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We describe the construction of a template set of spectral energydistributions (SEDs) for the estimation of photometric redshifts of luminousred galaxies (LRGs) with a Bayesian template fitting method. By examining thecolor properties of several publicly available SED sets within a redshift rangeof 0<z<0.5 and comparing them to SDSS DR7 data, we show that only some of theinvestigated SEDs approximately match the colors of the LRG data throughout theredshift range, however not at the quantitative level required for precisephotometric redshifts. We generate new SEDs by superposing model SEDs ofcomposite stellar populations with a burst model, allowing both components tobe reddened by dust, in order to match the data in five different redshiftbins. We select a set of SEDs which represents the LRG data in color spacewithin five redshift bins, thus defining our new SED template set forphotometric redshift estimates. The results we get with the new template setand our Bayesian template fitting photometric redshift code (PhotoZ) are nearlyunbiased, with a scatter of \sigma(\Delta z)=0.027 (including outliers), and afraction of catastrophic outliers (|z_phot-z_spec|/(1+z_spec)>0.15) of 0.12%.We show that templates that optimally describe the brightest galaxies(-24.5<M_R<-22.7) indeed vary from z=0.1 to z=0.5, consistent with aging of thestellar population. Furthermore, we find that templates that optimally describegalaxies at z<0.1 strongly differ as a function of the absolute magnitude ofthe galaxies, indicating an increase in star formation activity for lessluminous galaxies. Our findings based on the photometry of the SDSS LRGs andour SED template fitting are supported by comparison to the average SDSS LRGspectra in different luminosity and redshift bins.

Photometric Redshifts and Systematic Variations in the SEDs of Luminous Red Galaxies from the SDSS DR7