Speaker
Mr
Corey Lehmann
(University of Oxford)
Description
The losses measured by Beam Loss Monitors (BLMs) at synchrotron light source facilities offer useful but indirect insight into the state of the beam. Frequent changes to insertion devices, beam current, temperature, humidity, and other factors make the line between normal operation and anomalous behaviour unclear. Data was collected passively during user beam on the storage ring of Diamond Light Source over several months, as well as actively during dedicated machine shifts. A variety of machine learning techniques were employed to model the behaviour in this data, enabling anomaly detection and aiding machine operations.
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Author
Mr
Corey Lehmann
(University of Oxford)
Co-authors
Lorraine Bobb
(Diamond Light Source)
Philip Burrows
(John Adams Institute)