Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms by John Peterson, The Conversation ...

To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere and telescope to reach its sensor.

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.