s41781-021-00062-2.pdf (4.22 MB)
Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events
journal contribution
posted on 2023-06-10, 06:02 authored by G Aad, B Abbott, D C Abbott, Benedict AllbrookeBenedict Allbrooke, Marco AparoMarco Aparo, Lily AsquithLily Asquith, Alessandro CerriAlessandro Cerri, Antonella De SantoAntonella De Santo, Meirin Oan Evans, Mario Grandi, Daniela Maria Köck, Josh McFaydenJosh McFayden, Fabrizio SalvatoreFabrizio Salvatore, Mark SuttonMark Sutton, Iacopo Vivarelli, Ioannis Xiotidis, ATLAS Collaboration, othersThe 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.
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Publication status
- Published
File Version
- Published version
Journal
Computing and Software for Big ScienceISSN
2510-2036Publisher
Springer Science and Business Media LLCExternal DOI
Issue
3Volume
6Page range
1-35Department affiliated with
- Physics and Astronomy Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2023-01-24First Open Access (FOA) Date
2023-01-24First Compliant Deposit (FCD) Date
2023-01-24Usage metrics
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