Artificial intelligence is unlocking the secrets of black holes

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It may not be there Yet being telescopes capable of unlocking all the secrets of supermassichi black holes, but the IA is now on the case. Recently, an international astronomer team has successfully trained a neural network with millions of simulations of black holes to allow him to interpret the fuzzy data captured by these enigmatic space objects in real life.

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Of the various methods to study a black hole, the telescope for horizon of events is the most famous. The Eht is not a single tool, but rather a number of radio and telescopes all over the world that work together as a single telescope. Thanks to theh, it was possible to get images of the M87 supermassichi black holes and Sagittarius A*. These are not images in a traditional sense, but instead they are views of radio waves that come from black holes.

To create these images, supercomputer in different parts of the world have developed the radio signals captured by the ETHT. But in the process, they discarded most of the information collected, since it was difficult to interpret. The new neural network, made up of experts from the Morgridge Research Institute in Wisconsin, aims to draw on that sea of ​​data to improve the resolution of the readings of theht and make new discoveries.

According to a press release from the Institute, artificial intelligence successfully analyzed the information once it has dispensed and has established new parameters of the Sagittarius A*, which is located in the center of the Milky Way. An alternative image of the structure of the black hole was generated, with this which revealed some new characteristics of the black hole.

“The researchers now suspect that the black hole in the center of the Milky Way is turning at an almost maximum speed,” the researchers wrote in a press release. The new image also indicates that the rotation axis of the black hole focuses on Earth and provides clues to the causes and characteristics of the discs of material circulating around the black hole.

The astronomers had previously estimated that the Sagittarius to* rotate at speed from moderate to fast. Knowing its actual rotation speed is important, since it allows us to deduce how radiation behaves around the black hole and provides clues to its stability.

“That we are challenging the prevalent theory is obviously exciting,” said the main researcher Michael Janssen, of the University of Radboud Nijmegen in the Netherlands in the press release. “However, I see our artificial intelligence and automatic learning approach mainly as a first step. Subsequently, we will improve and extend the models and associated simulations.”

This story originally appeared on Wired en español And it was translated by the Spaniard.

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