A Survey of Computational Tools in Solar Physics
dc.contributor.author | Bobra, Monica G. | en |
dc.contributor.author | Mumford, Stuart J. | en |
dc.contributor.author | Hewett, Russell J. | en |
dc.contributor.author | Christe, Steven D. | en |
dc.contributor.author | Reardon, Kevin | en |
dc.contributor.author | Savage, Sabrina | en |
dc.contributor.author | Ireland, Jack | en |
dc.contributor.author | Pereira, Tiago M. D. | en |
dc.contributor.author | Chen, Bin | en |
dc.contributor.author | Perez-Suarez, David | en |
dc.contributor.department | Mathematics | en |
dc.date.accessioned | 2021-01-05T14:13:20Z | en |
dc.date.available | 2021-01-05T14:13:20Z | en |
dc.date.issued | 2020-04-20 | en |
dc.description.abstract | The SunPy Project developed a 13-question survey to understand the software and hardware usage of the solar-physics community. Of the solar-physics community, 364 members across 35 countries responded to our survey. We found that 99 +/- 0.5 of respondents use software in their research and 66% use the Python scientific-software stack. Students are twice as likely as faculty, staff scientists, and researchers to use Python rather than Interactive Data Language (IDL). In this respect, the astrophysics and solar-physics communities differ widely: 78% of solar-physics faculty, staff scientists, and researchers in our sample uses IDL, compared with 44% of astrophysics faculty and scientists sampled by Momcheva and Tollerud (2015). 63 +/- 4 of respondents have not taken any computer-science courses at an undergraduate or graduate level. We also found that most respondents use consumer hardware to run software for solar-physics research. Although 82% of respondents work with data from space-based or ground-based missions, some of which (e.g. the Solar Dynamics Observatory and Daniel K. Inouye Solar Telescope) produce terabytes of data a day, 14% use a regional or national cluster, 5% use a commercial cloud provider, and 29% use exclusively a laptop or desktop. Finally, we found that 73 +/- 4 of respondents cite scientific software in their research, although only 42 +/- 3 do so routinely. | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1007/s11207-020-01622-2 | en |
dc.identifier.eissn | 1573-093X | en |
dc.identifier.issn | 0038-0938 | en |
dc.identifier.issue | 4 | en |
dc.identifier.other | 57 | en |
dc.identifier.uri | http://hdl.handle.net/10919/101738 | en |
dc.identifier.volume | 295 | en |
dc.language.iso | en | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Instrumentation and data management | en |
dc.title | A Survey of Computational Tools in Solar Physics | en |
dc.title.serial | Solar Physics | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
dc.type.dcmitype | StillImage | en |
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