Artificial Intelligence Is Unlocking the Secrets of Black Holes

He may not However, be telescopes capable of unlocking all the secrets of supermassive black holes, but AI is now on the case. Recently, an international team of astronomers has successfully trained a neural network with millions of black holes simulations to enable it to interpret the blurred data captured from these enigmatic space objects in real life.

Among the different methods to study a black hole, the Horizon Event telescope is the most famous. The EHT is not a single instrument but rather a certain number of radiotelescopes around the world that work together as a single telescope. Thanks to the EHT, it was possible to obtain images of the supermassive black holes M87 and Sagittarius A *. These are not images in the traditional sense, but rather visualizations of radio waves from black holes.

To create these images, the Superordinators in different parts of the world treated the radio signals captured by the EHT. But in the process, they rejected a large part of the information collected because it was difficult to interpret. The new neural network, trained by experts from the Morgridge Research Institute of Wisconsin, aims to exploit this sea of ​​data to improve the resolution of EHT readings and make new discoveries.

According to a press release from the Institute, artificial intelligence has managed to analyze the information formerly interrupted and established new parameters of the Sagittarius A *, which is at the center of the Milky Way. An alternative image of the structure of the black hole has been generated, this revealing new characteristics of the black hole.

“Researchers now suspect that the black hole in the center of the Milky Way runs at almost a major speed,” wrote researchers in a press release. The new image also indicates that the axis of rotation of the black hole points to the ground and gives clues on the causes and characteristics of the material discs that circulate around the black hole.

Astronomers had previously estimated that the sagittarius was running at low speed at fast. Knowing your real speed of rotation is important, because it allows us to deduce how the radiation around the black hole behaves and provides clues to its stability.

“The fact that we deduce the dominant theory is of course exciting,” said principal researcher Michael Janssen, of Radboud Nijmegen university in the Netherlands, in the press release. “However, I see our approach to AI and automatic learning mainly as a first step. Then we will improve and extend the associated models and simulations. ”

This story originally appeared on Cable in Spanish and was translated from Spanish.