Ages, masses & kinematics of GALAH MS turnoff stars

Main-sequence turnoff (MSTO) stars are good tracers of Galactic populations since their ages can be reliably estimated from atmospheric parameters. Based on the GALAH survey, we use the Yale rotation evolution code to determine the ages of 2926 MSTO stars with a mean age uncertainty of ~10% considering the variation of C and O abundances. The ages of CO-poor stars are systematically affected by ~10% due to the C and O abundances, globally shifting to ~0.5Gyr older compared to the results using solar metal mixture. Of the stars with [Fe/H]~0.3-0.5 or [O/Fe]=20%, and even reach up to 36%. The age-metallicity relation appears to possibly indicate the existence of two distinct sequences: a young sequence of stars with ages mostly 7Gyr, overlapping at 5Gyr<=age<=7Gyr. Moreover, the trends of abundances-to-age ratios show two corresponding sequences, especially in the [O/Fe]-age plane. We also find that [Y/Mg] is a good chemical clock in disk populations. The young sequence and the old sequence cannot be separated based on chemistry or kinematics; therefore, stellar age is an important parameter to distinguish these two sequences in our sample.

Cone search capability for table J/ApJ/929/124/table1 (Observational atmospheric parameters, [C/H], [O/H] and typical errors for temperature, logg, and [Fe/H] of the stars)

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJ/929/124
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/929/124
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/929/124
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJ/929/124
Provenance
Creator Chen X.; Ge Z.; Chen Y.; Bi S.; Yu J.; Yang W.; Ferguson J.W.; Wu Y.,Li Y.
Publisher CDS
Publication Year 2024
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Galactic and extragalactic Astronomy; Interdisciplinary Astronomy; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy