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Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization

Gatti, M. and Eifler, T. F. (2018) Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization. Monthly Notices of the Royal Astronomical Society, 477 (2). pp. 1664-1682. ISSN 0035-8711. doi:10.1093/mnras/sty466.

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We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing source galaxies from the Dark Energy Survey Year 1 sample with redMaGiC galaxies (luminous red galaxies with secure photometric redshifts) to estimate the redshift distribution of the former sample. The recovered redshift distributions are used to calibrate the photometric redshift bias of standard photo-z methods applied to the same source galaxy sample. We apply the method to two photo-z codes run in our simulated data: Bayesian Photometric Redshift and Directional Neighbourhood Fitting. We characterize the systematic uncertainties of our calibration procedure, and find that these systematic uncertainties dominate our error budget. The dominant systematics are due to our assumption of unevolving bias and clustering across each redshift bin, and to differences between the shapes of the redshift distributions derived by clustering versus photo-zs. The systematic uncertainty in the mean redshift bias of the source galaxy sample is Δz ≲ 0.02, though the precise value depends on the redshift bin under consideration. We discuss possible ways to mitigate the impact of our dominant systematics in future analyses.

Item Type:Article
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Eifler, T. F.0000-0002-1894-3301
Additional Information:© 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Accepted 2018 January 29. Received 2018 January 29; in original form 2017 September 5. Published: 22 February 2018. This paper has gone through internal review by the DES collaboration. It has been assigned DES paper id DES-2017-0261 and FermiLab preprint number PUB-17-317-A-AE. Support for DG was provided by NASA through Einstein Post-doctoral Fellowship grant number PF5-160138 awarded by the Chandra X-ray Center, which is operated by the Smithsonian Astrophysical Observatory for NASA under contract NAS8-03060. ER acknowledges support by the DOE Early Career Program, DOE grant DE-SC0015975, and the Sloan Foundation grant FG-2016-6443. Funding for the DES Projects has been provided by the US Department of Energy, the US National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft, and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l'Espai (IEEC/CSIC), the Institut de Física d'Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. This study based in part on observations at Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, which is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-88861, FPA2015-68048, SEV-2012-0234, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), through project number CE110001020. This paper has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the US Department of Energy, Office of Science, Office of High Energy Physics. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this paper, or allow others to do so, for United States Government purposes. This research used computing resources at SLAC National Accelerator Laboratory, and at the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the US Department of Energy under Contract No. DE-AC02-05CH11231. This research was funded partially by the Australian Government through the Australian Research Council through project DP160100930.
Funding AgencyGrant Number
NASA Einstein FellowshipPF5-160138
Department of Energy (DOE)DE-SC0015975
Alfred P. Sloan FoundationFG-2016-6443
Ministerio de Economía, Industria y Competitividad (MINECO)AYA2015-71825
Ministerio de Economía, Industria y Competitividad (MINECO)ESP2015-88861
Ministerio de Economía, Industria y Competitividad (MINECO)FPA2015-68048
Centro de Excelencia Severo OchoaSEV-2012-0234
Centro de Excelencia Severo OchoaSEV-2016-0597
Ministerio de Economía, Industria y Competitividad (MINECO)MDM-2015-0509
European Regional Development FundUNSPECIFIED
Generalitat de CatalunyaUNSPECIFIED
European Research Council (ERC)240672
European Research Council (ERC)291329
European Research Council (ERC)306478
Australian Research CouncilCE110001020
Department of Energy (DOE)DE-AC02-07CH11359
Department of Energy (DOE)DE-AC02-05CH11231
Australian Research CouncilDP160100930
Subject Keywords:galaxies: distances and redshifts – cosmology: observations
Issue or Number:2
Record Number:CaltechAUTHORS:20180628-081134467
Persistent URL:
Official Citation:M Gatti, P Vielzeuf, C Davis, R Cawthon, M M Rau, J DeRose, J De Vicente, A Alarcon, E Rozo, E Gaztanaga, B Hoyle, R Miquel, G M Bernstein, C Bonnett, A Carnero Rosell, F J Castander, C Chang, L N da Costa, D Gruen, J Gschwend, W G Hartley, H Lin, N MacCrann, M A G Maia, R L C Ogando, A Roodman, I Sevilla-Noarbe, M A Troxel, R H Wechsler, J Asorey, T M Davis, K Glazebrook, S R Hinton, G Lewis, C Lidman, E Macaulay, A Möller, C R O'Neill, N E Sommer, S A Uddin, F Yuan, B Zhang, T M C Abbott, S Allam, J Annis, K Bechtol, D Brooks, D L Burke, D Carollo, M Carrasco Kind, J Carretero, C E Cunha, C B D'Andrea, D L DePoy, S Desai, T F Eifler, A E Evrard, B Flaugher, P Fosalba, J Frieman, J García-Bellido, D W Gerdes, D A Goldstein, R A Gruendl, G Gutierrez, K Honscheid, J K Hoormann, B Jain, D J James, M Jarvis, T Jeltema, M W G Johnson, M D Johnson, E Krause, K Kuehn, S Kuhlmann, N Kuropatkin, T S Li, M Lima, J L Marshall, P Melchior, F Menanteau, R C Nichol, B Nord, A A Plazas, K Reil, E S Rykoff, M Sako, E Sanchez, V Scarpine, M Schubnell, E Sheldon, M Smith, R C Smith, M Soares-Santos, F Sobreira, E Suchyta, M E C Swanson, G Tarle, D Thomas, B E Tucker, D L Tucker, V Vikram, A R Walker, J Weller, W Wester, R C Wolf; Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization, Monthly Notices of the Royal Astronomical Society, Volume 477, Issue 2, 21 June 2018, Pages 1664–1682,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87433
Deposited By: Tony Diaz
Deposited On:28 Jun 2018 16:42
Last Modified:15 Nov 2021 20:48

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