SIMBAD references

2013MNRAS.429..126R - Mon. Not. R. Astron. Soc., 429, 126-134 (2013/February-2)

Unveiling systematic biases in the 1D LTE excitation-ionization balance of Fe for FGK stars: a novel approach to determination of stellar parameters.

RUCHTI G.R., BERGEMANN M., SERENELLI A., CASAGRANDE L. and LIND K.

Abstract (from CDS):

We present a comprehensive analysis of different techniques available for the spectroscopic analysis of FGK stars and provide a recommended methodology which efficiently estimates accurate stellar atmospheric parameters for large samples of stars. Our analysis includes a simultaneous equivalent width analysis of Fei and Feii spectral lines, and for the first time, utilizes on-the-fly non-local thermodynamic equilibrium (NLTE) corrections of individual Fei lines. We further investigate several temperature scales, finding that estimates from Balmer line measurements provide the most accurate effective temperatures at all metallicities. We apply our analysis to a large sample of both dwarf and giant stars selected from the Radial Velocity Experiment (RAVE) survey. We then show that the difference between parameters determined by our method and that by the standard 1D LTE excitation-ionization balance of Fe reveals substantial systematic biases: up to 400 K in effective temperature, 1.0 dex in surface gravity and 0.4 dex in metallicity for stars with [Fe/H] ∼ -2.5. This has large implications for the study of the stellar populations in the Milky Way.

Abstract Copyright: © 2012 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society (2012)

Journal keyword(s): stars: abundances - stars: late-type - stars: Population II - radiative transfer - methods: data analysis - techniques: spectroscopic

VizieR on-line data: <Available at CDS (J/MNRAS/429/126): table1.dat>

Simbad objects: 355

goto Full paper

goto View the reference in ADS

To bookmark this query, right click on this link: simbad:2013MNRAS.429..126R and select 'bookmark this link' or equivalent in the popup menu


2019.09.18-09:59:27

© Université de Strasbourg/CNRS

    • Contact