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Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test
We propose an accurate and efficient machine learning approach for monitoring particle detectors in real-time. The goal is to assess the compatibility of incoming experimental data with a reference dataset, characterising the data behaviour under normal circumstances, via a likelihood-ratio hypothes...
| Autores principales: | , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/2632-2153/acebb7 http://cds.cern.ch/record/2854671 |