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The Dark Energy Survey Image Processing Pipeline

Authors :
Eric H. Neilsen
Felipe Menanteau
Gary Bernstein
M. Carrasco Kind
Brian Yanny
Shantanu Desai
Daniel A. Goldstein
Joseph J. Mohr
Eli S. Rykoff
E. Bertin
W. C. Wester
H. T. Diehl
Flavia Sobreira
J. P. Marriner
Don Petravick
Erin Sheldon
A. Benoit-Lévy
M. W. G. Johnson
G. Daues
Douglas L. Tucker
Douglas N. Friedel
Richard Kessler
T. S. Li
I. Sevilla-Noarbe
Y.-C. Chen
E. Buckley-Geer
M. Sako
C. Pond
Chow-Choong Ngeow
R. Covarrubias
Daniel Gruen
M. D. Johnson
Wayne A. Barkhouse
Eric Morganson
M. Gower
F. Paz-Chinchón
Robert Armstrong
K. Paech
Keith Bechtol
S. Allam
Robert A. Gruendl
Alex Drlica-Wagner
Huan Lin
Institut d'Astrophysique de Paris (IAP)
Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
DES
Institut d'Astrophysique de Paris ( IAP )
Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS )
Source :
Publ.Astron.Soc.Pac., Publ.Astron.Soc.Pac., 2018, 130 (989), pp.074501. ⟨10.1088/1538-3873/aab4ef⟩, INSPIRE-HEP, Publ.Astron.Soc.Pac., 2018, 130, pp.074501. 〈10.1088/1538-3873/aab4ef〉
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Publ.Astron.Soc.Pac., Publ.Astron.Soc.Pac., 2018, 130 (989), pp.074501. ⟨10.1088/1538-3873/aab4ef⟩, INSPIRE-HEP, Publ.Astron.Soc.Pac., 2018, 130, pp.074501. 〈10.1088/1538-3873/aab4ef〉
Accession number :
edsair.doi.dedup.....372e0b35c505d5ee87fab22fd2ab68c2
Full Text :
https://doi.org/10.1088/1538-3873/aab4ef⟩