At the European Space Agency, David O’Ryan and Pablo Gómez have discovered hundreds of new astronomical objects in the vast archive of images transmitted to Earth by the Hubble Space Telescope over the past 36 years.
Using a neural network called AnomalyMatch, trained to detect unusual patterns, they found galaxies galore, with peculiar shapes that astronomers had not previously seen through manual inspection of Hubble data.
“Of course people look at the exciting new generation of telescopes coming online but this work shows how AI can enhance the scientific return from archival data sets,” Gómez says. “They are treasure troves in which we can still find very exciting things.”
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