Gammapy - A prototype for the CTA science tools

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.