A deep learning framework for analysis of astronomical images

Researchers have developed a model for generating pixel-level morphological classifications of astronomical sources. Morpheus can analyze astronomical image data pixel-by-pixel to identify and classify all of the galaxies and stars in large data sets from astronomy surveys. Morphology represents the structural end state of the galaxy formation process, and astronomers have long connected the morphological character of galaxies to the physics of their formation. Therefore, being able to measure such morphologies is a very important task in observational astronomy. There are a number of models that have addressed many of these requirements in complimentary ways.