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Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities
The occurrence of vacuum arcs or radio frequency (rf) breakdowns is one of the most prevalent factors limiting the high-gradient performance of normal conducting rf cavities in particle accelerators. In this paper, we search for the existence of previously unrecognized features related to the incide...
| Những tác giả chính: | , , , , , , , , , , , , |
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| Ngôn ngữ: | eng |
| Được phát hành: |
2022
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://dx.doi.org/10.1103/PhysRevAccelBeams.25.104601 http://cds.cern.ch/record/2803014 |