Gammapy - A prototype for the CTA science tools
C. Deil, R. Zanin, J. Lefaucheur*, C. Boisson, B. Khelifi, R. Terrier,
M. Wood, L. Mohrmann, N. Chakraborty, J.J. Watson, R. Lopez-Coto, S. Klepser, M. Cerruti, J.P. Lenain, F. Acero, A. Djannati-Ataï, S. Pita, Z. Bosnjak, C. Trichard, T. Vuillaume, A. Donath on behalf of the CTA Consortium, J. King, L. Jouvin, E. Owen, B. Sipocz, D. Lennarz, A. Voruganti, M. Spir-Jacob, J. Enrique Ruiz and M. Paz Arribaset al. (click to show)
August 16, 2017
August 03, 2018
Gammapy is a Python package for high-level gamma-ray data analysis built on Numpy, Scipy and Astropy. It enables to analyse gamma-ray data and to create sky images, spectra and lightcurves, from event lists and instrument response information, as to determine the position, morphology and spectra of gamma-ray sources.
So far Gammapy has mostly been used to analyse 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 shows an analysis application example with simulated CTA data.
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