Hi All:
The paper has been submitted to JINST and arXiv.
— Cheers, David
> On Aug 24, 2021, at 11:26 PM,
e-pr...@arxiv.org wrote:
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> We have received your submission to arXiv. Your temporary submission
> identifier is: submit/3897228.
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> ------------------------------------------------------------------------------
> \\
> arXiv:submit/3897228
> From: David Sagan <
dc...@cornell.edu>
> Date: Tue, 24 Aug 2021 23:26:30 EST (271kb,D)
>
> Title: Simulations of Future Particle Accelerators: Issues and Mitigations
> Authors: D. Sagan, M. Berz, N.M. Cook, Y. Hao, G. Hoffstaetter, A. Huebl, C.-K.
> Huang, M.H. Langston, C. E. Mayes, C. E. Mitchell, C.-K. Ng, J. Qiang, R. D.
> Ryne, A. Scheinker, E. Stern, J.-L. Vay, D. Winklehner, H. Zhang
> Categories: physics.acc-ph
> Comments: 21 pages, 1 figure. To be published in JINST
> License:
http://creativecommons.org/licenses/by/4.0/
> \\
> 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.
> \\