If the first image of a black hole looked like a fuzzy doughnut, this one is a thin onion ring.
Using a machine learning technique, scientists have sharpened the portrait of the supermassive black hole at the center of galaxy M87, revealing a thinner halo of glowing gas than seen previously.. The picture was the first ever taken of a black hole and showed a blurry orange ring of swirling gas silhouetted by the dark behemoth. TheAstrophysical Journal LettersScientists created a new, sharper version of the first image of a black hole.
The Event Horizon Telescope takes data using a network of telescopes across the globe. But that technique leaves holes in the data. “Since we can’t just cover the entire Earth in telescopes, what that means is that there is some missing information,” says astrophysicist Lia Medeiros of the Institute for Advanced Study in Princeton, N.J. “We need to have an algorithm that can fill in those gaps.”
Previous analyses had used certain assumptions to fill in those gaps, such as preferring an image that is smooth. But the new technique uses machine learning to fill in those gaps based on over 30,000 simulated images of matter swirling around a black hole, creating a sharper image. In the future, this technique could help scientists get a better handle on the black hole’s mass and perform improved tests of gravity and other studies of black hole physics.
could have done it with Lightroom
I remember that one fine summer of 2019 when mankind achieved this feat
Q
The shape of black holes is well explained by “Laws of Nature”. Existing gravity and astrophysics theory cannot explain the torus （ring）shaped black hole.
Maybe you should go get a closer look!
To be fair, I could have done that on Photo Shop
I don't understand. There is a glow around the Black Hole? Then why is it black facing me? Shouldn't it also be red?
We need to step back from the implementing what we cannot observe as a substitute for what we can. Machine learning manipulations of data sets will lead to monumental misinterpretations of data due to bias or limited programming, as well with false color imaging.
Somebody used an AI to draw thinner lines
... and how has a sharper image of that distant, mysterious object in deep Space, by any measure, had an impact on serious problems we face right here, right now, on Earth? Pocohrs... not a bad question...
That's fantastic news! Example of how cutting-edge technology can advance our understanding of the universe. This achievement could pave the way for even more exciting discoveries in the future.
Oh and was just watching an doc. Someone saying if intelligent theoretically exist. Just a heads up you can trust in when I say it's no theory. It does. You can question it all you want. You say I'm wrong. I've been wrong before. But I'm not. It's a solid 100% fact that there is.
Ich habe es immer gewusst!
Now that's Sharp!!!
HOL' - she uses - her anatomy. BLS'- Systemic heart attack You, got targeted - by you
Still looks like Soundgarden... 😛
Look like your eyes ?
From what I understand it’s not sharpening since they used PCA (called it a ML method is also a bit far fetched). It’s *denoising*. Using CNN for sharpening would be interesting. A bit younger approach but easy to implement too.
The Guardian recently reported ChatGPT makes up fictional references. Is Machine Learning creating fictional images? How can we validate its results?
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