Computer Science – Performance
Scientific paper
May 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21640222h&link_type=abstract
American Astronomical Society, AAS Meeting #216, #402.22; Bulletin of the American Astronomical Society, Vol. 41, p.876
Computer Science
Performance
Scientific paper
The immense volume of data generated by the suite of instruments on SDO requires new tools for efficiently identifying and accessing data that are most relevant to research investigations. We have developed the Heliophysics Events Knowledgebase (HEK) to fill this need. The system developed to support the HEK combines automated datamining using feature detection methods; high-performance visualization systems for data markup; and web-services and clients for searching the resulting metadata, reviewing results and efficient access to the data. We will review these components and present examples of their use with SDO data.
Chang Lei
Cheung Mark
Freeland Stephen
Green Shaun
Heck C.
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