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The Dark Energy Survey Data Management System

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arxiv 1109.6741 v1 pith:HJEKNXEN submitted 2011-09-30 astro-ph.IM

I. Sevilla , R. Armstrong , E. Bertin , A. Carlson , G. Daues , S. Desai , M. Gower , R. Gruendl
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W. Hanlon M. Jarvis R. Kessler N. Kuropatkin H. Lin J. Marriner J. Mohr D. Petravick E. Sheldon M.E.C. Swanson T. Tomashek D. Tucker Y. Yang B. Yanny (for the DES Collaboration)
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keywords datasystemwillmanagementsurveycalibrationcodesdark
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The Dark Energy Survey (DES) is a project with the goal of building, installing and exploiting a new 74 CCD-camera at the Blanco telescope, in order to study the nature of cosmic acceleration. It will cover 5000 square degrees of the southern hemisphere sky and will record the positions and shapes of 300 million galaxies up to redshift 1.4. The survey will be completed using 525 nights during a 5-year period starting in 2012. About O(1 TB) of raw data will be produced every night, including science and calibration images. The DES data management system has been designed for the processing, calibration and archiving of these data. It is being developed by collaborating DES institutions, led by NCSA. In this contribution, we describe the basic functions of the system, what kind of scientific codes are involved and how the Data Challenge process works, to improve simultaneously the Data Management system algorithms and the Science Working Group analysis codes.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Edges In Coadded Images

    astro-ph.CO 2025-09 unverdicted novelty 5.0 of 10

    Edge discontinuities in coadds cause significant shear biases only in extreme cases such as two-input-image stacks or 25% PSF size jumps, and these cases can be flagged and removed with a simple PSF variation statistic.

  2. Edges In Coadded Images

    astro-ph.CO 2025-09 unverdicted novelty 4.0 of 10

    Edge discontinuities in coadded images cause no significant shear bias for typical galaxy populations and coadd conditions, but can exceed requirements in extremes like two-input coadds or 25% PSF variation.

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