Emulating the impact of additional proton-proton interactions in the ATLAS simulation by pre-sampling sets of inelastic Monte Carlo events

Collaboration, ATLAS (2021) Emulating the impact of additional proton-proton interactions in the ATLAS simulation by pre-sampling sets of inelastic Monte Carlo events. Comput Softw Big Sci, 6 (1). 3-.

Access the full-text of this item by clicking on the Open Access link.

Text
2102.09495v1.pdf - Submitted version
Download (1MB) | Preview

Official URL: http://dx.doi.org/10.1007/s41781-021-00062-2

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 (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 and Engineering > School of Physical Sciences
Depositing User:	Symplectic Admin
Date Deposited:	02 Feb 2022 15:58
Last Modified:	18 Jan 2023 21:14
DOI:	10.1007/s41781-021-00062-2
Open Access URL:	https://link.springer.com/article/10.1007/s41781-0...
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3148034