Speaker
Description
Gammapy is an open-source Python framework for gamma-ray astronomy. Built on the scientific Python ecosystem and using community-supported open data standards, it provides a unified platform for data reduction and modeling across a wide range of high-energy instruments, enabling interoperability between observatories and supports comprehensive joint analyses. Since its start in 2014 as a lightweight toolbox for TeV data studies, Gammapy has matured into a powerful, flexible analysis environment backed by an active and steadily expanding user community, and provides analysis support for major Imaging Atmospheric Cherenkov Telescopes including H.E.S.S., VERITAS, MAGIC, LST1, ASTRI; Water Cherenkov Telescopes like HAWC and SWGO, as well as Fermi-LAT.
In this contribution, we present the main concepts and features of the library and expose the variety of scientific use cases it supports. We will highlight the features of the latest stable release, and discuss plans for future development like support for Bayesian analysis, unbinned likelihood, improved timing analysis and interoperability with other packages for using physical models.
