September 29, 2021 to October 1, 2021
online
Europe/Berlin timezone

Studies on Using Reinforcement Learning Methods for Controlling the Transverse Beam Parameters at the ARES Accelerator

Sep 30, 2021, 11:35 AM
5m
online

online

DESY, Hamburg (online, hybrid/in-person)

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

Presentation materials