First image of a black hole reworked with artificial intelligence

The supermassive black hole at the center of galaxy Messier 87 was revamped for the first time by a new machine-learning technique called PRIMO, or principal-component interferometric modeling. The redone image keeps the original shape of the black hole but increases the resolution, displaying a fuller center and narrower outer ring.

The image, published Thursday morning in the Astrophysical Journal Letters, will allow scientists to gain a better understanding of its characteristics and increase further research in additional galaxies, including the black hole at the heart of our Milky Way.Creators of PRIMO, a team of researchers along with an astronomer with NSF’s NOIRLab, used data received from the Event Horizon Telescope, which created the original image in 2019, to create a high-quality resolution.

“With our new machine learning technique, PRIMO, we were able to achieve the maximum resolution of the current array,” Lia Medeiros said, lead author of the Institute for Advanced Study. “Since we cannot study black holes up-close, the detail of an image plays a critical role in our ability to understand its behavior. 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.

The iconic image of the supermassive black hole at the center of Messier 87, has received its first official makeover, thanks to a new machine-learning technique known as PRIMO! https://t.co/Lg8yQl0kCk 🧵⬇️ pic.twitter.com/guYS1siJzsTo rework the image, computers analyzed more than 30,000 simulated images of black holes accreting gas, searching for common patterns in the structure of the image, and blended them to create a model.

“The 2019 image was just the beginning,” said Medeiros in the photo release. “If a picture is worth a thousand words, the data underlying that image have many more stories to tell. PRIMO will continue to be a critical tool in extracting such insights.”

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First-ever black hole image gets a sharp new AI makeoverThe image of the supermassive black hole at the heart of the galaxy Messier 87 was boosted to high fidelity by a machine learning program trained on black hole models. Can we just admire that it looked exactly as it was predicted? There are more phenomena that relativity predicts, and I wonder if those things are actually out there. This is all wrong from an empirical point of view. The AI is trained using General Relativity making the image biased. This does not help in testing GR in the strong gravity regime. So it's not scientific .
Source: SPACEdotcom - 🏆 92. / 67 Read more »

First image of a black hole gets a makeover with AIThe first image of a black hole captured in 2019 is getting a makeover. Researchers on Thursday revealed an updated version, which they made using artificial intelligence. The black hole still looks like a fuzzy, orange doughnut-shaped object in a galaxy 53 million light-years from Earth. But it now has a skinnier ring and a darker center, which researchers think is more accurate. The new image is based on the same data gathered by a network of radio telescopes, but researchers used machine learning to fill in the gaps. That's a nostril Just a reminder CNN anchor Don Lemon suggested a missing plane may have flown into a black hole. A fake AI imagine, excellent work
Source: AP - 🏆 728. / 51 Read more »