Machine Learning Uncovers New Insights, Challenging Galaxy Formation Theories

Recent research has revealed that galaxies in denser environments tend to be significantly larger than isolated ones, challenging existing theories of galaxy formation.

This discovery was made possible by machine learning and extensive data from millions of galaxies. The findings raise new questions about the role of dark matter and galaxy mergers in shaping the cosmos.

Galaxies in Dense vs. Isolated Environments
For decades, scientists have known that some galaxies reside in dense environments with lots of other galaxies nearby. Others drift through the cosmos essentially alone, with few or no other galaxies in their corner of the universe.