Machine Learning Based Optimization of Laser-Plasma Accelerators

Name: Machine Learning Based Optimization of Laser-Plasma Accelerators
Brand: Springer Nature Switzerland
Availability: OutOfStock
Rating: 5 (1 reviews)

By Sören Jalas

0 - Default Title

Description

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.

Product details

Number of Pages:

172

Release Date:

2025-06-10

Publication Date:

2025-06-10

Publisher:

Springer Nature Switzerland

Languages:

Original: English

ISBN10:

303188082X

ISBN13:

9783031880827

GPSR Manufacturer Reference:

[email protected]

Weight:

459 g

Height:

160 cm

Width:

241 cm

Thickness:

15 cm

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