Empirical Photometric Redshifts of Luminous Red Galaxies and Clusters in SDSS
arXiv:0706.1580 · doi:10.1111/j.1365-2966.2007.12203.x
Abstract
In this work I discuss the necessary steps for deriving photometric redshifts for luminous red galaxies (LRGs) and galaxy clusters through simple empirical methods. The data used is from the Sloan Digital Sky Survey (SDSS). I show that with three bands only ({\it gri}) it is possible to achieve results as accurate as the ones obtained by other techniques, generally based on more filters. In particular, the use of the color helps improving the final redshifts (especially for clusters), as this color monotonically increases up to . For the LRGs I generate a catalog of million objects at . The accuracy of this catalog is for and for . The photometric redshift technique employed for clusters is independent of a cluster selection algorithm. Thus, it can be applied to systems selected by any method or wavelength, as long as the proper optical photometry is available. When comparing the redshift listed in literature to the photometric estimate, the accuracy achieved for clusters is for and for . However, when considering the spectroscopic redshift as the mean value of SDSS galaxies on each cluster region, the accuracy is at the same level as found by other authors: for and for . The photometric redshift relation derived here is applied to thousands of cluster candidates selected elsewhere. I have also used galaxy photometric redshifts available in SDSS to identify groups in redshift space and then compare the redshift peak of the nearest group to each cluster redshift (ABRIDGED).
arXiv comment14 pages, 6 figures. Accepted to MNRAS. Minor changes in response to referee report
References in corpus (27)
- The Sloan Digital Sky Survey: Technical Summary
- The 2dF Galaxy Redshift Survey: Spectra and redshifts
- Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample
- Color Separation of Galaxy Types in the Sloan Digital Sky Survey Imaging Data
- Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample
- An Efficient Algorithm for Positioning Tiles in the Sloan Digital Sky Survey
- A MaxBCG Catalog of 13,823 Galaxy Clusters from the Sloan Digital Sky Survey
- ANNz: estimating photometric redshifts using artificial neural networks
- Galaxy Cluster Virial Masses and Omega
- A Catalog of 200 Galaxy Clusters Serendipitously Detected in the ROSAT PSPC Pointed Observations
- The Red-Sequence Cluster Survey I: The Survey and Cluster Catalogs for Patches RCS0926+37 and RCS1327+29
- Slicing Through Multicolor Space: Galaxy Redshifts From Broadband Photometry
- The Millennium Galaxy Catalogue: morphological classification and bimodality in the colour-concentration plane
- Photometric Redshifts for the SDSS Early Data Release
- The Cut & Enhance method : selecting clusters of galaxies from the SDSS commissioning data
- The 2dF-SDSS LRG and QSO (2SLAQ) Luminous Red Galaxy Survey
- Detecting Clusters of Galaxies in the Sloan Digital Sky Survey I : Monte Carlo Comparison of Cluster Detection Algorithms
- The Northern Sky Optical Cluster Survey II: An Objective Cluster Catalog for 5800 Square Degrees
- The 160 Square Degree ROSAT Survey: the Revised Catalog of 201 Clusters with Spectroscopic Redshifts
- Spectral Templates from Multicolor Redshift Surveys
- Creating Spectral Templates from Multicolor Redshift Surveys
- MegaZ-LRG: A photometric redshift catalogue of one million SDSS Luminous Red Galaxies
- A Quantitative Measure of the Richness of Galaxy Clusters
- X-ray Galaxy Clusters in NoSOCS: Substructure and the Correlation of Optical and X-ray Properties
- Spectroscopic Observations of Optically Selected Clusters of Galaxies from the Palomar Distant Cluster Survey
- Multi-object spectroscopy of low redshift EIS clusters. III. Properties of optically selected clusters
- Multi-object spectroscopy of low redshift EIS clusters. I
Cited by in corpus (31)
- Data Mining and Machine Learning in Astronomy
- Stellar Locus Regression: Accurate Color Calibration, and the Real-time Determination of Galaxy Cluster Photometric Redshifts
- Giant radio galaxies in the LOFAR Two-metre Sky Survey-I
- Robust Machine Learning Applied to Astronomical Datasets III: Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS and GALEX
- Discovery of Magnetic Fields Along Stacked Cosmic Filaments as Revealed by Radio and X-Ray Emission
- Optical Substructure and BCG Offsets of Sunyaev-Zel'dovich and X-ray Selected Galaxy Clusters
- SPIDER - III. Environmental Dependence of the Fundamental Plane of Early-type Galaxies
- NoSOCS in SDSS. I. Sample Definition and Comparison of Mass Estimates
- Weak-Lensing Mass Measurements of Five Galaxy Clusters in the South Pole Telescope Survey Using Magellan/Megacam
- SPIDER IX - Classifying Galaxy Groups according to their Velocity Distribution
- Photometric redshifts and K-corrections for Sloan Digital Sky Survey Seven Data Release
- NoSOCS in SDSS. II. Mass Calibration of Low Redshift Galaxy Clusters with Optical and X-ray Properties
- Planck Intermediate Results. XXXVI. Optical identification and redshifts of Planck SZ sources with telescopes in the Canary Islands Observatories
- NoSOCS in SDSS III - The interplay between galaxy evolution and the dynamical state of galaxy clusters
- Polarized accretion shocks from the cosmic web
- Abell 1758N from an optical point of view: new insights on a merging cluster with diffuse radio emission
- NoSOCS in SDSS. IV. The Role of Environment Beyond the Extent of Galaxy Clusters
- NoSOCS in SDSS. V. Red Disc and Blue Bulge Galaxies Across Different Environments
- S-PLUS DR1 galaxy clusters and groups catalogue using PzWav
- RELICS: ICL Analysis of the merging cluster WHL J013719.8-08284
- A search for inter-cluster filaments with LOFAR and eROSITA
- Reliable Photometric Membership (RPM) of Galaxies in Clusters. I. A Machine Learning Method and its Performance in the Local Universe
- Segregation effects in DEEP2 galaxy groups
- The Influence of the Dynamic State of Galaxy Clusters on Segregation Phenomena and Velocity Dispersion Profiles
- The velocity field of the Lyra complex
- Stacking the Synchrotron Cosmic Web with FIGARO
- Searching for the Synchrotron Cosmic Web Again: A replication attempt
- Z-Sequence: Photometric redshift predictions for galaxy clusters with sequential random k-nearest neighbours
- Late growth of early-type galaxies in low-z massive clusters
- Validating Planck SZ2 Clusters with Optical Counterparts
- DESAlert: Enabling Real-Time Transient Follow-Up with Dark Energy Survey Data