A new Simulation depicts the first few seconds after the Big Bang, concentrating on the intergalactic medium, or the gas and dust that exists between galaxies, according to experts. Machine learning, a form of method in which a computer is trained to identify patterns, was utilised by a team lead by experts at the Institute of Astrophysics of the Canary Islands (IAC) to finish 100,000 hours of processing. Hydro-BAM is the name of the project’s algorithm.
According to IAC officials, this new discovery allows researchers to track phenomena like as dark matter, charged gas, neutral hydrogen, and other cosmic elements that are critical to comprehending the formation of our universe. “The discovery has also made it feasible to replicate the so-called ‘Lyman-alpha forests’ with remarkable precision,” they noted. When clouds of hydrogen gas in the path absorb galactic light, a certain pattern of lines in a spectrum (light signature) of galaxies and comparable objects is generated.
The team was able to learn about the location of hydrogen gas clouds by charting the absorption lines in the galactic spectra. Given that the cosmos is always expanding, location is a proxy for distance. The clouds also reveal what is present in the gaseous and dusty cosmic medium.