A Deep learning library for neutrino telescopes
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Updated
May 7, 2024 - Python
A Deep learning library for neutrino telescopes
Tree-level completions of LNV operators for neutrino-mass model building
Global Neutrino Analysis
Application of ML for Neutrino Physics experiment LEGEND-200
Convolutional networks (and CapsNET) for SuperNEMO tracker
Monte Carlo based generator of neutrino induced dimuon events. Simulates muons from heavy quark (charm) production and Trident production. Container with all software dependencies provided for future developments.
Predictions for all-energy neutrino structure functions
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