Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology

By Alex Drlica-Wagner, I. Sevilla-Noarbe, Eli S. Rykoff, Robert A. Gruendl, Brian Yanny, Douglas L. Tucker, Ben Hoyle, A. Rosell, G. Bernstein, K. Bechtol and 79 more. 2017

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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 million objects detected in co-added images covering in the DES grizY filters. The 10σ limiting magnitude for galaxies is , , , , and . 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 ≲ 1.

Subfields: Astronomy and Astrophysics, Electrical and Electronic Engineering, Instrumentation

View Paper: https://www.semanticscholar.org/paper/54fe276845fe34b59cc80ddeefae8ca70a3f205f

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Citations in the corpus

Constraints on the Cosmic Expansion History from GWTC–3 (2021, methodology): “We do not consider deeper galaxy surveys with a restricted sky area footprint, such as the DES Y1 survey (Drlica-Wagner et al. 2018) or DESI Legacy Imaging Survey (Zou et al. 2019) that are supposed to be complete up to redshift z ∼ 1, since we decide to employ the same all-sky galaxy catalog for…”
Dark Energy Survey Year 1 Results: A Precise H0 Estimate from DES Y1, BAO, and D/H Data (2017, methodology): “We have used the recent DES Y1 data set to place a precise measurement of the Hubble constant by combining it with BAO and BBN data (Drlica-Wagner et al. 2017; Zuntz et al. 2017).”
Stellar Streams Discovered in the Dark Energy Survey (2018, methodology): “We used ngmix to fit a composite galaxy model (bulge plus disk) to each source in all bands simultaneously (Drlica-Wagner et al. 2017).”
The Dark Energy Survey Image Processing Pipeline (2018, methodology): “Some data are excluded from coaddition either at the exposure or CCD level (Drlica-Wagner et al. 2017).”
KiDS+VIKING-450 and DES-Y1 combined: Cosmology with cosmic shear (2019, background): “Together with the 10σ limiting magnitudes quoted in Drlica-Wagner et al. (2018) we estimate the noise level of the evolution-corrected model magnitudes.”