dorsal/arxiv
View SchemaDigital Imaging and Analysis of Dusty Plasmas
| Authors | C. M. Boesse, M. K. Henry, T. W. Hyde, L. S. Matthews |
|---|---|
| Categories | |
| ArXiv ID | physics/0307086 |
| URL | https://arxiv.org/abs/physics/0307086 |
| DOI | 10.1016/j.asr.2003.02.069 |
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 (PIV) and Particle Tracking Velocimetry (PTV) 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.
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"abstract": "Dust particles immersed within a plasma environment, such as those found in\nplanetary rings or cometary environments, will acquire an electric charge. If\nthe ratio of interparticle potential energy to average kinetic energy is high\nenough the particles will form either a \u0027liquid\u0027 structure with short-range\nordering or a crystalline structure with long-range ordering. Since their\ndiscovery in laboratory environments in 1994, such crystals have been the\nsubject of a variety of experimental, theoretical, and numerical\ninvestigations. Laboratory experiments analyzing the behavior of dust grains in\na plasma rely on optical diagnostics to provide data about the system in a\nnon-perturbative manner. In the past, capturing, imaging, and analyzing\ncrystalline structure in dusty plasmas has been a non-trivial problem.\nUtilizing digital imaging and analysis systems, data capture, image formatting,\nand analysis can be done quickly. Following data capture, image analysis is\nconducted using modified Particle Image Velocimetry (PIV) and Particle Tracking\nVelocimetry (PTV) algorithms. The data extracted is then used to construct\nVoronoi diagrams, calculate particle density, inter-particle spacing, pair\ncorrelation functions, and thermal energy. From this data other dust plasma\nparameters can be inferred such as inter-particle forces and grain charges.",
"arxiv_id": "physics/0307086",
"authors": [
"C. M. Boesse",
"M. K. Henry",
"T. W. Hyde",
"L. S. Matthews"
],
"categories": [
"physics.plasm-ph"
],
"doi": "10.1016/j.asr.2003.02.069",
"title": "Digital Imaging and Analysis of Dusty Plasmas",
"url": "https://arxiv.org/abs/physics/0307086"
},
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