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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| Vydáno v: | Journal of geophysical research. Space physics Ročník 123; číslo 12; s. 10,384 - 10,402 |
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| Hlavní autoři: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Goddard Space Flight Center
AGU - American Geophysical Union
01.12.2018
Blackwell Publishing Ltd American Geophysical Union (AGU) |
| Témata: | |
| ISSN: | 2169-9380, 2169-9402 |
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| Abstract | 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. |
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| AbstractList | 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. 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. As computers have become more powerful and better at solving complex mathematical equations, space scientists have relied more and more on computational tools. Community standards for peer review of computer codes and similar analysis tools have not kept pace with the development of these technologies. This lag in community accountability has contributed to a crisis in the scientific literature, where it has been hard or even impossible to verify past studies. Space scientists have responded to this challenge with a desire for open, shared analysis tools. This article summarizes the current state of these efforts and presents an overview of many of the existing Python analysis tools used in space physics. It also outlines the challenges facing scientists who are working toward the goal of an open, shared, Python space science toolkit and presents guidelines that can ease the transition from private to public data analysis practices. A wealth of Python analysis tools exists to support space physics research Open‐source tools aid reproducible science Collaborative programming is essential for analysis tools to keep pace with scientific progress 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. Plain Language Summary As computers have become more powerful and better at solving complex mathematical equations, space scientists have relied more and more on computational tools. Community standards for peer review of computer codes and similar analysis tools have not kept pace with the development of these technologies. This lag in community accountability has contributed to a crisis in the scientific literature, where it has been hard or even impossible to verify past studies. Space scientists have responded to this challenge with a desire for open, shared analysis tools. This article summarizes the current state of these efforts and presents an overview of many of the existing Python analysis tools used in space physics. It also outlines the challenges facing scientists who are working toward the goal of an open, shared, Python space science toolkit and presents guidelines that can ease the transition from private to public data analysis practices. Key Points A wealth of Python analysis tools exists to support space physics research Open‐source tools aid reproducible science Collaborative programming is essential for analysis tools to keep pace with scientific progress |
| Audience | PUBLIC |
| Author | Burrell, A.G. Klenzing, J. Halford, A. Morley, S. K. Laundal, K. M. Kellerman, A. C. Stansby, D. Ma, J. Annex, A. M. Stoneback, R. A. |
| Author_xml | – sequence: 1 givenname: A.G. surname: Burrell fullname: Burrell, A.G. organization: Naval Research Lab – sequence: 2 givenname: A. surname: Halford fullname: Halford, A. organization: Aerospace Corp – sequence: 3 givenname: J. surname: Klenzing fullname: Klenzing, J. organization: NASA Goddard Space Flight Center – sequence: 4 givenname: R. A. surname: Stoneback fullname: Stoneback, R. A. organization: Texas Univ. at Dallas – sequence: 5 givenname: S. K. surname: Morley fullname: Morley, S. K. organization: Los Alamos National Laboratory – sequence: 6 givenname: A. M. surname: Annex fullname: Annex, A. M. organization: Johns Hopkins Univ – sequence: 7 givenname: K. M. surname: Laundal fullname: Laundal, K. M. organization: University of Bergen – sequence: 8 givenname: A. C. surname: Kellerman fullname: Kellerman, A. C. organization: California Univ – sequence: 9 givenname: D. surname: Stansby fullname: Stansby, D. organization: Imperial College London – sequence: 10 givenname: J. surname: Ma fullname: Ma, J. organization: Naval Research Lab |
| BackLink | https://www.osti.gov/biblio/1487158$$D View this record in Osti.gov |
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| Copyright | Copyright Determination: GOV_PUBLIC_USE_PERMITTED Published 2018. This article is a U.S. Government work and is in the public domain in the USA. 2018. American Geophysical Union. All Rights Reserved. |
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| Title | Snakes on a Spaceship - An Overview of Python in Heliophysics |
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