Published in The Astrophysical Journal · View the paper (DOI)
A team of researchers used machine learning to analyze elemental abundances in over 450 extremely metal-poor stars. The study found that 68% of these stars have a chemical fingerprint consistent with enrichment by multiple supernovae, providing the first quantitative constraint on the multiplicity of the first stars. This challenges th...
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