HAWC Accelerated Likelihood - python-only framework for HAWC data analysis

A Python package for Poisson joint likelihood deconvolution

Gamma-ray Data Tools - Core Components

deep learning tools for cherenkov science

Code for collecting and visualization of astronomical data

Conda recipe files for the Fermi Sciencetools software analysis package: Fermitools

Gamma-ray Data Tools extensions for the Integral mission

Gamma-ray Data Tools - Fermi mission components

Gamma-ray Data Tools extensions for the RXTE mission

Gamma-ray Data Tools - Swift mission components

Gamma-ray Data Tools extensions for the Maxi mission

Gamma-ray Data Tools for the CGRO mission

Gamma-ray Data Tools extensions for the HETE 2 mission

This repository contains the Tensorflow implementation of the papers "Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets" (arXiv:2107.09070) and "The GCE in a New Light: Disentangling the γ-ray Sky with Bayesian Graph Convolutional Neural Networks" (arXiv:2006.12504).

HERMES is a publicly available computational framework for the line of sight integration over galactic radiative processes which creates sky maps in the HEALPix-compatibile format.

Main tools and results from arxiv:

Development of machine-learning-based tools for Compton and pair telescopes

a novel mount for the Cherenkov-plenoscope

IACT calibration framework

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