Testing Stellar Population Synthesis Models with Sloan Digital Sky Survey Colors of M31's Globular Clusters

Mark B Peacock, Stephen E Zepf, Thomas Maccarone, Arunav Kundu

Research output: Contribution to journalArticle

Abstract

Accurate stellar population synthesis models are vital in understanding the properties and formation histories of galaxies. In order to calibrate and test the reliability of these models, they are often compared with observations of star clusters. However, relatively little work has compared these models in the ugriz filters, despite the recent widespread use of this filter set. In this paper, we compare the integrated colors of globular clusters in the Sloan Digital Sky Survey (SDSS) with those predicted from commonly used simple stellar population (SSP) models. The colors are based on SDSS observations of M31's clusters and provide the largest population of star clusters with accurate photometry available from the survey. As such, it is a unique sample with which to compare SSP models with SDSS observations. From this work, we identify a significant offset between the SSP models and the clusters' g - r colors, with the models predicting colors which are too red by g - r ~ 0.1. This
Original languageEnglish
Pages (from-to)5
JournalAstrophysical Journal
StatePublished - Aug 2011

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