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Prospects to Apply Machine Learning to Optimize the Operation of the Crystal Collimation System at the LHC

Crystal collimation relies on the use of bent crystals to coherently deflect halo particles onto dedicated collimator absorbers. This scheme is planned to be used at the LHC to improve the betatron cleaning efficiency with high-intensity ion beams. Only particles with impinging angles below 2.5 urad...

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Detalles Bibliográficos
Autores principales: D'Andrea, Marco, Azzopardi, Gabriella, Di Castro, Mario, Matheson, Eloise, Mirarchi, Daniele, Redaelli, Stefano, Ricci, Gianmarco, Valentino, Gianluca
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:https://dx.doi.org/10.18429/JACoW-IPAC2022-TUPOTK061
http://cds.cern.ch/record/2845883