Turn-key constrained parameter space exploration for particle accelerators using Bayesian active learning

Particle accelerators are invaluable discovery engines in the chemical, biological and physical sciences. Characterization of the accelerated beam response to accelerator input parameters is often the first step when conducting accelerator-based experiments. Currently used techniques for characteriz...

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Detalles Bibliográficos
Autores principales: Roussel, Ryan, Gonzalez-Aguilera, Juan Pablo, Kim, Young-Kee, Wisniewski, Eric, Liu, Wanming, Piot, Philippe, Power, John, Hanuka, Adi, Edelen, Auralee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460822/
https://www.ncbi.nlm.nih.gov/pubmed/34556642
http://dx.doi.org/10.1038/s41467-021-25757-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460822/
https://www.ncbi.nlm.nih.gov/pubmed/34556642
http://dx.doi.org/10.1038/s41467-021-25757-3

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