Digital Imaging and Analysis of Dusty Plasmas
arXiv: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.
6 pages, Presented at COSPAR '03
References in corpus (1)
Cited by in corpus (6)
- Crystallization dynamics of a single layer complex plasma
- Slow plastic creep of 2D dusty plasma solids
- Dust as probe for horizontal field distribution in low pressure gas discharges
- Dusty Plasma Correlation Function Experiment
- Relationship between the DC Bias and Debye Length in a Complex Plasma
- Tracking shocked dust: state estimation for a complex plasma during a shock wave