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The Australian National University

Application of Data-Mining Techniques to Plasma Phenomena in H-1

Honours, Masters, PhD
Application of Data-Mining Techniques to Plasma Phenomena in H-1

Recent advances in databases and intelligent algorithms have enabled machine-based ‘trawling’ of very large databases, to find both prescribed or already known phenomena, and by looking for data that does not fit known patterns, discover new behaviour. Association rules or clustering algorithms even allow machines to discern patterns without human guidance. H-1 provides a rich variety of instability phenomena, from the drift frequency range (low kHz) to higher magnetohydrodynamic (MHD) frequencies up to ~ 1MHz, from several types of sensor array sets. These include two 20 channel magnetic probe arrays (‘Mirnov’), two arrays of visible light detectors (miniature photomultiplier arrays) two `soft´ X-ray arrays and spatially scanning scanning plasma density interferometers. The data mining project is a combination of development of algorithms as described above, and physical understanding of the phenomena, with a weighting to best fit the student's interest and ability.

A/Prof Boyd Blackwell
Dr David Pretty

Updated:  01 July 2010/Responsible Officer:  H-1 Facility Manager /Page Contact:  H-1 Website Administrator