Aad, G, Abbott, B, Abbott, D C, Allbrooke, B, Aparo, M, Asquith, L, Cerri, A, De Santo, A, Evans, M, Grandi, M, Kock, D M, Mcfayden, J, Salvatore, F, Sutton, M, Vivarelli, I, Xiotidis, I, ATLAS Collaboration, and others, (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 (3). pp. 1-35. ISSN 2510-2036

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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
Schools and Departments:	School of Mathematical and Physical Sciences > Physics and Astronomy
SWORD Depositor:	Mx Elements Account
Depositing User:	Mx Elements Account
Date Deposited:	24 Jan 2023 11:22
Last Modified:	24 Jan 2023 11:30
URI:	http://sro.sussex.ac.uk/id/eprint/110250

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