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Unsupervised Anomaly Detection for the PLT Detector with the CMS Collaboration at the LHC
This document presents a concise report and review of the Summer Student Project developed towards applying effective machine learning analysis techniques for the unsupervised search of anomalies in the BRIL-PLT experimental data.
| Lenguaje: | eng |
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| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2826805 |