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, Nachiketa, Chakraborty, Jason Watson, Rub\'en L\'opez Coto, Stefan Klepser, Matteo, Cerruti, Jean-Philippe Lenain, Fabio Acero

TL;DR
Gammapy is a Python-based analysis tool for gamma-ray astronomy, designed to process data from various telescopes and serve as a prototype for CTA science tools, enabling detailed source analysis and simulation.
Contribution
This paper introduces Gammapy as a versatile, open-source Python package for gamma-ray data analysis, proposing it as a prototype for CTA science tools.
Findings
Successfully analyzed H.E.S.S. and Fermi-LAT data
Demonstrated application with simulated CTA data
Showcased capabilities for sky images, spectra, and lightcurves
Abstract
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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