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

ATLAS Collaboration,

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

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ATLAS Collaboration,
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

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Citation

ATLAS Collaboration (2022). 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, 3. Retrieved from https://publications.mppmu.mpg.de/?action=search&mpi=MPP-2021-21.

Cite as: https://hdl.handle.net/21.11116/0000-000C-B5A9-9

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.