Machine Learning Based Optimization of Laser-Plasma Accelerators E-Book

Sören Jalas

• Herausgeber: Springer Nature Switzerland
• Kategorie: Wissenschaft und neue Technologien
• Serie: Springer Theses
• Sprache: Englisch

Veröffentlichungsjahr: 2025

Beschreibung

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-time experimentation.

In combination, the methods presented in this book provide valuable tools for effectively managing the inherent complexity of LPAs, spanning from the design phase in simulations to real-time operation, potentially paving the way for LPAs to cater to a wide array of applications with diverse demands.