"The model used by the astronomers, dubbed AnomalyMatch, scanned nearly 100 million image cutouts from the Hubble Legacy Archive, the first time the dataset has been systematically searched for anomalies. Think weirdly shaped galaxies, light warped by the gravity of massive objects, or planet-forming discs seen edge-on. AnomalyMatch took just two and a half days to go through the dataset, far faster than if a human research team had attempted the task."
"The findings, published in the journal Astronomy & Astrophysics, revealed nearly 1,400 "anomalous objects," most of which were galaxies merging or interacting. Other anomalies included gravitational lenses (light warped into circles or arcs by massive objects in front of them), jellyfish galaxies (which have dangling "tentacles" of gas), and galaxies with large clumps of stars. "Perhaps most intriguing of all, there were several dozen objects that defied classification altogether," said ESA in a blog post."
Two astronomers at the European Space Agency trained an AI model named AnomalyMatch to comb Hubble's 35-year dataset and identify astrophysical anomalies. AnomalyMatch scanned nearly 100 million image cutouts from the Hubble Legacy Archive in two and a half days, marking the first systematic anomaly search of that archive. The automated search flagged nearly 1,400 anomalous objects, including merging or interacting galaxies, gravitational lenses, jellyfish galaxies with gas "tentacles", and galaxies with large star clumps. More than 800 of the anomalies were previously undocumented, and several dozen objects defied classification.
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