Clustering in the Stellar Abundances Space
R. Boesso, H. J. Rocha-Pinto

TL;DR
This study analyzes the chemical abundance space of stars to identify clusters sharing similar chemo-evolutionary histories, revealing a main enrichment pattern and peculiar stars with unusual chemical signatures, using non-parametric clustering methods.
Contribution
It introduces a non-parametric approach to analyze stellar chemical abundance space and identifies distinct star groups with peculiar chemical compositions.
Findings
Identified a main chemical enrichment flow in stellar abundance space.
Discovered subgroups of stars with peculiar chemical signatures.
Peculiar stars show mismatched enrichment rates for certain elements.
Abstract
We have studied the chemical enrichment history of the interstellar medium through an analysis of the n-dimensional stellar abundances space. This work is a non-parametric analysis of the stellar chemical abundance space. The main goal is to study the stars from their organization within this abundance space. Within this space, we seek to find clusters (in a statistical sense), that is, stars likely to share similar chemo-evolutionary history, using two methods: the hierarchical clustering and the principal component analysis. We analysed some selected abundance surveys available in the literature. For each sample, we labelled the group of stars according to its average abundance curve. In all samples, we identify the existence of a main enrichment pattern of the stars, which we call chemical enrichment flow. This flow is set by the structured and well defined mean rate at which the…
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.
