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Proceedings Paper

Remote distributed pipeline processing of GONG helioseismic data: experience and lessons learned
Author(s): Jean N. Goodrich; Shukur Kholikov; Charles Lindsey; Anna Malanushenko; Chirag Shroff; Clifford Toner
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Paper Abstract

The Global Oscillation Network Group (GONG) helioseismic network can create images of the farside of the Sun which frequently show the presence of large active regions that would be otherwise invisible. This ability to "see" through the sun is of potential benefit to the prediction of solar influences on the Earth, provided that the data can be obtained and reduced in a timely fashion. Thus, GONG is developing a system to A) perform initial data analysis steps at six geographically distributed sites, B) transmit the reduced data to a home station, C) perform the final steps in the analysis, and D) distribute the science products to space weather forecasters. The essential requirements are that the system operate automatically around the clock with little human intervention, and that the science products be available no more than 48 hours after the observations are obtained. We will discuss the design, implementation, testing, and current status of the system.

Paper Details

Date Published: 16 September 2004
PDF: 9 pages
Proc. SPIE 5493, Optimizing Scientific Return for Astronomy through Information Technologies, (16 September 2004); doi: 10.1117/12.552085
Show Author Affiliations
Jean N. Goodrich, National Solar Observatory (United States)
Shukur Kholikov, National Solar Observatory (United States)
Charles Lindsey, Colorado Research Associates (United States)
Anna Malanushenko, St. Petersburg Univ. (Russia)
Chirag Shroff, National Solar Observatory (United States)
Clifford Toner, National Solar Observatory (United States)

Published in SPIE Proceedings Vol. 5493:
Optimizing Scientific Return for Astronomy through Information Technologies
Peter J. Quinn; Alan Bridger, Editor(s)

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