Chapter 2: Lens Modeling#
In chapter 2, we’ll take you through how to model strong lenses using a non-linear search.
The chapter contains the following tutorials:
Tutorial 1: Lens Modeling - How a non-linear search is used to fit a lens model.
Tutorial 2: Parameter Space And Priors - The Concepts of a parameter space and priors.
Tutorial 3: Realism and Complexity - Finding a balance between realism and complexity when composing and fitting a lens model.
Tutorial 4: Dealing with Failure - What to do when PyAutoLens finds an inaccurate lens model.
Tutorial 5: Linear Profiles - Light profiles which capture complex morphologies in a reduced number of non-linear parameters.
Tutorial 6: Masking and Positions - How to mask and mark positions on your data to improve the lens model.
Tutorial 7: Results - Overview of the results available after successfully fitting a lens model.
Tutorial 8: Need for Speed - How to fit complex models whilst balancing efficiency and run-time.