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Digital Imaging and Analysis of Dusty Plasmas

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dc.contributor.author Boesse, Carolyn
dc.contributor.author Henry, Michael
dc.contributor.author Hyde, Truell
dc.contributor.author Matthews, Lorin
dc.identifier.citation Advances in Space Research, 34(11), 2374-2378, 2004 en
dc.identifier.uri http://hdl.handle.net/2104/8003
dc.description.abstract Dust 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.publisher Advances in Space Research en
dc.title Digital Imaging and Analysis of Dusty Plasmas en
dc.type Article en
dc.identifier.doi 10.1016/j.asr.2003.02.069
dc.description.keywords Dusty plasmas en
dc.description.keywords Digital imaging and analysis en
dc.description.keywords Particle Image Velocimetry algorithm en
dc.description.keywords Particle Tracking Velocimetry algorithm en


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