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We construct a set of model spectra specifically designed to match thecolours of the BOSS CMASS galaxies and to be used with photometric redshifttemplate fitting techniques. As a basis we use a set of spectral energydistributions (SEDs) of single and composite stellar population models. Thesemodels cannot describe well the whole colour range populated by the CMASSgalaxies at all redshifts, wherefore we modify them by multiplying the SEDswith $\lambda^{-\beta}$ for $\lambda>\lambda_i$ for different values of$\lambda_i$ and $\beta$. When fitting these SEDs to the colours of the CMASSsample, with a burst and dust components in superposition, we can recreate thelocation in colour spaces inhabited by the CMASS galaxies. From the bestfitting models we select a small subset in a two-dimensional plane, whereto thegalaxies were mapped by a self-organizing map. These models are used for theestimation of photometric redshifts with a Bayesian template fitting code. Thephotometric redshifts with the novel templates have a very small outlier rateof $0.22\,\%$, a low bias $\langle\Delta z/(1+z)\rangle=2.0\cdot10^{-3}$, andscatter of $\sigma_{68}=0.026$ in the restframe. Using our models, the galaxycolours are reproduced to a better extent with the photometric redshifts ofthis work than with photometric redshifts of SDSS.

Photometric Redshifts and Model Spectral Energy Distributions of Galaxies From the SDSS-III BOSS DR10 Data