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Gammapy - A prototype for the CTA science tools

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

Christoph Deil , Roberta Zanin , Julien Lefaucheur , Catherine Boisson , Bruno Khélifi , Régis Terrier , Matthew Wood , Lars Mohrmann
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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 (for the CTA Consortium) Axel Donath Johannes King Léa 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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Cited by 4 Pith papers

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  4. POSyTIVE -- a GRB population study for the Cherenkov Telescope Array (ICRC-2019)

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