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Anomaly detection using Deep Autoencoders for the assessment of the quality of the data acquired by the CMS experiment
The certification of the CMS experiment data as usable for physics analysis is a crucial task to ensure the quality of all physics results published by the collaboration. Currently, the certification conducted by human experts is labor intensive and based on the scrutiny of distributions integrated...
| Autores principales: | , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201921406008 http://cds.cern.ch/record/2650715 |