https://github.com/jorgedavyd/corkit
Open source coronagraph data downloader and calibrator
https://github.com/jorgedavyd/corkit
astrophysics coronagraph deep-learning lasco machine-learning secchi soho solar-physics space stereo sun
Last synced: 9 months ago
JSON representation
Open source coronagraph data downloader and calibrator
- Host: GitHub
- URL: https://github.com/jorgedavyd/corkit
- Owner: Jorgedavyd
- License: mit
- Created: 2024-03-22T14:54:29.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-23T21:11:33.000Z (over 1 year ago)
- Last Synced: 2024-04-24T20:04:54.656Z (over 1 year ago)
- Topics: astrophysics, coronagraph, deep-learning, lasco, machine-learning, secchi, soho, solar-physics, space, stereo, sun
- Language: Jupyter Notebook
- Homepage:
- Size: 5.13 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://pypi.org/project/corkit)

[](https://opensource.org/licenses/MIT)
[](https://github.com/psf/black)


CorKit
Coronagraph Science Kit
**CorKit** is an open-source Python library designed to streamline the
retrieval and preprocessing of solar coronagraph data. Its primary aim
is to democratize access to coronagraph data, enabling a broader community
of solar scientists to engage in research without the need for proprietary
software like IDL. It's derived from [Solarsoft](https://www.lmsal.com/solarsoft/):
## Key Features:
1. **Open Source Accessibility**: **CorKit** removes barriers to entry by providing
free access to solar coronagraph data. Its open-source nature ensures that researchers,
educators, and enthusiasts can easily retrieve and analyze data without worrying about
proprietary software licenses.
2. **User-Friendly Interface**: With simple and intuitive methods, **CorKit** makes it
effortless for users to retrieve and preprocess coronagraph data. This user-centric
approach allows researchers to focus more on their scientific analysis and less on
navigating complex data retrieval processes.
3. **Advancing Solar Science**: By empowering researchers with the tools needed to
preprocess and analyze coronagraph data, **CorKit** contributes to the advancement of
solar science. Researchers can explore the intricate connections between the Sun and Earth,
leading to new insights and discoveries.
4. **Community Collaboration**: **CorKit** fosters collaboration and knowledge sharing
within the solar science community. By providing a common platform for data access and
preprocessing, the library encourages interdisciplinary collaborations and accelerates
scientific progress.
## Coronagraph data supported

## Contact
- [Linkedin](https://www.linkedin.com/in/jorge-david-enciso-mart%C3%ADnez-149977265/)
- Email: jorged.encyso@gmail.com
- [GitHub](https://github.com/Jorgedavyd)
## Acknowledgements
This project was inspired by the work of researchers in the field of coronagraphy. We would like to thank the contributors to [SolarSoft](https://www.lmsal.com/solarsoft/) for their foundational work in this area.
## License
This project is licensed under the MIT License - see the [LICENSE](https://raw.githubusercontent.com/Jorgedavyd/CorKit/main/LICENSE) file for details.
## Citation
```
@misc{corkit,
author = {Jorge Enciso},
title = {Corkit: An Open-Source Coronagraph Data Downloader and Calibrator},
howpublished = {\url{https://github.com/Jorgedavyd/CorKit}},
year = {2024}
}
```