Gammapy: high level data analysis for extragalactic science cases with the Cherenkov Telescope Array

TL;DR

Gammapy is an open-source Python package designed for high-level analysis and simulation of gamma-ray data, facilitating extragalactic science research with the upcoming Cherenkov Telescope Array.

Contribution

It introduces a versatile, community-driven software tool that enables advanced analysis of CTA data for extragalactic science cases, a novel resource for the field.

Findings

Demonstrated Gammapy's capabilities with CTA data analysis examples.

Showcased Gammapy's application to extragalactic science cases.

Validated Gammapy's effectiveness for high-level gamma-ray data analysis.

Abstract

The Cherenkov Telescope Array (CTA) observatory will probe the non-thermal universe above 20 GeV up to several hundreds of TeV with a significant improvement in sensitivity and angular resolution compared to current experiments. Its outstanding capabilities will allow to increase the number of extragalactic cosmic accelerators detected at very high energy (VHE) and therefore to better constrain the population of VHE accelerators and the gamma-ray absorption processes in the intergalactic medium. For the first time in the history of imaging atmospheric Cherenkov telescopes (IACTs), CTA will be an open observatory and high-level data will be made available to the astronomical community. Gammapy is an open-source Python package developed by the Cherenkov telescope community that provides tools to simulate the gamma-ray sky and analyse IACT data. The versatile architecture of, and steady user contributions to Gammapy enable a large variety of high-level data analyses. Examples of Gaammapy applications are presented, particularly in the context of extragalactic science with CTA.