Author: Skowronski, P.K.    [Skowroński, P.K.]
Paper Title Page
TUEC4 Test of Machine Learning at the CERN LINAC4 181
 
  • V. Kain, N. Madysa, P.K. Skowroński, I. Vojskovic
    CERN, Meyrin, Switzerland
  • N. Bruchon
    University of Trieste, Trieste, Italy
  • S. Hirlaender, G. Valentino
    University of Malta, Information and Communication Technology, Msida, Malta
 
  The CERN H linear accelerator, LINAC4, served as a test bed for advanced algorithms during the CERN Long Shutdown 2 in the years 2019/20. One of the main goals was to show that reinforcement learning with all its benefits can be used as a replacement for numerical optimization and as a complement to classical control in the accelerator control context. Many of the algorithms used were prepared beforehand at the electron line of the AWAKE facility to make the best use of the limited time available at LINAC4. An overview of the algorithms and concepts tested at LINAC4 and AWAKE will be given and the results discussed.  
slides icon Slides TUEC4 [2.879 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-HB2021-TUEC4  
About • Received ※ 07 October 2021 — Revised ※ 21 October 2021 — Accepted ※ 23 November 2021 — Issue date ※ 19 December 2021
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)