Automated galaxy-galaxy strong lens modelling: no lens left behind (Q6702150)

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 withthe 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 simulatedmock data discussed in the paper. Reproducing figures in the paper also requires interfacing with the PyAutoLensdatabase feature. Due to changes in version number and backwards compatibilityissues with results, we have opted not to include these scripts in this release. Well 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.