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We demonstrate physics-blind and purely data-based nucleosynthetic archetypediscovery from heterogeneous stellar elemental abundance measurements.Archetype extraction is performed via non-negative matrix factorization (NMF).Because stellar elemental abundance measurements can be incomplete and sparselysampled, we perform combined low-rank NMF and matrix completion on the HypatiaCatalog and JINAbase to extract archetypal elemental abundance patterns, theso-called endmembers, and impute the missing measurements. We qualitativelycompare the discovered nucleosynthetic archetypes to patterns anticipated fromdirect astrophysical nucleosynthetic calculations. Our tentative resultsindicate that the physics-blind analysis relying entirely on the incompletechemical mixing in star formation can discern nucleosynthetic archetypesassociated with asymptotic giant branch (AGB) stellar sources of the s-process,thermonuclear supernovae, and non-thermonuclear supernovae with an r-process.

Blind nucleosynthetic source discovery in astronomical elemental abundance data