Deriving physical parameters of unresolved star clusters. I. Age, mass, and extinction degeneracies
arXiv:1301.2008 · doi:10.1051/0004-6361/201220674
Abstract
Context. Stochasticity and physical parameter degeneracy problems complicate the derivation of the parameters (age, mass, and extinction) of unresolved star clusters when using broad-band photometry. Aims. We develop a method to simulate stochasticity and degeneracies, and to investigate their influence on the accuracy of derived physical parameters. Then we apply it to star cluster samples of M31 and M33 galaxies. Methods. Age, mass and extinction of observed star clusters are derived by comparing their broad-band UBVRI integrated magnitudes to the magnitudes of a large grid of star cluster models with fixed metallicity Z=0.008. Masses of stars for a cluster model are randomly sampled from the initial mass function. Models of star clusters from the model grid, which have all of their magnitudes located within 3 observational errors from the magnitudes of the observed cluster, are selected for the computation of its age, mass, and extinction. Results. In the case of the M31 galaxy, the extinction range is wide and the age-extinction degeneracy is strong for a fraction of its clusters. Because of a narrower extinction range, the age-extinction degeneracy is weaker for the M33 clusters. By using artificial cluster sample, we show that age-extinction degeneracy can be reduced significantly if the range of intrinsic extinction within the host galaxy is narrow.
10 pages, 8 figures
References in corpus (7)
- The ACS Nearby Galaxy Survey Treasury IX. Constraining asymptotic giant branch evolution with old metal-poor galaxies
- The M33 Metallicity Project: Resolving the Abundance Gradient Discrepancies in M33
- A Catalog of Star Cluster Candidates in M33
- The Panchromatic Hubble Andromeda Treasury III. Measuring Ages and Masses of Partially Resolved Stellar Clusters
- A Catalog of New M33 Star Clusters Based on the HST/WFPC2 Images
- A Survey of Star Clusters in the M31 South-West Field. UBVRI Photometry and Multi-Band Maps
- An updated catalog of M33 clusters and candidates: photometry, and some statistical results
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