Laher, Russ R. and Levine, Deborah and Mannings, Vince and McGehee, Peregrine and Rho, Jeonghee and Shaw, Richard A. and Kantor, Jeff (2009) LSST Science Data Quality Analysis Subsystem Design. In: Astronomical Data Analysis Software and Systems XVIII. ASP Conference Series (411). Astronomical Society of the Pacific, , San Francisco, CA, pp. 106-109. ISBN 978-1-58381-702-5 http://resolver.caltech.edu/CaltechAUTHORS:20100913-152747842
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The Large Synoptic Survey Telescope (LSST) will have a Science Data Quality Analysis (SDQA) subsystem for vetting its unprecedented volume of astronomical image data. The SDQA subsystem inhabits three basic realms: image processing, graphical-user-interface (GUI) tools, and alarms/reporting. During pipeline image processing, SDQA data are computed for the images and astronomical sources extracted from the images, and utilized to grade the images and sources. Alarms are automatically sent, if necessary, to initiate swift response to problems found. Both SDQA data and machine-determined grades are stored in a database. At the end of a data-processing interval, e.g., nightly processing or data-release reprocessing, automatic SDQA reports are generated from SDQA data and grades queried from the database. The SDQA reports summarize the science data quality and provide feedback to telescope, camera, facility, observation-scheduling and data-processing personnel. During operations, GUI tools facilitate visualization of image and SDQA data in a variety of ways that allow a small SDQA-operations team of humans to quickly and easily perform manual SDQA on a substantial fraction of LSST data products, and possibly reassign SDQA grades as a result of the visual inspection.
|Item Type:||Book Section|
|Additional Information:||© 2009 Astronomical Society of the Pacific.|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||16 Sep 2010 22:21|
|Last Modified:||26 Dec 2012 12:25|
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