Chapter 3: Pixelizations

In chapter 3, we use Pixelizations to reconstruct complex source galaxies on pixelized grids.

The chapter contains the following tutorials:

Tutorial 1: Pixelizations - Creating a pixel-grid in the source-plane.

Tutorial 2: Mappers - How a pixelization maps source-pixels to image-pixels.

Tutorial 3: Inversions - Inverting the mappings to reconstruct the source’s light.

Tutorial 4: Bayesian Regularization - Smoothing the source within a Bayesian framework.

Tutorial 5: Bayesian Formalism - The linear algebra and Bayesian evidence equations behind pixelized source reconstruction.

Tutorial 6: Borders - Preventing highly demagnified image-pixels ruining the inversion.

Tutorial 7: Lens Modeling - How to use inversions to fit a lens model.

Tutorial 8: Adaptive Pixelization - A Delaunay mesh which adapts to the mass model’s magnification.

Tutorial 9: Model Fit - An example lens modeling pipeline which uses an inversion.

Tutorial 10: Fit Problems - The shortcomings of our lens models and inversions.

Tutorial 11: Brightness Adaption - Adapting the pixelization to the source’s morphology.

Tutorial 12: Adaptive Regularization - Adapting the regularization to the source’s morphology.