EDP Sciences
Free Access
Volume 438, Number 1, July IV 2005
Page(s) 227 - 238
Section Stellar structure and evolution
DOI https://doi.org/10.1051/0004-6361:20052742

A&A 438, 227-238 (2005)
DOI: 10.1051/0004-6361:20052742

Iron abundances derived from RR Lyrae light curves and low-dispersion spectroscopy

G. Kovács

Konkoly Observatory, PO Box 67, 1525 Budapest, Hungary
    e-mail: kovacs@konkoly.hu

(Received 21 January 2005 / Accepted 21 March 2005 )

With the aid of the All Sky Automated Survey (ASAS) database on the Galactic field, we compare the iron abundances of fundamental mode RR Lyrae stars derived from the Fourier parameters with those obtained from low-dispersion spectroscopy. We show from a set of 79 stars, distinct from the original calibrating sample of the Fourier method and selected without quality control, that almost all discrepant estimates are the results of some defects or peculiarities either in the photometry or in the spectroscopy. Omitting objects deviating by more than 0.4 dex, the remaining subsample of 64 stars yields Fourier abundances that fit the spectroscopic ones with $\sigma=0.20$ dex. Other, more stringent selection criteria and different Fourier decompositions lead to smaller subsamples and concomitant better agreement, down to $\sigma=0.16$ dex. Except perhaps for two variables among the 163 stars, comprised of the ASAS variables and those of the original calibrating set of the Fourier method, all discrepant values can be accounted for by observational noise and insufficient data coverage. We suggest that the agreement can be further improved when new, more accurate spectroscopic data become available for a test with the best photometric data. As a by-product of this analysis, we also compute revised periods and select Blazhko variables.

Key words: stars: variables: RR Lyrae -- stars: fundamental parameters -- stars: abundances

SIMBAD Objects

© ESO 2005

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.