Dark energy survey year 3 results: Photometric data set for cosmology

DES Collaboration

doi:10.3847/1538-4365/abeb66

Dark energy survey year 3 results: Photometric data set for cosmology

DES Collaboration

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Abstract

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 i_AB ∼ 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 < i_AB < 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.

Original language	English
Article number	24
Journal	Astrophysical Journal, Supplement Series
Volume	254
Issue number	2
DOIs	https://doi.org/10.3847/1538-4365/abeb66
State	Published - Jun 2021

Funding

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.

Funders	Funder number
Brazilian Instituto Nacional de Ciência e Tecnologia
Fermi Research Alliance, LLC	DE-AC02-07CH11359
Spanish Space Research Program
National Science Foundation	AST-1138766, AST-1536171
U.S. Department of Energy
Office of Science
High Energy Physics	DE-SC0017647, DE-SC0020278
Seventh Framework Programme
Ministerio de Ciencia, Innovación y Universidades	AYA2017-84061-P
European Commission
European Research Council	240672, 306478, 291329
Generalitat de Catalunya
Federación Española de Enfermedades Raras
Conselho Nacional de Desenvolvimento Científico e Tecnológico	465376/2014-2
Ministerio de Ciencia e Innovación	SEV-2016-0588, SEV-2016-0597, MDM-2015-0509, PGC2018-094773, PGC2018-102021, ESP2017-89838
Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção
European Regional Development Fund
preparation for the science of EUCLID	ESP2017-84272-C2-1-R

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10.3847/1538-4365/abeb66

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@article{9ca58018eada4673853936cc0c257920,

title = "Dark energy survey year 3 results: Photometric data set for cosmology",

abstract = "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.",

author = "{DES Collaboration} and I. Sevilla-Noarbe and K. Bechtol and {Carrasco Kind}, M. and {Carnero Rosell}, A. and Becker, {M. R.} and A. Drlica-Wagner and Gruendl, {R. A.} and Rykoff, {E. S.} and E. Sheldon and B. Yanny and A. Alarcon and S. Allam and A. Amon and A. Benoit-L{\'e}vy and Bernstein, {G. M.} and E. Bertin and Burke, {D. L.} and J. Carretero and S. Everett and B. Flaugher and E. Gaztanaga and A. Choi and Diehl, {H. T.} and J. Gschwend and I. Harrison and Hartley, {W. G.} and B. Hoyle and M. Jarvis and Johnson, {M. D.} and R. Kessler and R. Kron and N. Kuropatkin and B. Leistedt and Li, {T. S.} and F. Menanteau and E. Morganson and Ogando, {R. L.C.} and A. Palmese and F. Paz-Chinch{\'o}n and A. Pieres and C. Pond and M. Rodriguez-Monroy and {Allyn Smith}, J. and Stringer, {K. M.} and Troxel, {M. A.} and Tucker, {D. L.} and {de Vicente}, J. and W. Wester and Y. Zhang and E. Suchyta",

year = "2021",

month = jun,

doi = "10.3847/1538-4365/abeb66",

language = "English",

volume = "254",

journal = "Astrophysical Journal, Supplement Series",

issn = "0067-0049",

publisher = "American Astronomical Society",

number = "2",

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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 - Allyn Smith, J.

AU - Stringer, K. M.

AU - Troxel, M. A.

AU - Tucker, D. L.

AU - de Vicente, J.

AU - Wester, W.

AU - Zhang, Y.

AU - Suchyta, E.

PY - 2021/6

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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.

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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 -

Dark energy survey year 3 results: Photometric data set for cosmology

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