Speaker
Oliver Stein
(MSK (Strahlkontrollen))
Description
Within the scope of the Helmholtz AI Autonomous Accelerator Project machine learning methods for automating the accelerator operation are investigated. The recurrent task of manipulating the transverse beam parameters in the ARES experimental area poses as a test bed for studying reinforcement learning applications helping to automate complex tasks during accelerator operation. In this talk the current status and preliminary results of these studies will be presented.
Primary author
Oliver Stein
(MSK (Strahlkontrollen))
Co-authors
Annika Eichler
Jan Kaiser
(DESY)