Gammapy is a Python package for high-level gamma-ray data analysis built on Numpy, Scipy and Astropy. It enables us to analyze gamma-ray data and to create sky images, spectra and lightcurves, from event lists and instrument response information, and to determine the position, morphology and spectra of gamma-ray sources. So far Gammapy has mostly been used to analyze data from H.E.S.S. and Fermi-LAT, and is now being used for the simulation and analysis of observations from the Cherenkov Telescope Array (CTA). We have proposed Gammapy as a prototype for the CTA science tools. This contribution gives an overview of the Gammapy package and project and shows an analysis application example with simulated CTA data.
@article{arxiv.1709.01751,
title = {Gammapy - A prototype for the CTA science tools},
author = {Christoph Deil and Roberta Zanin and Julien Lefaucheur and Catherine Boisson and Bruno Khélifi and Régis Terrier and Matthew Wood and Lars Mohrmann and Nachiketa Chakraborty and Jason Watson and Rubén López Coto and Stefan Klepser and Matteo Cerruti and Jean-Philippe Lenain and Fabio Acero and Arache Djannati-Ataï and Santiago Pita and Zeljka Bosnjak and José Enrique Ruiz and Cyril Trichard and Thomas Vuillaume and Axel Donath and Johannes King and Léa Jouvin and Ellis Owen and Manuel Paz Arribas and Brigitta Sipocz and Dirk Lennarz and Arjun Voruganti and Marion Spir-Jacob},
journal= {arXiv preprint arXiv:1709.01751},
year = {2019}
}
Comments
Proc. 35th ICRC, Busan, South Korea, PoS(ICRC2017)766