Machine Learning Based Optimization of Laser-Plasma Accelerators

By Sören Jalas

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.

• Format: Hardcover
• Language: English
• ISBN: 303188082X
• ISBN13: 9783031880827
• Release Date: June 2025
• Publisher: Springer
• Length: 134 Pages
• Weight: 0.95 lbs.
• Dimensions: 0.5" x 6.4" x 9.4"