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[null,"1.","Record Nr.",null,"UNINA9911009336803321"]
[null,null,"Autore",null,"Jalas Sören"]
[null,null,"Titolo",null,"Machine Learning Based Optimization of Laser-Plasma Accelerators / / by Sören Jalas"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-88083-8"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (210 pages)"]
[null,null,"Collana",null,"Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5061"]
[null,null,"Disciplina",null,"530.44"]
[null,null,"Soggetti",null,"Plasma accelerators"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Particle accelerators"]
[{"$nulls":4},"Mathematical optimization"]
[{"$nulls":4},"Plasma-based Accelerators"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Accelerator Physics"]
[{"$nulls":4},"Optimization"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"Sommario/riassunto","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."]