A Deep learning library for neutrino telescopes
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Updated
Jul 16, 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
Contribution to the Harald Fritzsch Memorial Volume edited by Gerhard Buchalla, Dieter Lüst and Zhi-Zhong Xing.
Neutrino oscillations in vacuum for 2 and 3 flavors.
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.
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
Visualization of neutrino oscillations
Code for computing the bipolar neutrino oscillations in core-collapse supernovae.
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.
a lite version of codebase (with all assets removed) Only stores the most important scripts and programs
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