Creating Spectral Templates from Multicolor Redshift Surveys

Abstract

We present a novel method capable of creating optimal eigenspectra from multicolor redshift surveys for photometric redshift estimation. Our iterative training algorithm modifies the templates to represent the photometric measurements better. We present a short description of our algorithm here. We show that the corrected templates give more precise photometric redshifts, essentially a ``free'' feature, since we were not fitting for the redshifts themselves.

6 pages, 5 figures, requires paspconf.sty. To be published in "Photometric Redshifts and High Redshift Galaxies", eds. R. Weymann, L. Storrie-Lombardi, M. Sawicki & R. Brunner, (San Francisco: ASP Conference Series)

References in corpus (2)

• Reconstructing Galaxy Spectral Energy Distributions from Broadband Photometry
• Search Techniques for Distant Galaxies

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