deep learning tools for cherenkov science

Gamma-ray Data Tools extensions for the Integral mission

Gamma-ray Data Tools extensions for the Maxi mission

Gamma-ray Data Tools for the CGRO mission

Proceedings paper for IAU Perseus Symposium

Gamma-ray Data Tools extensions for the RXTE mission

Gamma-ray Data Tools - Swift mission components

Supplementary material for the paper "Morphological and spectral properties of the W51 region measured with the MAGIC telescopes".

Gamma-ray Data Tools extensions for the HETE 2 mission

Tool for the planning of observations with configurability that is often needed for IACTs

A very high energy gamma-ray survey of unidentified EGRET sources

ROOT (Cern) macro to create a TeV gamma-ray source catalog plot.

This project contains the code to perform a task of Particle identification (PID) in Astrophysics, comparing Deep Learning and Classical Machine Learning approaches. Data are provided by Agile team (http://agile.rm.iasf.cnr.it/) and the goal of the analysis is to provide a Statistical model which is able to distinguish gamma-ray photon for backg…

Welcome to the MAGIC Gamma Telescope project! 🌌 The mission is to classify gamma rays and hadrons in astrophysics using machine learning techniques like Logistic Regression, Decision Tree, Random Forest, and Ensemble. Unraveling the universe's mysteries! 🚀 #Astrophysics #MachineLearning

a novel mount for the Cherenkov-plenoscope

A Python package for Poisson joint likelihood deconvolution

Gamma-ray Data Tools - Fermi mission components

Suite of code that models fallback accretion onto a magnetar and uses MCMC to fit this to samples of GRBs

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