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]

University of Bucharest
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Department of Physics
University of South Africa
University of Zululand
Faculté Des Sciences-Semlalia
New York University
Departamento de Física Teórica y del Cosmos
University of Granada
European Organization for Nuclear Research
Aix-Marseille Université
University of Oklahoma
Georg August Universität Göttingen
pro3dure medical GmbH
Brookhaven National Laboratory Physics Department
University Mohammed V in Rabat
Tel Aviv University
Technion - Israel Institute of Technology
Polytechnic University
Sezione INFN di Roma La Sapienza
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Stanford University
Laboratoire d’Annecy-Le-Vieux de Physique des Particules (CNRS/IN2P3/LAPP)
Univ of Mining and Metallurgy
University of Toronto
Brandeis University
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Istanbul University
Rutherford Appleton Laboratory
University of California at Santa Cruz
Dept. d'Estructura I Constituents De La Matèria and IFAE
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Johannes Gutenberg University
'Al. I. Cuza' University
Ilia State University (ISU)
McGill University and Génome Québec Innovation Centre
University of London
University of Science and Technology of China
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University of Valencia
Hassan II University of Casablanca
Weizmann Institute of Science Israel
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Max-Planck-Institut für Physik
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National Technical University of Athens
University of Geneva
Czech Technical University in Prague
Department of Physics, Lancaster University
Academia Sinica Taipei
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University Paris-Sud
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Duke University
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14 Scopus citations

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
State	Published - Dec 2024
Externally published	Yes

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10.1007/s41781-023-00111-y

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@article{578e81ce101c47d39db6cdf6b9d77b23,

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. Aleksa and Aleksandrov, \{I. N.\} and C. Alexa and L. Heinrich and E. Kourlitis",

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",

publisher = "Springer Nature",

number = "1",

}

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 - Aleksa, M.

AU - Aleksandrov, I. N.

AU - Alexa, C.

AU - Heinrich, L.

AU - Kourlitis, E.

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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