Improving topological cluster reconstruction using calorimeter cell timing in ATLAS

ATLAS Collaboration

Research output: Contribution to journalArticlepeer-review

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 pT∼20 GeV and by ∼80% for jet pT≳50 GeV, while not disrupting the reconstruction of hadronic signals of interest, and improving the jet energy resolution by up to 5% for 20<pT<30 GeV. Pile-up is also suppressed for other physics objects based on topo-clusters (electrons, photons, τ-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.

Original languageEnglish
Article number455
JournalEuropean Physical Journal C
Volume84
Issue number5
DOIs
StatePublished - May 2024

Funding

FundersFunder number
BSF-NSF
Agence Nationale de la Recherche
Australian Research Council
La Caixa Banking Foundation
Centre National pour la Recherche Scientifique et Technique
Fundação para a Ciência e a Tecnologia
Narodowe Centrum Nauki
National Science Foundation
Norwegian Financial Mechanism
CEA-DRF
Science and Technology Facilities Council
Horizon 2020, ICSC-NextGenerationEU
H2020 Marie Skłodowska-Curie Actions
Japan Society for the Promotion of Science
INFN-CNAF
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministerio de Ciencia e Innovación
Ministry of Science and Technology, Taiwan
Israel Science Foundation
Wallenberg Foundation
Leverhulme Trust
PROMETEO
Staatssekretariat für Bildung, Forschung und Innovation
Javna Agencija za Raziskovalno Dejavnost RS
Generalitat de Catalunya
Instituto Nazionale di Fisica Nucleare
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
Austrian Science Fund
Narodowa Agencja Wymiany Akademickiej
Agencia Nacional de Investigación y Desarrollo
Bundesministerium für Bildung und Forschung
Canada Foundation for Innovation
Helmholtz-Gemeinschaft
Danmarks Grundforskningsfond
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Karlsruhe Institute of Technology
Canarie
GridKA
Göran Gustafssons Stiftelser
MIZŠ
Deutsche Forschungsgemeinschaft
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
U.S. Department of Energy
European Cooperation in Science and Technology
EU-ESF
RGC
Fundação de Amparo à Pesquisa do Estado de São Paulo
Institutul de Fizică Atomică
Natural Sciences and Engineering Research Council of Canada
Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
GenT Programmes Generalitat Valenciana, Spain
Irish Rugby Football Union
Cantons of Bern and Geneva
Chinese Academy of Sciences
Defence Science Institute
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
CRC Health Group
MNE
Agencia Nacional de Promoción Científica y Tecnológica
Royal Society
Minerva Foundation
European Research Council
National Research Foundation
European Regional Development Fund
CERN
Ministerstvo Školství, Mládeže a Tělovýchovy
National Research Council Canada
Brookhaven National Laboratory
Alexander von Humboldt-Stiftung
Multiple Sclerosis Scientific Research Foundation
British Columbia Knowledge Development Fund
Ministry of Education, Culture, Sports, Science and Technology
National Natural Science Foundation of China
DNSRCIN2P3-CNRS
DRAC21/SCI/017
UNCESCI/013
NDGFCC-IN2P3

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