Experimental Demonstration of Machine Learning Application in LHC Optics Commissioning

Recently, we conducted successful studies on the suitability of machine learning (ML) methods for optics measurements and corrections, incorporating novel ML-based methods for local optics corrections and reconstruction of optics functions. After performing extensive verifications on simulations and...

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Detalles Bibliográficos
Autores principales: Fol, Elena, Cardona, Javier, Carlier, Felix, Dilly, Joschua, Hofer, Michael, Keintzel, Jacqueline, Le Garrec, Mael, Maclean, Ewen, Persson, Tobias, Soubelet, Felix, Tomás García, Rogelio, Wegscheider, Andreas
Lenguaje:eng
Publicado: 2022
Materias:
Accelerators and Storage Rings
Acceso en línea:https://dx.doi.org/10.18429/JACoW-IPAC2022-MOPOPT047
http://cds.cern.ch/record/2845871

Internet

https://dx.doi.org/10.18429/JACoW-IPAC2022-MOPOPT047
http://cds.cern.ch/record/2845871

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