- •Preface
- •Contents
- •1 Nonideal plasma. Basic concepts
- •1.1 Interparticle interactions. Criteria of nonideality
- •1.1.1 Interparticle interactions
- •1.1.2 Coulomb interaction. Nonideality parameter
- •1.1.4 Compound particles in plasma
- •1.2.2 Metal plasma
- •1.2.3 Plasma of hydrogen and inert gases
- •1.2.4 Plasma with multiply charged ions
- •1.2.5 Dusty plasmas
- •1.2.6 Nonneutral plasmas
- •References
- •2.1 Plasma heating in furnaces
- •2.1.1 Measurement of electrical conductivity and thermoelectromotive force
- •2.1.2 Optical absorption measurements.
- •2.1.3 Density measurements.
- •2.1.4 Sound velocity measurements
- •2.2 Isobaric Joule heating
- •2.2.1 Isobaric heating in a capillary
- •2.2.2 Exploding wire method
- •2.3 High–pressure electric discharges
- •References
- •3.1 The principles of dynamic generation and diagnostics of plasma
- •3.2 Dynamic compression of the cesium plasma
- •3.3 Compression of inert gases by powerful shock waves
- •3.4 Isentropic expansion of shock–compressed metals
- •3.5 Generation of superdense plasma in shock waves
- •References
- •4 Ionization equilibrium and thermodynamic properties of weakly ionized plasmas
- •4.1 Partly ionized plasma
- •4.2 Anomalous properties of a metal plasma
- •4.2.1 Physical properties of metal plasma
- •4.2.2 Lowering of the ionization potential
- •4.2.3 Charged clusters
- •4.2.4 Thermodynamics of multiparticle clusters
- •4.3 Lowering of ionization potential and cluster ions in weakly nonideal plasmas
- •4.3.1 Interaction between charged particles and neutrals
- •4.3.2 Molecular and cluster ions
- •4.3.3 Ionization equilibrium in alkali metal plasma
- •4.4 Droplet model of nonideal plasma of metal vapors. Anomalously high electrical conductivity
- •4.4.1 Droplet model of nonideal plasma
- •4.4.2 Ionization equilibrium
- •4.4.3 Calculation of the plasma composition
- •4.5 Metallization of plasma
- •4.5.3 Phase transition in metals
- •References
- •5.1.1 Monte Carlo method
- •5.1.2 Results of calculation
- •5.1.4 Wigner crystallization
- •5.1.5 Integral equations
- •5.1.6 Polarization of compensating background
- •5.1.7 Charge density waves
- •5.1.8 Sum rules
- •5.1.9 Asymptotic expressions
- •5.1.10 OCP ion mixture
- •5.2 Multicomponent plasma. Results of the perturbation theory
- •5.3 Pseudopotential models. Monte Carlo calculations
- •5.3.1 Choice of pseudopotential
- •5.5 Quasiclassical approximation
- •5.6 Density functional method
- •5.7 Quantum Monte Carlo method
- •5.8 Comparison with experiments
- •5.9 On phase transitions in nonideal plasmas
- •References
- •6.1 Electrical conductivity of ideal partially ionized plasma
- •6.1.1 Electrical conductivity of weakly ionized plasma
- •6.2 Electrical conductivity of weakly nonideal plasma
- •6.3 Electrical conductivity of nonideal weakly ionized plasma
- •6.3.1 The density of electron states
- •6.3.2 Electron mobility and electrical conductivity
- •References
- •7 Electrical conductivity of fully ionized plasma
- •7.1 Kinetic equations and the results of asymptotic theories
- •7.2 Electrical conductivity measurement results
- •References
- •8 The optical properties of dense plasma
- •8.1 Optical properties
- •8.2 Basic radiation processes in rarefied atomic plasma
- •8.5 The principle of spectroscopic stability
- •8.6 Continuous spectra of strongly nonideal plasma
- •References
- •9 Metallization of nonideal plasmas
- •9.1 Multiple shock wave compression of condensed dielectrics
- •9.1.1 Planar geometry
- •9.1.2 Cylindrical geometry
- •9.3 Metallization of dielectrics
- •9.3.1 Hydrogen
- •9.3.2 Inert gases
- •9.3.3 Oxygen
- •9.3.4 Sulfur
- •9.3.5 Fullerene
- •9.3.6 Water
- •9.3.7 Dielectrization of metals
- •9.4 Ionization by pressure
- •References
- •10 Nonneutral plasmas
- •10.1.1 Electrons on a surface of liquid He
- •10.1.2 Penning trap
- •10.1.3 Linear Paul trap
- •10.1.4 Storage ring
