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Particle position and velocity measurement in dusty plasmas using particle tracking velocimetry

Part of: Diagnostics of Dust in Plasmas

Published online by Cambridge University Press:  31 May 2016

Yan Feng ,
J. Goree ,
Zach Haralson ,
Chun-Shang Wong ,
A. Kananovich  and
Wei Li
Yan Feng*
Affiliation:
Center for Soft Condensed Matter Physics and Interdisciplinary Research, College of Physics, Optoelectronics and Energy, Soochow University, Suzhou 215006, China
J. Goree
Affiliation:
Department of Physics and Astronomy, The University of Iowa, Iowa City, IA 52242, USA
Zach Haralson
Affiliation:
Department of Physics and Astronomy, The University of Iowa, Iowa City, IA 52242, USA
Chun-Shang Wong
Affiliation:
Department of Physics and Astronomy, The University of Iowa, Iowa City, IA 52242, USA
A. Kananovich
Affiliation:
Department of Physics and Astronomy, The University of Iowa, Iowa City, IA 52242, USA
Wei Li
Affiliation:
Center for Soft Condensed Matter Physics and Interdisciplinary Research, College of Physics, Optoelectronics and Energy, Soochow University, Suzhou 215006, China
*
†Email address for correspondence: fengyan@suda.edu.cn
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Abstract

Methods of imaging and image analysis are presented for dusty plasma experiments. Micron-sized polymer spheres, electrically suspended in a partially ionized gas, are illuminated by a sheet of laser light and imaged by video cameras. Image analysis methods yield particle positions and velocities of individual particles in each video image. Methods to minimize errors in the particle positions and velocities, which are now commonly used in the dusty plasma community, are described.

Type
Research Article
Information
Journal of Plasma Physics , Volume 82 , Issue 3 , June 2016 , 615820303
Copyright
© Cambridge University Press 2016 

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