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Plasmapy: Beginning A Community Developed Python Package For Plasma Physics

Authors: Murphy, Nicholas A.; Huang, Yi-Min; PlasmaPy Community;

Plasmapy: Beginning A Community Developed Python Package For Plasma Physics

Abstract

In recent years, researchers in several disciplines have collaborated on community-developed open source Python packages such as Astropy, SunPy, and SpacePy. These packages provide core functionality, common frameworks for data analysis and visualization, and educational tools. We propose that our community begins the development of PlasmaPy: a new open source core Python package for plasma physics. PlasmaPy could include commonly used functions in plasma physics, easy-to-use plasma simulation codes, Grad-Shafranov solvers, eigenmode solvers, and tools to analyze both simulations and experiments. The development will include modern programming practices such as version control, embedding documentation in the code, unit tests, and avoiding premature optimization. We will describe early code development on PlasmaPy, and discuss plans moving forward. The success of PlasmaPy depends on active community involvement and a welcoming and inclusive environment, so anyone interested in joining this collaboration should contact the authors.

{"references": ["Astropy Collaboration et al. (2013), Astronomy and Astrophysics, 558, A33, doi:10.1051/0004-6361/201322068", "SunPy Community et al. (2015), Computational Science and Discovery, 8, 014009, doi:10.1088/1749-4699/8/1/014009", "Morley et al. (2014), Astrophysics Source Code Library, record ascl:1401.002", "Wilson et al. (2014), PLOS Biology, 12, e1001745, doi:10.1371/journal.pbio.1001745", "Muna et al. (2016), arXiv:1610.03159"]}

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Keywords

plasma physics, open source software, Python

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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