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          Institute: MPI für Astronomie     Collection: Publikationen_mpia     Display Documents



ID: 729971.0, MPI für Astronomie / Publikationen_mpia
SunPy—Python for solar physics
Authors:SunPy Community, T.; Mumford, S. J.; Christe, S.; Pérez-Suárez, D.; Ireland, J.; Shih, A. Y.; Inglis, A. R.; Liedtke, S.; Hewett, R. J.; Mayer, F.; Hughitt, K.; Freij, N.; Meszaros, T.; Bennett, S. M.; Malocha, M.; Evans, J.; Agrawal, A.; Leonard, A. J.; Robitaille, T. P.; Mampaey, B.; Iván Campos-Rozo, J.; Kirk, M. S.
Date of Publication (YYYY-MM-DD):2015
Title of Journal:Computational Science and Discovery
Volume:8
Start Page:id. 014009 (23 pp)
Audience:Not Specified
Abstract / Description:This paper presents SunPy (version 0.5), a community-developed Python package for solar physics. Python, a free, cross-platform, general-purpose, high-level programming language, has seen widespread adoption among the scientific community, resulting in the availability of a large number of software packages, from numerical computation (NumPy, SciPy) and machine learning (scikit-learn) to visualization and plotting (matplotlib). SunPy is a data-analysis environment specializing in providing the software necessary to analyse solar and heliospheric data in Python. SunPy is open-source software (BSD licence) and has an open and transparent development workflow that anyone can contribute to. SunPy provides access to solar data through integration with the Virtual Solar Observatory (VSO), the Heliophysics Event Knowledgebase (HEK), and the HELiophysics Integrated Observatory (HELIO) webservices. It currently supports image data from major solar missions (e.g., SDO, SOHO, STEREO, and IRIS), time-series data from missions such as GOES, SDO/EVE, and PROBA2/LYRA, and radio spectra from e-Callisto and STEREO/SWAVES. We describe SunPy's functionality, provide examples of solar data analysis in SunPy, and show how Python-based solar data-analysis can leverage the many existing tools already available in Python. We discuss the future goals of the project and encourage interested users to become involved in the planning and development of SunPy.
External Publication Status:published
Document Type:Article
Communicated by:N. N.
Affiliations:MPI für Astronomie
Identifiers:URL:http://cdsads.u-strasbg.fr/abs/2015CS%26D....8a400...
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