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Software Performance of the ATLAS Track Reconstruction for LHC Run 3

Aad, G. ; Åkesson, T.P.A. LU orcid ; Doglioni, C. LU ; Ekman, P.A. LU ; Hedberg, V. LU ; Herde, H. LU orcid ; Konya, B. LU ; Lytken, E. LU orcid ; Poettgen, R. LU orcid and Simpson, N.D. LU , et al. (2024) In Computing and Software for Big Science 8(1).
Abstract
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 60pp collisions per bunch crossing, the updated... (More)
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 60pp 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. © The Author(s) 2024. (Less)
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publishing date
type
Contribution to journal
publication status
published
subject
in
Computing and Software for Big Science
volume
8
issue
1
article number
9
publisher
Springer
external identifiers
  • scopus:85189516943
ISSN
2510-2044
DOI
10.1007/s41781-023-00111-y
language
English
LU publication?
yes
id
bc50b7b8-4a92-483f-b5b7-e0105ba3f3f8
date added to LUP
2024-04-18 11:09:26
date last changed
2024-04-18 11:09:26
@article{bc50b7b8-4a92-483f-b5b7-e0105ba3f3f8,
  abstract     = {{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 60pp 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. © The Author(s) 2024.}},
  author       = {{Aad, G. and Åkesson, T.P.A. and Doglioni, C. and Ekman, P.A. and Hedberg, V. and Herde, H. and Konya, B. and Lytken, E. and Poettgen, R. and Simpson, N.D. and Smirnova, O. and Zwalinski, L.}},
  issn         = {{2510-2044}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Springer}},
  series       = {{Computing and Software for Big Science}},
  title        = {{Software Performance of the ATLAS Track Reconstruction for LHC Run 3}},
  url          = {{http://dx.doi.org/10.1007/s41781-023-00111-y}},
  doi          = {{10.1007/s41781-023-00111-y}},
  volume       = {{8}},
  year         = {{2024}},
}