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Boosted Decision Trees in the Level-1 Muon Endcap Trigger at CMS
The first implementation of a Machine Learning Algorithm inside a Level-1 trigger system at the LHC is presented. The Endcap Muon Track Finder (EMTF) at CMS uses Boosted Decision Trees (BDTs) to infer the momentum of muons in the forward region of the detector, based on 25 different variables. Combi...
| Autores principales: | , , , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1085/4/042042 http://cds.cern.ch/record/2290188 |