A Deep learning library for neutrino telescopes

The GENIE Generator is a leading simulation tool for neutrino experiments, featuring a modular framework with advanced physics, BSM channels, and tuned models from global data analysis. It supports all neutrinos, targets, and energies (MeV–PeV), with tools for flux, geometry, event generation, and reweighting.

NeUtrino Detection and Ranging (NUDAR): earth modeling and neutrino detection simulation software

Code to compute exact two- and three-neutrino oscillation probabilities using SU(2) and SU(3) expansions

Monte Carlo-based data analysis

Neutrino oscillation probability calculator

🎲 Neutrino research

The official repository for MaCh3

Using deep learning techniques to measure neutrino oscillations. (MSci Project)

Foundational papers for the Symmetrical Convergence (SymC) framework. Establishes χ ≈ 1 as a universal stability boundary governing quantum-classical transitions, parameter emergence, and adaptive system behavior. The theoretical core from which all domain-specific applications derive.

Contribution to the Harald Fritzsch Memorial Volume edited by Gerhard Buchalla, Dieter Lüst and Zhi-Zhong Xing.

Summation method to evaluate (anti)neutrino spectrum from reactors

Neutrino oscillations in vacuum for 2 and 3 flavors.

Quantum Simulations of three flavour Neutrino Oscillations using the PMNS theory, in a subspace of a two-qubit Hilbert space‬.

Rafelski, J., Steinmetz, A., & Yang, C. T. Dynamic fermion flavor mixing through transition dipole moments. International Journal of Modern Physics A 38.31 (2023): 2350163.

Visualization of neutrino oscillations

Python library for calculating flavour oscillation probability of neutrinos

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

a lite version of codebase (with all assets removed) Only stores the most important scripts and programs