Predictive Uncertainty in Gradient-Boosted Regression Trees : A Muon Energy Reconstruction Case Study
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Updated
Dec 19, 2023 - Python
Predictive Uncertainty in Gradient-Boosted Regression Trees : A Muon Energy Reconstruction Case Study
Positron's Milky Way Energy Loss using Operator learning
The LAGO Project Astroparticle physics course
Simplified cosmic-ray measurement database
This project is an astrophysical research that study a self-proposed semi-analytical method to simulate solar asmospheric gamma-ray flux.
Code to compute the self-generated TeV halos around pulsars
Simulation of the Optics of the Imaging Air-Cherenkov Telescopes IceAct with Geant4
Astrophysical Neutrino Anisotropy
SimProp is a Monte Carlo simulation code of ultra-high energy cosmic ray propagation.
Characterisation and detection of radiation at radio frequencies in cascades initiated by very high energies Cosmic Rays and Neutrinos
Simulation of the detector for the GRAMS experiment
This library contains the p+p->gamma production cross sections implemented in Python, C/C++, Fortran and Matlab. For details, see Phys.Rev. D90 (2014) 12, 123014
Curso de Astropartículas y Rayos Cósmicos
Database of published cosmic-ray energy spectra
Library to compute cross-sections and decay network of relevance for Galactic Cosmic Ray physics
Dark Matter Simulation Code for Underground Scatterings
Analysis pipeline capable of searching for dark compact objects in the Milky Way through astrometric lensing in real or mock Gaia DR4 data.
Deconvolution algorithms popular in Cherenkov astronomy
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