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https://www.um.edu.mt/library/oar/handle/123456789/104912| Title: | Test of machine learning at the CERN LINAC4 |
| Authors: | Kain, Verena Bruchon, Niky Hirlander, Simon Madysa, Nico Vojskovic, Isabella Skowronski, Piotr Valentino, Gianluca |
| Keywords: | Machine Learning Large Hadron Collider (France and Switzerland) Linear accelerators |
| Issue Date: | 2021 |
| Publisher: | JACoW Publishing |
| Citation: | Kain, V., Madysa, N., Skowronski, P. K., Vojskovic, I., Bruchon, N., Hirlaender, S. & Valentino, G. (2021). Test of machine learning at the CERN LINAC4. 64th ICFA ABDW on High-Intensity and High-Brightness Hadron Beams, Batavia. 181-185. |
| Abstract: | 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 before- hand 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. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/104912 |
| Appears in Collections: | Scholarly Works - FacICTCCE |
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