- •10.2 Strong coupling and Wigner crystallization
- •10.3 Melting of mesoscopic crystals
- •10.4 Coulomb clusters
- •References
- •11 Dusty plasmas
- •11.1 Introduction
- •11.2 Elementary processes in dusty plasmas
- •11.2.1 Charging of dust particles in plasmas (theory)
- •11.2.2 Electrostatic potential around a dust particle
- •11.2.3 Main forces acting on dust particles in plasmas
- •11.2.4 Interaction between dust particles in plasmas
- •11.2.5 Experimental determination of the interaction potential
- •11.2.6 Formation and growth of dust particles
- •11.3 Strongly coupled dusty plasmas and phase transitions
- •11.3.1 Theoretical approaches
- •11.3.2 Experimental investigation of phase transitions in dusty plasmas
- •11.3.3 Dust clusters in plasmas
- •11.4 Oscillations, waves, and instabilities in dusty plasmas
- •11.4.1 Oscillations of individual particles in a sheath region of gas discharges
- •11.4.2 Linear waves and instabilities in weakly coupled dusty plasmas
- •11.4.3 Waves in strongly coupled dusty plasmas
- •11.4.4 Experimental investigation of wave phenomena in dusty plasmas
- •11.5 New directions in experimental research
- •11.5.1 Investigations of dusty plasmas under microgravity conditions
- •11.5.2 External perturbations
- •11.5.3 Dusty plasma of strongly asymmetric particles
- •11.5.4 Dusty plasma at cryogenic temperatures
- •11.5.5 Possible applications of dusty plasmas
- •11.6 Conclusions
- •References
- •Index
262 ELECTRICAL CONDUCTIVITY OF PARTIALLY IONIZED PLASMA
of a term proportional to the next degree of density. On introducing the pair correlation function of atoms g(r) and making transformations in (6.18), the mean square ofthe scattering amplitude per atom may be represented as
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where S(k) is the structure factor of the medium.
The expression for the collision frequency has the form
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where q(v, θ) is the di erential cross–section of electron–atom scattering. Figure 2.22 shows the structure factor of rubidium. One can see that it is a nonmonotonic function of k and thermodynamic parameters of the medium. Therefore, the effect of correlations on mobility may vary considerably. Depending on the conditions, the mobility may decrease or increase, as compared with the mobility calculated in an ideal–gas approximation.
Podlubnyi et al. (1988) treated the coe cient of electrical conductivity of a multicomponent plasma. The electron scattering probability was averaged over the multicomponent system of scattering centers. The resultant collision fre-
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number the sorts of particles, na and nb denote the concentration, and fa and fb are the scattering amplitudes.
In the Debye–H¨uckel approximation, the ion–ion structure factor is given by expression (5.6). Formula (6.20) may be used to calculate the coe cient of electrical conductivity in a plasma, in which ions with di erent charge numbers are present.
6.3Electrical conductivity of nonideal weakly ionized plasma
6.3.1The density of electron states
In Chapter 4 we have treated the conditions in dense vapors of metals, when ions occur in clusters. This a ects considerably the ionization equilibrium. As to the electrons, they remain free, that is, they are conduction electrons. However, a di erent situation is possible. If the density is high, and the energy of electron attachment to atom is su ciently high, the fluctuations of the medium density
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Fig. 6.6. Qualitative dependencies of ρ(E) and ρ0(E).
may cause deep potential wells. An electron is captured in such wells and making a transition to the negative-energy region stabilizes this fluctuation of density. An electron cluster emerges and, because it is characterized by low mobility, the electron is said to be localized.
