Mathematics – Logic
Scientific paper
May 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007agusmsm33d..08k&link_type=abstract
American Geophysical Union, Spring Meeting 2007, abstract #SM33D-08
Mathematics
Logic
0520 Data Analysis: Algorithms And Implementation, 0555 Neural Networks, Fuzzy Logic, Machine Learning, 2724 Magnetopause And Boundary Layers, 7924 Forecasting (2722)
Scientific paper
Progress in space physics has always been strongly dependent on analysis of in situ spacecraft measurements. However, the vast majority of spacecraft data go unexplored and with upcoming multi-spacecraft NASA missions (THEMIS, MMS, etc.) the growing size of data promises to outpace the ability of scientists to analyze them. There are several NASA funded initiatives such as VSO, CoSEC, VHO, and VSPO to use the Internet to develop a software environment for searching, obtaining and analyzing data from archives of data distributed at many sites around the world. A natural extension of the function of such portals is to provide sophisticated data mining capabilities. Accordingly we have combined the latest advances in the fields of distributed computing and data mining to develop a unique tool that serves as the "computational" engine for Virtual Observatories (VOs). This tool extends the capability of VOs from data portal to a science analysis center. As one of the initial utility of this software, we have applied the algorithms to study of flux transfer events. Results from analysis of CLUSTER data will be presented. Our customized data mining software can work as a stand alone or be integrated into existing and future space physics data assimilation infrastructures (e.g., VSPO, VHO). Finally, we note that San Diego Supercomputer Center (SDSC) has agreed to host data as well as our software on one of their clusters and make it available at no cost to the scientific community. This will enable access to their CPU farm and will be particularly valuable to promote usage of our software.
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