A Deep learning library for neutrino telescopes
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Updated
Sep 19, 2024 - Python
A Deep learning library for neutrino telescopes
Python tools for working with the IceCube public data.
A lightweight event generator for new physics in neutrino-nucleus scattering.
Code for calculating Coherent Elastic Neutrino-Nucleus Scattering (CEvNS) cross sections and recoil spectra. Also includes code for obtaining New Physics constraints from the COHERENT-2017 results.
Visualization of neutrino oscillations
Investigating coincident source-neutrino detections through simulations.
nuDoBe is a Python tool for neutrinoless double beta decay calculations based on an effective field theory approach.
{EPITECH} | Second year | Math project
Magnetic moments of astrophysical neutrino (supernova and ultra high-energy neutrinos)
Title: Convolution Neural Networks for the CHIPS Neutrino Detector R&D Project
NuSD is a Geant4-based simulation framework developed to perform simulation studies on various segmented scintillation detectors.
This code provides the possibility to perform gravitational waves follow-ups with a neutrino telescope.
Bayesian constraints on the astrophysical neutrino population from IceCube data
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