Principal Component Analysis on Chemical Abundances Spaces
Yuan-Sen Ting, Kenneth C. Freeman, Chiaki Kobayashi, Gayandhi M. De, Silva, Joss Bland-Hawthorn

TL;DR
This study uses principal component analysis to estimate the independent dimensions of stellar chemical abundance space across various galactic environments, revealing insights into nucleosynthesis processes and galaxy evolution.
Contribution
It provides the first quantitative estimate of the chemical abundance space dimensionality in different galactic environments, linking it to star formation history and nucleosynthesis.
Findings
Approximately 8-9 dimensions in the solar neighborhood.
Higher dimensionality in fainter galaxies like Fornax and LMC.
Evidence supporting core-collapse supernovae as r-process sites.
Abstract
In preparation for the HERMES chemical tagging survey of about a million Galactic FGK stars, we estimate the number of independent dimensions of the space defined by the stellar chemical element abundances [X/Fe]. [...] We explore abundances in several environments, including solar neighbourhood thin/thick disk stars, halo metal-poor stars, globular clusters, open clusters, the Large Magellanic Cloud and the Fornax dwarf spheroidal galaxy. [...] We find that, especially at low metallicity, the production of r-process elements is likely to be associated with the production of alpha-elements. This may support the core-collapse supernovae as the r-process site. We also verify the over-abundances of light s-process elements at low metallicity, and find that the relative contribution decreases at higher metallicity, which suggests that this lighter elements primary process may be associated…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
