Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology
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 ∼ 137 million objects detected in co-added images covering ∼ 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 ≲ 1.
- Publication:
-
The Astrophysical Journal Supplement Series
- Pub Date:
- April 2018
- DOI:
- 10.3847/1538-4365/aab4f5
- arXiv:
- arXiv:1708.01531
- Bibcode:
- 2018ApJS..235...33D
- Keywords:
-
- catalogs;
- cosmology: observations;
- surveys;
- techniques: image processing;
- techniques: photometric;
- Astrophysics - Cosmology and Nongalactic Astrophysics;
- Astrophysics - Instrumentation and Methods for Astrophysics
- E-Print:
- 43 pages, 28 figures, 8 tables