By observing the sky, astronomers continue to make numerous discoveries, such as this planet hidden behind the Kuiper Belt. But recently, it was by heading toward the center of the Milky Way that researchers made a significant breakthrough in understanding the supermassive black hole that reigns there.
With the help of artificial intelligence, which has made tremendous progress over the years, and distributed computing simulations, they have managed to determine, with a certain degree of accuracy, the rotation speed of this black hole. Published in the journal Astronomy & Astrophysics, this major advance in the world of astronomy is based on a neural network trained using several computer-generated simulations of black holes.
During their process, they used a Bayesian approach to estimate the margins of error in the data. This allowed them to compare the observations made by the Event Horizon Telescope with realistic models.
With the help of this technique, they discovered that the supermassive black hole at the center of our galaxy, Sagittarius A*, which measures 12 million kilometers in diameter, is rotating at almost its maximum speed. But that's not all, because its axis of rotation is also directed towards our planet, Earth.
As a result, this discovery has caused quite a stir among scientists. It must be said that some ideas about the behavior of black holes have been overturned as a result of this observation, and current theories will have to be adjusted accordingly.
However, it should be noted that while artificial intelligence is capable of many feats, it can also make mistakes. And the scientists who witnessed this experiment will have to conduct further research and delve deeper into their findings with the help of powerful computing tools in order to learn more.
It should also be remembered that the EHT is a network of devices located around the globe that work in a coordinated manner. And the EHT uses long electromagnetic waves, up to a millimeter in length, to measure the radius of photons surrounding a black hole.
However, this technique, also known as very long baseline interferometry, is highly sensitive to interference and water vapor. This can make it very difficult for researchers to interpret the results obtained.
Source(s)
Techno-Science (in French), Morgridge Institute for Research