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

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

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Título Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data
Autor Crocce, Martin
Carretero Palacios, Jorge
Bauer, Anne Hollister
Ross, A.J.
Sevilla Noarbe, Ignacio
Giannantonio,Tommaso
Sobreira, Flávia
Sanchez Lopez, Francisco Javier
Gaztañaga, Enrique
Carrasco Kind, Matías
Sánchez Alonso, Carles
Bonnett, Christopher
Benoit-Lévy, Aurélien
Brunner, Robert J.
Carnero Rosell, Aurelio
Cawthon, Ross
Fosalba Vela, Pablo
Hartley, William
Kim, Edward J.
Leistedt, Boris
Miquel, Ramon
Peiris, Hiranya V.
Percival, Will J.
Rosenfeld, Rogerio
Rykoff, Eli
Sanchez-Alvaro, Eusebio
Abbott, Timothy M. C.
Abdalla, Filipe B.
Allam, Sahar S.
Banerji, M.
Bernstein, Gary M.
Bertin, Emmanuel
Brooks, D.
Buckley-Geer, Elizabeth
Burke, David Lyle
Capozzi, Diego
Castander Serentill, Francisco Javier
Cunha, Carlos Eduardo
D'Andrea, Christopher B.
Costa, Luiz N. da
Desai, S.
Diehl, H. Thomas
Eifler, Tim
Evrard, August E.
Fausti Neto, Angelo
Fernandez, Enrique
Finley, David A.
Flaugher, Brenna
Frieman, Joshua A.
Gerdes, David W.
Gruen, Daniel
Gruendl, Robert A.
Gutierrez, Gaston R.
Honscheid, K.
James, David J.
Kuehn, Kyler
Kuropatkin, Nikolay P.
Lahav, Ofer
Li, T. S.
Lima, Marcos Vinicius Borges Teixeira
Maia, Marcio Antonio Geimba
March, Marisa Cristina
Marshall, Jennifer L.
Martini, Paul
Melchior, Peter M.
Miller, Christopher J.
Neilsen, Eric H.
Nichol, Robert C.
Nord, Brian Dennis
Ogando, Ricardo L.C.
Plazas Malagón, Andrés Alejandro
Romer, Anita K.
Sako, Masao
Santiago, Basilio Xavier
Schubnell, Michael
Smith, Robert Christopher
Soares-Santos, Marcelle
Suchyta, Eric
Swanson, Molly E. C.
Tarle, Gregory
Thaler, Jon J.
Thomas, D.
Vikram, Vinu
Walker, Alistair
Wechsler, Risa H.
Weller, Jochen
Zuntz, J.
DES Collaboration
Abstract 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 z = 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 cold dark matter model, finding agreement with the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) measurements with χ2 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.
Contido em Monthly notices of the Royal Astronomical Society. Oxford. Vol. 455, no. 4 (Feb. 2016), p. 3413-3423
Assunto Galaxias
Mapeamentos astronômicos
[en] Cosmology: observations
[en] Large-scale structure of universe
[en] Surveys
Origem Estrangeiro
Tipo Artigo de periódico
URI http://hdl.handle.net/10183/140346
Arquivos Descrição Formato
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