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

Python Submitted 28 October 2020 • Published 16 November 2020
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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 = {Will T. Barnes and Mark C. m. Cheung and Monica G. Bobra and Paul F. Boerner and Georgios Chintzoglou and Drew Leonard and Stuart J. Mumford and Nicholas Padmanabhan and Albert Y. Shih and Nina Shirman and David Stansby and Paul J. Wright}, title = {aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA}, journal = {Journal of Open Source Software} }
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