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ESA AI Flags About 1,400 Anomalies in Hubble Archive

The ESA-trained system triages Hubble’s vast archive to surface rare targets for expert follow-up.

Overview

  • AnomalyMatch, developed by ESA researchers David O’Ryan and Pablo Gómez, scanned nearly 100 million Hubble image cutouts in about two and a half days.
  • More than 800 of the flagged objects have not been previously described in the scientific literature, and several dozen remain unexplained.
  • Most candidates are unusual galaxies and gravitational lenses, with additional rare morphologies such as jellyfish galaxies, giant gas clumps, and edge-on planet-forming disks.
  • The highest-probability detections were manually inspected by the authors, and the findings were published in Astronomy & Astrophysics with example images released by ESA.
  • The approach is presented as a scalable path for forthcoming data-heavy surveys, including ESA’s Euclid, the Vera C. Rubin Observatory’s LSST, and NASA’s Roman Space Telescope.