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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...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.18429/JACoW-ICALEPCS2019-MOCPL04 http://cds.cern.ch/record/2778528 |