1 |
amagnan |
1.1 |
########################################
|
2 |
|
|
#### Created 08-Apr-09
|
3 |
|
|
#### by A.-M. Magnan
|
4 |
|
|
#### a.magnan@imperial.ac.uk
|
5 |
|
|
########################################
|
6 |
|
|
|
7 |
|
|
import FWCore.ParameterSet.Config as cms
|
8 |
|
|
import copy
|
9 |
|
|
|
10 |
|
|
from RecoTauTag.Configuration.RecoTauTag_cff import *
|
11 |
|
|
|
12 |
|
|
######################################################################################
|
13 |
|
|
#### Reco tau producer
|
14 |
|
|
######################################################################################
|
15 |
|
|
|
16 |
|
|
caloRecoTauProducerForTauAnalyses = copy.deepcopy(caloRecoTauProducer)
|
17 |
|
|
|
18 |
|
|
caloRecoTauProducerForTauAnalyses.TrackerIsolConeMetric = cms.string('DR') ## *
|
19 |
amagnan |
1.2 |
caloRecoTauProducerForTauAnalyses.TrackerIsolConeSizeFormula = cms.string('0.50') ## **
|
20 |
|
|
caloRecoTauProducerForTauAnalyses.TrackerIsolConeSize_min = cms.double(0.0)
|
21 |
|
|
caloRecoTauProducerForTauAnalyses.TrackerIsolConeSize_max = cms.double(0.6)
|
22 |
amagnan |
1.1 |
caloRecoTauProducerForTauAnalyses.TrackerSignalConeMetric = cms.string('DR') ## *
|
23 |
amagnan |
1.2 |
caloRecoTauProducerForTauAnalyses.TrackerSignalConeSizeFormula = cms.string('0.07') ## **
|
24 |
|
|
caloRecoTauProducerForTauAnalyses.TrackerSignalConeSize_min = cms.double(0.0)
|
25 |
|
|
caloRecoTauProducerForTauAnalyses.TrackerSignalConeSize_max = cms.double(0.6)
|
26 |
amagnan |
1.1 |
|
27 |
amagnan |
1.2 |
caloRecoTauProducerForTauAnalyses.ECALIsolConeMetric = cms.string('DR') ## *
|
28 |
|
|
caloRecoTauProducerForTauAnalyses.ECALIsolConeSizeFormula = cms.string('0.50') ## **
|
29 |
|
|
caloRecoTauProducerForTauAnalyses.ECALIsolConeSize_min = cms.double(0.0)
|
30 |
|
|
caloRecoTauProducerForTauAnalyses.ECALIsolConeSize_max = cms.double(0.6)
|
31 |
|
|
caloRecoTauProducerForTauAnalyses.ECALSignalConeMetric = cms.string('DR') ## *
|
32 |
|
|
caloRecoTauProducerForTauAnalyses.ECALSignalConeSizeFormula = cms.string('0.15') ## **
|
33 |
amagnan |
1.1 |
caloRecoTauProducerForTauAnalyses.ECALSignalConeSize_min = cms.double(0.0)
|
34 |
amagnan |
1.2 |
caloRecoTauProducerForTauAnalyses.ECALSignalConeSize_max = cms.double(0.6)
|
35 |
|
|
|
36 |
amagnan |
1.1 |
caloRecoTauProducerForTauAnalyses.MatchingConeMetric = cms.string('DR') ## *
|
37 |
|
|
caloRecoTauProducerForTauAnalyses.MatchingConeSizeFormula = cms.string('0.10') ## **
|
38 |
amagnan |
1.2 |
caloRecoTauProducerForTauAnalyses.MatchingConeSize_min = cms.double(0.0)
|
39 |
|
|
caloRecoTauProducerForTauAnalyses.MatchingConeSize_max = cms.double(0.6)
|
40 |
amagnan |
1.1 |
|
41 |
|
|
caloRecoTauProducerForTauAnalyses.AreaMetric_recoElements_maxabsEta = cms.double(2.5)
|
42 |
|
|
|
43 |
|
|
caloRecoTauProducerForTauAnalyses.JetPtMin = cms.double(0.0)
|
44 |
|
|
