Software Architecture for Automatic LHC Collimator Alignment Using Machine Learning

The Large Hadron Collider at CERN relies on a collimation system to absorb unavoidable beam losses before they reach the superconducting magnets. The collimators are positioned close to the beam in a transverse setting hierarchy achieved by aligning each collimator with a precision of a few tens of...

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Detalles Bibliográficos
Autores principales: Azzopardi, Gabriella, Muscat, Adrian, Redaelli, Stefano, Salvachua, Belen, Valentino, Gianluca
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.18429/JACoW-ICALEPCS2019-MOCPL04
http://cds.cern.ch/record/2778528

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