Kinetic equilibrium of iron in the atmospheres of cool stars
Open Access
- 1 August 2003
- journal article
- Published by EDP Sciences in Astronomy & Astrophysics
- Vol. 407 (2) , 691-703
- https://doi.org/10.1051/0004-6361:20030907
Abstract
Non-LTE line formation calculations of are performed for a small number of reference stars to investigate and quantify the efficiency of neutral hydrogen collisions. Using the atomic model that was described in previous publications, the final discrimination with respect to hydrogen collisions is based on the condition that the surface gravities as determined by the / ionization equilibria are in agreement with their astrometric counterparts obtained from Hipparcos parallaxes. High signal-to-noise, high-resolution échelle spectra are analysed to determine individual profile fits and differential abundances of iron lines. Depending on the choice of the hydrogen collision scaling factor SH, we find deviations from LTE in ranging from 0.00 (SH = ∞) to 0.46 dex (SH = 0 for HD 140283) in the logarithmic abundances while follows LTE. With the exception of Procyon, for which a mild temperature correction is needed to fulfil the ionization balance, excellent consistency is obtained for the metal-poor reference stars if Balmer profile temperatures are combined with SH = 3. This value is much higher than what is found for simple atoms like Li or Ca, both from laboratory measurements and inference of stellar analyses. The correct choice of collisional damping parameters (“van-der-Waals” constants) is found to be generally more important for these little evolved metal-poor stars than considering departures from LTE. For the Sun the calibrated value for SH leads to average non-LTE corrections of 0.02 dex and a mean abundance from lines of ε(Fe) = 7.49 ± 0.08. We confront the deduced stellar parameters with comparable spectroscopic analyses by other authors which also rely on the iron ionization equilibrium as a gravity indicator. On the basis of the Hipparcos astrometry our results are shown to be an order of magnitude more precise than published data sets, both in terms of offset and star-to-star scatter.Keywords
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