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Event vertex reconstruction with deep neural networks for the DarkSide-20k experiment

<!--HTML-->While deep learning techniques are becoming increasingly more popular in high-energy and, since recently, neutrino experiments, they are less confidently used in direct dark matter searches based on dual-phase noble gas TPCs optimized for low-energy signals from particle interaction...

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Detalles Bibliográficos
Autor principal: Goicoechea Casanueva, Victor
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2767162