Test of Machine Learning at the CERN LINAC4

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 complemen...

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Autores principales: Kain, Verena, Bruchon, Niky, Hirlaender, Simon, Madysa, Nico, Skowroński, Piotr, Valentino, Gianluca, Vojskovic, Isabella
Lenguaje:eng
Publicado: 2022
Materias:
Accelerators and Storage Rings
Acceso en línea:https://dx.doi.org/10.18429/JACoW-HB2021-TUEC4
http://cds.cern.ch/record/2841807
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author Kain, Verena
Bruchon, Niky
Hirlaender, Simon
Madysa, Nico
Skowroński, Piotr
Valentino, Gianluca
Vojskovic, Isabella
author_facet Kain, Verena
Bruchon, Niky
Hirlaender, Simon
Madysa, Nico
Skowroński, Piotr
Valentino, Gianluca
Vojskovic, Isabella
author_sort Kain, Verena
collection CERN
description 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.
id cern-2841807
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28418072022-11-23T21:39:43Zdoi:10.18429/JACoW-HB2021-TUEC4http://cds.cern.ch/record/2841807engKain, VerenaBruchon, NikyHirlaender, SimonMadysa, NicoSkowroński, PiotrValentino, GianlucaVojskovic, IsabellaTest of Machine Learning at the CERN LINAC4Accelerators and Storage RingsThe 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.oai:cds.cern.ch:28418072022
spellingShingle Accelerators and Storage Rings
Kain, Verena
Bruchon, Niky
Hirlaender, Simon
Madysa, Nico
Skowroński, Piotr
Valentino, Gianluca
Vojskovic, Isabella
Test of Machine Learning at the CERN LINAC4
title Test of Machine Learning at the CERN LINAC4
title_full Test of Machine Learning at the CERN LINAC4
title_fullStr Test of Machine Learning at the CERN LINAC4
title_full_unstemmed Test of Machine Learning at the CERN LINAC4
title_short Test of Machine Learning at the CERN LINAC4
title_sort test of machine learning at the cern linac4
topic Accelerators and Storage Rings
url https://dx.doi.org/10.18429/JACoW-HB2021-TUEC4
http://cds.cern.ch/record/2841807
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AT madysanico testofmachinelearningatthecernlinac4
AT skowronskipiotr testofmachinelearningatthecernlinac4
AT valentinogianluca testofmachinelearningatthecernlinac4
AT vojskovicisabella testofmachinelearningatthecernlinac4

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