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QCD-Aware Neural Networks for Jet Physics

<!--HTML--><p>Recent progress in applying machine learning for jet physics has been built upon an analogy&nbsp;between calorimeters and images. In this work, we present a novel class of recursive neural&nbsp;networks built instead upon an analogy between QCD and natural languages...

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Detalles Bibliográficos
Autor principal: Cranmer, Kyle Stuart
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2266052