corkit 1.0.15

Description:

corkit 1.0.15

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:

Key Features:


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.


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.


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.


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
Email: jorged.encyso@gmail.com
GitHub

Acknowledgements
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.
License
This project is licensed under the MIT License - see the 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}
}