A Deep learning library for neutrino telescopes

Tree-level completions of LNV operators for neutrino-mass model building

Scalable Particle Imaging with Neural Embeddings

Application of ML for Neutrino Physics experiment LEGEND-200

An open source machine learning framework that provides predictions for all-energy neutrino structure functions.

Tensor based engine for calculating neutrino oscillation probabilities in a fast, flexible, and differentiable way

Reconstruction library for a 3D LiquidO detector

Convolutional networks (and CapsNET) for SuperNEMO tracker

Python-based charge propagation model for gaseous particle detectors

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.

Theoretical physics | Geometric unification: SM parameters from E₈×E₈ + G₂-holonomy K₇ topology. 39 observables at 0.128% precision, 0 adjustable params.