When two galaxies collide, they splash bright lights over the universe, and as there are many galaxies in the universe, scientists wanted to discover where the earliest galaxy collisions occurred. They used an AI-trained algorithm that details the early universe and can help determine the earliest galaxy collisions in the universe.
Artificial intelligence’s prediction algorithms can bypass the difficulties telescopes face. Telescopes can’t see far away, to the ancient parts of the universe. Their imagery isn’t clear enough to show two ancient galaxies merging. It’s hard to tell the difference between distant galaxy mergers from distant galaxies that shine brightly because they’re birthing a high number of new stars.
A study published in the journal Monthly Notices of the Royal Astronomical Society described its new AI-trained algorithm that can make out the difference between the different types of galaxies. When scientists are observing the nearby parts of the universe, galaxy mergers are easily spotted using star clusters on their peripheries. The stars stretch away from the galaxy cores that have just stretched, helping scientists identify them.
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