Researchers at the University of Maryland have identified a dormant supermassive black hole located approximately 30,000 light-years from the center of its host galaxy. The discovery was made possible when the black hole tore apart a nearby star, producing a bright flash of light that revealed its otherwise invisible presence. Findings were published in The Astrophysical Journal Letters on July 27, 2026, and represent the first confirmed detection of an inactive supermassive black hole at such a great distance from a galactic core.
Scientists have long theorized that black holes could be displaced from galactic centers during collisions and mergers between galaxies, becoming what researchers call “wandering” black holes. Detecting these objects presents significant challenges because most are quiescent, meaning they emit no detectable radiation and remain invisible to conventional observation methods. The research team developed an artificial intelligence program capable of identifying the distinctive light patterns produced by tidal disruption events, where a black hole’s gravity tears apart a passing star. After beginning operations in August 2025, the AI system identified the relevant event only three months later.
The newly discovered black hole’s mass is comparable to the supermassive black hole at the center of the Milky Way, yet it appears to lack a visible galaxy around it, according to study co-author Sylvain Veilleux. Researchers believe the object’s unusual position likely resulted from past galactic interactions. One possibility involves a large galaxy absorbing a smaller companion and stripping away most of its stars over time, leaving only the central black hole behind. Another scenario involves interactions among three black holes that could have expelled one from the galactic center.
The findings have significant implications for understanding black hole populations and galaxy formation. Most known black holes are dormant, making the study of inactive objects particularly important. Future observations with advanced telescopes such as the Vera C. Rubin Observatory, which debuted last June, are expected to identify dozens or potentially hundreds of additional wandering black holes annually. The discovery also demonstrates that machine learning combined with conventional sky surveys offers an effective and cost-efficient method for detecting these elusive objects, potentially opening new research avenues in astronomy.
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