Photometric Redshift Biases from Galaxy Evolution
arXiv:1002.0008 · doi:10.1086/651702
Abstract
Proposed cosmological surveys will make use of photometric redshifts of galaxies that are significantly fainter than any complete spectroscopic redshift surveys that exist to train the photo-z methods. We investigate the photo-z biases that result from known differences between the faint and bright populations: a rise in AGN activity toward higher redshift, and a metallicity difference between intrinsically luminous and faint early-type galaxies. We find that even very small mismatches between the mean photometric target and the training set can induce photo-z biases large enough to corrupt derived cosmological parameters significantly. A metallicity shift of ~0.003dex in an old population, or contamination of any galaxy spectrum with ~0.2% AGN flux, is sufficient to induce a 10^-3 bias in photo-z. These results highlight the danger in extrapolating the behavior of bright galaxies to a fainter population, and the desirability of a spectroscopic training set that spans all of the characteristics of the photo-z targets, i.e. extending to the 25th mag or fainter galaxies that will be used in future surveys.
References in corpus (4)
- Systematic Errors in Future Weak Lensing Surveys: Requirements and Prospects for Self-Calibration
- COSMOS: 3D weak lensing and the growth of structure
- A Near-Infrared Spectral Template for Quasars
- Colors, magnitudes and velocity dispersions in early-type galaxies: Implications for galaxy ages and metallicities
Cited by in corpus (7)
- Cosmology from Cosmic Shear with DES Science Verification Data
- Reconstructing Redshift Distributions with Cross-Correlations: Tests and an Optimized Recipe
- On the realistic validation of photometric redshifts, or why Teddy will never be Happy
- ZFOURGE catalogue of AGN candidates: an enhancement of 160μm-derived star-formation rates in active galaxies to = 3.2
- Characterizing and Propagating Modeling Uncertainties in Photometrically-Derived Redshift Distributions
- Inferring the photometric and size evolution of galaxies from image simulations
- Giga-z: A 100,000 Object Superconducting Spectrophotometer for LSST Follow-up