lenstronomy II: A gravitational lensing software ecosystem
lenstronomy II: A gravitational lensing software ecosystem
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DOI：
10.21105/joss.03283
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
S. Birrer;A. Shajib;D. Gilman;A. Galan;J. Aalbers;M. Millon;R. Morgan;G. Pagano;Ji Won Park;L. Teodori;N. Tessore;Madison Ueland;L. V. D. Vyvere;S. Wagner-Carena;Ewoud Wempe;Lilan Yang;Xuheng Ding;T. Schmidt;D. Sluse;Ming Zhang;A. Amara
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文献类型：
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作者：
S. Birrer;A. Shajib;D. Gilman;A. Galan;J. Aalbers;M. Millon;R. Morgan;G. Pagano;Ji Won Park;L. Teodori;N. Tessore;Madison Ueland;L. V. D. Vyvere;S. Wagner-Carena;Ewoud Wempe;Lilan Yang;Xuheng Ding;T. Schmidt;D. Sluse;Ming Zhang;A. Amara
Lenstronomy是Astropy旗下的一个用于引力透镜模拟和分析的Python包。Lenstronomy是由Birrer和Amara(2018)提出的，并基于Birrer等人(2015)的线性基集方法。从那时起，透镜经济学的用户和开发人员基础大幅增长，该软件已经成为最近广泛分析的组成部分，例如用时延强透镜测量哈勃常数，或者根据已分辨和未分辨的小尺度透镜失真统计数据来约束暗物质的性质。模块化设计使社区能够结合创新的新方法，以及在lenstronomy API之上开发具有更具体目标的增强软件和包装器。通过社区的参与和参与，lenstronomy已经成为附属包生态系统的基础，扩展了软件的原始范围，并以开放源代码和可重现的方式在强大的引力透镜社区的前沿证明了其健壮性和适用性。
lenstronomy is an Astropy-affiliated Python package for gravitational lensing simulations and analyses. lenstronomy was introduced by Birrer and Amara (2018) and is based on the linear basis set approach by Birrer et a. (2015). The user and developer base of lenstronomy has substantially grown since then, and the software has become an integral part of a wide range of recent analyses, such as measuring the Hubble constant with time-delay strong lensing or constraining the nature of dark matter from resolved and unresolved small scale lensing distortion statistics. The modular design has allowed the community to incorporate innovative new methods, as well as to develop enhanced software and wrappers with more specific aims on top of the lenstronomy API. Through community engagement and involvement, lenstronomy has become a foundation of an ecosystem of affiliated packages extending the original scope of the software and proving its robustness and applicability at the forefront of the strong gravitational lensing community in an open source and reproducible manner.