def evaluateJPA_Hbb2Wj(lepton, muons, electrons, fatJets, jets, bJetsL, bJetsM, met, model, HLL):
#invars = [op.c_float(0.)]*14
invars = [jets[0].btagDeepB, # wjet1_btagCSV
jets[0].qgl, # wjet1_qgDiscr
jets[1].btagDeepB, # wjet2_btagCSV
jets[1].qgl, # wjet2_qgDiscr
(fatJets[0].subJet1.p4 + fatJets[0].subJet2.p4).Pt(), # Hbb_Pt
HLL.Wjj_simple(jets[0].p4, jets[1].p4).M(), # HadW_mass
#HLL.comp_cosThetaS(jets[0].p4, jets[1].p4), # HadW_cosTheta
op.extMethod("HHbbWWJPA::cosThetaS", returnType="float")(jets[0].p4, jets[1].p4),
#op.c_float(random.choice([0,1])),
op.deltaR(HLL.Wjj_simple(jets[0].p4, jets[1].p4), lepton.p4), # dR_HadW_lep
op.min(HLL.dR_HadW_bjet(fatJets[0].subJet1.p4, jets[0].p4, jets[1].p4), # min_dR_HadW_bjet
HLL.dR_HadW_bjet(fatJets[0].subJet2.p4, jets[0].p4, jets[1].p4)),
op.deltaR(jets[0].p4, jets[1].p4), # dR_wjet1wjet2
#HLL.HWW_simple(jets[0].p4, jets[1].p4, lepton.p4, met).M() # Hww_mass
#(jets[0].p4+jets[1].p4+lepton.p4+met.p4).M() # Hww_mass
op.extMethod("HHbbWWJPA::HWW_SimpleMassWithRecoNeutrino", returnType="float")(jets[0].p4, jets[1].p4, lepton.p4, met.p4)
]
return model(*invars, defineOnFirstUse=False)[0]
def comp_cosThetaSbetBeamAndHiggs(self, genColl):
genh = op.select(
genColl,
lambda g: op.AND(g.pdgId == 25, g.statusFlags & (0x1 << 13)))
HH_p4 = genh[0].p4 + genh[1].p4
cm = HH_p4.BoostToCM()
boosted_h1 = op.extMethod("ROOT::Math::VectorUtil::boost",
returnType=genh[0].p4._typeName)(genh[0].p4,
cm)
boosted_h2 = op.extMethod("ROOT::Math::VectorUtil::boost",
returnType=genh[1].p4._typeName)(genh[1].p4,
cm)
mHH = op.switch(
op.rng_len(genh) == 2, op.invariant_mass(genh[0].p4, genh[1].p4),
op.c_float(-9999))
cosTheta1 = op.switch(
op.rng_len(genh) == 2, op.abs(boosted_h1.Pz() / boosted_h1.P()),
op.c_float(-9999))
cosTheta2 = op.switch(
op.rng_len(genh) == 2, op.abs(boosted_h1.Pz() / boosted_h2.P()),
op.c_float(-9999))
return [mHH, cosTheta1, cosTheta2]
def rng_min(rng, fun=(lambda x : x), typeName="float"):
return op._to.Reduce.fromRngFun(rng, op.c_float(float("+inf"), typeName), ( lambda fn : (
lambda res, elm : op.extMethod("std::min", returnType="Float_t")(res, fn(elm))
) )(fun) )
def definePlots(self, t, noSel, sample=None, sampleCfg=None):
if 'type' not in sampleCfg.keys() or sampleCfg["type"] != "signal":
raise RuntimeError("Sample needs to be HH signal LO GGF sample")
era = sampleCfg.get("era") if sampleCfg else None
# Select gen level Higgs #
genh = op.select(
t.GenPart,
