Published April 1994 | Version v1
Journal article

Fluctuations of the charge on a dust grain in a plasma

  • 1. Univ. of Iowa, Iowa City, IA (United States). Dept. of Physics

Description

A dust grain in a plasma acquires an electric charge by collecting electron and ion currents. These currents consist of discrete charges, causing the charge to fluctuate around an equilibrium value (Q). Electrons and ions are collected at random intervals and in a random sequence, with probabilities that depend on the grain's potential. The authors developed a model for these probabilities and implemented it in a numerical simulation of the collection of individual ions and electrons, yielding a time series Q(t) for the grain's charge. Electron emission from the grain is not included, although it could be added easily to the method. They obtained the power spectrum and the rms fluctuation level, as well as the distribution function of the charge. Most of the power in the spectrum lies at frequencies much lower than 1/τ, the inverse charging time. The rms fractional fluctuation level varies as 0.5 |left-angle N right-angle |-1/2, where left-angle N right-angle = left-angle Q right-angle/e is the average number of electron charges on the grain. This inverse square-root scaling means that fluctuations are most important for small grains. They also show that very small grains can experience fluctuations to neutral and positive polarities, even in the absence of electron emission

Additional details

Publishing Information

Journal Title
IEEE Transactions on Plasma Science
Journal Volume
22
Journal Issue
2
Journal Page Range
p. 151-158.
ISSN
0093-3813
CODEN
ITPSBD

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
25066396
Subject category
S58: GEOSCIENCES;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
CHARGE COLLECTION; COMPUTERIZED SIMULATION; COSMIC DUST; EARTH MAGNETOSPHERE; ELECTRIC CHARGES; PLASMA; THEORETICAL DATA; TIME-SERIES ANALYSIS
Descriptors DEC
DATA; DUSTS; EARTH ATMOSPHERE; INFORMATION; MATHEMATICS; NUMERICAL DATA; SIMULATION; STATISTICS