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Published February 26, 2019 | Version 1
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Building an open source software ecosystem for cross-disciplinary plasma research and education

  • 1. Center for Astrophysics | Harvard & Smithsonian
  • 2. University of Warsaw
  • 3. Aperio Software
  • 4. University of Delaware
  • 5. Los Alamos National Laboratory
  • 6. University of Michigan
  • 7. NASA Goddard Space Flight Center
  • 8. Athabasca University
  • 9. Stanford University
  • 10. Rice University
  • 11. Atmospheric and Space Technologies Research Associates (ASTRA) LLC
  • 12. SRI International
  • 13. MIT Haystack Observatory
  • 14. Space Sciences Laboratory, University of California Berkeley
  • 15. Max Planck Institute for Plasma Physics
  • 16. University of Southampton
  • 17. Trinity College Dublin and Dublin Institute for Advanced Studies
  • 18. European Space Agency
  • 19. Lockheed Martin Solar & Astrophysics Laboratory and Hansen Experimental Physics Laboratory, Stanford University
  • 20. Imperial College London
  • 21. National Astronomical Observatories, Chinese Academy of Sciences
  • 22. Department of Astrophysical Sciences, Princeton University
  • 23. Department of Physics & Astronomy, Swarthmore College
  • 24. General Atomics
  • 25. University of York, UK
  • 26. Cooperative Institute for Research in Environmental Sciences, University of Colorado and National Centers for Environmental Information, National Oceanic and Atmospheric Administration, Boulder, Colorado
  • 27. Department of Astronomy, Columbia University and Columbia Astrophysics Laboratory, Columbia University
  • 28. The Aerospace Corporation
  • 29. Department of Physics and Astronomy, George Mason University and Space Weather Laboratory, George Mason University
  • 30. Laboratoire de Physique des Plasmas, CNRS, Ecole polytechnique, Saclay, France
  • 31. Johns Hopkins University Applied Physics Laboratory

Description

We propose that the plasma physics community and funding agencies invest in an open source software ecosystem for plasma research and education.

Notes

This community paper was submitted to the Plasma 2020 decadal review of plasma physics.

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Plasma2020_OpenSourceEcosystem.pdf

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Additional details

References

  • D. Muna et al. (2016), "The Astropy Problem," arXiv:1610.03159
  • Astropy Collaboration et al. (2018), "The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package," Astronomical Journal 156, 123, doi:10.3847/1538-3881/aabc4f
  • SunPy Community et al. (2015), "SunPy – Python for solar physics," Computational Science and Discovery 8, 1, doi:10.1088/1749-4699/8/1/014009
  • A. Burrell et al. (2018), "Snakes on a Spaceship – An Overview of Python in Heliophysics," Journal of Geophysical Research 123, 10384, doi:10.1029/2018JA025877
  • PlasmaPy Community et al. (2018), "PlasmaPy: an open source community-developed Python package for plasma physics," Zenodo, doi:10.5281/zenodo.1238132
  • National Academies of Sciences, Engineering, and Medicine, "Open Source Software Policy Options for NASA Earth and Space Sciences" (National Academies Press, 2018).
  • S. Hettrick (2016), "Research Software Sustainability: Report on a Knowledge Exchange Workshop."
  • Mark D. Wilkinson et al. (2016), "The FAIR Guiding Principles for scientific data management and stewardship," Scientific Data 3, sdata201618, doi:10.1038/sdata.2016.18
  • Engineering and Physical Sciences Research Council, "Software as an infrastructure," (2012).
  • G. Wilson et al. (2014), "Best Practices for Scientific Computing," PLOS Biology 12, 1, doi:10.1371/journal.pbio.1001745
  • A. Scopatz and K. D. Huff, "Effective Computation in Physics: Field Guide to Research with Python" (O'Reilly Media, 2015).
  • B. K. Spears et al. (2018), "Deep learning: A guide for practitioners in the physical sciences," Physics of Plasmas 25, 080901, doi:10.1063/1.5020791
  • D. R. Smith et al., "Highlights from the community white paper 'Enhancing US fusion science with data- centric technologies'," in APS DPP Meeting Abstracts (2018).