Measurement of the photon identification efficiencies with the ATLAS detector using LHC Run 2 data collected in 2015 and 2016

  • ATLAS Collaboration

Research output: Contribution to journalArticlepeer-review

64 Scopus citations

Abstract

The efficiency of the photon identification criteria in the ATLAS detector is measured using 36.1fb1 to 36.7fb1 of pp collision data at s=13 TeV collected in 2015 and 2016. The efficiencies are measured separately for converted and unconverted isolated photons, in four different pseudorapidity regions, for transverse momenta between 10 GeV and 1.5 TeV. The results from the combination of three data-driven techniques are compared with the predictions from simulation after correcting the variables describing the shape of electromagnetic showers in simulation for the average differences observed relative to data. Data-to-simulation efficiency ratios are determined to account for the small residual efficiency differences. These factors are measured with uncertainties between 0.5% and 5% depending on the photon transverse momentum and pseudorapidity. The impact of the isolation criteria on the photon identification efficiency, and that of additional soft pp interactions, are also discussed. The probability of reconstructing an electron as a photon candidate is measured in data, and compared with the predictions from simulation. The efficiency of the reconstruction of photon conversions is measured using a sample of photon candidates from Z→ μμγ events, exploiting the properties of the ratio of the energies deposited in the first and second longitudinal layers of the ATLAS electromagnetic calorimeter.

Original languageEnglish
Article number205
JournalEuropean Physical Journal C
Volume79
Issue number3
DOIs
StatePublished - 1 Mar 2019

Funding

FundersFunder number
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
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
H2020 Marie Skłodowska-Curie Actions
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministry of Science and Technology, Taiwan
Israel Science Foundation
Wallenberg Foundation
Leverhulme Trust
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
Department of Science and Technology, Ministry of Science and Technology, India
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
MIZŠ
Deutsche Forschungsgemeinschaft
Neurosurgical Research Foundation
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
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
German-Israeli Foundation for Scientific Research and Development
Chinese Academy of Sciences
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
VSC CR
MNE
Agencia Nacional de Promoción Científica y Tecnológica
Royal Society
European Research Council
European Regional Development Fund
Ministerstwo Edukacji i Nauki
IRFU
CERN
Joint Institute for Nuclear Research
Ministerstvo Školství, Mládeže a Tělovýchovy
National Research Council Canada
Alexander von Humboldt-Stiftung
Kanton Bern
Multiple Sclerosis Scientific Research Foundation
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
Azərbaycan Milli Elmlər Akademiyası
DNSRCIN2P3-CNRS
Horizon 2020 Framework Programme678215
Science and Technology Facilities CouncilST/P002439/1
Japan Society for the Promotion of Science16H06491

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