A Deep learning library for neutrino telescopes
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Updated
Aug 13, 2025 - Python
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.
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
The official repository for MaCh3
Global Neutrino Analysis
Using deep learning techniques to measure neutrino oscillations. (MSci Project)
NeUtrino Detection and Ranging (NUDAR): earth modeling and neutrino detection simulation software
Neutrino oscillations in vacuum for 2 and 3 flavors.
Contribution to the Harald Fritzsch Memorial Volume edited by Gerhard Buchalla, Dieter Lüst and Zhi-Zhong Xing.
Quantum Simulations of three flavour Neutrino Oscillations using the PMNS theory, in a subspace of a two-qubit Hilbert space.
Summation method to evaluate (anti)neutrino spectrum from reactors
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
A very simple analysis package for neutrino oscillation experiments.
a lite version of codebase (with all assets removed) Only stores the most important scripts and programs
Feasibility study of a tau appearance measurement with the ANTARES neutrino telescope. This is the open repository of my master thesis in the framework of the postgraduate in physics from the FAU Erlangen-Nuremberg.
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