2 papers
hep-ex2025
NuBench: An Open Benchmark for Deep Learning-Based Event Reconstruction in Neutrino Telescopes
Rasmus F. Orsoe, Stephan Meighen-Berger, Jeffrey Lazar +5
Neutrino telescopes are large-scale detectors designed to observe Cherenkov radiation produced from neutrino interactions in water or ice. They exist to identify extraterrestrial n…
astro-ph.IM2022
GraphNeT: Graph neural networks for neutrino telescope event reconstruction
Andreas Søgaard, Rasmus F. Ørsøe, Leon Bozianu +6
GraphNeT is an open-source python framework aimed at providing high quality, user friendly, end-to-end functionality to perform reconstruction tasks at neutrino telescopes using gr…