4))
neg = lambda visP4, met: (-B(visP4, met) - op.sqrt(D(visP4, met))) / (
2. * A(visP4))
neuPz = lambda visP4, met: (op.switch(
D(visP4, met) < 0., -B(visP4, met) / (2 * A(visP4)),
op.switch(
op.abs(pos(visP4, met)) < op.abs(neg(visP4, met)),
pos(visP4, met), neg(visP4, met))))
# - - - - - - - - - - - - - - - - - - - - - #
self.neuP4 = lambda visP4, met: op._to.Construct(
"ROOT::Math::LorentzVector<ROOT::Math::PxPyPzE4D<float> >",
(met.p4.Px(), met.p4.Py(), neuPz(visP4, met),
op.sqrt(
op.pow(met.p4.Px(), 2) + op.pow(met.p4.Py(), 2) + op.pow(
neuPz(visP4, met), 2)))).result
# P4 of W1 (l,neu)
self.Wlep_simple = lambda wj1P4, wj2P4, lepP4, met: lepP4 + self.neuP4(
wj1P4 + wj2P4 + lepP4, met)
# P4 of W2 (j,j)
self.Wjj_simple = lambda j1P4, j2P4: j1P4 + j2P4
# DR_HadW_bJet
self.dR_HadW_bjet = lambda bP4, j1P4, j2P4: op.deltaR(
self.Wjj_simple(j1P4, j2P4), bP4)
# P4 of HWW (W1 + W2)
self.HWW_simple = lambda wj1P4, wj2P4, lepP4, met: self.Wjj_simple(
wj1P4, wj2P4) + self.Wlep_simple(wj1P4, wj2P4, lepP4, met)
# dR_HWW
self.dR_Hww = lambda j1P4, j2P4, lepP4, met: op.deltaR(
self.Wjj_simple(j1P4, j2P4),
self.Wlep_simple(j1P4, j2P4, lepP4, met))
self.dEta_Hww = lambda j1P4, j2P4, lepP4, met: op.abs(
self.Wjj_simple(j1P4, j2P4).Eta() - self.Wlep_simple(
j1P4, j2P4, lepP4, met).Eta())
self.dPhi_Hww = lambda j1P4, j2P4, lepP4, met: op.abs(
op.deltaPhi(self.Wjj_simple(j1P4, j2P4),
self.Wlep_simple(j1P4, j2P4, lepP4, met)))
# P4 of lep + met
self.Wlep_met_simple = lambda lepP4, metP4: lepP4 + metP4
# SimpleP4 of HWW (W1 + W2)
self.HWW_met_simple = lambda j1P4, j2P4, lepP4, metP4: self.Wjj_simple(
j1P4, j2P4) + self.Wlep_met_simple(lepP4, metP4)
# Total P4
self.HHP4_simple_met = lambda HbbRegP4, j1P4, j2P4, lepP4, metP4: HbbRegP4 + self.Wjj_simple(
j1P4, j2P4) + self.Wlep_met_simple(lepP4, metP4)
# CosThetaS calculation
#comp_cosThetaS = lambda ob1p4, ob2p4 : op.abs(ob1p4.Boost(-(ob1p4+ob2p4).BoostVector()).CosTheta())
motherPx = lambda ob1p4, ob2p4: (ob1p4.Px() + ob2p4.Px())
motherPy = lambda ob1p4, ob2p4: (ob1p4.Py() + ob2p4.Py())
motherPz = lambda ob1p4, ob2p4: (ob1p4.Pz() + ob2p4.Pz())
motherE = lambda ob1p4, ob2p4: (ob1p4.E() + ob2p4.E())
betaX = lambda ob1p4, ob2p4: motherPx(ob1p4, ob2p4) / motherE(
ob1p4, ob2p4)
betaY = lambda ob1p4, ob2p4: motherPy(ob1p4, ob2p4) / motherE(
ob1p4, ob2p4)
betaZ = lambda ob1p4, ob2p4: motherPz(ob1p4, ob2p4) / motherE(
ob1p4, ob2p4)
beta2 = lambda ob1p4, ob2p4: op.pow(betaX(ob1p4, ob2p4), 2) + op.pow(
betaY(ob1p4, ob2p4), 2) + op.pow(betaZ(ob1p4, ob2p4), 2)
gamma = lambda ob1p4, ob2p4: 1.0 / op.sqrt(1 - beta2(ob1p4, ob2p4))
betap = lambda ob1p4, ob2p4: betaX(ob1p4, ob2p4) * motherPx(
ob1p4, ob2p4) + betaY(ob1p4, ob2p4) * motherPy(
ob1p4, ob2p4) + betaZ(ob1p4, ob2p4) * motherPz(ob1p4, ob2p4)
gamma2 = lambda ob1p4, ob2p4: op.switch(
beta2(ob1p4, ob2p4) > 0,
(gamma(ob1p4, ob2p4) - 1) / beta2(ob1p4, ob2p4), op.c_float(0.0))
boostPx = lambda ob1p4, ob2p4: ob1p4.Px() + gamma2(
ob1p4, ob2p4) * betap(ob1p4, ob2p4) * betaX(ob1p4, ob2p4) + gamma(
ob1p4, ob2p4) * betaX(ob1p4, ob2p4) * ob1p4.E()
boostPy = lambda ob1p4, ob2p4: ob1p4.Px() + gamma2(
ob1p4, ob2p4) * betap(ob1p4, ob2p4) * betaY(ob1p4, ob2p4) + gamma(
ob1p4, ob2p4) * betaY(ob1p4, ob2p4) * ob1p4.E()
boostPz = lambda ob1p4, ob2p4: ob1p4.Pz() + gamma2(
ob1p4, ob2p4) * betap(ob1p4, ob2p4) * betaZ(ob1p4, ob2p4) + gamma(
ob1p4, ob2p4) * betaZ(ob1p4, ob2p4) * ob1p4.E()
boostP = lambda ob1p4, ob2p4: op.sqrt(
op.pow(boostPx(ob1p4, ob2p4), 2) + op.pow(boostPy(ob1p4, ob2p4), 2)
+ op.pow(boostPz(ob1p4, ob2p4), 2))
self.comp_cosThetaS = lambda ob1p4, ob2p4: op.abs(
boostPz(ob1p4, ob2p4) / boostP(ob1p4, ob2p4))
#BoostP3 = lambda ob1p4,ob2p4 : op._to.Construct("ROOT::Math::TVector<ROOT::Math::PxPyPz3D<float>>",(-motherPx(ob1p4,ob2p4), -motherPy(ob1p4,ob2p4), -motherPz(ob1p4,ob2p4))).result
#boost = lambda ob1p4,ob2p4 : op.construct("ROOT::Math::Boost", (-motherPx(ob1p4,ob2p4)/motherE(ob1p4,ob2p4),
# -motherPy(ob1p4,ob2p4)/motherE(ob1p4,ob2p4),
# -motherPz(ob1p4,ob2p4)/motherE(ob1p4,ob2p4)))
#self.comp_cosThetaS = lambda ob1p4,ob2p4 : op.abs(boost(ob1p4,ob2p4)(ob1p4).CosTheta())
#p4_boosted = lambda ob1p4,ob2p4 : op.extMethod("ROOT::Math::Boost{-motherPx(ob1p4,ob2p4)/motherE(ob1p4,ob2p4), -motherPy(ob1p4,ob2p4)/motherE(ob1p4,ob2p4), -motherPz(ob1p4,ob2p4)/motherE(ob1p4,ob2p4)}", returnType=(ob1p4+ob2p4)._typeName)(ob1p4+ob2p4)
#self.comp_cosThetaS = lambda ob1p4,ob2p4 : op.deltaR(ob1p4, p4_boosted(ob1p4,ob2p4))
#boost = lambda ob1p4, ob2p4: op.construct("ROOT::Math::Boost", (-betaX(ob1p4, ob2p4), -betaY(ob1p4, ob2p4), -betaZ(ob1p4, ob2p4)))
#boostP4 = lambda ob1p4,ob2p4 : boost(ob1p4,ob2p4)(ob1p4)
