Mathematics – Probability
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...21113221x&link_type=abstract
American Astronomical Society, AAS Meeting #211, #132.21; Bulletin of the American Astronomical Society, Vol. 39, p.965
Mathematics
Probability
Scientific paper
We apply Bayesian statistics and prior probabilities of galaxy surface brightness to improve photometric redshift estimation. We first estimate the spectro-photometric redshifts (SPZs) for all 1873 galaxies for which we have ground-based spectroscopic redshifts. The spectro-photometric redshifts are based on the grism spectra, which cover a wavelength range of 6000-9000 Angstroms, combined with (U)BViz(JHK) broad-band photometry in the GOODS fields (Cohen et al. 2007, Ryan et al. 2007). The addition of the prior probability of surface brightness reduces redshift uncertainties by a factor of two to three. It also reduces the number of catastrophic outliers. Finally, we apply the improved redshift estimator to the full PEARS sample.
Cohen Samuel
Grogin Norman
Hathi Nimish
Malhotra Sagar
PEARS Team
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