The Pristine survey -- XII: Gemini-GRACES chemo-dynamical study of newly discovered extremely metal-poor stars in the Galaxy
Collin L. Kielty, Kim A. Venn, Federico Sestito, Else Starkenburg,, Nicolas F. Martin, David S. Aguado, Anke Arentsen, S\'ebastien Fabbro, Jonay, I. Gonz\'alez Hern\'andez, Vanessa Hill, Pascale Jablonka, Carmela Lardo,, Lyudmila I. Mashonkina, Julio F. Navarro, Chris Sneden

TL;DR
This study presents high-resolution spectra of 30 extremely metal-poor stars from the Pristine survey, analyzing their chemical compositions and dynamics to understand early Galactic formation and evolution.
Contribution
First detailed chemo-dynamical analysis of newly discovered extremely metal-poor stars using Gemini-GRACES spectra, combining chemical abundances with Gaia kinematics.
Findings
Most stars are typical of Galactic halo metal-poor populations.
Identification of stars with unusual alpha-element ratios suggesting specific supernova contributions.
Detection of stars with halo-like and accretion-like orbital properties, including CEMP stars.
Abstract
High-resolution optical spectra of 30 metal-poor stars selected from the \Pristine\ survey are presented, based on observations taken with the Gemini Observatory GRACES spectrograph. Stellar parameters \teff and \logg are determined using a Gaia DR2 colour-temperature calibration and surface gravity from the Stefan-Boltzmann equation. GRACES spectra are used to determine chemical abundances (or upper-limits) for 20 elements (Li, O, Na, Mg, K, Ca, Ti, Sc, Cr, Mn, Fe, Ni, Cu, Zn, Y, Zr, Ba, La, Nd, Eu). These stars are confirmed to be metal-poor ([Fe/H]), with higher precision than from earlier medium-resolution analyses. The chemistry for most targets is similar to other extremely metal-poor stars in the Galactic halo. Three stars near [Fe/H] have unusually low Ca and high Mg, suggestive of contributions from few SN~II where alpha-element formation through hydrostatic…
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.
