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Machine Learning for Muon Identifcation at LHCb
Particle identifcation is a key ingredient of most of LHCb results. Muon identifcation in particular is used at every stage of the LHCb trigger. The objective of the muon identifcation is to distinguish muons from charged hadrons under strict timing constraints. For this task, we use a state-of-the-...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1525/1/012100 http://cds.cern.ch/record/2779640 |