7–11 Sept 2025
Teaching Hub 502
Europe/London timezone

Modelling, anomaly detection and classification of slow losses using machine learning for Diamond-II Beam Loss Monitors

MOPCO04
8 Sept 2025, 16:00
2h
Teaching Hub 502

Teaching Hub 502

The University of Liverpool 160 Mount Pleasant L3 5TR Liverpool
Poster Presentation MC02: Beam Loss Monitors and Machine Protection MOP

Speaker

Corey Lehmann (Diamond Light Source, John Adams Institute for Accelerator Science, University of Oxford)

Description

The slow losses measured by Beam Loss Monitors (BLMs) at synchrotron light source facilities offer useful but indirect insight into the state of the beam. Patterns arise across the set of BLMs depending on the movement of insertion devices, beam current, temperature, humidity, and other contributors. A variety of neural network models were designed and evaluated to model this behaviour under user beam operation to enable anomaly detection and aid fault investigations.

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Author

Corey Lehmann (Diamond Light Source, John Adams Institute for Accelerator Science, University of Oxford)

Co-authors

Lorraine Bobb (Diamond Light Source) Philip Burrows (John Adams Institute for Accelerator Science, University of Oxford)

Presentation materials

There are no materials yet.