The Function Horizon Telescope is the most well-known of the numerous black hole investigation techniques. Instead of being a solitary tool, the EHT is made up of several radio telescopes that function together like a second telescope. Pictures of the supermassive black holes M87 and Sagittarius A* have been made possible thanks to the EHT. These are representations of radio waves coming from black holes, no images in the conventional feeling.
Microprocessors in various locations of the world processed the radio signals that the EHT collected to make these pictures. However, they also discarded a lot of the information that was gathered because it was challenging to perceive. The Morgridge Research Institute in Wisconsin’s new neural system aims to use that wealth of data to improve the accuracy of the EHT’s observations and uncover novel insights.
The university claims in a press release that the artificial intelligence was able to identify the constellation Sagittarius A*, which is located at the Milky Way’s core, with its new parameters. A different perspective of the black hole’s structure was created, revealing some intriguing fresh traits.
In a press release, the researchers wrote that they now believe the dark hole at the Milky Way’s facility is moving about at top speed. The new photo also provides fresh information about the origins and traits of the disks of materials that move around the dark hole, as well as the fact that the black hole’s movement axis points to the Earth.
Astronomers had recently predicted that Sagittarius A* rotates at a reasonable to rapid rate. Knowing its exact rotary speed is crucial because it enables us to infer how the rays around the dark hole behaves and provides information about its stability.
Direct researcher Michael Janssen of Radboud University Nijmegen in the Netherlands stated in the media release,” That we are defying the prevailing idea is of course exciting.” ” However, I view our AI and machine learning method largely as a first step. Following, we will enhance and expand the concepts and models that are associated.
This article was first published on WIRED en Espaol and has since been translated into Spanish.
