STI Publications - View Publication Form #16772
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Publication Information
| Title | Simulations of Future Particle Accelerators: Issues and Mitigations | ||||
| Abstract | The ever increasing demands placed upon machine performance has resulted in the need for more comprehensive particle accelerator modeling. Computer simulations are key to the success of particle accelerators. Many aspects of particle accelerators rely on computer modeling at some point, sometimes requiring complex simulation tools and massively parallel supercomputing. Examples include the modeling of beams at extreme intensities and densities (toward the quantum degeneracy limit), and with ultra-fine control (down to the level of individual particles). Much time and effort has been spent creating these software tools, some of which are highly successful. However, there are also shortcomings. In this paper possible mitigating strategies are discussed for issues faced by the accelerator community as it endeavors to produce better and more comprehensive modeling tools. This includes lack of coordination between code developers, lack of standards to make codes portable and/or re | ||||
| Author(s) | D. Sagan, Martin Berz, N. Cook, Yue Hao, Georg Hoffstaetter, A. Huebl, C.-K. Huang, M. Langston, C. Mayes, C. Mitchell, C. Ng, J. Qiang, R. Ryne, E. Stern, J.-L. Vay, D. Winklehner, H. Zhang | ||||
| Publication Date | October 2021 | ||||
| Category | Beam Dynamics | ||||
| Document Type | Journal Article | ||||
| Primary Institution | Cornell University, Ithaca, NY | ||||
| Affiliation | Accelerator Ops, R&D / Cntr-Adv Studies of Acce / Ctr for Adv Stud of Accel | ||||
| Funding Source | Nuclear Physics (NP) | ||||
| Proprietary? | No | ||||
| This publication conveys | Literature Review and Summary | ||||
| Document Numbers |
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| Associated with an experiment | No | ||||
| Associated with EIC | No | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Journal Article
| Journal Name | Journal of Instrumentation |
| Refereed | Yes |
| Volume | 16 |
| Issue | |
| Page(s) | T10002 |
Attachments/Datasets/DOI Link
| Document(s) |
ICFA_Accelerator_Simulation.pdf
(STI Document)
Sagan_2021_J._Inst._16_T10002.pdf
(Accepted Manuscript)
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| DOI Link | |
| Dataset(s) | (none) |
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