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dc.contributor.authorBoesse, Carolyn
dc.contributor.authorHenry, Michael
dc.contributor.authorHyde, Truell
dc.contributor.authorMatthews, Lorin
dc.date.accessioned2010-08-24T21:13:14Z
dc.date.available2010-08-24T21:13:14Z
dc.date.issued2004
dc.identifier.citationAdvances in Space Research, 34(11), 2374-2378, 2004en
dc.identifier.urihttp://hdl.handle.net/2104/8003
dc.description.abstractDust particles immersed within a plasma environment, such as those found in planetary rings or cometary environments, will acquire an electric charge. If the ratio of interparticle potential energy to average kinetic energy is high enough the particles will form either a ‘liquid’ structure with short-range ordering or a crystalline structure with long-range ordering. Since their discovery in laboratory environments in 1994, such crystals have been the subject of a variety of experimental, theoretical, and numerical investigations. Laboratory experiments analyzing the behavior of dust grains in a plasma rely on optical diagnostics to provide data about the system in a non-perturbative manner. In the past, capturing, imaging, and analyzing crystalline structure in dusty plasmas has been a non-trivial problem. Utilizing digital imaging and analysis systems, data capture, image formatting, and analysis can be done quickly. Following data capture, image analysis is conducted using modified Particle Image Velocimetry and Particle Tracking Velocimetry algorithms. The data extracted is then used to construct Voronoi diagrams, calculate particle density, inter-particle spacing, pair correlation functions, and thermal energy. From this data other dust plasma parameters can be inferred such as inter-particle forces and grain charges.en
dc.format.extent439018 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherAdvances in Space Researchen
dc.titleDigital Imaging and Analysis of Dusty Plasmasen
dc.typeArticleen
dc.identifier.doi10.1016/j.asr.2003.02.069
dc.description.keywordsDusty plasmasen
dc.description.keywordsDigital imaging and analysisen
dc.description.keywordsParticle Image Velocimetry algorithmen
dc.description.keywordsParticle Tracking Velocimetry algorithmen


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