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Software Performance of the ATLAS Track Reconstruction for LHC Run 3
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Software Performance of the ATLAS Track Reconstruction for LHC Run 3

Georges Aad, Braden Keim Abbott, Kira Abeling, Nils Julius Abicht, Haider Abidi, Asmaa Aboulhorma, Halina Abramowicz, Henso Abreu, Yiming Abulaiti, Bobby Samir Acharya, …
Deutsches Elektronen-Synchrotron, DESY, Hamburg
2023
DOI: https://doi.org/10.3204/pubdb-2023-07873

摘要

ATLAS: performance CERN LHC Coll charged particle: particle identification crossing data analysis method numerical calculations: Monte Carlo p p: interaction p p: scattering particle identification: efficiency pile-up programming track data analysis tracks
Charged particle reconstruction in the presence of many simultaneous proton-proton $pp$ collisions in the LHC is a challenging task for the ATLAS experiment's reconstruction software due to the combinatorial complexity. This paper describes the major changes made to adapt the software to reconstruct high-activity collisions with an average of 50 or more simultaneous $pp$ interactions per bunch crossing (pile-up) promptly using the available computing resources. The performance of the key components of the track reconstruction chain and its dependence on pile-up are evaluated, and the improvement achieved compared to the previous software version is quantified. For events with an average of 60 $pp$ collisions per bunch crossing, the updated track reconstruction is twice as fast as the previous version, without significant reduction in reconstruction efficiency and while reducing the rate of combinatorial fake tracks by more than a factor two.

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