lambda g: op.AND(g.pdgId == 25, g.statusFlags & (0x1 << 13)))
HH_p4 = genh[0].p4 + genh[1].p4
cm = HH_p4.BoostToCM()
boosted_h = op.extMethod("ROOT::Math::VectorUtil::boost",
returnType=genh[0].p4._typeName)(genh[0].p4,
cm)
mHH = op.invariant_mass(genh[0].p4, genh[1].p4)
cosHH = op.abs(boosted_h.Pz() / boosted_h.P())
# Apply reweighting #
benchmarks = [
'BenchmarkSM',
'Benchmark1',
'Benchmark2',
'Benchmark3',
'Benchmark4',
'Benchmark5',
'Benchmark6',
'Benchmark7',
'Benchmark8',
'Benchmark8a',
'Benchmark9',
'Benchmark10',
'Benchmark11',
'Benchmark12',
'BenchmarkcHHH0',
'BenchmarkcHHH1',
'BenchmarkcHHH2p45',
'BenchmarkcHHH5',
'Benchmarkcluster1',
'Benchmarkcluster2',
'Benchmarkcluster3',
'Benchmarkcluster4',
'Benchmarkcluster5',
'Benchmarkcluster6',
'Benchmarkcluster7',
]
selections = {'': noSel}
reweights = {}
if self.args.reweighting:
for benchmark in benchmarks:
json_file = os.path.join(
os.path.abspath(os.path.dirname(__file__)), 'data',
'ScaleFactors_GGF_LO',
'{}_to_{}_{}.json'.format(sample, benchmark, era))
if os.path.exists(json_file):
print("Found file {}".format(json_file))
reweightLO = get_scalefactor("lepton",
json_file,
paramDefs={
'Eta': lambda x: mHH,
'Pt': lambda x: cosHH
})
selections[benchmark] = SelectionWithDataDriven.create(
parent=noSel,
name='noSel' + benchmark,
ddSuffix=benchmark,
cut=op.c_bool(True),
ddCut=op.c_bool(True),
weight=op.c_float(1.),
ddWeight=reweightLO(op.c_float(1.)),
enable=True)
reweights[benchmark] = reweightLO(op.c_float(1.))
else:
print("Could not find file {}".format(json_file))
# Plots #
plots = []
for name, reweight in reweights.items():
plots.append(
Plot.make1D("weight_{}".format(name),
reweight,
noSel,
EquidistantBinning(100, 0, 5.),
xTitle='weight'))
for selName, sel in selections.items():
plots.append(
Plot.make2D(
f"mHHvsCosThetaStar{selName}", [mHH, cosHH],
sel, [
VariableBinning([
250., 270., 290., 310., 330., 350., 370., 390.,
410., 430., 450., 470., 490., 510., 530., 550.,
570., 590., 610., 630., 650., 670., 700., 750.,
800., 850., 900., 950., 1000., 1100., 1200., 1300.,
1400., 1500., 1750., 2000., 5000.
]),
VariableBinning([0.0, 0.4, 0.6, 0.8, 1.0])
],
xTitle='m_{HH}',
yTitle='cos(#theta^{*})'))
plots.append(
Plot.make1D(f"mHH{selName}",
mHH,
sel,
VariableBinning([
250., 270., 290., 310., 330., 350., 370., 390.,
410., 430., 450., 470., 490., 510., 530., 550.,
570., 590., 610., 630., 650., 670., 700., 750.,
800., 850., 900., 950., 1000., 1100., 1200.,
1300., 1400., 1500., 1750., 2000., 5000.
