Machine Learning Based Optimization of Laser-Plasma Accelerators

von Sören Jalas

134 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Springer Theses
• Themen: Mathematik und Naturwissenschaften Physik Materialwissenschaft / Aggregatzustände Plasmaphysik
• ISBN: 9783031880827
• Sprache: Englisch
• Erscheinungsdatum: 10.06.2025
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing