autolens_workspace contains Jupyter notebooks describing the (log) likelihood functions used by PyAutoLens.
The notebooks provide a step-by-step guide of how PyAutoLens fits strong lens data, with the aim to make the analysis clear to readers without background experience in strong lens modeling and make the modeling less of a “black box”.
We recommend that when writing a paper using PyAutoLens the author links to this GitHub repository when describing their likelihood function.
Links to every notebook are provided at the GitHub repository linked to below. We recommend authors link to this
GitHub repository (as opposed to direct links to each) because the URLs to notebooks on the
may change after papers are published.
By linking to this repository a permanent URL is provided.