Skip navigation
Skip navigation

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


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
Source: The Astrophysical Journal
DOI: 10.3847/1538-4357/ab4fea
Access Rights: Open Access


File Description SizeFormat Image
1910.09811.pdf2.54 MBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator