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:

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.

• Linkedin
• Email: [email protected]
• GitHub

This project was inspired by the work of researchers in the field of coronagraphy. We would like to thank the contributors to SolarSoft for their foundational work in this area.

This project is licensed under the MIT License - see the LICENSE file for details.

@misc{corkit,
  author = {Jorge Enciso},
  title = {Corkit: An Open-Source Coronagraph Data Downloader and Calibrator},
  howpublished = {\url{https://github.com/Jorgedavyd/CorKit}},
  year = {2024}
}