Configuration and performance of the ATLAS b-jet triggers in Run 2

ATLAS Collaboration, ATLAS Collaboration

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Several improvements to the ATLAS triggers used to identify jets containing b-hadrons (b-jets) were implemented for data-taking during Run 2 of the Large Hadron Collider from 2016 to 2018. These changes include reconfiguring the b-jet trigger software to improve primary-vertex finding and allow more stable running in conditions with high pile-up, and the implementation of the functionality needed to run sophisticated taggers used by the offline reconstruction in an online environment. These improvements yielded an order of magnitude better light-flavour jet rejection for the same b-jet identification efficiency compared to the performance in Run 1 (2011–2012). The efficiency to identify b-jets in the trigger, and the conditional efficiency for b-jets that satisfy offline b-tagging requirements to pass the trigger are also measured. Correction factors are derived to calibrate the b-tagging efficiency in simulation to match that observed in data. The associated systematic uncertainties are substantially smaller than in previous measurements. In addition, b-jet triggers were operated for the first time during heavy-ion data-taking, using dedicated triggers that were developed to identify semileptonic b-hadron decays by selecting events with geometrically overlapping muons and jets.

Original languageEnglish
Article number1087
JournalEuropean Physical Journal C
Volume81
Issue number12
DOIs
StatePublished - Dec 2021

Funding

FundersFunder number
ANID
BSF-NSF
CEA-DRF
Cantons of Bern and Geneva
Czech Republic
DNSRCIN2P3-CNRS
EU-ESF
GIF, Israel
GenT Programmes Generalitat Valenciana, Spain
IRFU
La Caixa Banking Foundation
MES of Russia
MESTD
MIZŠ
MSMT
MSSR
Norwegian Financial Mechanism 2014-2021
PROMETEO
RGC
VSC CR
Wallenberg Foundation
National Science Foundation
U.S. Department of Energy
Alexander von Humboldt-Stiftung
Canarie
H2020 Marie Skłodowska-Curie Actions
Arizona-Nevada Academy of Science
CERN
Compute Canada
Göran Gustafssons Stiftelser
Natural Sciences and Engineering Research Council of Canada
National Research Council Canada
Canada Foundation for Innovation
Science and Technology Facilities Council
Leverhulme Trust
Royal Society
European Research Council
European Cooperation in Science and Technology
Australian Research Council
Neurosurgical Research Foundation
Singapore Eye Research Institute
Helmholtz-Gemeinschaft
Deutsche Forschungsgemeinschaft
Agence Nationale de la Recherche
Japan Society for the Promotion of Science
Ministry of Education, Culture, Sports, Science and Technology
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Danmarks Grundforskningsfond
Fundação de Amparo à Pesquisa do Estado de São Paulo
National Natural Science Foundation of China
Fundação para a Ciência e a Tecnologia
Bundesministerium für Bildung und Forschung
Chinese Academy of Sciences
Austrian Science Fund
Generalitat de Catalunya
Agencia Nacional de Promoción Científica y Tecnológica
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Joint Institute for Nuclear Research
Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
Israel Science Foundation
Instituto Nazionale di Fisica Nucleare
Narodowe Centrum Nauki
Javna Agencija za Raziskovalno Dejavnost RS
Ministerstwo Edukacji i Nauki
Ministry of Science and Technology, Taiwan
Ministerio de Ciencia e Innovación
Centre National pour la Recherche Scientifique et Technique
Horizon 2020
British Columbia Knowledge Development Fund
European Regional Development Fund
Defence Science Institute
Council on grants of the President of the Russian Federation
National Research Center "Kurchatov Institute"

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