Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/126340
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Type: Journal article
Title: Performance of electron and photon triggers in ATLAS during LHC Run 2
Author: Aad, G.
Abbott, B.
Abbott, D.C.
Abud, A.A.
Abeling, K.
Abhayasinghe, D.K.
Abidi, S.H.
AbouZeid, O.S.
Abraham, N.L.
Abramowicz, H.
Abreu, H.
Abulaiti, Y.
Acharya, B.S.
Achkar, B.
Adachi, S.
Adam, L.
Bourdarios, C.A.
Adamczyk, L.
Adamek, L.
Adelman, J.
et al.
Citation: European Physical Journal C: Particles and Fields, 2020; 80(1):47-1-47-41
Publisher: Springer Nature
Issue Date: 2020
ISSN: 1434-6044
1434-6052
Statement of
Responsibility: 
G. Aad … A. Duvnjak … P. Jackson … J.L. Oliver … A. Petridis … A. Qureshi … A.S. Sharma … M.J. White … et al. [The ATLAS Collaboration]
Abstract: Electron and photon triggers covering transverse energies from 5 GeV to several TeV are essential for the ATLAS experiment to record signals for a wide variety of physics: from Standard Model processes to searches for new phenomena in both proton–proton and heavy-ion collisions. To cope with a fourfold increase of peak LHC luminosity from 2015 to 2018 (Run 2), to 2.1 × 10³⁴ cm⁻² s⁻¹, and a similar increase in the number of interactions per beam-crossing to about 60, trigger algorithms and selections were optimised to control the rates while retaining a high efficiency for physics analyses. For proton–proton collisions, the single-electron trigger efficiency relative to a single-electron offline selection is at least 75% for an offline electron of 31 GeV , and rises to 96% at 60 GeV ; the trigger efficiency of a 25 GeV leg of the primary diphoton trigger relative to a tight offline photon selection is more than 96% for an offline photon of 30 GeV . For heavy-ion collisions, the primary electron and photon trigger efficiencies relative to the corresponding standard offline selections are at least 84% and 95%, respectively, at 5 GeV above the corresponding trigger threshold.
Rights: © CERN for the benefit of the ATLAS collaboration 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecomm ons.org/licenses/by/4.0/. Funded by SCOAP³.
DOI: 10.1140/epjc/s10052-019-7500-2
Grant ID: ARC
Published version: http://dx.doi.org/10.1140/epjc/s10052-019-7500-2
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