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Software Performance of the ATLAS Track Reconstruction for LHC Run 3

Publication ,  Journal Article
Aad, G; Abbott, B; Abeling, K; Abicht, NJ; Abidi, SH; Aboulhorma, A; Abramowicz, H; Abreu, H; Abulaiti, Y; Acharya, BS; Bourdarios, CA; Ai, X ...
Published in: Computing and Software for Big Science
December 1, 2024

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.

Duke Scholars

Published In

Computing and Software for Big Science

DOI

EISSN

2510-2044

Publication Date

December 1, 2024

Volume

8

Issue

1
 

Citation

APA
Chicago
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MLA
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Aad, G., Abbott, B., Abeling, K., Abicht, N. J., Abidi, S. H., Aboulhorma, A., … Bella, L. A. (2024). Software Performance of the ATLAS Track Reconstruction for LHC Run 3. Computing and Software for Big Science, 8(1). https://doi.org/10.1007/s41781-023-00111-y
Aad, G., B. Abbott, K. Abeling, N. J. Abicht, S. H. Abidi, A. Aboulhorma, H. Abramowicz, et al. “Software Performance of the ATLAS Track Reconstruction for LHC Run 3.” Computing and Software for Big Science 8, no. 1 (December 1, 2024). https://doi.org/10.1007/s41781-023-00111-y.
Aad G, Abbott B, Abeling K, Abicht NJ, Abidi SH, Aboulhorma A, et al. Software Performance of the ATLAS Track Reconstruction for LHC Run 3. Computing and Software for Big Science. 2024 Dec 1;8(1).
Aad, G., et al. “Software Performance of the ATLAS Track Reconstruction for LHC Run 3.” Computing and Software for Big Science, vol. 8, no. 1, Dec. 2024. Scopus, doi:10.1007/s41781-023-00111-y.
Aad G, Abbott B, Abeling K, Abicht NJ, Abidi SH, Aboulhorma A, Abramowicz H, Abreu H, Abulaiti Y, Acharya BS, Bourdarios CA, Adamczyk L, Adamek L, Addepalli SV, Addison MJ, Adelman J, Adiguzel A, Adye T, Affolder AA, Afik Y, Agaras MN, Agarwala J, Aggarwal A, Agheorghiesei C, Ahmad A, Ahmadov F, Ahmed WS, Ahuja S, Ai X, Aielli G, Aikot A, Tamlihat MA, Aitbenchikh B, Aizenberg I, Akbiyik M, Åkesson TPA, Akimov AV, Akiyama D, Akolkar NN, Khoury KA, Alberghi GL, Albert J, Albicocco P, Albouy GL, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi F, Algren M, Alhroob M, Ali B, Ali HMJ, Ali S, Alibocus SW, Aliev M, Alimonti G, Alkakhi W, Allaire C, Allbrooke BMM, Allen JF, Flores CAA, Allport PP, Aloisio A, Alonso F, Alpigiani C, Estevez MA, Fernandez AA, Cardoso MA, Alviggi MG, Aly M, Coutinho YA, Ambler A, Amelung C, Amerl M, Ames CG, Amidei D, Santos SPAD, Amos KR, Ananiev V, Anastopoulos C, Andeen T, Anders JK, Andrean SY, Andreazza A, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Anulli F, Aoki M, Aoki T, Pozo JAA, Aparo MA, Bella LA. Software Performance of the ATLAS Track Reconstruction for LHC Run 3. Computing and Software for Big Science. 2024 Dec 1;8(1).

Published In

Computing and Software for Big Science

DOI

EISSN

2510-2044

Publication Date

December 1, 2024

Volume

8

Issue

1