Ever since the Big Bang Theory was postulated, scientists have struggled to understand what the first moments after the expansion of the early universe were like. Thanks to technologies such as NASA’s James Webb Space Telescope, we are well on our way to this result. Nonetheless, artificial intelligence can also play an important role in the development of this theory.
With the help of machine learning, scientists from the Canary Institute of Astrophysics in Spain They managed to create a simulation of the moment when the universe first expanded.; generating a lot of energy that would later become the galaxies we know today. For this project, they used an algorithm they called Hydo-BAM.
But why is it so important? Understanding the first microseconds of the expansion of the universe may finally answer the millions of questions that scientists and astronomers are asking. In this way we can come to understand what the first moments after the Big Bang were like; D how this led to the formation of galaxies in the vast universe.
“Research has also made it possible to reproduce the so-called “Lyman-alpha forests” with great accuracy. These “virtual universes” serve as a testing ground for the study of cosmology. However, simulation is very expensive from a computational point of view. vision, and modern computing power allows us to explore only small volumes of space.
IAC Representative
How this AI could lead to an understanding of dark matter
One area in which important results could be obtained using this algorithm is the study of dark matter. Yes, this element, which we could not fully decipher, but which seems inextricably linked to the birth of our universe.
Of course, a simple simulation cannot explain the existence and functioning of dark matter. However yes may give us clues to its role in shaping the universe. as we know it today.
Members of the Institute of Astrophysics of the Canary Islands believe that this simulation can help identify elements of galactic formations. They highlighted the accumulations of ionized gas and accumulations of neutral gaseous hydrogen. Both elements have been shown to be closely related to the formation of new galaxies; and with this simulation, they are easier to measure.
Algorithm not only opens the door to the past of our universebut also its future. While this by itself won’t mean too much change on the subject, it could be a powerful tool on which future research interested in studying the birth of everything we know can build.
“The breakthrough came when we realized that the relationships between the quantities of intergalactic gas, dark matter, and neutral hydrogen that we were trying to model were well organized in a hierarchical fashion.”
Francesco Sinigaglia, PhD student at the University of La Laguna and leader of the study
This is not the only simulation
But the Hydo-BAM algorithm is not the only existing simulation of the birth of our universe. There is currently a Thesan Project, developed by the Massachusetts Institute of Technology, Harvard University and the Max Planck Institute for Astrophysics. With Thesan, you can simulate cosmic birth, reionization, chaotic interactions, and more.
“Tesan’s simulation resolves these interactions in greater detail and volume than any previous simulation. To do this, it combines a realistic model of galaxy formation with a new algorithm that tracks how light interacts with gas, as well as a model of cosmic dust.” “
Massachusetts Institute of Technology
With all this technology, plus the recent launch of special missions, we are likely to be on the cusp of greater discovery and understanding of the universe in which we live. We might even come to understand the formation of life and hopefully find civilizations like ours in the vast void of space.
Source: Hiper Textual
