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

59 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
CEA-DRF
Czech Republic
DNSRCIN2P3-CNRS
EU-ESF
IRFU
MES of Russia
MIZŠ
MNE
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)
Horizon 2020 Framework Programme678215
Horizon 2020 Framework Programme
H2020 Marie Skłodowska-Curie Actions
Multiple Sclerosis Scientific Research Foundation
CERN
Kanton Bern
Azərbaycan Milli Elmlər Akademiyası
Natural Sciences and Engineering Research Council of Canada
National Research Council Canada
Canada Foundation for Innovation
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
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
German-Israeli Foundation for Scientific Research and Development
Fundação de Amparo à Pesquisa do Estado de São Paulo
National Natural Science Foundation of China
Ministerstvo Školství, Mládeže a Tělovýchovy
Fundação para a Ciência e a Tecnologia
Bundesministerium für Bildung und Forschung
Chinese Academy of Sciences
Austrian Science Fund
Generalitat de Catalunya
Comisión Nacional de Investigación Científica y Tecnológica
Agencia Nacional de Promoción Científica y Tecnológica
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministerio de Economía y Competitividad
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
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
Ministerstwo Edukacji i Nauki
Ministry of Science and Technology, Taiwan
Centre National pour la Recherche Scientifique et Technique
Staatssekretariat für Bildung, Forschung und Innovation
British Columbia Knowledge Development Fund
European Regional Development Fund
Council on grants of the President of the Russian Federation
National Research Center "Kurchatov Institute"
Institutul de Fizică Atomică

    Fingerprint

    Dive into the research topics of 'Measurement of the photon identification efficiencies with the ATLAS detector using LHC Run 2 data collected in 2015 and 2016'. Together they form a unique fingerprint.

    Cite this