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Machine Learning Based Optimization of Laser-Plasma Accelerators (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 134
• Erscheinungstermin: 9. Juni 2025
• Englisch
• ISBN-13: 9783031880834
• Artikelnr.: 74366822

Inhaltsangabe

Principles of Laser-Plasma Acceleration.- Bayesian Optimization.- Bayesian Optimization of Plasma Accelerator Simulations.- Experimental Setup: The LUX Laser-Plasma Accelerator.- Bayesian Optimization of a Laser-Plasma Accelerator.- Tuning Curves for a Laser-Plasma Accelerator.- Conclusion.