Snakes on a Spaceship - An Overview of Python in Heliophysics

Computational analysis has become ubiquitous within the heliophysics community. However, community standards for peer review of codes and analysis have lagged behind these developments. This absence has contributed to the reproducibility crisis, where inadequate analysis descriptions and loss of sci...

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Bibliographic Details
Published in:Journal of geophysical research. Space physics Vol. 123; no. 12; pp. 10,384 - 10,402
Main Authors: Burrell, A.G., Halford, A., Klenzing, J., Stoneback, R. A., Morley, S. K., Annex, A. M., Laundal, K. M., Kellerman, A. C., Stansby, D., Ma, J.
Format: Journal Article
Language:English
Published: Goddard Space Flight Center AGU - American Geophysical Union 01.12.2018
Blackwell Publishing Ltd
American Geophysical Union (AGU)
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ISSN:2169-9380, 2169-9402
Online Access:Get full text
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Summary:Computational analysis has become ubiquitous within the heliophysics community. However, community standards for peer review of codes and analysis have lagged behind these developments. This absence has contributed to the reproducibility crisis, where inadequate analysis descriptions and loss of scientific data have made scientific studies difficult or impossible to replicate. The heliophysics community has responded to this challenge by expressing a desire for a more open, collaborative set of analysis tools. This article summarizes the current state of these efforts and presents an overview of many of the existing Python heliophysics tools. It also outlines the challenges facing community members who are working toward the goal of an open, collaborative, Python heliophysics toolkit and presents guidelines that can ease the transition from individualistic data analysis practices to an accountable, communalistic environment.
Bibliography:GSFC
E-ISSN: 2169-9402
GSFC-E-DAA-TN65979
ISSN: 2169-9380
Goddard Space Flight Center
Report Number: GSFC-E-DAA-TN65979
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
USDOE
20170047DR
ISSN:2169-9380
2169-9402
DOI:10.1029/2018JA025877