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A new approach for CMS RPC current monitoring using Machine Learning techniques
The CMS experiment has 1054 RPCs in its muon system. Monitoring their currents is the first essential step towards maintaining the stability of the CMS RPC detector performance. The current depends on several parameters such as applied voltage, luminosity, environmental conditions, etc. Knowing the...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | https://dx.doi.org/10.1088/1748-0221/15/10/C10009 http://cds.cern.ch/record/2780117 |