A Deep learning library for neutrino telescopes
MATLAB simulations for Earth modeling and antineutrino detection, direction, and ranging in geophysics and particle physics.
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-, three-, and four-flavor neutrino oscillation probabilities using SU(2), SU(3), and SU(4) expansions
Monte Carlo-based data analysis
Neutrino oscillation probability calculator
The official repository for MaCh3
Using deep learning techniques to measure neutrino oscillations. (MSci Project)
Summation method to evaluate (anti)neutrino spectrum from reactors
Quantum Simulations of three flavour Neutrino Oscillations using the PMNS theory, in a subspace of a two-qubit Hilbert space.
Python library for calculating flavour oscillation probability of neutrinos
Neutrino oscillations in vacuum for 2 and 3 flavors.
Numerical data associated to the results presented in the article "Probing new physics scenarios using high energy events at the NOvA far detector".
Contribution to the Harald Fritzsch Memorial Volume edited by Gerhard Buchalla, Dieter Lüst and Zhi-Zhong Xing.
Simulates three-flavor solar neutrino oscillations including the MSW matter effect, computing survival and conversion probabilities from the solar core to Earth.
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.
C++/ROOT data analysis pipeline for characterizing the cosmic muon flux during the filling phase of the JUNO Central Detector.
Visualization of neutrino oscillations
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