Bibcode
Ramirez, Ivan; Allende Prieto, C.; Asplund, M.; Koesterke, L.; Lambert, D. L.
Referencia bibliográfica
American Astronomical Society, AAS Meeting #213, #406.01; Bulletin of the American Astronomical Society, Vol. 41, p.198
Fecha de publicación:
1
2009
Número de citas
0
Número de citas referidas
0
Descripción
The presence of surface convection in K-type dwarfs is revealed in very
high quality spectra of nine bright stars. The observed asymmetries and
wavelength shifts of the Fe I absorption line profiles are mainly due to
granulation. The bisectors of the strongest Fe I lines have a span of
about 100 m/s and the central wavelengths of the weakest Fe I lines are
shifted by up to -200 m/s. The blueshifts decrease for stronger Fe I
lines, but they become independent of line strength for equivalent
widths larger than about 100 mA. The detection of this "plateau" in the
velocity shifts of the strongest Fe I lines is necessary to remove the
non-negligible uncertainty introduced by granulation in the
determination of absolute radial velocities. Line profiles computed
using a 3D model atmosphere accurately reproduce the observations, with
statistical tests showing an agreement at the 95 % confidence level,
which validates the 3D model for spectroscopic studies of abundances and
fundamental parameters of K-dwarfs. We find that 3D effects reduce the
difference in the iron abundance determined separately from Fe II and Fe
I lines, which is about 0.15 dex for 1D models, by two thirds, thus
alleviating significantly the iron ionization imbalance problem in
K-dwarfs. However, the 3D iron abundances from Fe I lines show a small
dependence with excitation potential, similar to the 1D case, possibly
due to non-LTE effects that have not been taken into account. We also
find that the 3D correction to the effective temperatures of solar
metallicity K-dwarfs derived with the infrared flux method is about +30
K. Finally, we show that the 3D spectrum synthesis of molecular bands
greatly improves the agreement with the observational data compared to
the 1D analysis, which overestimates the abundances derived from
molecular features by a factor of 2.