Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events


Aad, G ORCID: 0000-0002-6665-4934, Abbott, B ORCID: 0000-0002-5888-2734, Abbott, DC ORCID: 0000-0002-7248-3203, Abud, AA ORCID: 0000-0002-2788-3822, Abeling, K ORCID: 0000-0002-1002-1652, Abhayasinghe, DK ORCID: 0000-0002-2987-4006, Abidi, SH ORCID: 0000-0002-8496-9294, AbouZeid, OS ORCID: 0000-0002-8279-9324, Abraham, NL, Abramowicz, H ORCID: 0000-0001-5329-6640 et al (show 90 more authors) (2022) Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events Computing and Software for Big Science, 6 (1). 3-. ISSN 2510-2036, 2510-2044

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Abstract

The accurate simulation of additional interactions at the ATLAS experiment for the analysis of proton–proton collisions delivered by the Large Hadron Collider presents a significant challenge to the computing resources. During the LHC Run 2 (2015–2018), there were up to 70 inelastic interactions per bunch crossing, which need to be accounted for in Monte Carlo (MC) production. In this document, a new method to account for these additional interactions in the simulation chain is described. Instead of sampling the inelastic interactions and adding their energy deposits to a hard-scatter interaction one-by-one, the inelastic interactions are presampled, independent of the hard scatter, and stored as combined events. Consequently, for each hard-scatter interaction, only one such presampled event needs to be added as part of the simulation chain. For the Run 2 simulation chain, with an average of 35 interactions per bunch crossing, this new method provides a substantial reduction in MC production CPU needs of around 20%, while reproducing the properties of the reconstructed quantities relevant for physics analyses with good accuracy.

Item Type: Article
Additional Information: 52 pages in total, author list starting page 33, 18 figures, 0 tables, published by Computing and Software for Big Science. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SIMU-2020-01/
Uncontrolled Keywords: hep-ex, hep-ex
Divisions: Faculty of Science & Engineering > School of Physical Sciences
Depositing User: Symplectic Admin
Date Deposited: 02 Feb 2022 15:58
Last Modified: 22 May 2026 22:57
DOI: 10.1007/s41781-021-00062-2
Open Access URL: https://link.springer.com/article/10.1007/s41781-0...
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3148034
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