2024A&A...690A.323V -
Astronomy and Astrophysics, volume 690A323 (2024/10-1)
Stellar model tests and age determination for RGB stars from the APO-K2 catalogue.
VALLE G., DELL'OMODARME M., PRADA MORONI P.G. and DEGL'INNOCENTI S.
Abstract (from CDS):
Aims. By adopting the recently empirically derived dependence of α-elements on [α/Fe] instead of the conventionally applied uniform one, we tested the agreement between stellar model predictions and observations for red giant branch (RGB) stars in the APO-K2 catalogue. We particularly focused on the biases in effective temperature scales and on the robustness of age estimations.
Methods. We computed a grid of stellar models relying on the empirical scaling of α-elements, investigating the offset in effective temperature ΔT between these models and observations, using univariate analyses for both metallicity [Fe/H] and [α/Fe]. To account for potential confounding factors, we then employed a multivariate generalised additive model to study the dependence of ΔT on [Fe/H], [α/Fe], log g, and stellar mass.
Results. The initial analysis revealed a negligible trend of ΔT with [Fe/H], in contrast with previous works in the literature, which adopt a uniform relation between the various α-elements and [α/Fe]. A slight ΔT difference of 25 K was detected between stars with high and low α-enhancement. Our multivariate analysis reveals a dependence of ΔT on both [Fe/H] and [α/Fe], and highlights a significant dependence on stellar mass. This suggests a discrepancy in how effective temperature scales with stellar mass in the models compared to observations. Despite differences in assumed chemical composition, our analysis, through a fortunate cancellation effect, yields ages that are largely consistent with recent studies of the same sample. Notably, our analysis identifies a 6% fraction of stars younger than 4 Ga within the high-α population. However, our analysis of the [C/N] ratio supports the possible origin of these stars as a result of mergers or mass transfer events.
Abstract Copyright:
© The Authors 2024
Journal keyword(s):
methods: statistical - stars: evolution - stars: fundamental parameters - stars: interiors - Galaxy: abundances
VizieR on-line data:
<Available at CDS (J/A+A/690/A323): table2.dat>
Simbad objects:
4246
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