#self.comp_cosThetaS = lambda ob1p4,ob2p4 : op.abs(boostP4(ob1p4,ob2p4).Pz()/op.sqrt(op.pow(boostP4(ob1p4,ob2p4).Px(),2) + op.pow(boostP4(ob1p4,ob2p4).Py(),2) + op.pow(boostP4(ob1p4,ob2p4).Pz(),2)))
# MET_LD
# Equation 3 (page 33) of AN-2019/111 v13
# Similar to MET, but more robust against pileup
jetSumPx = lambda jets: op.rng_sum(jets, lambda j: j.p4.Px())
jetSumPy = lambda jets: op.rng_sum(jets, lambda j: j.p4.Py())
#lepSumPx = lambda leps : op.rng_sum(leps, lambda l : l.p4.Px())
#lepSumPy = lambda leps : op.rng_sum(leps, lambda l : l.p4.Py())
lepSumPx = lambda mus, els: op.rng_sum(mus, lambda l: l.p4.Px(
)) + op.rng_sum(els, lambda l: l.p4.Px())
lepSumPy = lambda mus, els: op.rng_sum(mus, lambda l: l.p4.Py(
)) + op.rng_sum(els, lambda l: l.p4.Py())
self.MET_LD = lambda met, jets, mus, els: 0.6 * met.pt + 0.4 * op.sqrt(
op.pow(jetSumPx(jets) + lepSumPx(mus, els), 2) + op.pow(
jetSumPy(jets) + lepSumPy(mus, els), 2))
empty_p4 = op.construct(
"ROOT::Math::LorentzVector<ROOT::Math::PtEtaPhiM4D<float> >",
([op.c_float(0.),
op.c_float(0.),
op.c_float(0.),
op.c_float(0.)]))
self.MET_LD_DL = lambda met, jets, electrons, muons : 0.6 * met.pt +\
0.4* (op.rng_sum(jets, (lambda j : j.p4), start=empty_p4) + op.rng_sum(electrons, (lambda e : e.p4), start=empty_p4) + op.rng_sum(muons, (lambda m : m.p4), start=empty_p4)).Pt()
# conept
self.lambdaConePt = lambda lep: op.switch(
op.abs(lep.pdgId) == 13, HHself.muon_conept[lep.idx], HHself.
electron_conept[lep.idx])
# angle between 2 planes
aDotB = lambda a, b: a.Px() * b.Px() + a.Py() * b.Py() + a.Pz() * b.Pz(
)
aMagB = lambda a, b: (op.sqrt(
op.pow(a.Px(), 2) + op.pow(a.Py(), 2) + op.pow(a.Pz(), 2))) * (
op.sqrt(
op.pow(b.Px(), 2) + op.pow(b.Py(), 2) + op.pow(b.Pz(), 2)))
self.angleWWplane = lambda lp4, met, j3p4, j4p4: op.acos(
aDotB(j3p4 + j4p4,
self.neuP4(j3p4 + j4p4 + lp4, met) + lp4) / aMagB(
j3p4 + j4p4,
self.neuP4(j3p4 + j4p4 + lp4, met) + lp4))
#self.angleWWplane = lambda lp4, met, j3p4, j4p4 : ((j3p4+j4p4).Vect().Unit()).Angle((self.neuP4(j3p4+j4p4+lp4, met)+lp4).Vect().Unit())
self.angleBetPlanes = lambda j1p4, j2p4, j3p4, j4p4: op.acos(
op.c_float(
aDotB(j1p4 + j2p4, j3p4 + j4p4) / aMagB(
j1p4 + j2p4, j3p4 + j4p4)))
self.empty_p4 = op.construct(
"ROOT::Math::LorentzVector<ROOT::Math::PtEtaPhiM4D<float> >",
([op.c_float(0.),
op.c_float(0.),
op.c_float(0.),
op.c_float(0.)]))
