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Accurate stellar population synthesis models are vital in understanding theproperties and formation histories of galaxies. In order to calibrate and testthe reliability of these models, they are often compared with observations ofstar clusters. However, relatively little work has compared these models in theugriz filters, despite the recent widespread use of this filter set. In thispaper, we compare the integrated colors of globular clusters in the SloanDigital Sky Survey (SDSS) with those predicted from commonly used simplestellar population (SSP) models. The colors are based on SDSS observations ofM31's clusters and provide the largest population of star clusters withaccurate photometry available from the survey. As such, it is a unique samplewith which to compare SSP models with SDSS observations. From this work, weidentify a significant offset between the SSP models and the clusters' g-rcolors, with the models predicting colors which are too red by g-r\sim0.1. Thisfinding is consistent with previous observations of luminous red galaxies inthe SDSS, which show a similar discrepancy. The identification of this offsetin globular clusters suggests that it is very unlikely to be due to a minoritypopulation of young stars. The recently updated SSP model of Maraston &Stromback better represents the observed g-r colors. This model is based on theempirical MILES stellar library, rather than theoretical libraries, suggestingan explanation for the g-r discrepancy.

Testing stellar population synthesis models with Sloan Digital Sky Survey colors of M31's globular clusters