Speaker
Description
Particle accelerators based on plasma waves promise revolutionary advancements in compact accelerator technology. To design and reliably operate these advanced accelerators, rapid yet accurate simulations and efficient optimization tools are essential. In this talk, I will provide a concise overview of the state-of-the-art in plasma accelerator modeling, highlighting fundamental simulation techniques and novel computational strategies that enable efficient exploration of vast design parameter spaces. I will discuss modern optimization and exploration techniques, particularly Bayesian optimization and surrogate modeling, and their application to accelerator design. Finally, I will demonstrate how these computational tools and optimization strategies can be effectively integrated with experimental efforts, facilitating improved experimental design, control, and efficient utilization of experimental resources.
