Reconstructing Galaxy Spectral Energy Distributions from Broadband Photometry

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

23 pages, 8 figures, LaTeX AASTeX, accepted for publication in AJ

Scientific paper

10.1086/301159

We present a novel approach to photometric redshifts, one that merges the advantages of both the template fitting and empirical fitting algorithms, without any of their disadvantages. This technique derives a set of templates, describing the spectral energy distributions of galaxies, from a catalog with both multicolor photometry and spectroscopic redshifts. The algorithm is essentially using the shapes of the templates as the fitting parameters. From simulated multicolor data we show that for a small training set of galaxies we can reconstruct robustly the underlying spectral energy distributions even in the presence of substantial errors in the photometric observations. We apply these techniques to the multicolor and spectroscopic observations of the Hubble Deep Field building a set of template spectra that reproduced the observed galaxy colors to better than 10%. Finally we demonstrate that these improved spectral energy distributions lead to a photometric-redshift relation for the Hubble Deep Field that is more accurate than standard template-based approaches.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Reconstructing Galaxy Spectral Energy Distributions from Broadband Photometry does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Reconstructing Galaxy Spectral Energy Distributions from Broadband Photometry, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reconstructing Galaxy Spectral Energy Distributions from Broadband Photometry will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-249735

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.