Using machine learning to estimate stellar ages

Researchers from Keele University have developed a machine learning technique that helps astronomers better estimate the ages of stars from the chemicals within their atmospheres. The new research will be presented at the 2023 National Astronomy Meeting by Keele Ph.D. student George Weaver.


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Source: Phys.org