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Prediction of RPC efficiency using machine learning techniques
In this work, K-NN classification and regression models are used to estimate the efficiency for the Resistive Plate Chambers (RPC) of the Compact Muon Solenoid (CMS), one of the Large Hadron Collider (LHC) experiments located at CERN between the French and Swiss border. Measurable detector quantitie...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2780387 |