Authors
Christoph Deil, Roberta Zanin, Julien Lefaucheur, Catherine Boisson, Bruno Khélifi, Régis Terrier, Matthew Wood, Lars Mohrmann, Nachiketa Chakraborty, Jason Watson, Rubén López Coto, Stefan Klepser, Matteo Cerruti, Jean-Philippe Lenain, Fabio Acero, Arache Djannati-Ataï, Santiago Pita, Zeljka Bosnjak, José Enrique Ruiz, Cyril Trichard, Thomas Vuillaume, Axel Donath, Johannes King, Léa Jouvin, Ellis Owen, Manuel Paz Arribas, Brigitta Sipocz, Dirk Lennarz, Arjun Voruganti, Marion Spir-Jacob
Publication date
2017/9/6
Journal
arXiv preprint arXiv:1709.01751
Description
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.
Scholar articles
C Deil, R Zanin, J Lefaucheur, C Boisson, B Khélifi… - arXiv preprint arXiv:1709.01751, 2017