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Detector simulation challenges for future accelerator experiments

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Apostolakis, John, Bandieramonte, Marilena, Banerjee, Sunanda, Bartosik, Nazar, Corti, Gloria, Cosmo, Gabriele, Elvira, V. Daniel, Evans, Thomas, Gheata, Andrei, Pagan Griso, Simone, Ivantchenko, Vladimir, Jones, Christopher, Klute, Markus, Leggett, Charles, Morgan, B. (Ben), Novak, Tadej, Pedro, Kevin and Paganetti, Harald (2022) Detector simulation challenges for future accelerator experiments. Frontiers in Physics, 10 . 913510. doi:10.3389/fphy.2022.913510 ISSN 2296-424X.

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Official URL: https://doi.org/10.3389/fphy.2022.913510

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Abstract

Detector simulation is a key component for studies on prospective future high-energy colliders, the design, optimization, testing and operation of particle physics experiments, and the analysis of the data collected to perform physics measurements. This review starts from the current state of the art technology applied to detector simulation in high-energy physics and elaborates on the evolution of software tools developed to address the challenges posed by future accelerator programs beyond the HL-LHC era, into the 2030–2050 period. New accelerator, detector, and computing technologies set the stage for an exercise in how detector simulation will serve the needs of the high-energy physics programs of the mid 21st century, and its potential impact on other research domains.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QC Physics
Divisions: Faculty of Science, Engineering and Medicine > Science > Physics
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Particles (Nuclear physics), Particle range (Nuclear physics), Radiation, Monte Carlo method, High performance computing
Journal or Publication Title: Frontiers in Physics
Publisher: Frontiers Media
ISSN: 2296-424X
Official Date: 14 June 2022
Dates:
DateEvent
14 June 2022Published
16 May 2022Accepted
Volume: 10
Article Number: 913510
DOI: 10.3389/fphy.2022.913510
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 8 September 2022
Date of first compliant Open Access: 9 September 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
PHY1624739University of Pittsburgh at Johnstownhttp://dx.doi.org/10.13039/100012887
DE-AC02-07CH11359 Fermilabhttp://dx.doi.org/10.13039/100006230
UNSPECIFIED[NSF] National Science Foundation (US)http://dx.doi.org/10.13039/100000001
UNSPECIFIED[DOE] U.S. Department of Energyhttp://dx.doi.org/10.13039/100000015
17-SC-20-SCExascale Computing Projecthttps://www.exascaleproject.org/
DEAC05-00OR22725Oak Ridge National Laboratoryhttp://dx.doi.org/10.13039/100006228
B&R KA2401045[DOE] U.S. Department of Energyhttp://dx.doi.org/10.13039/100000015
DE-AC02-05CH11231Office of Sciencehttp://dx.doi.org/10.13039/100006132
UNSPECIFIED[STFC] Science and Technology Facilities Councilhttp://dx.doi.org/10.13039/501100000271
U24 CA215123National Institutes of Healthhttp://dx.doi.org/10.13039/100000002

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