Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives

Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives

Although beam emittance is critical for the performance of high-brightness accelerators, optimization is often time limited as emittance calculations, commonly done via quadrupole scans, are typically slow. Such calculations are a type of multipoint query , i.e. each query requires multiple secondar...

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Bibliographic Details
Main Authors: Sara Ayoub Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Machine Learning: Science and Technology
Subjects:
online optimization
multipoint optimization
particle accelerator
x-ray free electron laser
Bayesian optimization
Bayesian algorithm execution
Online Access:https://doi.org/10.1088/2632-2153/ad169f

Internet

https://doi.org/10.1088/2632-2153/ad169f

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