4.4 Article

The Dark Energy Survey Image Processing Pipeline

Journal

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1538-3873/aab4ef

Keywords

cosmology: observations; dark energy; surveys; techniques: image processing; techniques: photometric

Funding

  1. National Science Foundation [NSF AST 07-15036, NSF AST 08-13543, OCI-0725070, ACI-1238993, AST-1138766, AST-1536171]
  2. National Center for Supercomputing Applications
  3. University of Illinois Department of Astronomy, the College of Language Arts and Science
  4. Ludwig-Maximilians University
  5. Excellence Cluster Universe
  6. Deutsche Forschungsgemeinschaft (DFG)
  7. University of Illinois at Urbana-Champaign
  8. state of Illinois
  9. U.S. Department of Energy
  10. U.S. National Science Foundation
  11. Ministry of Science and Education of Spain
  12. Science and Technology Facilities Council of the United Kingdom
  13. Higher Education Funding Council for England
  14. National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
  15. Kavli Institute of Cosmological Physics at the University of Chicago
  16. Center for Cosmology and Astro-Particle Physics at the Ohio State University
  17. Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
  18. Financiadora de Estudos e Projetos
  19. Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
  20. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
  21. Ministerio da Ciencia, Tecnologia e Inovacao
  22. Deutsche Forschungsgemeinschaft
  23. Argonne National Laboratory
  24. University of California at Santa Cruz
  25. University of Cambridge
  26. Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid
  27. University of Chicago
  28. University College London
  29. DES-Brazil Consortium
  30. University of Edinburgh
  31. Eidgenossische Technische Hochschule (ETH) Zurich
  32. Fermi National Accelerator Laboratory
  33. Institut de Ciencies de l'Espai (IEEC/CSIC)
  34. Institut de Fisica d'Altes Energies, Lawrence Berkeley National Laboratory
  35. Ludwig-Maximilians Universitat Munchen
  36. associated Excellence Cluster Universe
  37. University of Michigan
  38. National Optical Astronomy Observatory
  39. University of Nottingham
  40. Ohio State University
  41. University of Pennsylvania
  42. University of Portsmouth
  43. SLAC National Accelerator Laboratory, Stanford University
  44. University of Sussex
  45. Texas AM University
  46. OzDES Membership Consortium
  47. MINECO [AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, MDM-2015-0509]
  48. ERDF funds from the European Union
  49. CERCA program of the Generalitat de Catalunya
  50. European Research Council under the European Union's Seventh Framework Program (FP7)
  51. ERC [240672, 291329, 306478]
  52. Australian Research Council Centre of Excellence for Allsky Astrophysics (CAASTRO) [CE110001020]
  53. U.S. Department of Energy, Office of Science, Office of High Energy Physics [DE-AC02-07CH11359]
  54. Direct For Mathematical & Physical Scien [1515804] Funding Source: National Science Foundation

Ask authors/readers for more resources

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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