Scientists at the University of Hawaii’s Mānoa Institute for Astronomy (IfA) have used AI to produce the world’s largest 3D catalog of stars, galaxies, and quasars. The team developed the map using an optical survey of three-quarters of the sky produced by the Pan-STARRS observatory on Haleakalā, Maui. They trained an algorithm to identify celestial objects in the survey by feeding it spectroscopic measurements that provide definitive object classifications and distances. “Utilizing a state-of-the-art optimization algorithm, we leveraged the spectroscopic training set of almost 4 million light sources to teach the neural network to predict source types and galaxy distances, while at…
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