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Proceedings Paper

The Dark Energy Survey data processing and calibration system
Author(s): Joseph J. Mohr; Robert Armstrong; Emmanuel Bertin; Greg Daues; Shantanu Desai; Michelle Gower; Robert Gruendl; William Hanlon; Nikolay Kuropatkin; Huan Lin; John Marriner; Donald Petravic; Ignacio Sevilla; Molly Swanson; Todd Tomashek; Douglas Tucker; Brian Yanny
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Paper Abstract

The Dark Energy Survey (DES) is a 5000 deg2 grizY survey reaching characteristic photometric depths of 24th magnitude (10 sigma) and enabling accurate photometry and morphology of objects ten times fainter than in SDSS. Preparations for DES have included building a dedicated 3 deg2 CCD camera (DECam), upgrading the existing CTIO Blanco 4m telescope and developing a new high performance computing (HPC) enabled data management system (DESDM). The DESDM system will be used for processing, calibrating and serving the DES data. The total data volumes are high (~ 2PB), and so considerable effort has gone into designing an automated processing and quality control system. Special purpose image detrending and photometric calibration codes have been developed to meet the data quality requirements, while survey astrometric calibration, coaddition and cataloging rely on new extensions of the AstrOmatic codes which now include tools for PSF modeling, PSF homogenization, PSF corrected model fitting cataloging and joint model fitting across multiple input images. The DESDM system has been deployed on dedicated development clusters and HPC systems in the US and Germany. An extensive program of testing with small rapid turn-around and larger campaign simulated datasets has been carried out. The system has also been tested on large real datasets, including Blanco Cosmology Survey data from the Mosaic2 camera. In Fall 2012 the DESDM system will be used for DECam commissioning, and, thereafter, the system will go into full science operations.

Paper Details

Date Published: 24 September 2012
PDF: 12 pages
Proc. SPIE 8451, Software and Cyberinfrastructure for Astronomy II, 84510D (24 September 2012); doi: 10.1117/12.926785
Show Author Affiliations
Joseph J. Mohr, Ludwig-Maximilians-Univ. München (Germany)
Max-Planck-Institut für extraterrestrische Physik (Germany)
Robert Armstrong, Univ. of Pennsylvania (United States)
Emmanuel Bertin, Institut d'Astrophysique de Paris (France)
Greg Daues, National Ctr. for Supercomputing Applications, Univ. of Illinois at Urbana-Champaign (United States)
Shantanu Desai, Ludwig-Maximilians-Univ. München (Germany)
Michelle Gower, National Ctr. for Supercomputing Applications, Univ. of Illinois at Urbana-Champaign (United States)
Robert Gruendl, Univ. of Illinois at Urbana-Champaign (United States)
William Hanlon, Univ. of Illinois at Urbana-Champaign (United States)
Nikolay Kuropatkin, Fermi National Accelerator Lab. (United States)
Huan Lin, Fermi National Accelerator Lab. (United States)
John Marriner, Fermi National Accelerator Lab. (United States)
Donald Petravic, National Ctr. for Supercomputing Applications, Univ. of Illinois at Urbana-Champaign (United States)
Ignacio Sevilla, Ctr. de Investigaciones Energéticas, Medioambientales y Tecnológicas (Spain)
Molly Swanson, Smithsonian Astrophysical Observatory, Harvard Smithsonian Ctr. for Astrophysics (United States)
Todd Tomashek, National Ctr. for Supercomputing Applications, Univ. of Illinois at Urbana-Champaign (United States)
Douglas Tucker, Fermi National Accelerator Lab. (United States)
Brian Yanny, Fermi National Accelerator Lab. (United States)


Published in SPIE Proceedings Vol. 8451:
Software and Cyberinfrastructure for Astronomy II
Nicole M. Radziwill; Gianluca Chiozzi, Editor(s)

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