AI/ML for Particle Accelerator, X-Ray Beamlines and Electron Microscopy

Session

Session III

2 Nov 2021, 10:00

Virtual

Conveners

Session III: Failure Detection, Virtual Diagnostics & Digital Twin

• John Power (Argonne National Lab)

Contribution list Timetable

12. Applications of Neural Networks for Anomaly Detection in Particle Accelerators

Jonathan Edelen (RadiaSoft LLC)

02/11/2021, 10:00

13. Data-Driven Detection, Isolation, Identification, and Prediction of Accelerator Fault Events

Chris Tennant (Jefferson Lab)

02/11/2021, 10:25

14. Adaptive Machine Learning for Control and Virtual Diagnostics of Time-Varying Particle Accelerator Systems and Beams

Alexander Scheinker (Los Alamos National Laboratory)

02/11/2021, 10:50

15. A Digital Twin for Spatiotemporal Experiments

Subramanian Sankaranarayanan (Argonne National Laboratory)

02/11/2021, 11:15

16. Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator

Malachi Schram (Thomas Jefferson National Accelerator Facility)

02/11/2021, 11:40

17. Open / Speaker Panel Discussion

02/11/2021, 11:55