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Machine Learning Techniques for Optics Measurements and Corrections
Recently, various efforts have presented Machine Learning (ML) as a powerful tool for solving accelerator problems. In the LHC a decision tree-based algorithm has been applied to detect erroneous beam position monitors demonstrating successful results in operation. Supervised regression models train...
Autores principales: | Fol, Elena, Franchetti, Giuliano, Tomás García, Rogelio |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.18429/JACoW-IPAC2020-WEVIR12 http://cds.cern.ch/record/2799969 |
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