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Title:
Creating Spectral Templates from Multicolor Redshift Surveys
Authors:
Budavári, Tamás; Szalay, Alexander S.; Connolly, Andrew J.; Csabai, István; Dickinson, Mark
Affiliation:
AA(Department of Physics, Eötvös University, Budapest, Pf. 32, Hungary, H-1518), AB(Department of Physics and Astronomy, The Johns Hopkins University, Baltimore, MD 21218; ), AC(Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260), AD(Department of Physics, Eötvös University, Budapest, Pf. 32, Hungary, H-1518), AE(Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218)
Publication:
The Astronomical Journal, Volume 120, Issue 3, pp. 1588-1598. (AJ Homepage)
Publication Date:
09/2000
Origin:
UCP
AJ Keywords:
Galaxies: Distances and Redshifts, Galaxies: Photometry
DOI:
10.1086/301514
Bibliographic Code:
2000AJ....120.1588B

Abstract

Understanding how the physical properties of galaxies (e.g., their spectral type or age) evolve as a function of redshift relies on having an accurate representation of galaxy spectral energy distributions. While it has been known for some time that galaxy spectra can be reconstructed from a handful of orthogonal basis templates, the underlying basis is poorly constrained. The limiting factor has been the lack of large samples of galaxies (covering a wide range in spectral type) with high signal-to-noise spectrophotometric observations. To alleviate this problem we introduce here a new technique for reconstructing galaxy spectral energy distributions directly from samples of galaxies with broadband photometric data and spectroscopic redshifts. Exploiting the statistical approach of the Karhunen-Loève expansion, our iterative training procedure increasingly improves the eigenbasis, so that it provides better agreement with the photometry. We demonstrate the utility of this approach by applying these improved spectral energy distributions to the estimation of photometric redshifts for the HDF sample of galaxies. We find that in a small number of iterations the dispersion in the photometric redshifts estimator (a comparison between predicted and measured redshifts) can decrease by up to a factor of 2. Based on observations with the NASA/ESA Hubble Space Telescope, obtained at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy (AURA), Inc., under NASA contract NAS 5-26555.
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