Software Performance of the ATLAS Track Reconstruction for LHC Run 3

The ATLAS Collaboration atlas.publications@cern.ch

doi:10.1007/s41781-023-00111-y

Software Performance of the ATLAS Track Reconstruction for LHC Run 3

The ATLAS Collaboration [email protected]

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Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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.

Original language	English
Article number	9
Journal	Computing and Software for Big Science
Volume	8
Issue number	1
DOIs	https://doi.org/10.1007/s41781-023-00111-y
Publication status	Published - Dec 2024

ASJC Scopus subject areas

Software
Computer Science (miscellaneous)
Nuclear and High Energy Physics

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10.1007/s41781-023-00111-y

Cite this

@article{6cfa0c4ddbe2496983937e9b9a12e80f,

title = "Software Performance of the ATLAS Track Reconstruction for LHC Run 3",

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{\textquoteright}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.",

author = "\{The ATLAS Collaboration [email protected]\} and G. Aad and B. Abbott and K. Abeling and Abicht, \{N. J.\} and Abidi, \{S. H.\} and A. Aboulhorma and H. Abramowicz and H. Abreu and Y. Abulaiti and Acharya, \{B. S.\} and Bourdarios, \{C. Adam\} and L. Adamczyk and L. Adamek and Addepalli, \{S. V.\} and Addison, \{M. J.\} and J. Adelman and A. Adiguzel and T. Adye and Affolder, \{A. A.\} and Y. Afik and Agaras, \{M. N.\} and J. Agarwala and A. Aggarwal and C. Agheorghiesei and A. Ahmad and F. Ahmadov and Ahmed, \{W. S.\} and S. Ahuja and X. Ai and G. Aielli and A. Aikot and Tamlihat, \{M. Ait\} and B. Aitbenchikh and I. Aizenberg and M. Akbiyik and {\AA}kesson, \{T. P.A.\} and Akimov, \{A. V.\} and D. Akiyama and Akolkar, \{N. N.\} and Khoury, \{K. Al\} and Alberghi, \{G. L.\} and J. Albert and P. Albicocco and Albouy, \{G. L.\} and S. Alderweireldt and M. Bhamjee and Connell, \{S. H.\} and Gololo, \{M. G.D.\} and N. Govender and L. Truong",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

year = "2024",

month = dec,

doi = "10.1007/s41781-023-00111-y",

language = "English",

volume = "8",

journal = "Computing and Software for Big Science",

issn = "2510-2044",

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TY - JOUR

T1 - Software Performance of the ATLAS Track Reconstruction for LHC Run 3

AU - The ATLAS Collaboration [email protected]

AU - Aad, G.

AU - Abbott, B.

AU - Abeling, K.

AU - Abicht, N. J.

AU - Abidi, S. H.

AU - Aboulhorma, A.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Bourdarios, C. Adam

AU - Adamczyk, L.

AU - Adamek, L.

AU - Addepalli, S. V.

AU - Addison, M. J.

AU - Adelman, J.

AU - Adiguzel, A.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agaras, M. N.

AU - Agarwala, J.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Ahmad, A.

AU - Ahmadov, F.

AU - Ahmed, W. S.

AU - Ahuja, S.

AU - Ai, X.

AU - Aielli, G.

AU - Aikot, A.

AU - Tamlihat, M. Ait

AU - Aitbenchikh, B.

AU - Aizenberg, I.

AU - Akbiyik, M.

AU - Åkesson, T. P.A.

AU - Akimov, A. V.

AU - Akiyama, D.

AU - Akolkar, N. N.

AU - Khoury, K. Al

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Albouy, G. L.

AU - Alderweireldt, S.

AU - Bhamjee, M.

AU - Connell, S. H.

AU - Gololo, M. G.D.

AU - Govender, N.

AU - Truong, L.

PY - 2024/12

Y1 - 2024/12

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85189516943

U2 - 10.1007/s41781-023-00111-y

DO - 10.1007/s41781-023-00111-y

M3 - Article

AN - SCOPUS:85189516943

SN - 2510-2044

VL - 8

JO - Computing and Software for Big Science

JF - Computing and Software for Big Science

IS - 1

M1 - 9

ER -

Software Performance of the ATLAS Track Reconstruction for LHC Run 3

Abstract

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