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Deep learning for certification of the quality of the data acquired by the CMS Experiment
Certifying the data recorded by the Compact Muon Solenoid (CMS) experiment at CERN is a crucial and demanding task as the data is used for publication of physics results. Anomalies caused by detector malfunctioning or sub-optimal data processing are difficult to enumerate a priori and occur rarely,...
| Autores principales: | , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
IOP
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1525/1/012045 http://cds.cern.ch/record/2725220 |