Publications
Publication Information
| Title | Simulations of Future Particle Accelerators: Issues and Mitigations |
| Authors | 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 |
| JLAB number | JLAB-ACP-21-3515 |
| LANL number | (None) |
| Other number | DOE/OR/23177-5388 |
| Document Type(s) | (Journal Article) |
| Category: | Beam Dynamics |
| Associated with EIC: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
| Funding Source: | Nuclear Physics (NP) |
|
Journal Compiled for Journal of Instrumentation Volume 16 Page(s) T10002 Refereed | |
| Publication 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 reusable, lack of documentation, etc. |
| Experiment Numbers: | other |
| Group: | Ctr for Adv Stud of Accel |
| Document: | |
| DOI: | https://doi.org/10.1088/1748-0221/16/10/T10002 |
| Accepted Manuscript: | Sagan_2021_J._Inst._16_T10002.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |