First Steps Toward an Autonomous Accelerator, a Common Project Between DESY and KIT

Author

Annika Eichler, Florian Burkart, Jan Kaiser, Willi Kuropka, Oliver Stein, Chenran Xu, Erik Bründermann, Andrea Santamaria Garcia

Participating institute

Institut für Beschleunigerphysik und Technologie (IBPT)
Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Fakultät für Physik (PHYSIK)

Genre

Beiträge rund ums KIT

Description

Reinforcement Learning algorithms have risen in popularity in recent years in the accelerator physics community, showing potential in beam control and in the optimization and automation of tasks in accelerator operation. The Helmholtz AI project "Machine Learning toward Autonomous Accelerators" is a collaboration between DESY and KIT that works on investigating and developing RL applications for the automatic start-up of electron linear accelerators. The work is carried out in parallel at two similar research accelerators: ARES at DESY and FLUTE at KIT, giving the unique opportunity of transfer learning between facilities. One of the first steps of this project is the establishment of a common interface between the simulations and the machine, in order to test and apply various optimization approaches interchangeably between the two accelerators. In this paper we present the first results on the common interface and its application to beam focusing in ARES, and the idea of laser shaping with spatial light modulators at FLUTE.

Keywords

IBPT, LAS

Duration (hh:mm:ss)

00:05:34

Published on

20.09.2021

Subject area

Physics

License

Creative Commons Attribution 4.0 International