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Wide, deep photometric surveys require robust photometric redshift estimates(photo-z's) for studies of large-scale structure. These estimates dependcritically on accurate photometry. We describe the improvements to thephotometric calibration and the photo-z estimates in the Deep Lens Survey (DLS)from correcting three of the inputs to the photo-z calculation: the systemresponse as a function of wavelength, the spectral energy distributiontemplates, and template prior probabilities as a function of magnitude. Wemodel the system response with a physical model of the MOSAIC camera's CCD,which corrects a 0.1 magnitude discrepancy in the colours of type M2 and laterstars relative to the SDSS z-band photometry. We provide our estimated z-bandresponse function for the use of other surveys that used MOSAIC before itsrecent detector upgrade. The improved throughput curve, template set, andBayesian prior lead to a 20 per cent reduction in photo-z scatter and areduction of the bias by a factor of more than two. This paper serves as both aphoto-z data release description for DLS and a guide for testing the quality ofphotometry and resulting photo-z's generally.

Improved Photometric Redshifts via Enhanced Estimates of System Response, Galaxy Templates, and Magnitude Priors