![]() The 2019 image and its new companion were both based on data gathered from only a handful of locations on the planet, leaving big gaps in scientists’ view of the black hole. By combining data from these sources, scientists essentially constructed a telescope the size of Earth-powerful enough to capture details of bright matter swirling around the black hole.īut the EHT has a fundamental problem: its data are spotty, like a scene observed through a dirty window where light streamed through only a few patches. That behemoth is one of two main targets of the Event Horizon Telescope (EHT), a coalition of radio observatories located around the globe. At its heart is a black hole that contains some 6.5 billion times the mass of our sun. The galaxy M87 is located some 54 million light-years away from Earth. “This is a beautiful example of how things can improve, how you can see further, how you can see sharper, literally,” she says. ![]() “I think they really are in this nice niche where you develop a specific algorithm for a specific problem and put in physical knowledge and make significant progress,” says Tiziana Di Matteo, an astrophysicist at Carnegie Mellon University, who uses machine learning in her own work and wasn’t involved in the new research. The new image lays the groundwork for future advances in our understanding of black holes, scientists say. But research published in the Astrophysical Journal Letters on April 13 sharpens that view into a narrow ring against a stark, black background. The picture that captivated the world in 2019 showed a bright, blurry doughnut of light. The iconic first-ever view of a supermassive black hole sports a dramatic new look, thanks to machine learning.
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