Back to Search Start Over

lenstronomy II: A gravitational lensing software ecosystem

Authors :
Daniel Gilman
Sebastian Wagner-Carena
Luca Teodori
Ji Won Park
Ming Zhang
Lilan Yang
Simon Birrer
Xuheng Ding
Madison Ueland
Anowar J. Shajib
Giulia Pagano
Dominique Sluse
Adam Amara
Ewoud Wempe
A. Galan
Nicolas Tessore
Jelle Aalbers
Robert Morgan
M. Millon
Thomas Schmidt
Lyne Van de Vyvere
Source :
Journal of Open Source Software
Publication Year :
2021

Abstract

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.<br />Comment: published by JOSS. Software available at https://github.com/sibirrer/lenstronomy. Comments, issues and pull requests welcome!

Details

Language :
English
Database :
OpenAIRE
Journal :
Journal of Open Source Software
Accession number :
edsair.doi.dedup.....69ff9932c06f3fe82776fcfeab978022