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 toJetIndices(jpaJetList):
#maxJPAJets = tojetIndices(JPAJetList)[maxIdx]
# use as `t.Jet[maxJPAJets[0]]` etc.
print('--- Finding the indices of JPA jets')
idx_per_entry = []
for jpaJets in jpaJetList:
N = len(jpaJets.cont.ranges) ## a hack, should not be needed after https://gitlab.cern.ch/cp3-cms/bamboo/-/issues/76 is implemented
idx_per_entry.append(op.initList("std::vector<std::size_t>", "std::size_t", (jpaJets[i].idx for i in range(N))))
return op.construct("std::vector<std::vector<std::size_t>>", op.initList("std::vector<std::vector<std::size_t>>", "std::vector<std::size_t>", idx_per_entry))
def makeBtagRatioReweighting(jsonFile, numJets , variation="Nominal", systName=None, nameHint=None):
""" Construct a btag ratio for MC, based on the weights in a JSON file
:param btagRatioFile: path of the JSON file with weights (binned in NumJets)
:param numJets : expression to get the number of selected jets
:param systName: name of the associated systematic nuisance parameter
"""
paramVType = "Parameters::value_type::value_type"
args = op.construct("Parameters", (op.initList("std::initializer_list<{0}>".format(paramVType), paramVType,
(op.initList(paramVType, "float", (op.extVar("int", "BinningVariable::NumJets"), numJets)),)),))
wFun = op.define("ILeptonScaleFactor", 'const ScaleFactor <<name>>{{"{0}"}};'.format(jsonFile), nameHint=nameHint)
expr = wFun.get(args, op.extVar("int", variation))
if systName and variation == "Nominal":
expr._parent = ScaleFactorWithSystOp(expr._parent, systName)
return expr
def __init__(self, rawMET, pv, sample, era, isMC):
if (era == '2016'):
if isMC:
xcorr = (0.195191, 0.170948)
ycorr = (0.0311891, -0.787627)
else:
if '2016B' in sample:
xcorr = (0.0478335, 0.108032)
ycorr = (-0.125148, -0.355672)
elif '2016C' in sample:
xcorr = (0.0916985, -0.393247)
ycorr = (-0.151445, -0.114491)
elif '2016D' in sample:
xcorr = (0.0581169, -0.567316)
ycorr = (-0.147549, -0.403088)
elif '2016E' in sample:
xcorr = (0.065622, -0.536856)
ycorr = (-0.188532, -0.495346)
elif '2016F' in sample:
xcorr = (0.0313322, -0.39866)
ycorr = (-0.16081, -0.960177)
elif '2016G' in sample:
xcorr = (-0.040803, 0.290384)
ycorr = (-0.0961935, -0.666096)
else:
xcorr = (-0.0330868, 0.209534)
ycorr = (-0.141513, -0.816732)
elif (era == '2017'):
if isMC:
xcorr = (0.217714, -0.493361)
ycorr = (-0.177058, 0.336648)
#these are the corrections for v2 MET recipe (currently recommended for 2017)
else:
if '2017B' in sample:
xcorr = (0.19563, -1.51859)
ycorr = (-0.306987, 1.84713)
elif '2017C' in sample:
xcorr = (0.161661, -0.589933)
ycorr = (-0.233569, 0.995546)
elif '2017D' in sample:
xcorr = (0.180911, -1.23553)
ycorr = (-0.240155, 1.27449)
elif '2017E' in sample:
xcorr = (0.149494, -0.901305)
ycorr = (-0.178212, 0.535537)
else:
xcorr = (0.165154, -1.02018)
ycorr = (-0.253794, -0.75776)
elif (era == '2018'):
if isMC:
xcorr = (-0.296713, 0.141506)
ycorr = (-0.115685, -0.0128193)
else:
if '2018A' in sample:
xcorr = (-0.362865, 1.94505)
ycorr = (-0.0709085, 0.307365)
elif '2018B' in sample:
xcorr = (-0.492083, 2.93552)
ycorr = (-0.17874, 0.786844)
elif '2018C' in sample:
xcorr = (-0.521349, 1.44544)
ycorr = (-0.118956, 1.96434)
else:
xcorr = (-0.531151, 1.37568)
ycorr = (-0.0884639, 1.57089)
METxcorr = xcorr[0] * op.min(pv.npvs, op.c_int(100)) + xcorr[1]
METycorr = ycorr[0] * op.min(pv.npvs, op.c_int(100)) + ycorr[1]
corrMETx = rawMET.pt * op.cos(rawMET.phi) + METxcorr
corrMETy = rawMET.pt * op.sin(rawMET.phi) + METycorr
atan = op.atan(corrMETy / corrMETx)
self.pt = op.sqrt(corrMETx**2 + corrMETy**2)
self.eta = op.c_float(0.)
self.phi = op.multiSwitch((corrMETx > 0, atan),
(corrMETy > 0, atan + math.pi),
atan - math.pi)
self.M = op.c_float(0.)
#self.p4 = op.construct("ROOT::Math::LorentzVector<ROOT::Math::PxPyPzE4D<float> >",
# (corrMETx,corrMETy,op.c_float(0.),op.sqrt(corrMETx**2 +corrMETy**2)))
self.p4 = op.construct(
"ROOT::Math::LorentzVector<ROOT::Math::PtEtaPhiM4D<float> >",
(self.pt, self.eta, self.phi, self.M))
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))
def getCorrBp4(self, j):
return op.construct(
"ROOT::Math::LorentzVector<ROOT::Math::PtEtaPhiM4D<float> >",
(j.pt * j.bRegCorr, j.eta, j.phi, j.mass * j.bRegCorr))