It cannot However, telescopes capable of unlocking all the secrets of supermassive black holes, but AI is now in this matter. Recently, an international team of astronomers successfully trained a neural network with millions of simulations of black holes to enable the interpretation of blurred data captured from these enigmatic space objects in real life.
From various methods of testing the black hole, the event’s horizon telescope is best known. EHT is not one instrument, but rather many radio telescopes around the world that work like one telescope. Thanks to EHT it was possible to get photos of supermassive black M87 holes and Strzelec A*. These are not images in a classic sense, but instead there are visualizations of radio waves from black holes.
To create these images, supercomputers in different parts of the world processed radio signals intercepted by EHT. But in this process they rejected a lot of information collected because it was complex to interpret it. The fresh neural network, trained by experts from the Morgridge Research Institute in Wisconsin, aims to apply this sea of data to improve the resolution of EHT readings and make fresh discoveries.
According to the press message of the Institute, the artificial intelligence successfully analyzed discardered information and established fresh parameters of the A*shooter, which is located in the center of the Milky Way. An alternative picture of the black hole structure was generated, and this revealed some fresh features of a black hole.
“Researchers now suspect that the black hole in the center of the Milky Way is spinning at almost maximum speed,” he wrote scientists in press release. The fresh picture also indicates that the axis of the black hole rotation indicates the ground and gives tips on the causes and characteristics of the material discs that circulate around the black hole.
Astronomers have previously estimated that the shooter A* rotates at moderate and speedy speed. Knowledge about the actual rotational speed is critical because it allows us to conclude how radiation around the black hole behaves and provides guidelines for its stability.
“The fact that we oppose the prevailing theory is of course exciting – the main researcher Michael Janssen from the University of Radboud Nijmegen in the Netherlands, he said in a press release.” However, I see that our artificial intelligence and machine learning primarily as the first step. Then we will improve and expand related models and simulations.
This story originally appeared Wired In Spanish and was translated from Spanish.