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arxiv: 1709.01751 · v1 · pith:BTXQPC2O · submitted 2017-09-06 · astro-ph.IM

Gammapy - A prototype for the CTA science tools

Christoph Deil , Roberta Zanin , Julien Lefaucheur , Catherine Boisson , Bruno Kh\'elifi , R\'egis Terrier , Matthew Wood , Lars Mohrmann
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Nachiketa Chakraborty Jason Watson Rub\'en L\'opez Coto Stefan Klepser Matteo Cerruti Jean-Philippe Lenain Fabio Acero Arache Djannati-Ata\"i Santiago Pita Zeljka Bosnjak Jos\'e Enrique Ruiz Cyril Trichard Thomas Vuillaume (for the CTA Consortium) Axel Donath Johannes King L\'ea Jouvin Ellis Owen Manuel Paz Arribas Brigitta Sipocz Dirk Lennarz Arjun Voruganti Marion Spir-Jacob
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classification astro-ph.IM
keywords gammapydataanalysisgamma-rayanalyzepackageprototypescience
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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.

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