caloRecoTauProducerForTauAnalyses.TrackLeadTrack_maxDZ = cms.double(0.2)
|
45 |
|
|
caloRecoTauProducerForTauAnalyses.Track_minPt = cms.double(1.0)
|
46 |
amagnan |
1.2 |
caloRecoTauProducerForTauAnalyses.LeadTrack_minPt = cms.double(5.0)
|
47 |
amagnan |
1.1 |
caloRecoTauProducerForTauAnalyses.IsolationTrack_minPt = cms.double(0.5)
|
48 |
|
|
caloRecoTauProducerForTauAnalyses.IsolationTrack_minHits = cms.uint32(0)
|
49 |
|
|
|
50 |
|
|
caloRecoTauProducerForTauAnalyses.UseTrackLeadTrackDZconstraint = cms.bool(True)
|
51 |
amagnan |
1.2 |
caloRecoTauProducerForTauAnalyses.PVProducer = cms.string('offlinePrimaryVertices')
|
52 |
amagnan |
1.1 |
caloRecoTauProducerForTauAnalyses.smearedPVsigmaY = cms.double(0.0015)
|
53 |
|
|
caloRecoTauProducerForTauAnalyses.smearedPVsigmaX = cms.double(0.0015)
|
54 |
|
|
caloRecoTauProducerForTauAnalyses.smearedPVsigmaZ = cms.double(0.005)
|
55 |
amagnan |
1.2 |
|
56 |
amagnan |
1.1 |
caloRecoTauProducerForTauAnalyses.CaloRecoTauTagInfoProducer = cms.InputTag("caloRecoTauTagInfoProducer")
|
57 |
|
|
# parameters of the considered EcalRecHits
|
58 |
|
|
caloRecoTauProducerForTauAnalyses.ESRecHitsSource = cms.InputTag("ecalPreshowerRecHit","EcalRecHitsES")
|
59 |
|
|
caloRecoTauProducerForTauAnalyses.EBRecHitsSource = cms.InputTag("ecalRecHit","EcalRecHitsEB")
|
60 |
|
|
caloRecoTauProducerForTauAnalyses.EERecHitsSource = cms.InputTag("ecalRecHit","EcalRecHitsEE")
|
61 |
amagnan |
1.2 |
caloRecoTauProducerForTauAnalyses.ECALRecHit_minEt = cms.double(0.5)
|
62 |
amagnan |
1.1 |
|
63 |
|
|
caloRecoTauPreDiscriminationForTauAnalyses = copy.deepcopy(caloRecoTauDiscriminationByIsolation)
|
64 |
|
|
caloRecoTauPreDiscriminationForTauAnalyses.CaloTauProducer = 'caloRecoTauProducerForTauAnalyses'
|
65 |
|
|
|
66 |
|
|
|
67 |
|
|
######################################################################################
|
68 |
|
|
#### PAT layer 0
|
69 |
|
|
######################################################################################
|
70 |
|
|
|
71 |
|
|
from PhysicsTools.PatAlgos.cleaningLayer0.caloTauCleaner_cfi import *
|
72 |
|
|
|
73 |
|
|
allLayer0CaloTausForTauAnalyses = copy.deepcopy(allLayer0CaloTaus)
|
74 |
|
|
allLayer0CaloTausForTauAnalyses.tauSource = cms.InputTag("caloRecoTauProducerForTauAnalyses")
|
75 |
|
|
allLayer0CaloTausForTauAnalyses.tauDiscriminatorSource = cms.InputTag("caloRecoTauPreDiscriminationForTauAnalyses")
|
76 |
|
|
|
77 |
|
|
allLayer0CaloTausForTauAnalyses.removeOverlaps = cms.PSet(
|
78 |
|
|
## Flag or discard taus that match with clean electrons
|
79 |
|
|
#electrons = cms.PSet(
|
80 |
|
|
# collection = cms.InputTag("allLayer0Electrons")
|
81 |
|
|
# deltaR = cms.double(0.3)
|
82 |
|
|
#)
|
83 |
|
|
)
|
84 |
|
|
|
85 |
|
|
|
86 |
|
|
######################################################################################
|
87 |
|
|
#### tau discriminators
|
88 |
|
|
