AI Unlocks Hundreds of Cosmic Anomalies in Hubble Archive

Hey, Space Placers!

Six Hubble images of distorted galaxies are organized in a two-row mosaic. From left to right, the top row of galaxies appears as follows: The left panel has a galaxy that resembles the number nine tilted on its side to the left and has red-orange regions scattered with blue knots. The center square shows an edge-on spiral galaxy appearing like a white thin bar extending from 8 o’clock to 2 o’clock. It has a bright, compact core and a small background spiral galaxy just below the core. The right panel shows two merging galaxies forming a convoluted shape that extends from 8 o’clock to 2 o’clock. The bottom row of galaxies appears as follows: Left square contains a face-on spiral with faint, broad arcs of material to its left and right. The center panel has a hazy white, face-on spiral with a lumpy vertical line to its right that appears to curve around its core. The right panel shows an orange elliptical galaxy with a lumpy blueish galaxy curving around it to the right.

Six previously undiscovered, weird, and fascinating astrophysical objects are displayed in this new image from NASA’s Hubble 
Space Telescope. They include three lenses with arcs distorted by gravity, one galactic merger, one ring galaxy, 
and one galaxy that defied classification.
NASA, ESA, David O'Ryan (ESA), Pablo Gómez (ESA), Mahdi Zamani (ESA/Hubble)

FROM NASA:

"A team of astronomers has employed a cutting-edge, artificial intelligence-assisted technique to uncover rare astronomical phenomena within archived data from NASA’s Hubble Space Telescope. The team analyzed nearly 100 million image cutouts from the Hubble Legacy Archive, each measuring just a few dozen pixels (7 to 8 arcseconds) on a side. They identified more than 1,300 objects with an odd appearance in just two and a half days — more than 800 of which had never been documented in scientific literature.

Most of the anomalies were galaxies undergoing mergers or interactions, which exhibit unusual morphologies or trailing, elongated streams of stars and gas. Others were gravitational lenses, where the gravity of a foreground galaxy distorts spacetime and bends light from a background galaxy into arcs or rings. Additional discoveries included galaxies with massive star-forming clumps, jellyfish-looking galaxies with gaseous “tentacles,” and edge-on planet-forming disks in our own galaxy resembling hamburgers. Remarkably, several dozen objects defied existing classification schemes entirely.

Identifying such a diverse array of rare objects within the vast and growing repository of Hubble and other telescope data presents a formidable challenge. Never in the history of astronomy has such a volume of observational data been available for analysis.

To address this challenge, researchers David O’Ryan and Pablo Gómez of ESA (the European Space Agency) developed an AI tool capable of inspecting millions of astronomical images in a fraction of the time required by human experts. Their neural network, named AnomalyMatch, was trained to detect rare and unusual objects by recognizing patterns in data — mimicking the way the human brain processes visual information."

FULL AND FASCINATING STORY HERE.

Sky Guy in ICE STATION VA 

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