Machine-learning approach for operating electron beam at KEK electron/positron injector linac
Gaku Mitsuka,
Shinnosuke Kato,
Naoko Iida
et al.
Abstract:In current accelerators, numerous parameters and monitored values are to be adjusted and evaluated, respectively. In addition, fine adjustments are required to achieve the target performance. Therefore, the conventional accelerator-operation method, in which experts manually adjust the parameters, is reaching its limits. We are currently investigating the use of machine learning for accelerator tuning as an alternative to expert-based tuning. In recent years, machine-learning algorithms have progressed signifi… Show more
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