######################################################################################
|
89 |
|
|
|
90 |
|
|
#from PhysicsTools.PatAlgos.recoLayer0.tauDiscriminators_cff import *
|
91 |
|
|
|
92 |
|
|
patCaloRecoTauDiscriminationByIsolationForTauAnalyses = copy.deepcopy(caloRecoTauDiscriminationByIsolation)
|
93 |
|
|
patCaloRecoTauDiscriminationByIsolationForTauAnalyses.CaloTauProducer = 'allLayer0CaloTausForTauAnalyses'
|
94 |
|
|
patCaloRecoTauDiscriminationByLeadingTrackFindingForTauAnalyses = copy.deepcopy(caloRecoTauDiscriminationByLeadingTrackFinding)
|
95 |
|
|
patCaloRecoTauDiscriminationByLeadingTrackFindingForTauAnalyses.CaloTauProducer = 'allLayer0CaloTausForTauAnalyses'
|
96 |
|
|
patCaloRecoTauDiscriminationByLeadingTrackPtCutForTauAnalyses = copy.deepcopy(caloRecoTauDiscriminationByLeadingTrackPtCut)
|
97 |
|
|
patCaloRecoTauDiscriminationByLeadingTrackPtCutForTauAnalyses.CaloTauProducer = 'allLayer0CaloTausForTauAnalyses'
|
98 |
|
|
|
99 |
|
|
patCaloTauDiscriminationForTauAnalyses = cms.Sequence(
|
100 |
|
|
#patCaloRecoTauDiscriminationAgainstElectronForTauAnalyses + # Not on AOD
|
101 |
|
|
patCaloRecoTauDiscriminationByIsolationForTauAnalyses +
|
102 |
|
|
patCaloRecoTauDiscriminationByLeadingTrackFindingForTauAnalyses +
|
103 |
|
|
patCaloRecoTauDiscriminationByLeadingTrackPtCutForTauAnalyses
|
104 |
|
|
)
|
105 |
|
|
|
106 |
|
|
######################################################################################
|
107 |
|
|
#### tau isolation
|
108 |
|
|
######################################################################################
|
109 |
|
|
|
110 |
amagnan |
1.2 |
#not needed: variables filled by CaloTauProducer already ???
|
111 |
amagnan |
1.1 |
|
112 |
|
|
|
113 |
|
|
######################################################################################
|
114 |
|
|
#### trigger matching
|
115 |
|
|
######################################################################################
|
116 |
|
|
|
117 |
|
|
#from PhysicsTools.PatAlgos.triggerLayer0.trigMatchSequences_cff import *
|
118 |
|
|
|
119 |
|
|
|
120 |
|
|
######################################################################################
|
121 |
|
|
#### MC matching
|
122 |
|
|
######################################################################################
|
123 |
|
|
|
124 |
|
|
from PhysicsTools.PatAlgos.mcMatchLayer0.tauMatch_cfi import *
|
125 |
|
|
|
126 |
|
|
caloTauMatchForTauAnalyses = copy.deepcopy(tauMatch)
|
127 |
|
|
caloTauMatchForTauAnalyses.src = cms.InputTag("allLayer0CaloTausForTauAnalyses")
|
128 |
|
|
caloTauMatchForTauAnalyses.matched = cms.InputTag("genParticles")
|
129 |
|
|
caloTauMatchForTauAnalyses.mcPdgId = cms.vint32(15)
|
130 |
|
|
caloTauMatchForTauAnalyses.checkCharge = cms.bool(True)
|
131 |
|
|
caloTauMatchForTauAnalyses.mcStatus = cms.vint32(2) # PYTHIA status code (1 = stable, 2 = shower, 3 = hard scattering)