]),
xTitle='m_{HH}'))
plots.append(
Plot.make1D(f"cosThetaStar{selName}",
cosHH,
sel,
VariableBinning([0.0, 0.4, 0.6, 0.8, 1.0]),
xTitle='cos(#theta^{*})'))
return plots
def returnResonantMVAInputs(self, l1, l2, channel, jets, bjets, fatjets, met,
electrons, muons):
if channel == "ElEl":
l1conept = lambda l1: self.electron_conept[l1.idx]
l2conept = lambda l2: self.electron_conept[l2.idx]
elif channel == "MuMu":
l1conept = lambda l1: self.muon_conept[l1.idx]
l2conept = lambda l2: self.muon_conept[l2.idx]
elif channel == "ElMu":
l1conept = lambda l1: self.electron_conept[l1.idx]
l2conept = lambda l2: self.muon_conept[l2.idx]
else:
raise RuntimeError("Wrong channel")
dijets = op.combine(jets, N=2)
import bamboo.treeoperations as _to
def rng_min(rng, fun=(lambda x: x), typeName="float"):
return op._to.Reduce.fromRngFun(
rng, op.c_float(float("+inf"), typeName),
(lambda fn:
(lambda res, elm: op.extMethod("std::min", returnType="Float_t")
(res, fn(elm))))(fun))
if self.args.era is None:
era = op.c_int(int(self.era))
else:
era = op.c_int(int(self.args.era))
print(f'Using {self.args.era} as DNN input')
return {
('eventnr', 'Event number', (100, 0., 1e6)):
self.tree.event,
('era', 'Era', (3, 2016., 2019.)):
era,
('l1_E', 'Lead lepton E [GeV]', (50, 0., 500.)):
op.switch(l1conept(l1) >= l2conept(l2), l1.p4.E(), l2.p4.E()),
('l1_Px', 'Lead lepton P_x [GeV]', (40, -200., 200.)):
op.switch(l1conept(l1) >= l2conept(l2), l1.p4.Px(), l2.p4.Px()),
('l1_Py', 'Lead lepton P_y [GeV]', (40, -200., 200.)):
op.switch(l1conept(l1) >= l2conept(l2), l1.p4.Py(), l2.p4.Py()),
('l1_Pz', 'Lead lepton P_z [GeV]', (40, -200., 200.)):
op.switch(l1conept(l1) >= l2conept(l2), l1.p4.Pz(), l2.p4.Pz()),
('l1_charge', 'Lead lepton charge', (2, 0., 2.)):
op.switch(l1conept(l1) >= l2conept(l2), l1.charge, l2.charge),
('l1_pdgId', 'Lead lepton pdg ID', (45, -22., 22.)):
op.switch(l1conept(l1) >= l2conept(l2), l1.pdgId, l2.pdgId),
('l2_E', 'Sublead lepton E [GeV]', (50, 0., 500.)):
op.switch(l1conept(l1) >= l2conept(l2), l2.p4.E(), l1.p4.E()),
('l2_Px', 'Sublead lepton P_x [GeV]', (40, -200., 200.)):
op.switch(l1conept(l1) >= l2conept(l2), l2.p4.Px(), l1.p4.Px()),
('l2_Py', 'Sublead lepton P_y [GeV]', (40, -200., 200.)):
op.switch(l1conept(l1) >= l2conept(l2), l2.p4.Py(), l1.p4.Py()),
('l2_Pz', 'Sublead lepton P_z [GeV]', (40, -200., 200.)):
op.switch(l1conept(l1) >= l2conept(l2), l2.p4.Pz(), l1.p4.Pz()),
('l2_charge', 'Sublead lepton charge', (2, 0., 2.)):
op.switch(l1conept(l1) >= l2conept(l2), l2.charge, l1.charge),
('l2_pdgId', 'Sublead lepton pdg ID', (45, -22., 22.)):
op.switch(l1conept(l1) >= l2conept(l2), l2.pdgId, l1.pdgId),
('j1_E', 'Lead jet E [GeV]', (50, 0., 500.)):
op.switch(op.rng_len(jets) > 0, jets[0].p4.E(), op.c_float(0.)),
('j1_Px', 'Lead jet P_x [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 0, jets[0].p4.Px(), op.c_float(0.)),
('j1_Py', 'Lead jet P_y [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 0, jets[0].p4.Py(), op.c_float(0.)),
