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PhysicsAnalysis
JetTagging
FlavorTagInference
python
FoldDecoratorConfig.py
Go to the documentation of this file.
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# Copyright (C) 2002-2024 CERN for the benefit of the ATLAS collaboration
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from
AthenaConfiguration.ComponentAccumulator
import
ComponentAccumulator
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from
AthenaConfiguration.ComponentFactory
import
CompFactory
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import
json
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def
FoldDecoratorCfg
(flags, jetCollection='AntiKt4EMPFlowJets', prefix=''):
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ca = ComponentAccumulator()
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evt_id =
'mcEventNumber'
if
flags.Input.isMC
else
'eventNumber'
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common = dict(
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eventID=f
'EventInfo.{evt_id}'
,
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salt=42,
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jetCollection=jetCollection,
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associations=[
'constituentLinks'
,
'GhostTrack'
],
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jetVariableSaltSeeds={
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'constituentLinks'
: 0,
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'GhostTrack'
: 1,
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},
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)
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# original folding algorithm, used for GN2v01 right now
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ca.addEventAlgo(
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CompFactory.FlavorTagInference.FoldDecoratorAlg(
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f
'{prefix}FoldHashWithHits{jetCollection}'
,
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**common,
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constituentChars=json.dumps({
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'GhostTrack'
: [
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'numberOfPixelHits'
,
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'numberOfSCTHits'
,
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]
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}),
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constituentSaltSeeds={
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'numberOfPixelHits'
: 2,
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'numberOfSCTHits'
: 3,
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},
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jetFoldHash=f
'{prefix}jetFoldHash'
,
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)
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)
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# simpler version, doesn't seem as random though
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ca.addEventAlgo(
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CompFactory.FlavorTagInference.FoldDecoratorAlg(
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f
'{prefix}FoldHashWithoutHits{jetCollection}'
,
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**common,
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jetFoldHash=f
'{prefix}jetFoldHash_noHits'
,
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)
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)
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# version using jetRank, which should be unique for each jet in
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# the event
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ca.addEventAlgo(
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CompFactory.FlavorTagInference.FoldDecoratorAlg(
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f
'{prefix}FoldHashJetRank{jetCollection}'
,
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eventID=f
'EventInfo.{evt_id}'
,
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salt=42,
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jetCollection=jetCollection,
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ints=[
'jetRank'
],
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jetVariableSaltSeeds={
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'jetRank'
: 137,
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},
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jetFoldHash=f
'{prefix}jetFoldRankHash'
,
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)
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)
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return
ca
FoldDecoratorConfig.FoldDecoratorCfg
FoldDecoratorCfg(flags, jetCollection='AntiKt4EMPFlowJets', prefix='')
Definition
FoldDecoratorConfig.py:7
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for ATLAS Offline Software by
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