A Deep learning library for neutrino telescopes
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Updated
Aug 15, 2024 - Python
A Deep learning library for neutrino telescopes
Monte Carlo-based data analysis
Code to compute exact two- and three-neutrino oscillation probabilities using SU(2) and SU(3) expansions
Neutrino oscillation probability calculator
The official repository for MaCh3
Global Neutrino Analysis
NeUtrino Detection and Ranging (NUDAR): earth modeling and neutrino detection simulation software
Neutrino oscillations in vacuum for 2 and 3 flavors.
Using deep learning techniques to measure neutrino oscillations. (MSci Project)
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.
Contribution to the Harald Fritzsch Memorial Volume edited by Gerhard Buchalla, Dieter Lüst and Zhi-Zhong Xing.
a lite version of codebase (with all assets removed) Only stores the most important scripts and programs
Visualization of neutrino oscillations
In this dataset, we have 130K observations with 50 features. The features are measurements of Cherenkov light and scintillation light using hit topology and timing. There are 36.5K observations for electron neutrinos and 93.5K observations for muon neutrinos, which yields an imbalance ratio of 0.39
Code for computing the bipolar neutrino oscillations in core-collapse supernovae.
recent neutrino physics papers monitor
Reconstructing the average antineutrino direction with the PROPSECT detector.
Tensor based neutrino oscillation probability calculator
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