Machine Learning Based Optimization of Laser-Plasma Accelerators

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian optimization to fine tune the parameters of the lux accelerator, encompassing simulations and real...

詳細記述

書誌詳細

第一著者:	Jalas, Sören (著者)
団体著者:	SpringerLink (Online service)
フォーマット:	電子媒体 eBook
言語:	英語
出版事項:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
版:	1st ed. 2025.
シリーズ:	Springer Theses, Recognizing Outstanding Ph.D. Research,
主題:	Plasma accelerators. Machine learning. Particle accelerators. Mathematical optimization. Plasma-based Accelerators. Machine Learning. Accelerator Physics. Optimization.
オンライン･アクセス:	https://doi.org/10.1007/978-3-031-88083-4
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