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We present SED modeling of a sample of 34 K-selected galaxies at z ~ 2.3.These galaxies have NIR spectroscopy that samples the rest-frame Balmer/4000Abreak as well as deep photometry in thirteen broadband filters. New to ouranalysis is IRAC data that extend the SEDs into the rest-frame NIR. Comparingparameters determined from SED fits with and without the IRAC data we find thatthe IRAC photometry significantly improves the confidence intervals of Tau,A_v, stellar mass, and SFR for individual galaxies, but does not systematicallyalter the mean parameters of the sample. We use the IRAC data to assess howwell current stellar population synthesis codes describe the rest-frame NIRSEDs of young galaxies where discrepancies between treatments of the TP-AGBphase of stellar evolution are most pronounced. The models of Bruzual & Charlot(2003), Maraston (2005), and Charlot & Bruzual (2008) all successfullyreproduce the SEDs of our galaxies with < 5% differences in the quality of fit;however, the best-fit masses from each code differ systematically by as much asa factor of 1.5, and other parameters vary more, up to factors of 2-3. Acomparison of best-fit stellar population parameters from different SPS codes,dust laws, and metallicities shows that the choice of SPS code is the largestsystematic uncertainty in most parameters, and that systematic uncertaintiesare typically larger than the formal random uncertainties. The SED fittingconfirms our previous result that galaxies with strongly suppressed starformation account for ~ 50% of the K-bright population at z ~ 2.3; however, theuncertainty in this fraction is large due to systematic differences in theSSFRs derived from the three SPS models.

astrophysical journal/the astrophysical journal

A Near-Infrared Spectroscopic Survey of K-selected Galaxies at z ~ 2.3:  Comparison of Stellar Population Synthesis Codes and Constraints from the  Rest-frame NIR