PyAutoLens: Open-Source Strong Gravitational Lensing

Nightingale, James; Hayes, Richard; Kelly, Ashley; Amvrosiadis, Aristeidis; Etherington, Amy; He, Qiuhan; Li, Nan; Cao, XiaoYue; Frawley, Jonathan; Cole, Shaun; Enia, Andrea; Frenk, Carlos; Harvey, David; Li, Ran; Massey, Richard; Negrello, Mattia; Robertson, Andrew

doi:10.21105/joss.02825

PyAutoLens: Open-Source Strong Gravitational Lensing

Nightingale, James; Hayes, Richard; Kelly, Ashley; Amvrosiadis, Aristeidis; Etherington, Amy; He, Qiuhan; Li, Nan; Cao, XiaoYue; Frawley, Jonathan; Cole, Shaun; Enia, Andrea; Frenk, Carlos; Harvey, David; Li, Ran; Massey, Richard; Negrello, Mattia; Robertson, Andrew

Authors

James Nightingale james.w.nightingale@durham.ac.uk
Academic Visitor

Richard Hayes

Ashley Kelly a.j.kelly@durham.ac.uk
PGR Student Doctor of Philosophy

Aristeidis Amvrosiadis aristeidis.amvrosiadis@durham.ac.uk
Post Doctoral Research Associate

Amy Etherington amy.etherington@durham.ac.uk
PGR Student Doctor of Philosophy

Dr Qiuhan He qiuhan.he@durham.ac.uk
Post Doctoral Research Associate

Nan Li

XiaoYue Cao

Jonathan Frawley

Professor Shaun Cole shaun.cole@durham.ac.uk
Director of the Institute for Computational Cosmology

Andrea Enia

Professor Carlos Frenk c.s.frenk@durham.ac.uk
Professor

David Harvey

Ran Li

Professor Richard Massey r.j.massey@durham.ac.uk
Professor

Mattia Negrello

Dr Andrew Robertson andrew.robertson@durham.ac.uk
Academic Visitor

Abstract

Strong gravitational lensing, which can make a background source galaxy appears multiple times due to its light rays being deflected by the mass of one or more foreground lens galaxies, provides astronomers with a powerful tool to study dark matter, cosmology and the most distant Universe. PyAutoLens is an open-source Python 3.6+ package for strong gravitational lensing, with core features including fully automated strong lens modeling of galaxies and galaxy clusters, support for direct imaging and interferometer datasets and comprehensive tools for simulating samples of strong lenses. The API allows users to perform ray-tracing by using analytic light and mass profiles to build strong lens systems. Accompanying PyAutoLens is the autolens workspace, which includes example scripts, lens datasets and the HowToLens lectures in Jupyter notebook format which introduce non-experts to strong lensing using PyAutoLens. Readers can try PyAutoLens right now by going to the introduction Jupyter notebook on Binder or checkout the readthedocs for a complete overview of PyAutoLens’s features.

Citation

Nightingale, J., Hayes, R., Kelly, A., Amvrosiadis, A., Etherington, A., He, Q., …Robertson, A. (2021). PyAutoLens: Open-Source Strong Gravitational Lensing. The Journal of Open Source Software, 6(58), Article 2825. https://doi.org/10.21105/joss.02825

Journal Article Type	Article
Online Publication Date	Feb 20, 2021
Publication Date	2021-02
Deposit Date	May 14, 2021
Publicly Available Date	Jul 16, 2021
Journal	The Journal of Open Source Software
Electronic ISSN	2475-9066
Publisher	Open Journals
Peer Reviewed	Peer Reviewed
Volume	6
Issue	58
Article Number	2825
DOI	https://doi.org/10.21105/joss.02825

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