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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/104912
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dc.contributor.authorKain, Verena-
dc.contributor.authorBruchon, Niky-
dc.contributor.authorHirlander, Simon-
dc.contributor.authorMadysa, Nico-
dc.contributor.authorVojskovic, Isabella-
dc.contributor.authorSkowronski, Piotr-
dc.contributor.authorValentino, Gianluca-
dc.date.accessioned2023-01-05T08:43:17Z-
dc.date.available2023-01-05T08:43:17Z-
dc.date.issued2021-
dc.identifier.citationKain, 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.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/104912-
dc.description.abstractThe 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.en_GB
dc.language.isoenen_GB
dc.publisherJACoW Publishingen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectMachine Learningen_GB
dc.subjectLarge Hadron Collider (France and Switzerland)en_GB
dc.subjectLinear acceleratorsen_GB
dc.titleTest of machine learning at the CERN LINAC4en_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename64th ICFA ABDW on High-Intensity and High-Brightness Hadron Beamsen_GB
dc.bibliographicCitation.conferenceplaceBatavia, United States. 04-08/10/2021.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.18429/JACoW-HB2021-TUEC4-
Appears in Collections:Scholarly Works - FacICTCCE

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