There are 4 repositories under gamma-ray-astronomy topic.
Conda recipe files for the Fermi Sciencetools software analysis package: Fermitools
Data formats for gamma-ray astronomy
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.
Tutorial for Fermi LAT analysis hands on session: CTA School 2017, Sao Paulo
First version of the code - last update Dec 2015
Implements synchrotron emission from cooling electrons
Fermi-LAT analysis lesson with FermiPy
Princeton Ph.D. dissertation, defended August 2018.
Inspired by a recent report that a long gamma-ray burst could be made from a binary neutron star merger, we search for asscoiated gravitational-wave signals and long gamma-ray bursts
Magnetar Propeller Model with Fallback Accretion
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
Main tools and results from arxiv:
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).
Module for the CRPropa code to calculate the effect of plasma instabilities on the development of electromagnetic cascades
Suite of code that models fallback accretion onto a magnetar and uses MCMC to fit this to samples of GRBs
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 background particles.
a novel mount for the Cherenkov-plenoscope
ROOT (Cern) macro to create a TeV gamma-ray source catalog plot.
A very high energy gamma-ray survey of unidentified EGRET sources
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
Gamma-ray Data Tools extensions for the Integral mission
deep learning tools for cherenkov science