Simulations of future particle accelerators: issues and mitigations

被引:4
|
作者
Sagan, D. [1 ]
Berz, M. [2 ]
Cook, N. M. [3 ]
Hao, Y. [4 ]
Hoffstaetter, G. [1 ]
Huebl, A. [5 ]
Huang, C-K [6 ]
Langston, M. H. [7 ]
Mayes, C. E. [8 ]
Mitchell, C. E. [5 ]
Ng, C-K [8 ]
Qiang, J. [5 ]
Ryne, R. D. [5 ]
Scheinker, A. [6 ]
Stern, E. [9 ]
Vay, J-L [5 ]
Winklehner, D. [10 ]
Zhang, H. [11 ]
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
[2] Michigan State Univ, E Lansing, MI 48824 USA
[3] RadiaSoft LLC, Boulder, CO 80301 USA
[4] Brookhaven Natl Lab, 98 Rochester St, Upton, NY 11973 USA
[5] Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
[6] Los Alamos Natl Lab, Los Alamos, NM 87545 USA
[7] Reservoir Labs Inc, New York, NY 10012 USA
[8] SLAC Natl Accelerator Lab, Menlo Pk, CA 94025 USA
[9] Fermilab Natl Accelerator Lab, Batavia, IL 60510 USA
[10] MIT, Cambridge, MA 02138 USA
[11] Thomas Jefferson Natl Accelerator Facil, Newport News, VA 23606 USA
基金
美国国家科学基金会;
关键词
Beam dynamics; Beam Optics; Simulation methods and programs; Accelerator modelling and simulations (multi-particle dynamicssingle-particle dy-namics); EXPANSION; ALGORITHM; EQUATIONS; SOLVER;
D O I
10.1088/1748-0221/16/10/T10002
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The ever increasing demands placed upon machine performance have 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). In the future, adaptively tuned models might also be relied upon to provide beam measurements beyond the resolution of existing diagnostics. Much time and effort has been put into creating accelerator software tools, some of which are highly successful. However, there are also shortcomings such as the general inability of existing software to be easily modified to meet changing simulation needs. 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, among others.
引用
收藏
页数:22
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