Year: 2024
Type: conference-paper
Abstract: Machine learning (ML) is a powerful new mathematical toolbox that allows for new possibilities in a broad variety of research areas. It enables machines to fulfill tasks without being explicitly programmed. There is no reason to believe why machine learning cannot be applied to particle accelerators. After a short introduction to machine learning, in this chapter the existing applications to particle accelerators are reviewed with examples on the PSI accelerator complex.
Author: Snuverink, Jochem
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6926157756
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