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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...
Autores principales: | , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.18429/JACoW-IPAC2022-TUPOTK061 http://cds.cern.ch/record/2845883 |