Oct 9 – 13, 2022
FHNW Campus Brugg-Windisch
Europe/Zurich timezone

Applications of Machine Learning for RF Systems

Oct 10, 2022, 2:55 PM
20m
Aula (Building 3)

Aula

Building 3

Oral Low Level RF Workshop 2022 Machine Learning

Speaker

Jonathan Edelen (RadiaSoft)

Description

The application of machine learning to accelerators has been a dinner table discussion amongst members of the community with an ever increasing list of application spaces. ML has successfully been applied to the improvement of diagnostics, on-line modeling, anomaly detection, and postmortem data analysis. When it comes to accelerator RF systems, machine learning has been of most interest for improving superconducting systems and quench detection / protection systems. Given modern hardware infrastructure, these only scratch the surface of potential applications. This talk will provide an overview of recent applications of machine learning technologies for both slow-controls and real-time systems and highlight some opportunities for the integration of machine learning techniques for the improvement of control systems for RF structures.

Primary authors

Co-authors

Dr Nathan Cook (RadiaSoft LLC) Dr Matthew Kilpatrick (RadiaSoft LLC)

Presentation materials