This repository contains result and scripts to accompany the paper "Scanning For Dark Matter Subhalos in textit{Hubble} Space Telescope Imaging of 54 Strong Lenses":.
https://arxiv.org/abs/2209.10566
The workspace includes the following main directories:
PyAuto: The PyAutoLens (and parent projects) source code used to generate the results and paper figures. Use
this via a GitHub clone to run the .sqlite files.
- slacs: The results of fits to the SLACS sample and visualization scripts to produce paper plots.
- bells: The results of fits to the BELLS-GALLERY sample and visualization scripts to produce paper plots.
- subhalo: The scripts used to generate latex tables and figures in the paper.
The slacs/output and bells/output folders contain folders with with following information for the lens light,
mass and subhalo models fitted to every lens:
model.info: The model parameterization and priors.model.results: The inferred model parameters (maximum likelihood, 1 and 3 sigma confidence intervals).search.summary: A summary of the _dynesty_ non-linear search.image: Images showing the results of the fit, triangle plots and other quantities.
Due to GitHub file size limits the following results are not included:
- The Source pipeline results which perform model-fits initializing the source pixelization.
- The
imagefolder of every fit of the subhale grid search (subhalo[2]_mass[total]_source_subhalo[search_lens_plane]). - The ``dynesty` samples of every fit.
Sqlite3 databases containing all of the results, including the full Dynesty samples, can be found at the following Zenodo links:
https://zenodo.org/record/7051604#.YxjdFdTML-g
These databases are required to reproduce the majority of visuals in the paper via the scripts on this repository.