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Developing Jet Vertex Tagger in larger pT range using neural network
The Jet Vertex Tagger (JVT) is designed for separating Hard-Scattering Jets from Pileup Jets, using machine learning techniques. Originally, a KNN-based algorithm was trained for the classification of the jet with in a pT range (20-50 GeV). The objective of this study is to extend it to a larger pT...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2682188 |