Gammapy is a community-developed, open-source Python package for gamma-ray astronomy. It is a prototype for the CTA science tools. This page ( http://docs.gammapy.org ) contains the Gammapy documentation. The Gammapy webpage ( http://gammapy.org ) contains information about Gammapy, including news and contact information if you have any questions, want to report and issue or request a feature, or need help with anything Gammapy-related.
Getting started¶
Gammapy works with Python 2 and 3, on Linux, Mac OS X and (partly) Windows. See Installation for information how to get started and the Gammapy tutorial notebooks to start to learn how to use Gammapy.
Gammapy package¶
As mentioned in the Getting Started, the Gammapy package is structured as a series of sub-packages. We recommend that you start to learn Gammapy via the Gammapy tutorial notebooks, and then consult the following pages for further information about each sub-package. Those pages also contain very detailed reference documentation for every function and class in Gammapy.
- Astrophysical source and population models (
gammapy.astro) - Background estimation and modeling (
gammapy.background) - Source catalogs and objects (
gammapy.catalog) - Cube Style Analysis (
gammapy.cube) - Data and observation handling (
gammapy.data) - Access datasets (
gammapy.datasets) - Source detection tools (
gammapy.detect) - Image processing and analysis tools (
gammapy.image) - Instrument response function (IRF) functionality (
gammapy.irf) - Spectrum estimation and modeling (
gammapy.spectrum) - Statistics tools (
gammapy.stats) - Time handling and analysis (
gammapy.time) - Utility functions and classes (
gammapy.utils) - Data Structures for Images and Cubes (
gammapy.maps) - Command line tools (
gammapy.scripts)
Developer documentation¶
The Gammapy webpage contains information about the Gammapy project and team as well as information about Gammapy contact and communication channels. Most development takes place on the Gammapy GitHub page.