The Large Synoptic Survey Telescope and Foundations for Data Exploitation of Petabyte Data Sets

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The next generation of imaging surveys in astronomy, such as the Large Synoptic Survey Telescope (LSST), will require multigigapixel cameras that can process enormous amounts of data read out every few seconds. This huge increase in data throughput (compared to megapixel cameras and minute- to hour-long integrations of today's instruments) calls for a new paradigm for extracting the knowledge content. We have developed foundations for this new approach. In this project, we have studied the necessary processes for extracting information from large time-domain databases systematics. In the process, we have produced significant scientific breakthroughs by developing new methods to probe ... continued below

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9 p. (0.2 MB)

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Cook, K H; Nikolaev, S & Huber, M E February 26, 2007.

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The next generation of imaging surveys in astronomy, such as the Large Synoptic Survey Telescope (LSST), will require multigigapixel cameras that can process enormous amounts of data read out every few seconds. This huge increase in data throughput (compared to megapixel cameras and minute- to hour-long integrations of today's instruments) calls for a new paradigm for extracting the knowledge content. We have developed foundations for this new approach. In this project, we have studied the necessary processes for extracting information from large time-domain databases systematics. In the process, we have produced significant scientific breakthroughs by developing new methods to probe both the elusive time and spatial variations in astrophysics data sets from the SuperMACHO (Massive Compact Halo Objects) survey, the Lowell Observatory Near-Earth Object Search (LONEOS), and the Taiwanese American Occultation Survey (TAOS). This project continues to contribute to the development of the scientific foundations for future wide-field, time-domain surveys. Our algorithm and pipeline development has provided the building blocks for the development of the LSST science software system. Our database design and performance measures have helped to size and constrain LSST database design. LLNL made significant contributions to the foundations of the LSST, which has applications for large-scale imaging and data-mining activities at LLNL. These developments are being actively applied to the previously mentioned surveys producing important scientific results that have been released to the scientific community and more continue to be published and referenced, enhancing LLNL's scientific stature.

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9 p. (0.2 MB)

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PDF-file: 9 pages; size: 0.2 Mbytes

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  • Report No.: UCRL-TR-228468
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/902312 | External Link
  • Office of Scientific & Technical Information Report Number: 902312
  • Archival Resource Key: ark:/67531/metadc888122

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • February 26, 2007

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

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  • April 17, 2017, 2:10 p.m.

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Cook, K H; Nikolaev, S & Huber, M E. The Large Synoptic Survey Telescope and Foundations for Data Exploitation of Petabyte Data Sets, report, February 26, 2007; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc888122/: accessed December 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.