Improving Jet Substructure Performance in ATLAS with Unified Tracking and Calorimeter InputsConnecting The Dots 2018
Roland Jansky, University of Geneva
21st March 2018
Motivation for TrackCaloClusters (1/3)
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ATL-PHYS-PUB-2017-015
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Motivation for TrackCaloClusters (3/3)
W’(1 TeV) WZqqqq
ATL-PHYS-PUB-2017-015
Idea of TrackCaloClusters
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σ𝑡𝑟𝑎𝑐𝑘• σ𝑐𝑙𝑢𝑠𝑡𝑒𝑟• σ𝑡𝑟𝑎𝑐𝑘 σ𝑐𝑙𝑢𝑠𝑡𝑒𝑟
• Δ𝑅 < σ𝑡𝑟𝑎𝑐𝑘2 + σ𝑐𝑙𝑢𝑠𝑡𝑒𝑟
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• 𝜂 𝜙•
“And Then There Were Jets”
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𝑅 𝑓𝑐𝑢𝑡𝑅𝑠𝑢𝑏
Topo-clusterAnti-kt 𝑹=1.0 Jet (untrimmed)
kt 𝑹=0.2, 𝒇𝒄𝒖𝒕>5% sub-jets
“And Then There Were Jets”
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𝑅 𝑓𝑐𝑢𝑡𝑅𝑠𝑢𝑏
Topo-clusterAnti-kt 𝑹=1.0 Jet (untrimmed)
kt 𝑹=0.2, 𝒇𝒄𝒖𝒕>5% sub-jets
“And Then There Were Jets”
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𝑅 𝑓𝑐𝑢𝑡𝑅𝑠𝑢𝑏
Combined TCCCharged TCCNeutral TCCAnti-kt 𝑹=1.0 Jet (untrimmed)
kt 𝑹=0.2, 𝒇𝒄𝒖𝒕>5% sub-jets
“And Then There Were Jets”
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𝑅 𝑓𝑐𝑢𝑡𝑅𝑠𝑢𝑏
Combined TCCCharged TCCNeutral TCCAnti-kt 𝑹=1.0 Jet (untrimmed)
kt 𝑹=0.2, 𝒇𝒄𝒖𝒕>5% sub-jets
Mass Performance (1/2)
• ℛ𝑟 = 𝑚reco/𝑚true
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0.7 TeV < pT,jet < 0.8 TeV 2.1 TeV < pT,jet < 2.5 TeV
TCCLCTopo
Mass Performance (2/2)
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IQR𝑟 =1
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𝑄75 ℛ𝑟 −𝑄25 ℛ𝑟
𝑄50 ℛ𝑟 𝑄𝑥 𝑥
0.7 TeV < pT,jet < 0.8 TeV
LCTopoTCC
LCTopo
TCC
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D2 Performance (1/2)
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• ℛ𝑑 = 𝐷2reco − 𝐷2
true
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0.7 TeV < pT,jet < 0.8 TeV 2.1 TeV < pT,jet < 2.5 TeV
TCC
LCTopoTCC LCTopo
D2 Performance (2/2)
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IQR𝑑 =1
2𝑄75 ℛ𝑑 − 𝑄25 ℛ𝑑 𝑄𝑥 𝑥
0.7 TeV < pT,jet < 0.8 TeV
LCTopoTCC
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2LCTopo
TCC
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