Dark energy survey year 1 results: photometric data set for cosmology
Year: 2017
Type: report
Abstract: We describe the creation, content, and validation of the Dark Energy Survey (DES) internal year-one cosmology data set, Y1A1 GOLD, in support of upcoming cosmological analyses. The Y1A1 GOLD data set is assembled from multiple epochs of DES imaging and consists of calibrated photometric zero-points, object catalogs, and ancillary data products—e.g., maps of survey depth and observing conditions, star–galaxy classification, and photometric redshift estimates—that are necessary for accurate cosmological analyses. The Y1A1 GOLD wide-area object catalog consists of $\\sim 137$ million objects detected in co-added images covering $\\sim 1800\\,{\\deg }^{2}$ in the DES grizY filters. The 10σ limiting magnitude for galaxies is $g=23.4$, $r=23.2$, $i=22.5$, $z=21.8$, and $Y=20.1$. Photometric calibration of Y1A1 GOLD was performed by combining nightly zero-point solutions with stellar locus regression, and the absolute calibration accuracy is better than 2% over the survey area. DES Y1A1 GOLD is the largest photometric data set at the achieved depth to date, enabling precise measurements of cosmic acceleration at z lesssim 1.
Author: Lima, Marcos Vinicius Borges Teixeira
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, Smithsonian Institution, U.S. Department of Energy, National Aeronautics and Space Administration, Alfred P. Sloan Foundation, Yale University, Vanderbilt University, Princeton University, University of Pennsylvania, Ohio State University, California Institute of Technology, Harvard University, University of Chicago, University of Washington, Johns Hopkins University, Carnegie Mellon University, University of Portsmouth, New Mexico State University, Centres de Recerca de Catalunya, York University, University College London, European Commission, University of Sussex, Deutsche Forschungsgemeinschaft, Generalitat de Catalunya, Ministério da Ciência, Tecnologia e Inovação, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Centre National de la Recherche Scientifique, Financiadora de Estudos e Projetos, Institut de Física d'Altes Energies, University of Illinois at Urbana-Champaign, Office of Science, College of Engineering, Michigan State University, Smithsonian Astrophysical Observatory, Canadian Space Agency, Natural Sciences and Engineering Research Council of Canada, Science and Technology Facilities Council, Institut national des sciences de l'Univers, European Regional Development Fund, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, High Energy Physics, Integrated Electronics Engineering Center, Binghamton University, Argonne National Laboratory, Fermilab, Brookhaven National Laboratory, Lawrence Berkeley National Laboratory, SLAC National Accelerator Laboratory
Awards: G1262663002, G1265542407, G1313983767, G1365077241, G1390571956, G1491530973, G154696372, G1750188476, G1794164356, G1901275625, G1902077816, G1907584174, G202437493, G2113737965, G2116710194, G2401681081, G2409381996, G2889832660, G3156532051, G344234497, G3523651922, G3561758408, G3815726687, G4190731823, G4358410844, G4404904460, G4668986155, G498139845, G5616713406, G5618439284, G575811400, G5780980149, G585908603, G6182760190, G6670539334, G6889587812, G7038324121, G712887965, G716412294, G7290792616, G7543250249, G7696339486, G7835623888, G792268751, G7957276493, Collaborative Research: The Dark Energy Survey Data Management Operations, G8493109902, G86560745, G969889393
OpenAlex ID: W6928716697