- Sánchez, C;
- Alarcon, A;
- Bernstein, GM;
- Sanchez, J;
- Pandey, S;
- Raveri, M;
- Prat, J;
- Weaverdyck, N;
- Sevilla-Noarbe, I;
- Chang, C;
- Baxter, E;
- Omori, Y;
- Jain, B;
- Alves, O;
- Amon, A;
- Bechtol, K;
- Becker, MR;
- Blazek, J;
- Choi, A;
- Campos, A;
- Rosell, A Carnero;
- Kind, M Carrasco;
- Crocce, M;
- Cross, D;
- DeRose, J;
- Diehl, HT;
- Dodelson, S;
- Drlica-Wagner, A;
- Eckert, K;
- Eifler, TF;
- Elvin-Poole, J;
- Everett, S;
- Fang, X;
- Fosalba, P;
- Gruen, D;
- Gruendl, RA;
- Harrison, I;
- Hartley, WG;
- Huang, H;
- Huff, EM;
- Kuropatkin, N;
- MacCrann, N;
- McCullough, J;
- Myles, J;
- Krause, E;
- Porredon, A;
- Rodriguez-Monroy, M;
- Rykoff, ES;
- Secco, LF;
- Sheldon, E;
- Troxel, MA;
- Yanny, B;
- Yin, B;
- Zhang, Y;
- Zuntz, J;
- Abbott, TMC;
- Aguena, M;
- Allam, S;
- Andrade-Oliveira, F;
- Bertin, E;
- Bocquet, S;
- Brooks, D;
- Burke, DL;
- Carretero, J;
- Castander, FJ;
- Cawthon, R;
- Conselice, C;
- Costanzi, M;
- Pereira, MES;
- Desai, S;
- Doel, P;
- Doux, C;
- Ferrero, I;
- Flaugher, B;
- Frieman, J;
- García-Bellido, J;
- Gutierrez, G;
- Herner, K;
- Hinton, SR;
- Hollowood, DL;
- Honscheid, K;
- James, DJ;
- Kuehn, K;
- Marshall, JL;
- Mena-Fernández, J;
- Menanteau, F;
- Miquel, R;
- Ogando, RLC;
- Palmese, A;
- Paz-Chinchón, F;
- Pieres, A;
- Malagón, AA Plazas;
- Sanchez, E;
- Scarpine, V;
- Schubnell, M;
- Smith, M;
- Suchyta, E;
- Tarle, G;
- Thomas, D;
- To, C
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. The analysis of galaxy clustering measurements, with a total signal to noise S/N ∼70 after scale cuts, yields robust cosmological constraints on a combination of the fraction of matter in the Universe