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 a lens model.

Tutorial 4: Dealing with Failure - What to do when PyAutoLens finds an inaccurate lens model.

Tutorial 5: Masking and Positions - How to mask and mark positions on your data to improve the lens model.

Tutorial 6: Results - Overview of the results available after successfully fitting a lens model.

Tutorial 7: Need for Speed - How to fit complex models whilst balancing efficiency and run-time.