pyshoc is a suite of object oriented tools for analysing data from the Sutherland High Speed Optical Cameras (SHOC). 📷🔭
pip install pyshocTo run the reduction pipeline on a set of fits files (observations of a single source):
pyshoc /path/to/data/folder -o /path/to/output/products -tel 74 --target "CTCV J1928-5001"- We are working on official documentation.
- For the moment the best place to see how to use pyshoc is the example notebook
Pull requests are welcome!
- Fork it (https://github.com/astromancer/pyshoc/fork)
- Create your feature branch (
git checkout -b feature/rad) - Commit your changes (
git commit -am 'Add some cool feature 😎') - Push to the branch (
git push origin feature/rad) - Create a new Pull Request
- e-mail: [email protected]
- see LICENSE
- 1.2.0