TY - JOUR
T1 - Dark energy survey year 3 results
T2 - Photometric data set for cosmology
AU - DES Collaboration
AU - Sevilla-Noarbe, I.
AU - Bechtol, K.
AU - Carrasco Kind, M.
AU - Carnero Rosell, A.
AU - Becker, M. R.
AU - Drlica-Wagner, A.
AU - Gruendl, R. A.
AU - Rykoff, E. S.
AU - Sheldon, E.
AU - Yanny, B.
AU - Alarcon, A.
AU - Allam, S.
AU - Amon, A.
AU - Benoit-Lévy, A.
AU - Bernstein, G. M.
AU - Bertin, E.
AU - Burke, D. L.
AU - Carretero, J.
AU - Everett, S.
AU - Flaugher, B.
AU - Gaztanaga, E.
AU - Choi, A.
AU - Diehl, H. T.
AU - Gschwend, J.
AU - Harrison, I.
AU - Hartley, W. G.
AU - Hoyle, B.
AU - Jarvis, M.
AU - Johnson, M. D.
AU - Kessler, R.
AU - Kron, R.
AU - Kuropatkin, N.
AU - Leistedt, B.
AU - Li, T. S.
AU - Menanteau, F.
AU - Morganson, E.
AU - Ogando, R. L.C.
AU - Palmese, A.
AU - Paz-Chinchón, F.
AU - Pieres, A.
AU - Pond, C.
AU - Rodriguez-Monroy, M.
AU - Zhang, Y.
AU - Avila, S.
AU - Chang, C.
AU - Marshall, J. L.
AU - Morgan, R.
AU - Smith, M.
AU - Thomas, D.
AU - Weller, J.
N1 - Funding Information:
K.B. acknowledges support from the U. S. Department of Energy, Office of Science, Office of High Energy Physics, under Award Nos. DE-SC0020278 and DE-SC0017647. The DES data management system is supported by the NSF under grant Nos. AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, 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 Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). A.C.R. acknowledges financial support from the Spanish Ministry of Science, Innovation and Universities (MICIU) under grant AYA2017-84061-P, co-financed by FEDER (European Regional Development Funds) and by the Spanish Space Research Program “Participation in the NISP instrument and preparation for the science of EUCLID” (ESP2017-84272-C2-1-R). This manuscript has been authored by Fermi Research Alliance, LLC under contract No. DE-AC02-07CH11359 with the U. S. Department of Energy, Office of Science, Office of High Energy Physics.
Publisher Copyright:
© 2021. The American Astronomical Society. All rights reserved.
PY - 2021/6/1
Y1 - 2021/6/1
N2 - We describe the Dark Energy Survey (DES) photometric data set assembled from the first three years of science operations to support DES Year 3 cosmologic analyses, and provide usage notes aimed at the broad astrophysics community. Y3 GOLD improves on previous releases from DES, Y1 GOLD, and Data Release 1 (DES DR1), presenting an expanded and curated data set that incorporates algorithmic developments in image detrending and processing, photometric calibration, and object classification. Y3 GOLD comprises nearly 5000 deg2 of grizY imaging in the south Galactic cap, including nearly 390 million objects, with depth reaching a signal-to-noise ratio ∼10 for extended objects up to iAB ∼ 23.0, and top-of-the-atmosphere photometric uniformity <3 mmag. Compared to DR1, photometric residuals with respect to Gaia are reduced by 50%, and per-object chromatic corrections are introduced. Y3 GOLD augments DES DR1 with simultaneous fits to multi-epoch photometry for more robust galactic color measurements and corresponding photometric redshift estimates. Y3 GOLD features improved morphological star–galaxy classification with efficiency >98% and purity >99% for galaxies with 19 < iAB < 22.5. Additionally, it includes per-object quality information, and accompanying maps of the footprint coverage, masked regions, imaging depth, survey conditions, and astrophysical foregrounds that are used to select the cosmologic analysis samples.
AB - We describe the Dark Energy Survey (DES) photometric data set assembled from the first three years of science operations to support DES Year 3 cosmologic analyses, and provide usage notes aimed at the broad astrophysics community. Y3 GOLD improves on previous releases from DES, Y1 GOLD, and Data Release 1 (DES DR1), presenting an expanded and curated data set that incorporates algorithmic developments in image detrending and processing, photometric calibration, and object classification. Y3 GOLD comprises nearly 5000 deg2 of grizY imaging in the south Galactic cap, including nearly 390 million objects, with depth reaching a signal-to-noise ratio ∼10 for extended objects up to iAB ∼ 23.0, and top-of-the-atmosphere photometric uniformity <3 mmag. Compared to DR1, photometric residuals with respect to Gaia are reduced by 50%, and per-object chromatic corrections are introduced. Y3 GOLD augments DES DR1 with simultaneous fits to multi-epoch photometry for more robust galactic color measurements and corresponding photometric redshift estimates. Y3 GOLD features improved morphological star–galaxy classification with efficiency >98% and purity >99% for galaxies with 19 < iAB < 22.5. Additionally, it includes per-object quality information, and accompanying maps of the footprint coverage, masked regions, imaging depth, survey conditions, and astrophysical foregrounds that are used to select the cosmologic analysis samples.
UR - http://www.scopus.com/inward/record.url?scp=85106630408&partnerID=8YFLogxK
U2 - 10.3847/1538-4365/abeb66
DO - 10.3847/1538-4365/abeb66
M3 - Article
AN - SCOPUS:85106630408
SN - 0067-0049
VL - 254
JO - Astrophysical Journal, Supplement Series
JF - Astrophysical Journal, Supplement Series
IS - 2
M1 - 24
ER -