Photometric Redshifts with Surface Brightness Priors

Abstract

We use galaxy surface brightness as prior information to improve photometric redshift (photo-z) estimation. We apply our template-based photo-z method to imaging data from the ground-based VVDS survey and the space-based GOODS field from HST, and use spectroscopic redshifts to test our photometric redshifts for different galaxy types and redshifts. We find that the surface brightness prior eliminates a large fraction of outliers by lifting the degeneracy between the Lyman and 4000 Angstrom breaks. Bias and scatter are improved by about a factor of 2 with the prior for both the ground and space data. Ongoing and planned surveys from the ground and space will benefit, provided that care is taken in measurements of galaxy sizes and in the application of the prior. We discuss the image quality and signal-to-noise requirements that enable the surface brightness prior to be successfully applied.

15 pages, 13 figures, matches published version

References in corpus (39)

• Stellar population synthesis at the resolution of 2003
• Accurate photometric redshifts for the CFHT Legacy Survey calibrated using the VIMOS VLT Deep Survey
• The Great Observatories Origins Deep Survey: Initial Results From Optical and Near-Infrared Imaging
• Bayesian photometric redshift estimation
• Measuring and Modelling the Redshift Evolution of Clustering: the Hubble Deep Field North
• The Chandra Deep Field South: Optical Spectroscopy I
• Power Spectrum Tomography with Weak Lensing
• The VIMOS VLT Deep Survey - First epoch VVDS-Deep survey: 11564 spectra with 17.5<=IAB<=24, and the redshift distribution over 0< z <=5
• Systematic Errors in Future Weak Lensing Surveys: Requirements and Prospects for Self-Calibration
• The DEEP2 Galaxy Redshift Survey: The Galaxy Luminosity Function to z ~ 1
• Slicing Through Multicolor Space: Galaxy Redshifts From Broadband Photometry
• The VIMOS VLT Deep Survey: Public release of 1599 redshifts to IAB<=24 across the Chandra Deep Field South
• Effect of Photometric Redshift Uncertainties on Weak Lensing Tomography
• The Zurich Extragalactic Bayesian Redshift Analyzer (ZEBRA) and its first application: COSMOS
• The Great Observatories Origins Deep Survey
• Estimating photometric redshifts with artificial neural networks
• The Great Observatories Origins Deep Survey - VLT/FORS2 Spectroscopy in the GOODS-South Field
• The Vimos VLT Deep Survey: Stellar mass segregation and large-scale galaxy environment in the redshift range 0.2<z<1.4
• Evolution and Color-Dependence of the Galaxy Angular Correlation Function: 350,000 Galaxies in 5 Square Degrees
• A Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data Release 6
• Photometric Redshifts in the IRAC Shallow Survey
• Photometric Redshifts of Galaxies in COSMOS
• Precision photometric redshift calibration for galaxy-galaxy weak lensing
• Evolution of the Luminosity Function, Star Formation Rate, Morphology and Size of Star-forming Galaxies Selected at Rest-frame 1500A and 2800A
• Photometric redshifts with the Multilayer Perceptron Neural Network: application to the HDF-S and SDSS
• The VIRMOS deep imaging survey: I. overview and survey strategy
• MegaZ-LRG: A photometric redshift catalogue of one million SDSS Luminous Red Galaxies
• Photo-z for weak lensing tomography from space: the role of optical and near-IR photometry
• Using Galaxy Two-point Correlation Functions to Determine the Redshift Distributions of Galaxies Binned by Photometric Redshift
• ImpZ: a new photometric redshift code for galaxies and quasars
• The Tolman Surface Brightness Test for the Reality of the Expansion. IV. A Measurement of the Tolman Signal and the Luminosity Evolution of Early-Type Galaxies
• Photometric Redshifts for the Dark Energy Survey and VISTA and Implications for Large Scale Structure
• Mining the SDSS archive. I. Photometric redshifts in the nearby universe
• The Canada-France Deep Fields III: Photometric Redshift Distribution to I(AB) ~ 24
• $\mu$--PhotoZ: Photometric Redshifts by Inverting the Tolman Surface Brightness Test
• A New Technique for Galaxy Photometric Redshifts in the Sloan Digital Sky Survey
• Photometric Redshifts and Signal-to-Noise
• Color Tomography
• Photometric Redshifts and Photometry Errors

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