A group of scientists at the University of Georgia have discovered a new planet using artificial intelligence (AI) technology.
The university has used this technology to confirm the existence of a previously unknown extrasolar planet.
“We used traditional methods to identify the planets, but our model simulates them,” Jason Terry, a PhD student at UGA Franklin College of Arts and Sciences, said in a statement. He told them to do so and showed them exactly where the planets were.
The new planet discovery adds another to our ever-growing catalog of over 5,000 exoplanets discovered outside our solar system.
The planet’s discovery is detailed in a study published in The Astrophysical Journal that was detected around a star named HD 142666.
Researchers say AI and machine learning have revealed new processes underlying the formation and evolution of planetary systems.
According to Terry, the model suggests the presence of a planet, indicated by several images that strongly highlight certain regions of the disk that were found to have characteristic signatures of a planet. This is an anomalous deviation in the velocity of the gas near the planet.
“This is an incredibly exciting proof-of-concept,” said Cassandra Hall, Assistant Professor of Computational Astrophysics and Principal Investigator of the UGA’s Exoplanets and Planet Formation Research Group. Now we are confident that we can use it to make completely new discoveries.”
“This demonstrates the ability of our models and machine learning in general to quickly and accurately identify important information that people tend to overlook. can be dramatically speeded up,” said Terry.
“It only took us about an hour to analyze that entire catalog and find strong evidence for a new planet at a particular location. So as the dataset grows even larger, we’ll see more important locations for these types of techniques.” I think there is,” Terry informed.
(Institutional input)
