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Graph neural network for 3D classification of ambiguities and optical crosstalk in scintillator-based neutrino detectors
Deep-learning tools are being used extensively in high energy physics and are becoming central in the reconstruction of neutrino interactions in particle detectors. In this work, we report on the performance of a graph neural network in assisting with particle set event reconstruction. The three-dim...
| Autores principales: | , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1103/PhysRevD.103.032005 http://cds.cern.ch/record/2731980 |