[FFA_CEBAF_Collab] Snowmass21 Accelerator Modeling Community White Paper

[Jay Benesch]

just in case this went unnoticed among the flood of Snowmass postings 
this week.

https://arxiv.org/abs/2203.08335

Snowmass21 Accelerator Modeling Community White Paper
S. Biedron, L. Brouwer, D.L. Bruhwiler, N. M. Cook, A. L. Edelen, D. 
Filippetto, C.-K. Huang, A. Huebl, N. Kuklev, R. Lehe, S. Lund, C. 
Messe, W. Mori, C.-K. Ng, D. Perez, P. Piot, J. Qiang, R. Roussel, D. 
Sagan, A. Sahai, A. Scheinker, F. Tsung, J.-L. Vay, D. Winklehner, H. Zhang

     After a summary of relevant comments and recommendations from 
various reports over the last ten years, this paper examines the 
modeling needs in accelerator physics, from the modeling of single beams 
and individual accelerator elements, to the realization of virtual twins 
that replicate all the complexity to model a particle accelerator 
complex as accurately as possible. We then discuss cutting-edge and 
emerging computing opportunities, such as advanced algorithms, AI/ML and 
quantum computing, computational needs in hardware, software 
performance, portability and scalability, and needs for scalable I/O and 
in-situ analysis. Considerations of reliability, long-term 
sustainability, user support and training are considered next, before 
discussing the benefits of ecosystems with integrated workflows based on 
standardized input and output, and with integrated frameworks and data 
repositories developed as a community. Last, we highlight how the 
community can work more collaboratively and efficiently through the 
development of consortia and centers, and via collaboration with industry.

Comments: 	contribution to Snowmass 2021
Subjects: 	Accelerator Physics (physics.acc-ph)
Cite as: 	arXiv:2203.08335 [physics.acc-ph]