Speaker
Alexander Scheinker
(Los Alamos National Laboratory)
Description
Particle accelerators are complicated scientific tools which are composed of tens to thousands of coupled components (depending on accelerator size) including accelerating RF cavities and magnets used to focus and bend charged particle beams. EPICS is one of the most useful tools in existence for accelerator component controls and for accelerator diagnostics. In this talk I present some recent results on developing and implementing adaptive machine learning controls and diagnostics for accelerators, present examples of using EPICS for accelerator controls and diagnostics, and discuss what future EPICS capabilities may be beneficial for implementing novel adaptive machine learning tools.
| Talk duration | 20 minutes + questions |
|---|
Primary author
Alexander Scheinker
(Los Alamos National Laboratory)
