SIMBAD references

2017MNRAS.468.4151I - Mon. Not. R. Astron. Soc., 468, 4151-4169 (2017/July-2)

The metal-rich abundance pattern - spectroscopic properties and abundances for 107 main-sequence stars.


Abstract (from CDS):

We report results from the high-resolution spectral analysis of the 107 metal-rich (mostly [Fe/H] >= 7.67 dex) target stars from the Calan-Hertfordshire Extrasolar Planet Search programme observed with HARPS. Using our procedure of finding the best fit to the absorption line profiles in the observed spectra, we measure the abundances of Na, Mg, Al, Si, Ca, Ti, Cr, Mn, Fe, Ni, Cu and Zn, and then compare them with known results from different authors. Most of our abundances agree with these works at the level of ±0.05 dex or better for the stars we have in common. However, we do find systematic differences that make direct inferences difficult. Our analysis suggests that the selection of line lists and atomic line data along with the adopted continuum level influence these differences the most. At the same time, we confirm the positive trends of abundances versus metallicity for Na, Mn, Ni and, to a lesser degree, Al. A slight negative trend is observed for Ca, whereas Si and Cr tend to follow iron. Our analysis allows us to determine the positively skewed normal distribution of projected rotational velocities with a maximum peaking at 3 km s–1. Finally, we obtained a Gaussian distribution of microturbulent velocities that has a maximum at 1.2 km s–1 and a full width at half-maximum Δv1/2 = 0.35 km s–1, indicating that metal-rich dwarfs and subgiants in our sample have a very restricted range in microturbulent velocity.

Abstract Copyright: © 2017 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): stars: abundances - stars: atmospheres - stars: fundamental parameters - stars: late-type - stars: rotation - stars: solar-type - stars: solar-type

VizieR on-line data: <Available at CDS (J/MNRAS/468/4151): tablea2.dat tablea3.dat>

Simbad objects: 107

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