Bayesian Optimization of Plasma Accelerator Simulations
摘要
This chapter will aim to put the concepts outlined in the previous chapters into a combined context. By applying it to particle-in-cell simulations, Bayesian optimization will be used as a tool to unravel the complex interplay of laser and plasma parameters and find optimal configurations for a laser-plasma accelerator setup, like the one employed at lux.