Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data

Crocce, M, Carretero, J, Bauer, A H, Ross, A J, Sevilla-Noarbe, I, Giannantonio, T, Sobreira, F, Sanchez, J, Gaztanaga, E, Carrasco Kind, M, Sánchez, C, Bonnett, C, Benoit-Lévy, A, Brunner, R J, Carnero Rosell, A, Cawthon, R, Fosalba, P, Hartley, W, Kim, E J, Leistedt, B, Miquel, R, Peiris, H V, Percival, W J, Rosenfeld, R, Rykoff, E S, Sánchez, E, Abbott, T, Abdalla, F B, Allam, S, Banerji, M, Bernstein, G M, Bertin, E, Brooks, D, Buckley-Geer, E, Burke, D L, Capozzi, D, Castander, F J, Cunha, C E, D'Andrea, C B, da Costa, L N, Desai, S, Diehl, H T, Eifler, T F, Evrard, A E, Fausti Neto, A, Fernandez, E, Finley, D A, Flaugher, B, Frieman, J, Gerdes, D W, Gruen, D, Gruendl, R A, Gutierrez, G, Honscheid, K, James, D J, Kuehn, K, Kuropatkin, N, Lahav, O, Li, T S, Lima, M, Maia, M A G, March, M, Marshall, J L, Martini, P, Melchior, P, Miller, C J, Neilsen, E, Nichol, R C, Nord, B, Ogando, R, Plazas, A A, Romer, A K, Sako, M, Santiago, B, Schubnell, M, Smith, R C, Soares-Santos, M, Suchyta, E, Swanson, M E C, Tarle, G, Thaler, J, Thomas, D, Vikram, V, Walker, A R, Wechsler, R H, Weller, J and Zuntz, J (2016) Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data. Monthly Notices of the Royal Astronomical Society, 455 (4). pp. 4301-4324. ISSN 0035-8711

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We study the clustering of galaxies detected at i < 22.5 in the Science Verification observations of the Dark Energy Survey (DES). Two-point correlation functions are measured using 2.3 × 106 galaxies over a contiguous 116 deg2 region in five bins of photometric redshift width Deltaz = 0.2 in the range 0.2 < z < 1.2. The impact of photometric redshift errors is assessed by comparing results using a template-based photo-z algorithm (BPZ) to a machine-learning algorithm (TPZ). A companion paper presents maps of several observational variables (e.g. seeing, sky brightness) which could modulate the galaxy density. Here we characterize and mitigate systematic errors on the measured clustering which arise from these observational variables, in addition to others such as Galactic dust and stellar contamination. After correcting for systematic effects, we measure galaxy bias over a broad range of linear scales relative to mass clustering predicted from the Planck Lambda cold dark matter model, finding agreement with the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) measurements with chi2 of 4.0 (8.7) with 5 degrees of freedom for the TPZ (BPZ) redshifts. We test a `linear bias' model, in which the galaxy clustering is a fixed multiple of the predicted non-linear dark matter clustering. The precision of the data allows us to determine that the linear bias model describes the observed galaxy clustering to 2.5 per cent accuracy down to scales at least 4-10 times smaller than those on which linear theory is expected to be sufficient.

Item Type: Article
Keywords: Surveys, Cosmology: observations, Large-scale structure of Universe
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Subjects: Q Science > QB Astronomy
Depositing User: Richard Chambers
Date Deposited: 23 Jun 2016 15:30
Last Modified: 07 Mar 2017 09:52

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Project NameSussex Project NumberFunderFunder Ref
Astrophysics and Cosmology - Sussex Consolidated GrantG1291STFC-SCIENCE AND TECHNOLOGY FACILITIES COUNCILST/L000652/1