Chapter 2: Modeling#

In chapter 2, we’ll take you through how to model galaxies using a non-linear search.

The chapter contains the following tutorials:

Tutorial 1: Non-linear Search - How a non-linear search is used to fit a model and the concepts of a parameter space and priors.

Tutorial 2: Practicalities - Practicalities of performing model-fitting, like how to inspect the results on your hard-disk.

Tutorial 3: Realism and Complexity - Finding a balance between realism and complexity when composing and fitting a model.

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

Tutorial 5: Linear Profiles - Light profiles which capture complex morphologies in a reduced number of non-linear parameters.

Tutorial 6: Masking - How to mask your data to improve the model.

Tutorial 7: Results - Overview of the results available after successfully fitting a model.

Tutorial 8: Need for Speed - How to fit complex models whilst balancing efficiency and run-time.