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Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators
Radio Frequency (RF) breakdowns are one of the most prevalent limits in RF cavities for particle accelerators. During a breakdown, field enhancement associated with small deformations on the cavity surface results in electrical arcs. Such arcs degrade a passing beam and if they occur frequently, the...
| Autores principales: | , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
JACoW
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.18429/JACoW-IPAC2021-MOPAB344 http://cds.cern.ch/record/2806714 |