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2nd collaboration workshop on Reinforcement Learning for Autonomous Accelerators (RL4AA'24)

Feb 5 – 7, 2024
Universität Salzburg (Paris-Lodron-Universität)
Europe/Berlin timezone
Registration and call for abstracts extended to 5 January

Contact

Session

Invited Talks

Feb 5, 2024, 1:00 PM
Blue lecture hall (Universität Salzburg (Paris-Lodron-Universität))

Blue lecture hall

Universität Salzburg (Paris-Lodron-Universität)

Hellbrunnerstrasse 34 5020 Salzburg

Presentation materials

There are no materials yet.

  1. 51. Real-time control with reinforcement learning at KARA
    Dr Andrea Santamaria Garcia (KIT)
    2/5/24, 1:00 PM
    Invited Talk

    Reinforcement Learning (RL) has demonstrated its effectiveness in solving control problems in particle accelerators. A challenging application is the control of the microbunching instability (MBI) in synchrotron light sources. Here the interaction of an electron bunch with its emitted coherent synchrotron radiation leads to complex non-linear dynamics and pronounced fluctuations.

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  2. 53. Optimization at the GSI/FAIR accelerator facility
    Sabrina Appel (GSI)
    2/5/24, 1:30 PM
    Invited Talk

    The complexity of the GSI/FAIR accelerator facility demands a high level of automation in order to maximize time for physics experiments. This talk will give an overview of different optimization problems at GSI, from transfer lines to synchrotrons to the fragment separator. Starting with a summary of previous successful automation, the talk will focus on the latest developments in recent...

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  3. 60. Optimization and Control at DESY - RL and Beyond
    Annika Eichler (DESY)
    2/5/24, 2:00 PM
    Invited Talk

    DESY has many years on experience on optimization and control of particle accelerators. Reinforcement learning has been explored within the last three years. In this talk the results of this investigation are summarized and an outlook is given. Further control and optimization challenges for operation are presented and discussed.

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  4. 61. ML applications at BESSY
    Dr Gregor Hartmann (HZB)
    2/5/24, 2:30 PM
    Invited Talk

    In order to improve BESSY's experimental environment, several ML-based applications are used at HZB. These efforts cover challenges arising at the accelerator, beamlines and detectors at the experiment. This talk provides on overview of these activities focussing on RL and providing insights in the optimization of a beamline, tuning of an e-gun as well as electron beam positioning in BESSY's...

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  5. 39. Reinforcement Learning for CERN's accelerators
    Dr Verena Kain (CERN)
    2/5/24, 4:00 PM
    Invited Talk

    CERN has a long tradition of model-based feedforward control with a high-level of abstraction. With the recently approved project “Efficient Particle Accelerators”, the CERN management commits to go one step further and invest heavily into automation on all fronts. The initiative will therefore also further push data-driven surrogate models, sample-efficient optimisation and continous control...

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  6. 66. RL Activities Overview at SLAC (preliminary title)
    Dr Auralee Edelen (SLAC)
    2/5/24, 4:30 PM
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