Pattern Recognition of Space Plasma Regimes

Guan, Pengfei 1987-

Pattern Recognition of Space Plasma Regimes

dc.contributor.advisor	Vilalta, Ricardo
dc.contributor.committeeMember	Shah, Shishir Kirit
dc.contributor.committeeMember	Prasad, Saurabh
dc.creator	Guan, Pengfei 1987-
dc.date.accessioned	2013-07-16T15:55:56Z
dc.date.available	2013-07-16T15:55:56Z
dc.date.created	May 2013
dc.date.issued	2013-05
dc.date.updated	2013-07-16T15:56:01Z
dc.description.abstract	Space plasma is made of electrically charged gases or fluids in space that are made up of free electrons and ions. They are studied extensively not only to analyze the dynamic processes of stellar bodies but also to understand various phenomena including particle acceleration, wave-particle interaction, applied science of space weather, and its impact on human technology. The identification of primary particles of plasma is of utmost importance for these kinds of research. There is considerable amount of data available; however, deriving a formula or methods for manual plasma regime identification is extremely time consuming, and can be highly unreliable and lack robustness. An automatic process of classifying these primary particles is of high demand. Currently, existing techniques that use machine learning algorithms have difficulty in distinguishing perceptible boundaries and regions as good as the human eye. In contrast, we propose a classification method to identify plasma particles automatically given a highly diversified time series data, based on energy and pitch angle. We came up with this algorithm after exploiting various learning techniques on the entire available data. Experiments are reported on datasets obtained from the Fast Auroral SnapshoT (FAST) explorer, which is the second mission in NASA’s Small Explorer Satellite Program (SMEX).
dc.description.department	Computer Science, Department of
dc.format.digitalOrigin	born digital
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/10657/405
dc.language.iso	eng
dc.rights	The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subject	Pattern recognition
dc.subject	Space Plasma
dc.subject	FAST
dc.subject	Space Weather
dc.subject.lcsh	Computer science
dc.title	Pattern Recognition of Space Plasma Regimes
dc.type.dcmi	Text
dc.type.genre	Thesis
thesis.degree.college	College of Natural Sciences and Mathematics
thesis.degree.department	Computer Science, Department of
thesis.degree.discipline	Computer Science
thesis.degree.grantor	University of Houston
thesis.degree.level	Masters
thesis.degree.name	Master of Science