self.MET_LD_DL = lambda met, jets, electrons, muons : 0.6 * met.pt +\
0.4* (op.rng_sum(jets, (lambda j : j.p4), start=self.empty_p4) + op.rng_sum(electrons, (lambda e : e.p4), start=self.empty_p4) + op.rng_sum(muons, (lambda m : m.p4), start=self.empty_p4)).Pt()
self.isBoosted = op.AND(
op.rng_len(HHself.ak8BJets) >= 1,
op.rng_len(HHself.ak4JetsCleanedFromAk8b) >= 1)
#self.isBoosted = op.rng_len(HHself.ak8BJets) >= 1
self.isResolved = op.AND(
op.rng_len(HHself.ak4Jets) >= 3,
op.rng_len(HHself.ak4BJets) >= 1,
op.rng_len(HHself.ak8BJets) == 0)
#self.has1Wj = op.rng_len(HHself.probableWJets) == 1
#self.has2Wj = op.rng_len(HHself.wJetsPairs) >= 1
#self.isFullReco = op.AND(op.rng_len(HHself.bJetsByScore) >= 2, op.rng_len(HHself.wJetsPairs) >= 1)
#self.isMissReco = op.AND(op.rng_len(HHself.bJetsByScore) >= 2, op.rng_len(HHself.probableWJets) == 1)
#self.comp_m_hh_bregcorr = lambda bjets, wjets, lep, met : (op.rng_sum(bjets, (lambda bj : self.bJetCorrP4(bj)), start=empty_p4) +
# op.rng_sum(wjets, (lambda wj : self.bJetCorrP4(wj)), start=empty_p4) +
# met.p4 +
# lep.p4).M()
self.comp_m_hh_bregcorr = lambda bjets, wjets, lepconep4, met: (
op.rng_sum(bjets, (lambda bj: self.bJetCorrP4(bj)), start=empty_p4)
+ op.rng_sum(wjets, (lambda wj: self.bJetCorrP4(wj)),
start=empty_p4) + met.p4 + lepconep4).M()
#self.comp_pt_hh = lambda bjets, wjets, lep, met : (op.rng_sum(bjets, (lambda bj : bj.p4), start=empty_p4) +
# op.rng_sum(wjets, (lambda wj : wj.p4), start=empty_p4) +
# met.p4 +
# lep.p4).Pt()
self.comp_pt_hh = lambda bjets, wjets, lepconep4, met: (op.rng_sum(
bjets, (lambda bj: bj.p4), start=empty_p4) + op.rng_sum(
wjets,
(lambda wj: wj.p4), start=empty_p4) + met.p4 + lepconep4).Pt()
#self.comp_dphi_hbb_hww = lambda bjets, wjets, lep, met : op.deltaPhi((op.rng_sum(wjets, (lambda wj : wj.p4), start=empty_p4) + met.p4 + lep.p4),
# op.rng_sum(bjets, (lambda bj : bj.p4), start=empty_p4))
#self.comp_dphi_hbb_hwwvis = lambda bjets, wjets, lep : op.deltaPhi((op.rng_sum(wjets, (lambda wj : wj.p4), start=empty_p4) + lep.p4),
# op.rng_sum(bjets, (lambda bj : bj.p4), start=empty_p4))
self.comp_dphi_hbb_hww = lambda bjets, wjets, lepconep4, met: op.deltaPhi(
(op.rng_sum(wjets, (lambda wj: wj.p4), start=empty_p4) + met.p4 +
lepconep4), op.rng_sum(bjets, (lambda bj: bj.p4), start=empty_p4))
self.comp_dphi_hbb_hwwvis = lambda bjets, wjets, lepconep4: op.deltaPhi(
(op.rng_sum(wjets,
(lambda wj: wj.p4), start=empty_p4) + lepconep4),
op.rng_sum(bjets, (lambda bj: bj.p4), start=empty_p4))