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Other literature type . 2021
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Presentation . 2021
License: CC BY
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ZENODO
Presentation . 2021
License: CC BY
Data sources: Datacite
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PlasmaPy: current status, future directions, and ways to contribute

Authors: Murphy, Nicholas A.; Everson, Erik T.; Stańczak, Dominik; Heuer, Peter; Bryant, Khalil; Brown, Shane; Johnson, Elliot; +9 Authors

PlasmaPy: current status, future directions, and ways to contribute

Abstract

The mission of the PlasmaPy project is to foster the creation of a fully open source software ecosystem for plasma research and education. The PlasmaPy package is being developed to include the common core functionality needed by plasma physicists across disciplines. PlasmaPy prioritizes code readability, consistency, and maintainability while using best practices for scientific computing such as open development, version control, continuous integration testing, and code review. We will describe new capabilities of PlasmaPy including for plasma diagnostics such as synthetic charged particle radiography. We will present code development plans over the next year, in particular including expanded functionality for plasma diagnostics and simulations, as well as more integration with other community projects such as Gkeyll. Finally, we will discuss how to contribute to open source projects such as PlasmaPy.

This work has been partially supported by the National Science Foundation, NASA, and DOE.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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