Euclid Preparation: XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3

Abstract

The Complete Calibration of the Color-Redshift Relation (C3R2) survey is obtaining spectroscopic redshifts in order to map the relation between galaxy color and redshift to a depth of i ~ 24.5 (AB). The primary goal is to enable sufficiently accurate photometric redshifts for Stage IV dark energy projects, particularly Euclid and the Roman Space Telescope, which are designed to constrain cosmological parameters through weak lensing. We present 676 new high-confidence spectroscopic redshifts obtained by the C3R2 survey in the 2017B-2019B semesters using the DEIMOS, LRIS, and MOSFIRE multi-object spectrographs on the Keck telescopes. Combined with the 4454 redshifts previously published by this project, the C3R2 survey has now obtained and published 5130 high-quality galaxy spectra and redshifts. If we restrict consideration to only the 0.2 < z(phot) < 2.6 range of interest for the Euclid cosmological goals, then with the current data release C3R2 has increased the spectroscopic redshift coverage of the Euclid color space from 51% (as reported by Masters et al. 2015) to the current 91%. Once completed and combined with extensive data collected by other spectroscopic surveys, C3R2 should provide the spectroscopic calibration set needed to enable photometric redshifts to meet the cosmology requirements for Euclid, and make significant headway toward solving the problem for Roman.

arXiv comment14 pages, 7 figures, 4 tables. Accepted for publication in The Astrophysical Journal Supplement. Survey website with links to the C3R2 redshift catalog and the spectroscopic data hosted by the Keck Observatory Archive can be found at https://sites.google.com/view/c3r2-survey/home

References in corpus (29)

• EAZY: A Fast, Public Photometric Redshift Code
• Accurate photometric redshifts for the CFHT Legacy Survey calibrated using the VIMOS VLT Deep Survey
• Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
• COSMOS Photometric Redshifts with 30-bands for 2-deg2
• Bayesian photometric redshift estimation
• The COSMOS2015 Catalog: Exploring the 1<z<6 Universe with half a million galaxies
• The Hyper Suprime-Cam SSP Survey: Overview and Survey Design
• KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing
• Measuring and Modelling the Redshift Evolution of Clustering: the Hubble Deep Field North
• The DEEP2 Galaxy Redshift Survey: Design, Observations, Data Reduction, and Redshifts
• Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear
• Strong Nebular Line Ratios in the Spectra of z~2-3 Star-forming Galaxies: First Results from KBSS-MOSFIRE
• ANNz: estimating photometric redshifts using artificial neural networks
• Systematic Errors in Future Weak Lensing Surveys: Requirements and Prospects for Self-Calibration
• The first and second data releases of the Kilo-Degree Survey
• Calibrating Redshift Distributions Beyond Spectroscopic Limits with Cross-Correlations
• Effect of Photometric Redshift Uncertainties on Weak Lensing Tomography
• TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests
• The third data release of the Kilo-Degree Survey and associated data products
• Estimating the Redshift Distribution of Faint Galaxy Samples
• Mapping the Galaxy Color-Redshift Relation: Optimal Photometric Redshift Calibration Strategies for Cosmology Surveys
• The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Survey Overview and Data Release 1
• The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Analysis and Data Release 2
• On using angular cross-correlations to determine source redshift distributions
• Euclid preparation: X. The Euclid photometric-redshift challenge
• Recovering Redshift Distributions with Cross-Correlations: Pushing The Boundaries
• Clustering-based redshift estimation: method and application to data
• The-wiZZ: Clustering redshift estimation for everyone
• Euclid preparation: VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release

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