| [ae1d49f] | 1 | from itertools import combinations
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| 2 |
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| 3 | def jetSelection(event, ptcut=20., etacut=2.4):
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| 4 | def jetfilter(jet): return jet.PT>ptcut and abs(jet.Eta)<etacut
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| 5 | return filter(jetfilter,event.jets)
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| 6 |
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| 7 | def bjets(event):
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| 8 | def jetfilter(jet): return jet.BTag
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| 9 | return filter(jetfilter,event.selectedJets)
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| 10 |
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| 11 | def ljets(event):
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| 12 | def jetfilter(jet): return jet.BTag==0
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| 13 | return filter(jetfilter,event.selectedJets)
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| 14 |
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| 15 | def topCandidates(event,leptonic=True,hadronic=True):
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| 16 | electrons = event.electrons
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| 17 | muons = event.muons
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| 18 | ljets = event.lJets
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| 19 | bjets = event.bJets
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| 20 | met = event.MEt[0]
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| 21 | output = []
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| 22 | # leptonic top candidates: lepton + bjet + MET
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| 23 | if leptonic and not hadronic:
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| 24 | # build all combinations
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| 25 | for b in bjets:
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| 26 | for l in electrons:
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| 27 | output.append( (l,b,met) )
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| 28 | for l in muons:
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| 29 | output.append( (l,b,met) )
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| 30 | # no specific order
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| 31 | return output
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| 32 | # hadronic top candidates: 2 jets + bjet
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| 33 | if hadronic and not leptonic:
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| 34 | # build all combinations
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| 35 | for j in combinations(ljets,2):
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| 36 | for b in bjets:
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| 37 | output.append( (j[0], j[1], b) )
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| 38 | # order by distance to top mass
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| 39 | def massDistance(top):
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| 40 | mass = (top[0].P4()+top[1].P4()+top[2].P4()).M()
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| 41 | return abs(mass-172.9)
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| 42 | return sorted(output,key=massDistance)
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| 43 | # full event reconstruction
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| 44 | if hadronic and leptonic:
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| 45 | # build all combinations
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| 46 | for j in combinations(ljets,2):
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| 47 | for b in combinations(bjets,2):
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| 48 | for l in electrons:
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| 49 | output.append( (j[0], j[1], b[0], l, b[1], met) )
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| 50 | for l in muons:
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| 51 | output.append( (j[0], j[1], b[0], l, b[1], met) )
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| 52 | # find the best ones: order via hadronic top mass
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| 53 | def massDistance(top):
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| 54 | mass = (top[0].P4()+top[1].P4()+top[2].P4()).M()
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| 55 | return abs(mass-172.9)
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| 56 | return sorted(output,key=massDistance)
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| 57 |
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