Astropy的综述文章

Astropy的综述文章

用这篇文章来对Astropy有个全面的和有逻辑的了解再适合不过了.

arXiv:2206.14220 [pdf, other]

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim, Nicholas Earl, Nathaniel Starkman, Larry Bradley, David L. Shupe, Aarya A. Patil, Lia Corrales, C. E. Brasseur, Maximilian Nöthe, Axel Donath, Erik Tollerud, Brett M. Morris, Adam Ginsburg, Eero Vaher, Benjamin A. Weaver, James Tocknell, William Jamieson, Marten H. van Kerkwijk, Thomas P. Robitaille, Bruce Merry, Matteo Bachetti, H. Moritz Günther, Thomas L. Aldcroft, Jaime A. Alvarado-Montes, Anne M. Archibald, Attila Bódi, Shreyas Bapat, Geert Barentsen, Juanjo Bazán, Manish Biswas, Médéric Boquien, D. J. Burke, Daria Cara, Mihai Cara, Kyle E Conroy, Simon Conseil, Matthew W. Craig, Robert M. Cross, Kelle L. Cruz, Francesco D'Eugenio, Nadia Dencheva, Hadrien A. R. Devillepoix, Jörg P. Dietrich, et al. (91 additional authors not shown)

Comments: 43 pages, 5 figures. To appear in ApJ. The author list has two parts: the authors that made significant contributions to the writing and/or coordination of the paper, followed by maintainers of and contributors to the Astropy Project. The position in the author list does not correspond to contributions to the Astropy Project as a whole

Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM)

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 summarize key features in the core package as of the recent major release, version 5.0, and provide major updates for the Project. We then discuss supporting a broader ecosystem of interoperable packages, including connections with several astronomical observatories and missions. We also revisit the future outlook of the Astropy Project and the current status of Learn Astropy. We conclude by raising and discussing the current and future challenges facing the Project.

来源： https://arxiv.org/list/astro-ph/new

也介绍了一下各个语言的流行度, IDL正在没落, Julia在强势崛起(好用啊), Python还是碾压, Fortran居然还略有上升(应该是因为大量大型计算都必须用它).

除了一些整体情况, 还有astropy的新技能 

可以包含误差棒,  astropy.uncertainties

可以进行时许分析,  astropy.timeseries , 甚至包含

还有folding

可以读fits格式数据

附件列表