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

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posted on 2023-06-09, 01:52 authored by M Crocce, J Carretero, A H Bauer, A J Ross, I Sevilla-Noarbe, T Giannantonio, F Sobreira, J Sanchez, E Gaztanaga, M Carrasco Kind, C Sánchez, C Bonnett, A Benoit-Lévy, R J Brunner, A Carnero Rosell, R Cawthon, P Fosalba, W Hartley, E J Kim, B Leistedt, R Miquel, H V Peiris, W J Percival, R Rosenfeld, E S Rykoff, E Sánchez, T Abbott, F B Abdalla, S Allam, M Banerji, G M Bernstein, E Bertin, D Brooks, E Buckley-Geer, D L Burke, D Capozzi, F J Castander, C E Cunha, C B D'Andrea, L N da Costa, S Desai, H T Diehl, T F Eifler, A E Evrard, A Fausti Neto, E Fernandez, D A Finley, B Flaugher, J Frieman, D W Gerdes, D Gruen, R A Gruendl, G Gutierrez, K Honscheid, D J James, K Kuehn, N Kuropatkin, O Lahav, T S Li, M Lima, M A G Maia, M March, J L Marshall, P Martini, P Melchior, C J Miller, E Neilsen, R C Nichol, B Nord, R Ogando, A A Plazas, Kathy RomerKathy Romer, M Sako, B Santiago, M Schubnell, R C Smith, M Soares-Santos, E Suchyta, M E C Swanson, G Tarle, J Thaler, D Thomas, V Vikram, A R Walker, R H Wechsler, J Weller, J Zuntz
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.

Funding

Astrophysics and Cosmology - Sussex Consolidated Grant; G1291; STFC-SCIENCE AND TECHNOLOGY FACILITIES COUNCIL; ST/L000652/1

History

Publication status

  • Published

File Version

  • Published version

Journal

Monthly Notices of the Royal Astronomical Society

ISSN

0035-8711

Publisher

Oxford University Press

Issue

4

Volume

455

Page range

4301-4324

Department affiliated with

  • Physics and Astronomy Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2016-06-23

First Open Access (FOA) Date

2016-06-23

First Compliant Deposit (FCD) Date

2016-06-23

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