And if we have a smaller amount of matter falling in, it should create a thinner ring, right?" she says. "If we have more matter falling into the black hole, it'll create a thicker ring. It's a revelation that will help them understand what is happening as matter swirls around the black hole and falls in. "The fact that the ring width is smaller by about a factor of two is incredibly exciting," says Medeiros. And the resulting new image is consistent with the old one, but the ring of hot gasses swirling around the black hole is significantly thinner. The discovery comes three years after the Event Horizon Telescope Collaboration released the first-ever image of a black hole but that work focused on the center of galaxy Messier 87, tens. Learning the correlations between the bits of the images helped them better fill in the gaps created by missing data, she says. It's not that each pixel is doing completely independent things." "If you have an image, the pixels close to any given pixel are not completely uncorrelated. And so we do this by analyzing tens of thousands of high-resolution images that are created from simulations," says Medeiros. "What we really do is we learn the correlations between different parts of the image. The researchers used tens of thousands of images generated by black hole simulations to train their machine learning program. I was really involved in making that image," says astrophysicist Lia Medeiros of the Institute for Advanced Study in Princeton, N.
"We're very, very proud and we're really excited about that image. Two years later, with much fanfare, the international EHT team announced they'd produced the first image of M87. This is the black hole that was observed in 2017 by a network of telescopes around the world known as the Event Horizon Telescope, which together acted as a giant radio telescope the size of the Earth. The picture shows the M87 black hole, a large one about 55 million light years away that's thought to be 6.5 billion times more massive than the sun. It looks much larger and darker in the upgraded image, according to a new report in The Astrophysical Journal Letters. The black interior of this ring of hot gasses is an area of cosmic weirdness and such strong gravity that nothing, not even light, can escape. The first iconic image of a black hole looked like a fuzzy, orange donut, but now that picture has been sharpened up to a fiery ring, thanks to computer simulations and machine learning. REFITT "combs through millions of alerts" to help researchers find interesting phenomena in space - but for something hidden in plain sight, like Scary Barbie, the computer didn't even have a "template" to look for it.Researchers used computer simulations of black holes and machine learning to generate a revised version (right) of the famous first image of a black hole that was released back in 2019 (left). Mark Garlick/Science Photo Library via Getty Images "Scary Barbie" is the nickname astronomers are calling one of the most energetic and luminous transients ever observed: a supermassive black hole tearing apart a massive star. While the "outlier" death event lay undetected for years among other telescopic data, a Purdue lab's artificial intelligence engine - the Recommender Engine For Intelligent Transient Tracking (REFITT) - helped uncover the "terrifying" anomaly.
Scientists called it one of the "most luminous, energetic, long-lasting transient objects" found lurking in a forgotten corner of the night sky.īhagya Subrayan, a Purdue University graduate student, said researchers believe the black hole "pulled in a star and ripped it apart," in a brutal process called " spaghettification." The object, documented in The Astrophysical Journal Letters, was assigned a random designation, ZTF20abrbeie, leading to the creation of its trendy nickname. Astronomers have detected an impressive supermassive black hole devouring a star – and they've nicknamed it "Scary Barbie," in part because of its terrifying power.
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