lenstronomy II: A gravitational lensing software ecosystem

Type: Article

Publication Date: 2021-06-08

Citations: 9

DOI: https://doi.org/10.21105/joss.03283

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.

Locations

  • The Journal of Open Source Software - View - PDF
  • UCL Discovery (University College London) - View - PDF
  • arXiv (Cornell University) - View - PDF
  • ORBi (University of LiĂšge) - View - PDF
  • CERN Document Server (European Organization for Nuclear Research) - View - PDF
  • DataCite API - View

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+ PDF Chat Multiscale cluster lens mass mapping - I. Strong lensing modelling 2009 Eric Jullo
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+ PDF Chat Astropy: A community Python package for astronomy 2013 Thomas Robitaille
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+ PDF Chat Gravitationally lensed quasars and supernovae in future wide-field optical imaging surveys 2010 Masamune Oguri
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+ A genetic algorithm for the non-parametric inversion of strong lensing systems 2006 Jori Liesenborgs
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