Dark energy survey year 3 results: photometric data set for cosmology
Entity
UAM. Departamento de Física TeóricaPublisher
American Astronomical SocietyDate
2021-05-17Citation
10.3847/1538-4365/abeb66
Astrophysical Journal, Supplement Series 254.2 (2021): 24
ISSN
0067-0049 (print); 1538-4365 (online)DOI
10.3847/1538-4365/abeb66Project
Gobierno de España. ESP2017-89838; Gobierno de España. PGC2018-094773; Gobierno de España. PGC2018-102021; info:eu-repo/grantAgreement/EC/FP7/240672/EU//COGS; info:eu-repo/grantAgreement/EC/FP7/291329/EU//TESTDE; info:eu-repo/grantAgreement/EC/FP7/306478/EU//COSMICDAWN; Gobierno de España. AYA2017-84061-P; Gobierno de España. ESP2017-84272-C2-1-REditor's Version
https://doi.org/10.3847/1538-4365/abeb66Subjects
Surveys; Catalogs; Observational cosmology; FísicaNote
Artículo escrito por un elevado número de autores, solo se referencia el que aparece en primer lugar, el nombre del grupo de colaboración, si lo hubiere, y los autores pertenecientes a la UAMRights
© 2021 The American Astronomical SocietyAbstract
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
Files in this item
Google Scholar:Sevilla-Noarbe, I.
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García-Bellido Capdevila, Juan
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DES Collaboration
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