The Universe is filled with supermassive black holes. Almost every galaxy in the cosmos has one, and they are the most well-studied black holes by astronomers. But one thing we still don’t understand is just how they grew so massive so quickly. To answer that, astronomers have to identify lots of black holes in the early Universe, and since they are typically found in merging galaxies, that means astronomers have to identify early galaxies accurately. By hand. But thanks to the power of machine learning, that’s changing.
Brian Koberlein is an astrophysicist and author known for his work in the field of astrophysics and science communication. He writes for various publications, including Universe Today, ScienceAlert, and the National Radio Astronomy Observatory. His articles cover a wide range of topics in astrophysics, from exoplanets and neutron stars to dark matter and the early universe.