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This chapter presents the experimental demonstration of multi-objective Bayesian optimization (MOBO) employed to discover optimal tuning curves for a laser-plasma accelerator. These curves enable precise adjustments to system characteristics such as charge and energy, while simultaneously maintaining optimal energy spread. The findings discussed here have been published in “S. Jalas et al., Tuning Curves for a Laser-Plasma Accelerator, Physical Review Accelerators and Beams (2023)” [1]. Similar to the previous chapter, this discussion is primarily a reproduction of that publication.

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Tuning Curves for a Laser-Plasma Accelerator

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  • 发表日期：

    2025年

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  • Sören Jalas

摘要

This chapter presents the experimental demonstration of multi-objective Bayesian optimization (MOBO) employed to discover optimal tuning curves for a laser-plasma accelerator. These curves enable precise adjustments to system characteristics such as charge and energy, while simultaneously maintaining optimal energy spread. The findings discussed here have been published in “S. Jalas et al., Tuning Curves for a Laser-Plasma Accelerator, Physical Review Accelerators and Beams (2023)” [1]. Similar to the previous chapter, this discussion is primarily a reproduction of that publication.