('j1_Pz', 'Lead jet P_z [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 0, jets[0].p4.Pz(), op.c_float(0.)),
('j2_E', 'Sublead jet E [GeV]', (50, 0., 500.)):
op.switch(op.rng_len(jets) > 1, jets[1].p4.E(), op.c_float(0.)),
('j2_Px', 'Sublead jet P_x [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 1, jets[1].p4.Px(), op.c_float(0.)),
('j2_Py', 'Sublead jet P_y [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 1, jets[1].p4.Py(), op.c_float(0.)),
('j2_Pz', 'Sublead jet P_z [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 1, jets[1].p4.Pz(), op.c_float(0.)),
('j3_E', 'Subsublead jet E [GeV]', (50, 0., 500.)):
op.switch(op.rng_len(jets) > 2, jets[2].p4.E(), op.c_float(0.)),
('j3_Px', 'Subsublead jet P_x [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 2, jets[2].p4.Px(), op.c_float(0.)),
('j3_Py', 'Subsublead jet P_y [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 2, jets[2].p4.Py(), op.c_float(0.)),
('j3_Pz', 'Subsublead jet P_z [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 2, jets[2].p4.Pz(), op.c_float(0.)),
('j4_E', 'Subsubsublead jet E [GeV]', (50, 0., 500.)):
op.switch(op.rng_len(jets) > 3, jets[3].p4.E(), op.c_float(0.)),
('j4_Px', 'Subsubsublead jet P_x [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 3, jets[3].p4.Px(), op.c_float(0.)),
('j4_Py', 'Subsubsublead jet P_y [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 3, jets[3].p4.Py(), op.c_float(0.)),
('j4_Pz', 'Subsubsublead jet P_z [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(jets) > 3, jets[3].p4.Pz(), op.c_float(0.)),
('fatjet_E', 'Fatjet E [GeV]', (50, 0., 500.)):
op.switch(op.rng_len(fatjets) > 0, fatjets[0].p4.E(), op.c_float(0.)),
('fatjet_Px', 'Fatjet P_x [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(fatjets) > 0, fatjets[0].p4.Px(), op.c_float(0.)),
('fatjet_Py', 'Fatjet P_y [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(fatjets) > 0, fatjets[0].p4.Py(), op.c_float(0.)),
('fatjet_Pz', 'Fatjet P_z [GeV]', (40, -200., 200.)):
op.switch(op.rng_len(fatjets) > 0, fatjets[0].p4.Pz(), op.c_float(0.)),
('fatjet_tau1', 'Fatjet #tau_1', (50, 0., 1.)):
op.switch(op.rng_len(fatjets) > 0, fatjets[0].tau1, op.c_float(0.)),
('fatjet_tau2', 'Fatjet #tau_2', (50, 0., 1.)):
op.switch(op.rng_len(fatjets) > 0, fatjets[0].tau2, op.c_float(0.)),
('fatjet_tau3', 'Fatjet #tau_3', (50, 0., 1.)):
op.switch(op.rng_len(fatjets) > 0, fatjets[0].tau3, op.c_float(0.)),
('fatjet_tau4', 'Fatjet #tau_4', (50, 0., 1.)):
op.switch(op.rng_len(fatjets) > 0, fatjets[0].tau4, op.c_float(0.)),
('fatjet_softdrop', 'Fatjet softdrop mass [GeV]', (50, 0., 1000.)):
op.switch(
op.rng_len(fatjets) > 0, fatjets[0].msoftdrop, op.c_float(0.)),
('met_E', 'MET Energy', (50, 0., 500.)):
met.p4.E(),
('met_Px', 'MET P_x', (40, -200., 200.)):
met.p4.Px(),
('met_Py', 'MET P_y', (40, -200., 200.)):
met.p4.Py(),
('met_Pz', 'MET P_z', (40, -200., 200.)):
met.p4.Pz(),
('m_bb_bregcorr', 'Di-bjet invariant mass (regcorr) [GeV]', (100, 0., 1000.)):
