Calibrating photometric redshifts of luminous red galaxies

Padmanabhan, Nikhil, Budavari, Tamas, Schlegel, David J., Bridges, Terry, Brinkmann, Jonathan, Cannon, Russell, Connolly, Andrew J., Croom, Scott M., Csabai, Istvan, Drinkwater, Michael., Eisenstein, Daniel J., Hewett, Paul C., Loveday, Jon, Nichol, Robert C., Pimbblet, Kevin A., De Propris, R., Schneider, D. P., Scranton, R., Seljak, U., Shanks, T., Szapudi, I., Szalay, A. S. and Wake, D (2005) Calibrating photometric redshifts of luminous red galaxies. Monthly Notices Of The Royal Astronomical Society, 359 1: 237-250. doi:10.1111/j.1365-2966.2005.08915.x


Author Padmanabhan, Nikhil
Budavari, Tamas
Schlegel, David J.
Bridges, Terry
Brinkmann, Jonathan
Cannon, Russell
Connolly, Andrew J.
Croom, Scott M.
Csabai, Istvan
Drinkwater, Michael.
Eisenstein, Daniel J.
Hewett, Paul C.
Loveday, Jon
Nichol, Robert C.
Pimbblet, Kevin A.
De Propris, R.
Schneider, D. P.
Scranton, R.
Seljak, U.
Shanks, T.
Szapudi, I.
Szalay, A. S.
Wake, D
Title Calibrating photometric redshifts of luminous red galaxies
Journal name Monthly Notices Of The Royal Astronomical Society   Check publisher's open access policy
ISSN 0035-8711
1365-2966
Publication date 2005-05
Sub-type Article (original research)
DOI 10.1111/j.1365-2966.2005.08915.x
Open Access Status DOI
Volume 359
Issue 1
Start page 237
End page 250
Total pages 14
Editor A. C. Fabian
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Collection year 2005
Language eng
Abstract We discuss the construction of a photometric redshift catalogue of luminous red galaxies (LRGs) from the Sloan Digital Sky Survey (SDSS), emphasizing the principal steps necessary for constructing such a catalogue: (i) photometrically selecting the sample, (ii) measuring photometric redshifts and their error distributions, and (iii) estimating the true redshift distribution. We compare two photometric redshift algorithms for these data and find that they give comparable results. Calibrating against the SDSS and SDSS-2dF (Two Degree Field) spectroscopic surveys, we find that the photometric redshift accuracy is sigma similar to 0.03 for redshifts less than 0.55 and worsens at higher redshift (similar to 0.06 for z < 0.7). These errors are caused by photometric scatter, as well as systematic errors in the templates, filter curves and photometric zero-points. We also parametrize the photometric redshift error distribution with a sum of Gaussians and use this model to deconvolve the errors from the measured photometric redshift distribution to estimate the true redshift distribution. We pay special attention to the stability of this deconvolution, regularizing the method with a prior on the smoothness of the true redshift distribution. The methods that we develop are applicable to general photometric redshift surveys.
Keyword Astronomy & Astrophysics
Catalogues
Surveys
Galaxies : fundamental parameters
Digital Sky Survey
Hubble Deep Field
Spectroscopic Target Selection
Artificial Neural-networks
Broad-band Photometry
Early Data Release
Evolution
Distributions
Algorithm
Catalog
Q-Index Code C1
Additional Notes Authors of this document: Padmanabhan, N; Budavari, T; Schlegel, DJ; Bridges, T; Brinkmann, J; Cannon, R; Connolly, AJ; Croom, SM; Csabai, I; Drinkwater, M; Eisenstein, DJ; Hewett, PC; Loveday, J; Nichol, RC; Pimbblet, KA; De Propris, R; Schneider, DP; Scranton, R; Seljak, U; Shanks, T; Szapudi, I; Szalay, AS; Wake, D. DOI: 10.1111/j.1365-2966.2005.08915.x

 
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Created: Wed, 15 Aug 2007, 06:15:12 EST