Accelerator tuning method using autoencoder and Bayesian optimization

During beam-accelerator operation, a large number of parameters need to be tuned. In recent years, tuning methods based on machine learning have been extensively studied. Bayesian optimization (BO) has attracted considerable attention as an excellent method for accelerator tuning. However, its appli...

Full description

Bibliographic Details

Published in:	Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Vol. 1057; p. 168730
Main Authors:	Morita, Yasuyuki, Washio, Takashi, Nakashima, Yuta
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2023
Subjects:	Accelerator Autoencoder Bayesian optimization Machine learning Bayesian optimization Autoencoder Machine learning Accelerator
ISSN:	0168-9002, 1872-9576
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!