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Article: Improving topological cluster reconstruction using calorimeter cell timing in ATLAS

TitleImproving topological cluster reconstruction using calorimeter cell timing in ATLAS
Authors
Issue Date3-May-2024
PublisherSpringerOpen
Citation
The European Physical Journal C, 2024, v. 84, n. 5, p. 1-42 How to Cite?
Abstract

Clusters of topologically connected calorimeter cells around cells with large absolute signal-to-noise ratio (topo-clusters) are the basis for calorimeter signal reconstruction in the ATLAS experiment. Topological cell clustering has proven performant in LHC Runs 1 and 2. It is, however, susceptible to out-of-time pile-up of signals from soft collisions outside the 25 ns proton-bunch-crossing window associated with the event’s hard collision. To reduce this effect, a calorimeter-cell timing criterion was added to the signal-to-noise ratio requirement in the clustering algorithm. Multiple versions of this criterion were tested by reconstructing hadronic signals in simulated events and Run 2 ATLAS data. The preferred version is found to reduce the out-of-time pile-up jet multiplicity by ∼50% for jet �T∼20 GeV and by ∼80% for jet �T≳50 GeV, while not disrupting the reconstruction of hadronic signals of interest, and improving the jet energy resolution by up to 5% for 20<�T<30 GeV. Pile-up is also suppressed for other physics objects based on topo-clusters (electrons, photons, �-leptons), reducing the overall event size on disk by about 6% in early Run 3 pile-up conditions. Offline reconstruction for Run 3 includes the timing requirement.


Persistent Identifierhttp://hdl.handle.net/10722/348465
ISSN
2023 Impact Factor: 4.2
2023 SCImago Journal Rankings: 1.451
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTu, Yanjun-
dc.contributor.authorHUANG, Shuhui-
dc.contributor.authorPizzimento, Luca-
dc.contributor.authorParedes Hernandez, Daniela Katherinne-
dc.contributor.authorTam, Kai Chung-
dc.contributor.authorATLAS Collaboration-
dc.date.accessioned2024-10-09T00:31:40Z-
dc.date.available2024-10-09T00:31:40Z-
dc.date.issued2024-05-03-
dc.identifier.citationThe European Physical Journal C, 2024, v. 84, n. 5, p. 1-42-
dc.identifier.issn1434-6044-
dc.identifier.urihttp://hdl.handle.net/10722/348465-
dc.description.abstract<p>Clusters of topologically connected calorimeter cells around cells with large absolute signal-to-noise ratio (<em>topo-clusters</em>) are the basis for calorimeter signal reconstruction in the ATLAS experiment. Topological cell clustering has proven performant in LHC Runs 1 and 2. It is, however, susceptible to <em>out-of-time pile-up</em> of signals from soft collisions outside the 25 ns proton-bunch-crossing window associated with the event’s hard collision. To reduce this effect, a calorimeter-cell timing criterion was added to the signal-to-noise ratio requirement in the clustering algorithm. Multiple versions of this criterion were tested by reconstructing hadronic signals in simulated events and Run 2 ATLAS data. The preferred version is found to reduce the out-of-time pile-up jet multiplicity by ∼50% for jet �T∼20 GeV and by ∼80% for jet �T≳50 GeV, while not disrupting the reconstruction of hadronic signals of interest, and improving the jet energy resolution by up to 5% for 20<�T<30 GeV. Pile-up is also suppressed for other physics objects based on topo-clusters (electrons, photons, �-leptons), reducing the overall event size on disk by about 6% in early Run 3 pile-up conditions. Offline reconstruction for Run 3 includes the timing requirement.<br></p>-
dc.languageeng-
dc.publisherSpringerOpen-
dc.relation.ispartofThe European Physical Journal C-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleImproving topological cluster reconstruction using calorimeter cell timing in ATLAS-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1140/epjc/s10052-024-12657-1-
dc.identifier.scopuseid_2-s2.0-85202167240-
dc.identifier.volume84-
dc.identifier.issue5-
dc.identifier.spage1-
dc.identifier.epage42-
dc.identifier.eissn1434-6052-
dc.identifier.isiWOS:001281877300001-
dc.identifier.issnl1434-6044-

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