Rahul Banka
Ion Wake Characteristics as a Function of Experimental Conditions- draft
observed to continue to increase, suggesting that MCIs continue to act after the crystal has
melted unless suppressed by damping[17].
While the additional heating can cause a crystallized monolayer to melt, it makes it more
difficult for particles in an initial fluid state to form crystalline structures. Previous experiments
have shown that for microparticle monolayers levitating in the sheath of a radio-frequency
discharge at a fixed discharge power there are two threshold pressures [18,19]: an upper
threshold, , above which the monolayer always has a crystalline structure, and a lower
threshold, , below which the monolayer always undergoes mode-coupling instability (MCI)
causing the monolayer to melt. Between these two pressures, the monolayer can be in either a
crystalline or fluid state. If the monolayer is initially in a fluid state, it will remain as a fluid in
the pressure range between and until the pressure is increased to , at which
point it will crystallize. Similarly, if the monolater is initially in a crystalline state, it will remain
a crystal until the pressure is decreased to , at which point it will become a fluid.
In a simplified model, the ion wakes can be thought of as fixed, positive point charges
charge at a distance downstream of each dust particle. This model adequately represents the
system if grains remain far enough apart that the wake charge and location relative to the dust
grain are constant [15]. In previous studies, [16, 20–29], the point charge model has been used to
study MCIs; however, the impact of changing discharge parameters, such as rf power and neutral
gas pressure, on the ion wake parameters remains largely unknown.
The molecular dynamics simulation Dynamic Response of Ions And Dust (DRIAD)
[15,30–32] are used to determine dust charge and ion wake characteristics for the different
experimental conditions described in Couëdel and Nosenko article [33], hereafter referred to as
Paper I. Plasma parameters that are unknown or not easily measured such as the sheath electric
field, electron temperature, ion and electron number density, and ion flow speed, are determined
through an iterative approach that optimizes the balance between the resultant electrostatic and
gravitational forces on a dust grain for a given ion flow speed, allowing the wake characteristics
to be obtained as a function of system power and pressure. Discharge parameters for stable
levitating dust grains have been experimentally determined many times in the past, yet the
relationship between these parameters and the characteristics of the ion wake is unknown. As
such, DRIAD is utilized to model the characteristics of the ion wake for different discharge
parameters.
This paper is organized as follows. Section 2 describes the experiment from which the
input plasma parameters are derived. Section 3 describes the numerical model, DRIAD, and the
process by which the additional plasma parameters are obtained. The results of the simulated
discharge conditions are presented in Section 4 along with the calculated wake characteristics
such as the total wake charge and the distance between the dust grain and the ion wake’s center
of charge. Section 5 is a discussion of the results and conclusions.
2) Experimental Background
This section summarizes the results from Paper I [33].
Experiments were performed in a modified GEC cell. The experimental setup is depicted
in figure 1. These experiments were performed using argon gas between 0.5 and 2 Pa, and rf