The Sloan Digital Sky Survey telescope on the ground has captured a vast amount of quasar spectra from the early universe. A trained AI deep neural network has, for the first time, discovered record-breaking, weak neutral carbon absorption line probes created by the cold medium of early galaxies within this quasar spectral data. Credit: YI Yuechen
Scientists used deep learning to analyze quasar spectral data from SDSS-III, successfully detecting 107 rare neutral carbon absorbers and providing new insights into early galaxy evolution. Their methods could change how astronomers use AI to study the universe, complementing other research tools like the DOI: 10.1093/mnras/stae799