The following links are to the relevant sections of jupyter notebooks.
These show what our Continuous Intergration end-to-end tests are doing.
These show how we build of Gaussian Mixture model for galaxies we are intersted in.
Read about the project here. Obiwan creates millions of images of fake galaxies. If they are representative fo real galaxies, a Neural Network should not be able to tell them apart.
Example code is below.
Look at the outputs from the first test run on 10 deg2 of sky.