TL;DR
This paper develops a classifier to distinguish low-mass Population III stars from white dwarfs using SDSS data, aiming to identify elusive primordial stars and improve understanding of early stellar populations.
Contribution
The study introduces a novel classifier based on photometry and spectroscopy that differentiates MPMS stars from white dwarfs without parallax data, aiding in Population III star searches.
Findings
Discovered new candidate extremely metal-poor stars.
Recovered known EMP stars from literature.
Predicted color differences due to surface gravity effects.
Abstract
It is uncertain whether or not low-mass Population III stars ever existed. While limits on the number density of Population III stars with have been derived using Sloan Digital Sky Survey (SDSS) data, little is known about the occurrence of Population III stars at lower masses. In the absence of reliable parallaxes, the spectra of metal-poor main sequence (MPMS) stars with can easily be confused with cool white dwarfs. To resolve this ambiguity, we present a classifier that differentiates between MPMS stars and white dwarfs based on photometry and/or spectroscopy without the use of parallax information. We build and train our classifier using state-of-the-art theoretical spectra and evaluate it on existing SDSS-based classifications for objects with reliable Gaia DR2 parallaxes. We then apply our classifier to a large…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
