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Grist : grid-based data mining for astronomy

Show simple item record Jacob, Joseph C. Katz, Daniel S. Miller, Craig D. Walia, Harshpreet Williams, Roy Djorgovski, S. George Graham, Matthew J. Mahabal, Ashish Babu, Jogesh Berk, Daniel E. Vanden Nichol, Robert 2006-07-27T17:17:32Z 2006-07-27T17:17:32Z 2004-10-24
dc.identifier.citation Astronomical Data Analysis Software & Systems, ADASS-2004, Pasadena, California, October 24-27, 2004. en
dc.identifier.clearanceno Astronomical Data Analysis Software & Systems, ADASS-2004, Pasadena, California, October 24-27, 2004.
dc.identifier.clearanceno 04-3707
dc.description.abstract The Grist project is developing a grid-technology based system as a research environment for astronomy with massive and complex datasets. This knowledge extraction system will consist of a library of distributed grid services controlled by a workflow system, compliant with standards emerging from the grid computing, web services, and virtual observatory communities. This new technology is being used to find high redshift quasars, study peculiar variable objects, search for transients in real time, and fit SDSS QSO spectra to measure black hole masses. Grist services are also a component of the “hyperatlas” project to serve high-resolution multi-wavelength imagery over the Internet. In support of these science and outreach objectives, the Grist framework will provide the enabling fabric to tie together distributed grid services in the areas of data access, federation, mining, subsetting, source extraction, image mosaicking, statistics, and visualization. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 1030119 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004. en
dc.subject grid computing en
dc.subject astronomy en
dc.subject virtual observatory en
dc.title Grist : grid-based data mining for astronomy en
dc.type Preprint en

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