The Dark Energy Survey Image Processing Pipeline

Morganson, E and Gruendl, R A and Menanteau, F and Kind, M. Carrasco and Chen, Y-C and Daues, G and Drlica-Wagner, A and Friedel, D N and Gower, M and Johnson, M W G and Johnson, M D and Kessler, R and Paz-Chinchón, F and Petravick, D and Pond, C and Yanny, B and Allam, S and Armstrong, R and Barkhouse, W and Bechtol, K and Benoit-Lévy, A and Bernstein, G M and Bertin, E and Buckley-Geer, E J and Covarrubias, R and Desai, Shantanu and et al, . (2018) The Dark Energy Survey Image Processing Pipeline. Publications of the Astronomical Society of the Pacific, 130 (989). ISSN 0004-6280

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Abstract

The Dark Energy Survey (DES) is a five-year optical imaging campaign with the goal of understanding the origin of cosmic acceleration. DES performs a similar to 5000 deg(2) survey of the southern sky in five optical bands (g, r, i, z, Y) to a depth of similar to 24th magnitude. Contemporaneously, DES performs a deep, time-domain survey in four optical bands (g, r, i, z) over similar to 27 deg(2). DES exposures are processed nightly with an evolving data reduction pipeline and evaluated for image quality to determine if they need to be retaken. Difference imaging and transient source detection are also performed in the time domain component nightly. On a bi-annual basis, DES exposures are reprocessed with a refined pipeline and coadded to maximize imaging depth. Here we describe the DES image processing pipeline in support of DES science, as a reference for users of archival DES data, and as a guide for future astronomical surveys.

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IITH Creators:
IITH CreatorsORCiD
Desai, Shantanuhttp://orcid.org/0000-0002-0466-3288
Item Type: Article
Uncontrolled Keywords: cosmology: observations; dark energy; surveys; techniques: image processing; techniques: photometric
Subjects: Physics
Depositing User: Team Library
Date Deposited: 04 Jun 2018 10:54
Last Modified: 04 Jun 2018 10:54
URI: http://raiithold.iith.ac.in/id/eprint/3984
Publisher URL: http://doi.org/10.1088/1538-3873/aab4ef
OA policy: http://www.sherpa.ac.uk/romeo/issn/0004-6280/
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