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.
@article{arxiv.astro-ph/9908008,
title = {Creating Spectral Templates from Multicolor Redshift Surveys},
author = {Tamas Budavari and Alex S. Szalay and Andrew J. Connolly and Istvan Csabai and Mark E. Dickinson},
journal= {arXiv preprint arXiv:astro-ph/9908008},
year = {2015}
}
Comments
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)