For Star subscribers: A research team with Tucson ties has used a new imaging technique to produce a full-resolution version of the first picture ever captured of a black hole.
Henry Brean Astronomy’s famous orange bagel now resembles a menacing ring of fire, thanks to a new imaging technique that could help researchers learn more about black holes.
The improved picture, unveiled on Thursday, shows the same supermassive black hole 54 million light years from Earth, but the glowing, orange halo is much more defined, and so is the black circle in the middle of it. The difference in the two pictures is because of PRIMO, which stands for principal-component interferometric modeling. The process uses a complex algorithm and a type of machine learning that teaches computers to fill in the missing information in a picture by sifting through tens of thousands of simulated images based on what we know about black holes.
“Since we cannot study black holes up close, the detail in an image plays a critical role in our ability to understand its behavior,” said Event Horizon Telescope team member Lia Medeiros, who is leading the new imaging effort. “The width of the ring in the image is now smaller by about a factor of two, which will be a powerful constraint for our theoretical models and tests of gravity.”
— Feryal Ozel April 13, 2023Lauer said the phrase “machine learning” conjures sci-fi images of artificial intelligence, but PRIMO uses a much more structured, input-driven process.
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