|
132 |
|
|
# NOTE that Taus can only be status 3 or 2, never 1!
|
133 |
|
|
caloTauMatchForTauAnalyses.maxDeltaR = cms.double(0.3)
|
134 |
|
|
caloTauMatchForTauAnalyses.maxDPtRel = cms.double(3.0)
|
135 |
|
|
caloTauMatchForTauAnalyses.resolveAmbiguities = cms.bool(True)
|
136 |
|
|
caloTauMatchForTauAnalyses.resolveByMatchQuality = cms.bool(False)
|
137 |
|
|
|
138 |
|
|
caloTauGenJetMatchForTauAnalyses = copy.deepcopy(tauGenJetMatch)
|
139 |
|
|
caloTauGenJetMatchForTauAnalyses.src = cms.InputTag("allLayer0CaloTausForTauAnalyses")
|
140 |
|
|
caloTauGenJetMatchForTauAnalyses.matched = cms.InputTag("tauGenJets")
|
141 |
|
|
caloTauGenJetMatchForTauAnalyses.maxDeltaR = cms.double(0.1)
|
142 |
|
|
caloTauGenJetMatchForTauAnalyses.maxDPtRel = cms.double(3.0)
|
143 |
|
|
caloTauGenJetMatchForTauAnalyses.resolveAmbiguities = cms.bool(True)
|
144 |
|
|
caloTauGenJetMatchForTauAnalyses.resolveByMatchQuality = cms.bool(False)
|
145 |
|
|
|
146 |
|
|
|
147 |
|
|
######################################################################################
|
148 |
|
|
#### PAT layer 1
|
149 |
|
|
######################################################################################
|
150 |
|
|
|
151 |
|
|
from PhysicsTools.PatAlgos.producersLayer1.tauProducer_cfi import *
|
152 |
|
|
|
153 |
|
|
allLayer1CaloTausForTauAnalyses = copy.deepcopy(allLayer1Taus)
|
154 |
|
|
allLayer1CaloTausForTauAnalyses.tauSource = cms.InputTag("allLayer0CaloTausForTauAnalyses")
|
155 |
|
|
|
156 |
|
|
allLayer1CaloTausForTauAnalyses.embedLeadTrack = cms.bool(True)
|
157 |
|
|
allLayer1CaloTausForTauAnalyses.embedSignalTracks = cms.bool(True)
|
158 |
|
|
allLayer1CaloTausForTauAnalyses.embedIsolationTracks = cms.bool(True)
|
159 |
|
|
|
160 |
|
|
allLayer1CaloTausForTauAnalyses.isolation = cms.PSet()
|
161 |
|
|
allLayer1CaloTausForTauAnalyses.isoDeposits = cms.PSet()
|
162 |
|
|
|
163 |
|
|
allLayer1CaloTausForTauAnalyses.addTauID = cms.bool(True)
|
164 |
|
|
allLayer1CaloTausForTauAnalyses.tauIDSources = cms.PSet(
|
165 |
|
|
byIsolation = cms.InputTag("patCaloRecoTauDiscriminationByIsolationForTauAnalyses"),
|
166 |
|
|
leadingTrackFinding = cms.InputTag("patCaloRecoTauDiscriminationByLeadingTrackFindingForTauAnalyses"),
|
167 |
|
|
leadingTrackPtCut = cms.InputTag("patCaloRecoTauDiscriminationByLeadingTrackPtCutForTauAnalyses"),
|
168 |
|
|
)
|
169 |
|
|
|
170 |
|
|
allLayer1CaloTausForTauAnalyses.addTrigMatch = cms.bool(False)
|
171 |
|
|
#trigPrimMatch = cms.VInputTag(cms.InputTag("tauTrigMatchHLT1Tau"))
|
172 |
|
|
|
173 |
|
|
allLayer1CaloTausForTauAnalyses.addGenMatch = cms.bool(True)
|
174 |
|
|
allLayer1CaloTausForTauAnalyses.embedGenMatch = cms.bool(True)
|
175 |
|
|
allLayer1CaloTausForTauAnalyses.genParticleMatch = cms.InputTag("caloTauMatchForTauAnalyses")
|
176 |
|
|
|
177 |
|
|
allLayer1CaloTausForTauAnalyses.addGenJetMatch = cms.bool(True)
|
178 |
|
|
allLayer1CaloTausForTauAnalyses.embedGenJetMatch = cms.bool(True)
|
179 |
|
|
|
180 |
|
|
allLayer1CaloTausForTauAnalyses.genJetMatch = cms.InputTag("caloTauGenJetMatchForTauAnalyses")
|
181 |
|
|
|
182 |
|
|
|
183 |
|
|
######################################################################################
|
184 |
|
|
#### Final PAT sequences
|
185 |
|
|
######################################################################################
|
186 |
|
|
|
187 |
|
|
patBeforeLayer0AODCaloTauDiscrimination = cms.Sequence( caloRecoTauProducerForTauAnalyses
|
188 |
|
|
*caloRecoTauPreDiscriminationForTauAnalyses
|
189 |
|
|
)
|
190 |
|
|
|
191 |
|
|
patLayer0CaloTausForTauAnalyses = cms.Sequence( patBeforeLayer0AODCaloTauDiscrimination
|
192 |
|
|
*allLayer0CaloTausForTauAnalyses
|
193 |
|
|
*patCaloTauDiscriminationForTauAnalyses
|
194 |
|
|
*(caloTauMatchForTauAnalyses+caloTauGenJetMatchForTauAnalyses)
|
195 |
|
|
)
|
196 |
|
|
patLayer1CaloTausForTauAnalyses = cms.Sequence( allLayer1CaloTausForTauAnalyses )
|