The Hunt for Missing Black Holes in the Early Universe

Astronomers are using machine learning algorithms to search for superluminous galaxies with massive black holes at their core in the early universe. The algorithm, trained with images of galaxies obtained in various wavelengths, predicts radio galaxies four times more effectively than conventional methods. By analyzing the machine learning models, researchers hope to gain insights into the physical phenomena occurring in these galaxies. The development of advanced techniques for processing and analyzing vast amounts of astronomical data is crucial as future sky surveys with radio telescopes are expected to reveal billions of galaxies.