Jet energy scale and resolution measured in proton–proton collisions at √s=13 TeV with the ATLAS detector

ATLAS Collaboration

Research output: Contribution to journalArticlepeer-review

Abstract

Jet energy scale and resolution measurements with their associated uncertainties are reported for jets using 36–81 fb- 1 of proton–proton collision data with a centre-of-mass energy of s=13 TeV collected by the ATLAS detector at the LHC. Jets are reconstructed using two different input types: topo-clusters formed from energy deposits in calorimeter cells, as well as an algorithmic combination of charged-particle tracks with those topo-clusters, referred to as the ATLAS particle-flow reconstruction method. The anti-kt jet algorithm with radius parameter R= 0.4 is the primary jet definition used for both jet types. This result presents new jet energy scale and resolution measurements in the high pile-up conditions of late LHC Run 2 as well as a full calibration of particle-flow jets in ATLAS. Jets are initially calibrated using a sequence of simulation-based corrections. Next, several in situ techniques are employed to correct for differences between data and simulation and to measure the resolution of jets. The systematic uncertainties in the jet energy scale for central jets (| η| < 1.2) vary from 1% for a wide range of high-pT jets (250<pT<2000GeV), to 5% at very low pT (20GeV) and 3.5% at very high pT (>2.5TeV). The relative jet energy resolution is measured and ranges from (24 ± 1.5)% at 20 GeV to (6 ± 0.5)% at 300 GeV.

Original languageEnglish
Article number689
JournalEuropean Physical Journal C
Volume81
Issue number8
DOIs
StatePublished - Aug 2021

Funding

FundersFunder number
ANID
BSF-NSF
CEA-DRF
Cantons of Bern and Geneva
Czech Republic
DNSRCIN2P3-CNRS
EU-ESF
GenT Programmes Generalitat Valenciana, Spain
IRFU
La Caixa Banking Foundation
MES of Russia
MESTD
MIZŠ
MSMT
MSSR
PROMETEO
RGC
VSC CR
Wallenberg Foundation
National Science Foundation
U.S. Department of Energy
Alexander von Humboldt-Stiftung
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
Canarie
Horizon 2020 Framework Programme679305
Horizon 2020 Framework Programme
H2020 Marie Skłodowska-Curie Actions
Arizona-Nevada Academy of Science
CERN
Glycemic Index Foundation
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
Department of Science and Technology, Ministry of Science and Technology, India
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
General Secretariat for Research and Technology
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
Beijing Municipal Science and Technology Commission
Council on grants of the President of the Russian Federation
National Research Center "Kurchatov Institute"
Institut de Valorisation des Données

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