AI Analysis of Hubble Archives Reveals 800+ Astrophysical Anomalies
By
Robert Hart
A second-rack bagel that's nearly first-rack. Tasty stuff.
Summary
Astronomers at the European Space Agency used an AI model called AnomalyMatch to analyze Hubble Space Telescope's 35-year archive, discovering over 800 previously undocumented astrophysical anomalies. The AI processed 100 million image cutouts in just 2.5 days, flagging rare phenomena like merging galaxies and gravitational lenses for manual review by researchers.
Key quotes
· 4 pulledA pair of astronomers at the European Space Agency (ESA) discovered more than 800 previously undocumented 'astrophysical anomalies' hiding in Hubble's archives.
It's 'a treasure trove of data in which astrophysical anomalies might be found,' O'Ryan said in a statement.
AI model AnomalyMatch took just 2.5 days to flag rarities like merging galaxies and gravitational lenses from 100 million image cutouts in Hubble's archives.
Studying space is hard. There's lots of it, it's noisy, and the flood of data generated by tools like the Hubble Space Telescope can overwhelm even large teams.
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