op.multiSwitch(
(op.rng_len(bjets) == 0, op.c_float(0.)),
(op.rng_len(bjets) == 1, self.HLL.getCorrBp4(bjets[0]).M()),
op.invariant_mass(self.HLL.getCorrBp4(bjets[0]),
self.HLL.getCorrBp4(bjets[1]))),
('ht', 'HT(jets) [GeV]', (100, 0., 1000.)):
op.rng_sum(jets, lambda j: j.pt),
('min_dr_jets_lep1', 'Min(#Delta R(lead lepton,jets))', (25, 0., 5.)):
op.switch(
op.rng_len(jets) > 0,
op.switch(
l1conept(l1) >= l2conept(l2),
self.HLL.MinDR_part1_partCont(l1.p4, jets),
self.HLL.MinDR_part1_partCont(l2.p4, jets)), op.c_float(0.)),
('min_dr_jets_lep2', 'Min(#Delta R(sublead lepton,jets))', (25, 0., 5.)):
op.switch(
op.rng_len(jets) > 0,
op.switch(
l1conept(l1) >= l2conept(l2),
self.HLL.MinDR_part1_partCont(l2.p4, jets),
self.HLL.MinDR_part1_partCont(l1.p4, jets)), op.c_float(0.)),
('m_ll', 'Dilepton invariant mass [GeV]', (100, 0., 1000.)):
op.invariant_mass(l1.p4, l2.p4),
('dr_ll', 'Dilepton #Delta R', (25, 0., 5.)):
op.deltaR(l1.p4, l2.p4),
('min_dr_jet', 'Min(#Delta R(jets))', (25, 0., 5.)):
op.switch(
op.rng_len(dijets) > 0,
op.rng_min(dijets,
lambda dijet: op.deltaR(dijet[0].p4, dijet[1].p4)),
op.c_float(0.)),
('min_dphi_jet', 'Min(#Delta #Phi(jets))', (16, 0., 3.2)):
op.switch(
op.rng_len(dijets) > 0,
rng_min(
dijets,
lambda dijet: op.abs(op.deltaPhi(dijet[0].p4, dijet[1].p4)),
typeName='double'), op.c_float(0.)),
('m_hh_simplemet_bregcorr', 'M_{HH} (simple MET) (regcorr) [GeV]', (100, 0., 1000.)):
op.invariant_mass(
op.rng_sum(bjets,
lambda bjet: self.HLL.getCorrBp4(bjet),
start=self.HLL.empty_p4), l1.p4, l2.p4, met.p4),
('met_ld', 'MET_{LD}', (100, 0., 1000.)):
self.HLL.MET_LD_DL(met, jets, electrons, muons),
('dr_bb', 'Di-bjet #Delta R', (25, 0., 5.)):
op.switch(
op.rng_len(bjets) >= 2, op.deltaR(bjets[0].p4, bjets[1].p4),
op.c_float(0.)),
('min_dr_leps_b1', 'Min(#Delta R(lead bjet,dilepton))', (25, 0., 5.)):
op.switch(
op.rng_len(bjets) >= 1,
self.HLL.MinDR_part1_dipart(bjets[0].p4, [l1.p4, l2.p4]),
op.c_float(0.)),
('min_dr_leps_b2', 'Min(#Delta R(sublead bjet,dilepton))', (25, 0., 5.)):
op.switch(
op.rng_len(bjets) >= 2,
self.HLL.MinDR_part1_dipart(bjets[1].p4, [l1.p4, l2.p4]),
op.c_float(0.)),
('lep1_conept', 'Lead lepton cone-P_T [GeV]', (40, 0., 200.)):
op.switch(l1conept(l1) >= l2conept(l2), l1conept(l1), l2conept(l2)),
('lep2_conept', 'Sublead lepton cone-P_T [GeV]', (40, 0., 200.)):
op.switch(l1conept(l1) >= l2conept(l2), l2conept(l2), l1conept(l1)),
('mww_simplemet', 'M_{WW} (simple MET) [GeV]', (100, 0., 1000.)):
op.invariant_mass(l1.p4, l2.p4, met.p4),
('boosted_tag', 'Boosted tag', (2, 0., 2.)):
op.c_int(
op.OR(
op.rng_len(self.ak8BJets) > 0, # Boosted 1B
op.AND(
op.rng_len(self.ak8BJets) == 0, # Boosted 0B
op.rng_len(self.ak8Jets) > 0,
op.rng_len(self.ak4BJets) == 0))),
('dphi_met_dilep', 'Dilepton-MET #Delta #Phi', (32, -3.2, 3.2)):
op.abs(op.deltaPhi(met.p4, (l1.p4 + l2.p4))),
('dphi_met_dibjet', 'Dibjet-MET #Delta #Phi', (32, -3.2, 3.2)):
op.multiSwitch(
