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A Data-driven Model of Nucleosynthesis with Chemical Tagging in a Lower-dimensional Latent Space

Casey, A. R.; Lattanzio, John; Aleti, Aldeida; Dowe, D L; Bland-Hawthorn, J.; Buder, Sven; Lewis, Geraint; Martell, Sarah; Nordlander, Thomas; Simpson, Jeffrey D.; Sharma, Sanjib; Zucker, Daniel

Description

Chemical tagging seeks to identify unique star formation sites from present-day stellar abundances. Previous techniques have treated each abundance dimension as being statistically independent, despite theoretical expectations that many elements can be produced by more than one nucleosynthetic process. In this work, we introduce a data-driven model of nucleosynthesis, where a set of latent factors (e.g., nucleosynthetic yields) contribute to all stars with different scores and clustering (e.g.,...[Show more]

CollectionsANU Research Publications
Date published: 2019
Type: Journal article
URI: http://hdl.handle.net/1885/261586
Source: The Astrophysical Journal
DOI: 10.3847/1538-4357/ab4fea
Access Rights: Open Access

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