Advanced Modeling of Plasma-based Particle Accelerators
2023
Jean-Luc Vay, Arianna Formenti, Marco Garten, Axel Huebl, Remi Lehé, Chad Mitchell, Qiang Ji, 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, J. F. Wu, W. Zhang, Jeffrey Larson, Stephen D. Hudson, Norbert Podhorszki
Abstract
Plasma-based acceleration (PBA) driven by an intense laser (LWFA) or particle beam (PWFA) can produce ultra-high accelerating fields in excess of a GV/cm. PBA could substantially reduce the size and cost of future linear collider facilities if deployed successfully. PBA enables compact tabletop accelerators that can provide lower energy GeV-class beams in a laboratory setting. PBA enables high quality beam generation suitable for x-ray free electron lasers (XFEL) via controllable methods of self-injection. Challenges in modeling and optimization of multi-stage PBA motivate the need for exascale computing and state-of-the-art PIC codes.
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