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Physics Object Localization with Point Cloud Segmentation Networks
In modern particle physics experiments, the identification and trajectory of physics object, e.g. leptons and jets, depends on a complex pipeline of feature extraction, search, and machine learning algorithms. Deep neural networks (DNNs) offer a possibility of streamlining this process. This note de...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2753414 |