What is Gammapy?
Gammapy is an open-source Python package for gamma-ray analysis built on Numpy and Astropy. Is is a prototype for the Cherenkov Telescope Array (CTA) science tools, and can be used to analyse data from existing gamma-ray telescopes.
Gammapy is a community-developed, open-source Python package for gamma-ray astronomy. It is an in-development affiliated package of Astropy that builds on the core scientific Python stack to provide tools to simulate and analyse the gamma-ray sky for telescopes such as CTA, H.E.S.S., VERITAS, MAGIC, HAWC and Fermi-LAT. Gammapy is a place for Python-coding gamma-ray astronomers to share their code and collaborate. Feature requests and contributions welcome! Likelihood fitting of the morphology and spectrum of gamma-ray sources (using Sherpa), including multi-mission joint likelihood analysis and physical SED modeling (using Naima) is one important feature we’re working on. But Gammapy has a broader scope, we currently have code e.g. for data handling, background modeling, source detection, easy access to c ommonly used datasets and catalogs, statistical methods, even simulating Galactic source populations.
If you use Gammapy for work/research in a publication, we ask that you cite the Gammapy proceeding (Deil et al. 2017).
We provide the following as a standard acknowledgment you can use if there is not a specific place to cite the paper:
This research made use of Gammapy, a community-developed core Python package for gamma-ray astronomy (Deil et al. 2017)
If you are giving a presentation or talk featuring work/research that makes use of Gammapy we would like to ask you to acknowledge Gammapy by using this logo
- A&A 632, A72 (2019) - “Validation of open-source science tools and background model construction in γ-ray astronomy”
- A&A 625, A10 (2019) - “Towards open and reproducible multi-instrument analysis in gamma-ray astronomy”
- 2015ICRC…34..789D - “Gammapy: An open-source Python package for gamma-ray astronomy”
- 2017ICRC...35..766D - “Gammapy - A prototype for the CTA science tools”