Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s=13 TeV

ATLAS Collaboration

Research output: Contribution to journalArticlepeer-review

153 Scopus citations

Abstract

Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton–proton collision data produced by the LHC at s = 13 TeV. The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z→ ee and J/ ψ→ ee decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown.

Original languageEnglish
Article number639
JournalEuropean Physical Journal C
Volume79
Issue number8
DOIs
StatePublished - 1 Aug 2019

Funding

FundersFunder number
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
BSF-NSF
Agence Nationale de la Recherche
Australian Research Council
Centre National pour la Recherche Scientifique et Technique
Fundação para a Ciência e a Tecnologia
Comisión Nacional de Investigación Científica y Tecnológica
Narodowe Centrum Nauki
National Science Foundation
CEA-DRF
Japan Society for the Promotion of Science
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministry of Science and Technology, Taiwan
Israel Science Foundation
Wallenberg Foundation
Leverhulme Trust
Horizon 2020, and Marie Skłodowska-Curie Actions
Arizona-Nevada Academy of Science
Javna Agencija za Raziskovalno Dejavnost RS
Generalitat de Catalunya
Instituto Nazionale di Fisica Nucleare
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
Austrian Science Fund
Department of Science and Technology, Ministry of Science and Technology, India
MSMT
MSSR
Ministerio de Economía y Competitividad
Bundesministerium für Bildung und Forschung
Canada Foundation for Innovation
Helmholtz-Gemeinschaft
Danmarks Grundforskningsfond
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Czech Republic
Singapore Eye Research Institute
MIZŠ
Deutsche Forschungsgemeinschaft
Neurosurgical Research Foundation
MESTD
U.S. Department of Energy
European Cooperation in Science and Technology
EU-ESF
RGC
Fundação de Amparo à Pesquisa do Estado de São Paulo
MES of Russia
National Research Center "Kurchatov Institute"
Institutul de Fizică Atomică
Natural Sciences and Engineering Research Council of Canada
General Secretariat for Research and Technology
Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
Cantons of Bern and Geneva
Chinese Academy of Sciences
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
VSC CR
Glycemic Index Foundation
MNE
Agencia Nacional de Promoción Científica y Tecnológica
Royal Society
European Research Council
European Regional Development Fund
Ministerstwo Nauki i Szkolnictwa Wyższego
IRFU
CERN
Joint Institute for Nuclear Research
National Research Council Canada
Alexander von Humboldt-Stiftung
Council on grants of the President of the Russian Federation
British Columbia Knowledge Development Fund
Ministry of Education, Culture, Sports, Science and Technology
National Natural Science Foundation of China
Not addedST/L006162/1, ST/N000307/1, ST/N000331/1, GRIDPP
Not added715871
DNSRCIN2P3-CNRS

    Fingerprint

    Dive into the research topics of 'Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s=13 TeV'. Together they form a unique fingerprint.

    Cite this