Automated galaxy-galaxy strong lens modelling: no lens left behind
Authors/Creators
- 1. Durham University
- 2. National Astronomical Observatories, Chinese Academy of Sciences
- 3. Jet Propulsion Laboratory, California Institute of Technology
- 4. Academia Sinica Institute of Astronomy and Astrophysics
Description
This dataset comprises lens model-fits to 59 strong lenses from the SLACS and BELLS-GALLERY samples, contained in the paper "Automated galaxy-galaxy strong lens modelling: no lens left behind" by Etherington et al..
For every model-fit of every strong lens this dataset includes:
- A `model.info` file with the priors and values of every parameter.
- A `model.results` file with the parameter estimates and errors.
- An `image` folder containing .png files showing different aspects of the overall fit.
Due to file size limitations, we do not include the full dynesty nested sampling chains and do not include fits to the simulated mock data discussed in the paper.
Reproducing figures in the paper also requires interfacing with the PyAutoLens database feature. Due to changes in version number and backwards compatibility issues with results, we have opted not to include these scripts in this release. We'll aim to do better in the future!
Please feel free to contact me (james.w.nightingale@durham.ac.uk) for any missing data or help with reproducing visuals.
Files
autolens_etherington_0.zip
Files
(2.7 GB)
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md5:1ce502a032f1c6215f3ff7830e940003
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