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.
Original language | English |
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Article number | 913510 |
Journal | Frontiers in Physics |
Volume | 10 |
DOIs | |
State | Published - Jun 14 2022 |
Funding
MB is supported by the University of Pittsburgh under PHY1624739 with the US National Science Foundation. VE, CJ, and KP are supported by Fermilab, operated by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy. TE is supported by the Exascale Computing Project (ECP), project number 17-SC-20-SC. Work for this paper was supported by Oak Ridge National Laboratory (ORNL), which is managed and operated by UT-Battelle, LLC, for the U.S. Department of Energy (DOE) under Contract No. DEAC05-00OR22725. CL is supported by the DOE HEP Center for Computational Excellence at Lawrence Berkeley National Laboratory under B&R KA2401045 with the U.S. Department of Energy. SPG is supported by the U.S. Department of Energy, Office of Science under contract DE-AC02-05CH11231. BM is supported by STFC in the United Kingdom. HP is in part funded by the U.S. National Institute of Health: U24 CA215123 (the TOPAS Tool for Particle Simulation, a Monte Carlo Simulation Tool for Physics, Biology and Clinical Research).
Funders | Funder number |
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Fermi Research Alliance, LLC | DE-AC02-07CH11359 |
Monte Carlo Simulation Tool for Physics | |
National Science Foundation | |
National Institutes of Health | U24 CA215123 |
National Institutes of Health | |
U.S. Department of Energy | 17-SC-20-SC, B&R KA2401045, DEAC05-00OR22725 |
U.S. Department of Energy | |
Office of Science | DE-AC02-05CH11231 |
Office of Science | |
Oak Ridge National Laboratory | |
University of Pittsburgh | PHY1624739 |
University of Pittsburgh | |
Science and Technology Facilities Council |
Keywords
- Monte Carlo
- computing
- high energy physics
- high performance computing
- particle physics
- radiation
- simulation
- software