Gammapy is an open-source Python package for gamma-ray astronomy. It has been chosen to be the @CTA_Observatory Cherenkov Telescope Array Science Tools (ST)
We are happy to announce that the 1st Gammapy paper has been published by A&A! 🚀✨
Thanks to everyone who contributed!
In your publication you can cite the A&A paper together with the Zenodo link to the version.
More info :
https://t.co/NgKcPYCsiE
After the recent v1.0 release, the gammapy team is proud to present you the accompanying paper on arXiv.
Another great milestone passed for 2023 ✅
A special thanks to all those who participated in this effort🙏
https://t.co/AdalXkPHKW
We are very happy 🎉 to announce the birth of the first LTS release of Gammapy v1.0. Most of the changes are in the package infrastructure and compliance with the @astropy affiliated packages has been improved.
As usual you may check out the changes in https://t.co/QbdCDZkZ8W
While working on the preparation of the @gammapyST 1.0 package for @DebianAstro I realized that they come with their own song! That is amazing! https://t.co/HPTLHwe0hs
On behalf of the gammapy team, our project manager and lead developer have received the French Open research software prize from the hand of the director of the CNRS ! 🏆🙏
We received the news in February but the in-person ceremony took place this week. 🎉
If you have questions, feedback or need help please use the GitHub Discussions forum or one of the alternative contacts listed on https://t.co/6WyUXlftj9
We are happy to announce the release of Gammapy v0.20. Thanks to all who contributed!
It comes with many new features, bug fixes, a new docs theme and improved API. In particular, support for energy dependent ON region spectral extraction has been added.
Being les last release before the v1.0 long term support version, the dependencies requirements have been raised with in particular astropy>=5.0 and python >=3.8 required.
We know you are using Gammapy 🥰 and we know you have some notebooks of your own. Then you should have a look at the Gammapy recipes repo and website and contribute, don't be shy.. 😃
In GitHub Discussions you may also find a space for questions and discussions about Gammapy and how to use it. You can ask for help, developers can gather feedback from users, and you can check the last news from the project 🆕
https://t.co/5UZCch9MBr