The following papers use PyAutoLens:

Dark Matter

A forward-modelling method to infer the dark matter particle mass from strong gravitational lenses

Dark disk substructure and superfluid dark matter

Galaxy-galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes

Halo concentration strengthens dark matter constraints in galaxy–galaxy strong lensing analyses

Novel Substructure & Superfluid Dark Matter


Probing General Relativity in galactic scales at z ∼0.3

Why weak lensing cluster shapes are insensitive to self-interacting dark matter

Galaxy Formation & Evolution

Two-dimensional kinematics and dynamical modelling of the ‘Jackpot’ gravitational lens from deep MUSE observations

Beyond the bulge-halo conspiracy? Density profiles of Early-type galaxies from extended-source strong lensing

Galaxy structure with strong gravitational lensing: decomposing the internal mass distribution of massive elliptical galaxies

Microlensing and the type Ia supernova iPTF16geu

Lens Modeling / Theory

Strong gravitational lensings external shear is not shear

Automated galaxy-galaxy strong lens modelling: no lens left behind

Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling

Testing strong lensing subhalo detection with a cosmological simulation

Statistics / Machine Learning

A machine learning based approach to gravitational lens identification with the International LOFAR Telescope

Auto-identification of unphysical source reconstructions in strong gravitational lens modelling

Decoding Dark Matter Substructure without Supervision

Deep Learning the Morphology of Dark Matter Substructure

Domain Adaptation for Simulation-Based Dark Matter Searches Using Strong Gravitational Lensing

Likelihood-free MCMC with Amortized Approximate Likelihood Ratios

On machine learning search for gravitational lenses

Strong lens modelling: comparing and combining Bayesian neural networks and parametric profile fitting

Streamlined Lensed Quasar Identification in Multiband Images via Ensemble Networks

Source Science

A Glimpse of the Stellar Populations and Elemental Abundances of Gravitationally Lensed, Quiescent Galaxies at z≳1 with Keck Deep Spectroscopy

Discovery of a radio lobe in the Cloverleaf Quasar at z = 2.56

ALMA [{N} {II}] 205 μm Imaging Spectroscopy of the Lensed Submillimeter Galaxy ID 141 at Redshift 4.24

CO, H2O, H2O+ line & dust emission in a z = 3.63 strongly lensed starburst merger at sub-kiloparsec scales

The molecular-gas properties in the gravitationally lensed merger HATLAS J142935.3-002836

Modelling high-resolution ALMA observations of strongly lensed dusty star forming galaxies detected by Herschel

ALMA resolves the first strongly-lensed Optical/NIR-dark galaxy

The Two 𝑧 ∼ 13 Galaxy Candidates HD1 and HD2 Are Likely Not Lensed

The Way of Water: ALMA resolves H2O emission lines in a strongly lensed dusty star-forming galaxy at z ∼ 3.1

Characterisation of Herschel-selected strong lens candidates through HST and sub-mm/mm observations


When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multi-band Imaging Data

Modeling Strong Lenses from Wide-Field Ground-Based Observations in KiDS and GAMA

MNELLS: The MUSE Nearby Early-Type Galaxy Lens Locator Survey

Subaru FOCAS IFU observations of two z=0.12 strong-lensing elliptical galaxies from SDSS MaNGA