Ca. Prieto et al., Chemical abundances from inversions of stellar spectra: Analysis of solar-type stars with homogeneous and static model atmospheres, ASTROPHYS J, 558(2), 2001, pp. 830-851
Spectra of late-type stars are usually analyzed with static model atmospher
es in local thermodynamic equilibrium (LTE) and a homogeneous plane-paralle
l or spherically symmetric geometry. The energy balance requires particular
attention, as two elements that are particularly difficult to model play a
n important role: line blanketing and convection. Inversion techniques are
able to bypass the difficulties of a detailed description of the energy bal
ance. Assuming that the atmosphere is in hydrostatic equilibrium and LTE, i
t is possible to constrain its structure from spectroscopic observations. A
mong the most serious approximations still implicit in the method is a stat
ic and homogeneous geometry. In this paper, we take advantage of a realisti
c three-dimensional radiative hydrodynamical simulation of the solar surfac
e to check the systematic errors incurred by an inversion assuming a plane-
parallel horizontally-homogeneous atmosphere. The thermal structure recover
ed resembles the spatial and time average of the three-dimensional atmosphe
re. Furthermore, the abundances retrieved are typically within 10% (0.04 de
x) of the abundances used to construct the simulation. The application to a
fairly complete data set from the solar spectrum provides further confiden
ce in previous analyses of the solar composition. There is only a narrow ra
nge of one-dimensional thermal structures able to Dt the absorption lines i
n the spectrum of the Sun. With our carefully selected data set, random err
ors are about a factor of 2 smaller than systematic errors. A small number
of strong metal lines can provide very reliable results. We foresee no majo
r difficulties in applying the technique to other similar stars, and obtain
ing similar accuracies, using spectra with lambda/delta lambda similar to 5
x10(4) and a signal-to-noise ratio as low as 30.