Collaboration for Advanced Modeling of Particle Accelerators
2023
Jean-Luc Vay, Arianna Formenti, Marco Garten, Axel Huebl, Remi Lehé, Chad Mitchell, Ji Qiang, Richard L. Sandberg, Olga V. Shapoval, Edoardo Zoni, E. G. Stern, S. Soldner-Rembold, S. Ali, Auralee Edelen, Ryan Roussel, W. B. Mori, P. Alves, Thamine Dalichaouch, F. S. Tsung, Ann Almgren, Junmin Gu, Andrew Myers, Junqiao Wu, Weiqun Zhang, Jeffrey Larson, Stephen D. Hudson, Norbert Podhorszki
Abstract
The pverarching purpose is to accelerate and expand the scope of discoveries from high energy physics (HEP) particle accelerators by enabling the design of accelerators that are significantly more compact and cheaper to build and run. This will be realized through (i) developing high-performance computing (HPC) accelerator and beam modeling capabilities to design the full range of systems required (ii) developing community simulation ecosystems that seamlessly integrate accelerator elements to facilitate the design and control of next-generation accelerators.
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