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Supervised learning-based reconstruction of magnet errors in circular accelerators
Magnetic field errors and misalignments cause optics perturbations, which can lead to machine safety issues and performance degradation. The correlation between magnetic errors and deviations of the measured optics functions from design can be used in order to build supervised learning models able t...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1140/epjp/s13360-021-01348-5 http://cds.cern.ch/record/2764908 |