Abstract
The fiducial cosmological analyses of imaging surveys like DES typically probe the Universe at redshifts z < 1. We present the selection and characterization of high-redshift galaxy samples using DES Year 3 data, and the analysis of their galaxy clustering measurements. In particular, we use galaxies that are fainter than those used in the previous DES Year 3 analyses and a Bayesian redshift scheme to define three tomographic bins with mean redshifts around z ∼0.9, 1.2, and 1.5, which extend the redshift coverage of the fiducial DES Year 3 analysis. These samples contain a total of about 9 million galaxies, and their galaxy density is more than 2 times higher than those in the DES Year 3 fiducial case. We characterize the redshift uncertainties of the samples, including the usage of various spectroscopic and high-quality redshift samples, and we develop a machine-learning method to correct for correlations between galaxy density and survey observing conditions.
Original language | English |
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Pages (from-to) | 3896-3922 |
Number of pages | 27 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 525 |
Issue number | 3 |
Early online date | 6 Sept 2023 |
DOIs | |
Publication status | Published - 1 Nov 2023 |
Keywords
- cosmological parameters
- galaxies: high-redshift
- large-scale structure of Universe
- UKRI
- STFC