Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/129600
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Type: Journal article
Title: Operation of the ATLAS trigger system in 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.
Adam, L.
Bourdarios, C.A.
Adamczyk, L.
Adamek, L.
Adelman, J.
Adersberger, M.
et al.
Citation: Journal of Instrumentation, 2020; 15(10):P1004-[i]1-P1004-57
Publisher: IOP Publishing
Issue Date: 2020
ISSN: 1748-0221
1748-0221
Statement of
Responsibility: 
G. Aad … D. Duvnjak … P. Jackson … A.X.Y. Kong … J.L. Oliver … A. Petridis … A.S. Sharma … M.J. White … et al. [The ATLAS Collaboration]
Abstract: The ATLAS experiment at the Large Hadron Collider employs a two-level trigger system to record data at an average rate of 1 kHz from physics collisions, starting from an initial bunch crossing rate of 40 MHz. During the LHC Run 2 (2015–2018), the ATLAS trigger system operated successfully with excellent performance and flexibility by adapting to the various run conditions encountered and has been vital for the ATLAS Run-2 physics programme. For proton-proton running, approximately 1500 individual event selections were included in a trigger menu which specified the physics signatures and selection algorithms used for the data-taking, and the allocated event rate and bandwidth. The trigger menu must reflect the physics goals for a given data collection period, taking into account the instantaneous luminosity of the LHC and limitations from the ATLAS detector readout, online processing farm, and offline storage. This document discusses the operation of the ATLAS trigger system during the nominal proton-proton data collection in Run 2 with examples of special data-taking runs. Aspects of software validation, evolution of the trigger selection algorithms during Run 2, monitoring of the trigger system and data quality as well as trigger configuration are presented.
Keywords: Data acquisition concepts; data reduction methods; online farms and online filtering; trigger concepts and systems (hardware and software)
Rights: © 2020 CERN for the benefit of the ATLAS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
DOI: 10.1088/1748-0221/15/10/P10004
Grant ID: ARC
Published version: http://dx.doi.org/10.1088/1748-0221/15/10/P10004
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