(op.rng_len(bjets) == 0, op.c_float(0.)),
(op.rng_len(bjets) == 1, op.abs(op.deltaPhi(met.p4, bjets[0].p4))),
op.abs(op.deltaPhi(met.p4, (bjets[0].p4 + bjets[1].p4)))),
('dr_dilep_dijet', 'Dilepton-dijet #Delta R', (25, 0., 5.)):
op.multiSwitch(
(op.rng_len(jets) == 0, op.c_float(0.)),
(op.rng_len(jets) == 1, op.deltaR((l1.p4 + l2.p4), jets[0].p4)),
op.deltaR((l1.p4 + l2.p4), (jets[0].p4 + jets[1].p4))),
('dr_dilep_dibjet', 'Dilepton-dibjet #Delta R', (25, 0., 5.)):
op.multiSwitch(
(op.rng_len(bjets) == 0, op.c_float(0.)),
(op.rng_len(bjets) == 1, op.deltaR((l1.p4 + l2.p4), bjets[0].p4)),
op.deltaR((l1.p4 + l2.p4), (bjets[0].p4 + bjets[1].p4))),
('m_T', 'Transverse mass', (100, 0., 1000.)):
op.sqrt(2 * (l1.p4 + l2.p4).Pt() * met.p4.E() *
(1 - op.cos((l1.p4 + l2.p4).Phi() - met.p4.Phi()))),
('cosThetaS_Hbb', 'Helicity angle between Hbb and bjet', (20, 0., 1.)):
op.switch(
op.rng_len(bjets) == 2,
op.extMethod("HHbbWWJPA::cosThetaS",
returnType="float")(bjets[0].p4, bjets[1].p4),
op.c_float(0.)),
('LBN_inputs', 'LBN inputs', None): [
op.switch(l1conept(l1) >= l2conept(l2), l1.p4.E(), l2.p4.E()),
op.switch(l1conept(l1) >= l2conept(l2), l1.p4.Px(), l2.p4.Px()),
op.switch(l1conept(l1) >= l2conept(l2), l1.p4.Py(), l2.p4.Py()),
op.switch(l1conept(l1) >= l2conept(l2), l1.p4.Pz(), l2.p4.Pz()),
op.switch(l1conept(l1) >= l2conept(l2), l2.p4.E(), l1.p4.E()),
op.switch(l1conept(l1) >= l2conept(l2), l2.p4.Px(), l1.p4.Px()),
op.switch(l1conept(l1) >= l2conept(l2), l2.p4.Py(), l1.p4.Py()),
op.switch(l1conept(l1) >= l2conept(l2), l2.p4.Pz(), l1.p4.Pz()),
op.switch(op.rng_len(jets) > 0, jets[0].p4.E(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 0, jets[0].p4.Px(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 0, jets[0].p4.Py(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 0, jets[0].p4.Pz(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 1, jets[1].p4.E(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 1, jets[1].p4.Px(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 1, jets[1].p4.Py(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 1, jets[1].p4.Pz(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 2, jets[2].p4.E(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 2, jets[2].p4.Px(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 2, jets[2].p4.Py(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 2, jets[2].p4.Pz(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 3, jets[3].p4.E(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 3, jets[3].p4.Px(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 3, jets[3].p4.Py(), op.c_float(0.)),
op.switch(op.rng_len(jets) > 3, jets[3].p4.Pz(), op.c_float(0.)),
op.switch(
op.rng_len(fatjets) > 0, fatjets[0].p4.E(), op.c_float(0.)),
op.switch(
op.rng_len(fatjets) > 0, fatjets[0].p4.Px(), op.c_float(0.)),
op.switch(
op.rng_len(fatjets) > 0, fatjets[0].p4.Py(), op.c_float(0.)),
op.switch(
op.rng_len(fatjets) > 0, fatjets[0].p4.Pz(), op.c_float(0.))
]
}