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Predicting RPC efficiency using machine learning and deep learning models
The report discusses main steps of retrieving RPC (Resistive Plate Chambers) data of multiple LHC (Large Hadron Collider) runs. The retrieved data contains different metrics that are being analyzed by the help of the main statistical methods. Once the data becomes familiar, different Machine Learning...
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2784121 |