A. Buzzoni et al 2009 ApJ 703 L127 doi:10.1088/0004-637X/703/2/L127
A. Buzzoni1, E. Bertone2 and M. Chavez2
Show affiliationsWe outline a new method to derive a "snapshot" metallicity estimate of stellar systems (providing one resolves at least the brightest part of the color-magnitude diagram) on the basis of low-resolution (i.e., 6-8 Å FWHM) spectroscopy of a small stellar sample. Our method relies on the Fe5270 Lick index measurements and takes advantage of the special behavior of this spectral feature that reaches its maximum strength among the ubiquitous component of K-type giants. This makes the Fe5270max estimate a robust and model-independent tracer of cluster [Fe/H], being particularly insensitive to the age of the stellar population. A comparison of the Fe5270max distribution derived from globular and open clusters, as well as from the field giant population in the Galaxy disk, confirms a tight correlation of the index maximum versus cluster [Fe/H] over the entire metallicity range for a stellar population with [Fe/H]
–2.0. Relying on a theoretical calibration of the feature, we trust to infer effectively cluster metallicity within a typical uncertainty of 0.1-0.2 dex, depending on red giant branch (RGB) luminosity sampling of the observations. A handful of stars (5-10 objects) is required for the method to be applied, with low-metallicity stellar populations more easily managed, being Fe5270max located within the few brightest RGB stars of the system. In any case, we show that even the observation of a coarse stellar set would allow us to place a confident lower limit on cluster metallicity.
Galaxy: disk; globular clusters: general; open clusters and associations: general; stars: abundances
97.10.Ri Luminosities; magnitudes; effective temperatures, colors, and spectral classification
98.20.-d Stellar clusters and associations
97.20.Li Giant and subgiant stars
97.10.Cv Stellar structure, interiors, evolution, nucleosynthesis, ages
Issue 2 (2009 October 1)
Received 2009 June 16, accepted for publication 2009 August 21
Published 2009 September 14
A. Buzzoni et al 2009 ApJ 703 L127
Subhasish Mandal et al 2008 J. Phys. B: At. Mol. Opt. Phys. 41 055701
D. N. Spergel et al. 2003 ApJS 148 175
Kevin C. Schlaufman et al. 2009 ApJ 691 1322
M. Matsuura et al. 2009 ApJ 700 1067
H W Kang et al 2008 Phys. Med. Biol. 53 3381
A. Janiuk et al. 2007 ApJ 664 1011
Robert Minchin et al. 2007 ApJ 670 1056
Ilan Koren et al 2006 Environ. Res. Lett. 1 014005
Sridhar Sunderam et al 2009 J. Neural Eng. 6 046009