aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA

Python Submitted 28 October 2020Published 16 November 2020
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Editor: @arfon (all papers)
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Authors

Will T. Barnes (0000-0001-9642-6089), Mark C. m. Cheung (0000-0003-2110-9753), Monica G. Bobra (0000-0002-5662-9604), Paul F. Boerner (0000-0002-4490-9860), Georgios Chintzoglou (0000-0002-1253-8882), Drew Leonard (0000-0001-5270-7487), Stuart J. Mumford (0000-0003-4217-4642), Nicholas Padmanabhan (0000-0001-8067-6788), Albert Y. Shih (0000-0001-6874-2594), Nina Shirman (0000-0001-7136-8628), David Stansby (0000-0002-1365-1908), Paul J. Wright (0000-0001-9021-611X)

Citation

Barnes et al., (2020). aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA. Journal of Open Source Software, 5(55), 2801, https://doi.org/10.21105/joss.02801

@article{Barnes2020, doi = {10.21105/joss.02801}, url = {https://doi.org/10.21105/joss.02801}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {55}, pages = {2801}, author = {Barnes, Will T. and Cheung, Mark C. m. and Bobra, Monica G. and Boerner, Paul F. and Chintzoglou, Georgios and Leonard, Drew and Mumford, Stuart J. and Padmanabhan, Nicholas and Shih, Albert Y. and Shirman, Nina and Stansby, David and Wright, Paul J.}, title = {aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA}, journal = {Journal of Open Source Software} }
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