publication . Article . Preprint . Research . Other literature type . 2018

The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package

Price-Whelan, A. M.; Sipőcz, B. M.; Günther, H. M.; Lim, P. L.; Crawford, S. M.; Conseil, S.; Shupe, D. L.; Craig, M. W.; Dencheva, N.; Ginsburg, A.; ...
  • Published: 01 Sep 2018
Abstract
The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package astropy, which serves as the foundation for more specialized projects and packages. In this article, we provide an overview of the organization of the Astropy project and summarize key features in the core package, as of the recent major release, version 2.0. We then describe the project infrastructure designed to facilitate and support development for a broader ecosystem of interoperable packages. We conclude with a future ou...
Subjects
free text keywords: data analysis [methods], miscellaneous [methods], statistical [methods], Physik, /dk/atira/pure/subjectarea/asjc/3100/3103, Astronomy and Astrophysics, /dk/atira/pure/subjectarea/asjc/1900/1912, Space and Planetary Science, methods: data analysis, methods: miscellaneous, methods: statistical, reference systems, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], [INFO]Computer Science [cs], Astrophysics - Instrumentation and Methods for Astrophysics, data analysis – methods: miscellaneous, methods: statistical – reference systems, ddc:530
Funded by
NSF| Early Robotic Spectra of Supernovae with FLOYDS
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1313484
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
71 references, page 1 of 5

Aldcroft, T. 2015, Astropy Proposal for Enhancement 6: Enhanced Character Separated Values table format (APE 6), doi:10.5281/zenodo.1043901. https: //doi.org/10.5281/zenodo.1043901 [OpenAIRE]

Banse, K., Ponz, D., Ounnas, C., Grosbol, P., & Warmels, R. 1988, in Instrumentation for Ground-Based Optical Astronomy, ed. L. B. Robinson, 431

Barbary, K. 2014, sncosmo v0.4.2, , , doi:10.5281/zenodo.11938. https: //doi.org/10.5281/zenodo.11938

Barrett, P. E., & Bridgman, W. T. 1999, in Astronomical Society of the Pacific Conference Series, Vol. 172, Astronomical Data Analysis Software and Systems VIII, ed. D. M. Mehringer, R. L. Plante, & D. A. Roberts, 483

Barron, E. G., Kaplan, G. H., Bangert, J., et al. 2011, in Bulletin of the American Astronomical Society, Vol. 43, American Astronomical Society Meeting Abstracts #217, 344.14

Beaumont, C., Robitaille, T., Borkin, M., & Goodman, A. 2014, glueviz v0.4: multidimensional data exploration, , , doi:10.5281/zenodo.13866. https: //doi.org/10.5281/zenodo.13866

Beerer, I. M., Koenig, X. P., Hora, J. L., et al. 2010, ApJ, 720, 679

Beers, T. C., Flynn, K., & Gebhardt, K. 1990, AJ, 100, 32

Behnel, S., Bradshaw, R., Citro, C., et al. 2011, Computing in Science Engineering, 13, 31

Berry, D. S., Warren-Smith, R. F., & Jenness, T. 2016, Astronomy and Computing, 15, 33

Bovy, J. 2015, ApJS, 216, 29

Bradley, L., Sipocz, B., Robitaille, T., et al. 2017, astropy/photutils: v0.4, , , doi:10.5281/zenodo.1039309. https: //doi.org/10.5281/zenodo.1039309

Bretthorst, G. L. 2003, Frequency estimation and generalized Lomb-Scargle periodograms, ed. E. D. Feigelson & G. J. Babu, 309-329

Craig, M. W., Crawford, S. M., Deil, C., et al. 2015, ccdproc: CCD data reduction software, Astrophysics Source Code Library, , , ascl:1510.007 [OpenAIRE]

Crawford, S., Earl, N., Ginsburg, A., & Tollerud, E. 2017, Vision for Astropy Spectroscopic Tools (APE 13), doi:10.5281/zenodo.1117943. https: //doi.org/10.5281/zenodo.1117943

71 references, page 1 of 5
Abstract
The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package astropy, which serves as the foundation for more specialized projects and packages. In this article, we provide an overview of the organization of the Astropy project and summarize key features in the core package, as of the recent major release, version 2.0. We then describe the project infrastructure designed to facilitate and support development for a broader ecosystem of interoperable packages. We conclude with a future ou...
Subjects
free text keywords: data analysis [methods], miscellaneous [methods], statistical [methods], Physik, /dk/atira/pure/subjectarea/asjc/3100/3103, Astronomy and Astrophysics, /dk/atira/pure/subjectarea/asjc/1900/1912, Space and Planetary Science, methods: data analysis, methods: miscellaneous, methods: statistical, reference systems, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], [INFO]Computer Science [cs], Astrophysics - Instrumentation and Methods for Astrophysics, data analysis – methods: miscellaneous, methods: statistical – reference systems, ddc:530
Funded by
NSF| Early Robotic Spectra of Supernovae with FLOYDS
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1313484
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
71 references, page 1 of 5

Aldcroft, T. 2015, Astropy Proposal for Enhancement 6: Enhanced Character Separated Values table format (APE 6), doi:10.5281/zenodo.1043901. https: //doi.org/10.5281/zenodo.1043901 [OpenAIRE]

Banse, K., Ponz, D., Ounnas, C., Grosbol, P., & Warmels, R. 1988, in Instrumentation for Ground-Based Optical Astronomy, ed. L. B. Robinson, 431

Barbary, K. 2014, sncosmo v0.4.2, , , doi:10.5281/zenodo.11938. https: //doi.org/10.5281/zenodo.11938

Barrett, P. E., & Bridgman, W. T. 1999, in Astronomical Society of the Pacific Conference Series, Vol. 172, Astronomical Data Analysis Software and Systems VIII, ed. D. M. Mehringer, R. L. Plante, & D. A. Roberts, 483

Barron, E. G., Kaplan, G. H., Bangert, J., et al. 2011, in Bulletin of the American Astronomical Society, Vol. 43, American Astronomical Society Meeting Abstracts #217, 344.14

Beaumont, C., Robitaille, T., Borkin, M., & Goodman, A. 2014, glueviz v0.4: multidimensional data exploration, , , doi:10.5281/zenodo.13866. https: //doi.org/10.5281/zenodo.13866

Beerer, I. M., Koenig, X. P., Hora, J. L., et al. 2010, ApJ, 720, 679

Beers, T. C., Flynn, K., & Gebhardt, K. 1990, AJ, 100, 32

Behnel, S., Bradshaw, R., Citro, C., et al. 2011, Computing in Science Engineering, 13, 31

Berry, D. S., Warren-Smith, R. F., & Jenness, T. 2016, Astronomy and Computing, 15, 33

Bovy, J. 2015, ApJS, 216, 29

Bradley, L., Sipocz, B., Robitaille, T., et al. 2017, astropy/photutils: v0.4, , , doi:10.5281/zenodo.1039309. https: //doi.org/10.5281/zenodo.1039309

Bretthorst, G. L. 2003, Frequency estimation and generalized Lomb-Scargle periodograms, ed. E. D. Feigelson & G. J. Babu, 309-329

Craig, M. W., Crawford, S. M., Deil, C., et al. 2015, ccdproc: CCD data reduction software, Astrophysics Source Code Library, , , ascl:1510.007 [OpenAIRE]

Crawford, S., Earl, N., Ginsburg, A., & Tollerud, E. 2017, Vision for Astropy Spectroscopic Tools (APE 13), doi:10.5281/zenodo.1117943. https: //doi.org/10.5281/zenodo.1117943

71 references, page 1 of 5
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