TL;DR
Lenstronomy is a versatile open-source Python package for gravitational lens modeling, capable of reconstructing mass and light distributions, supporting complex source and point source modeling, and used for various cosmological measurements.
Contribution
It introduces a flexible, stable, and accurate software tool for gravitational lens analysis, supporting diverse models and applications in cosmology.
Findings
Used for dark matter constraints in strong lenses
Applied in measuring the universe's expansion via time-delay cosmography
Utilized for cosmic shear analysis with Einstein rings
Abstract
We present Lenstronomy, a multi-purpose open-source gravitational lens modeling python package. Lenstronomy is able to reconstruct the lens mass and surface brightness distributions of strong lensing systems using forward modelling. Lenstronomy supports a wide range of analytic lens and light models in arbitrary combination. The software is also able to reconstruct complex extended sources (Birrer et. al 2015) as well as being able to model point sources. We designed Lenstronomy to be stable, flexible and numerically accurate, with a clear user interface that could be deployed across different platforms. Throughout its development, we have actively used Lenstronomy to make several measurements including deriving constraints on dark matter properties in strong lenses, measuring the expansion history of the universe with time-delay cosmography, measuring cosmic shear with Einstein rings…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
