Remote distributed pipeline processing of GONG helioseismic data: experience and lessons learned

Jean N. Goodrich; Shukur Kholikov; Charles Lindsey; Anna Malanushenko; Chirag Shroff; Clifford Toner

doi:10.1117/12.552085

16 September 2004 Remote distributed pipeline processing of GONG helioseismic data: experience and lessons learned

Jean N. Goodrich, Shukur Kholikov, Charles Lindsey, Anna Malanushenko, Chirag Shroff, Clifford Toner

Proceedings Volume 5493, Optimizing Scientific Return for Astronomy through Information Technologies; (2004) https://doi.org/10.1117/12.552085
Event: SPIE Astronomical Telescopes + Instrumentation, 2004, Glasgow, United Kingdom

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.

Citation Download Citation

Jean N. Goodrich, Shukur Kholikov, Charles Lindsey, Anna Malanushenko, Chirag Shroff, and Clifford Toner "Remote distributed pipeline processing of GONG helioseismic data: experience and lessons learned", Proc. SPIE 5493, Optimizing Scientific Return for Astronomy through Information Technologies, (16 September 2004); https://doi.org/10.1117/12.552085

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