A Deep learning library for neutrino telescopes
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Updated
May 28, 2024 - Python
A Deep learning library for neutrino telescopes
A lightweight event generator for new physics in neutrino-nucleus scattering.
Reconstructing the average antineutrino direction with the PROPSECT detector.
UCL PHAS0056 (Machine Learning for Physicists) Final Project. Applying ML techniques to the binary classification and energy reconstruction of simulated neutrino events in LArTPCs
Contribution to the Harald Fritzsch Memorial Volume edited by Gerhard Buchalla, Dieter Lüst and Zhi-Zhong Xing.
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.
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.
This repo is the codes used for the neutrino/W bosons reconstruction from fully leptonic decay related to the Bell Study in the HWW* decay at the ATLAS experiment, CERN.
Python tools for working with the IceCube public data.
A Monte Carlo simulation of the electromagnetic cascade to compute the neutrino spectrum from cascade development.
This repository contains the code used to perform the analysis described in the paper "A stacked search for spatial coincidences between IceCube neutrinos and radio pulsars" (https://arxiv.org/abs/2306.03427). The code is written in Python 3.10 and uses the following packages: numpy, scipy, matplotlib, pandas, numba, multiprocessing.
Steinmetz, A. Modern topics in relativistic spin dynamics and magnetism. PhD dissertation. University of Arizona, 2023.
Rafelski, J., Birrell, J., Steinmetz, A. and Yang, C.T. A short survey of matter-antimatter evolution in the primordial universe. Universe 9.7 (2023): 309.
This code provides the possibility to perform gravitational waves follow-ups with a neutrino telescope.
nuDoBe is a Python tool for neutrinoless double beta decay calculations based on an effective field theory approach.
The goal of this competition is to predict a neutrino particle’s direction, with a model based on data from the "IceCube" detector.
NuSD is a Geant4-based simulation framework developed to perform simulation studies on various segmented scintillation detectors.
Calculation of the effective number of neutrino species Neff in the Standard Model considering QED corrections but neglecting neutrino oscillations.
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