The e ect of self–trapping of electrons is characteristic of dense disordered systems; see, for example, Lifshitz (1965); Ziman (1979); Shklovskii and Efros (1984); Hernandez (1991). It is also possible that the electrons are localized in dense vapors of mercury (Khrapak and Iakubov 1981). The distribution of electrons in positive and negative energies is defined by the density of electron states in a dense medium. The main question, which arises, is as follows: the electrons of what energy have su cient mobility to be regarded as conduction electrons? The theory may hardly provide an answer to this question. It permits the development of only rather crude models. The density of electron states ρ(E) defines the electron concentration in the given energy range
ne(E) = ρ(E) exp [(µe − E)/kT ] , |
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where µe is the chemical potential of the electronic gas. In an ideal gas,
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It is well known that in a dense medium due to atom density fluctuations ρ(E) may qualitatively di er from ρ0(E). First, the continuous spectrum boundary shifts through the value of mean field. In addition, there emerges a “tail” of the density of states ρ(E), extending to the region of forbidden states with negative energy, Fig. 6.6. The states of the remote tail ρ(E) correspond to electrons trapped in heavy clusters. At the same time the electrons with relatively low absolute values of negative energy may have a considerable mobility.
264 ELECTRICAL CONDUCTIVITY OF PARTIALLY IONIZED PLASMA
At present, one cannot regard all of the emerging problems as solved even on the qualitative level. The quantum e ects are especially di cult to describe. Much simpler is the classical electron behavior in a dense medium.
The density of states of a classical electron placed in a potential field U (r) generated by scatterers whose number is equal to N is defined by the expression
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N
E(r, p) = p2/2m + U (r); U (r) = V (r − Ri).
i=1
Here, r and p denote the electron coordinate and momentum, Ω is the system volume, and the averaging is performed over all possible scatterer configurations. For an arbitrary function Y (R1, R2, . . . , RN ) its mean value is given by
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Ω−N dR1dR2 . . . dRN , (6.24) |
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where Va(Ri − Rk) is the energy of interaction between the ith and kth atoms. In a rarefied gas, the potential energy of an electron in the atomic field U (r) can be ignored. Then, it follows from Eq. (6.23) that ρ(E) = ρ0(E). In a dense gas, the calculation of ρ(E) is related to the concrete form of the potential V (r). The simple result can be obtained by including only the most probable fluctuations of the field U described by the Gaussian approximation. Performing
an integration over momenta in Eq. (6.23) we get
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The averaging over all atomic configurations in Eq. (6.24) can be replaced by averaging over a random field distribution P (U ). Then,
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Let nV be the magnitude of the mean field U and nW0 its dispersion n V 2(r)dr, where n = N/Ω is the density of scatterers. For high negative energies (E − nV )2 nW0 we then have
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Fig. 6.7. Electron state density ρ(ε) as a function of relative electron energy ε for correlated (solid curves) and uncorrelated (dashed curves) scatterers (Lagar’kov and Sarychev 1975). Numbers correspond to di erent atomic densities: 1.33 · 1022 cm−3 (1); 8.3 · 1021 cm−3 (2); 4.8 · 1021 cm−3 (3); 2.4 · 1021 cm−3 (4); 1.05 · 1021 cm−3 (5).
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Given high positive energies, ρ(E) assumes the regular root dependence but with an energy shift, ρ(E) = ρ0(E −nV ). Such dependence of ρ(E) is proper for strongly nonideal disordered systems.
It should be mentioned that Eq. (6.27) cannot correctly describe the ρ(E) tail if the depth of the electron–atom interaction potential is comparable with or exceeds the temperature. In such cases, the ρ(E) tail is formed by rare but large fluctuations of density which may be strongly a ected by interatomic interactions. Interatomic repulsion restricts the ρ(E) tail from the side of high negative energies while attraction extends this tail.
The density of states of a classical electron in a field of scatterers was studied by Lagar’kov and Sarychev (1975, 1978) using molecular dynamics simulations. A potential with attractive polarization asymptote, a depth g and rigid core of radius δ was selected as the interaction potential V (r). In order to simulate a dense vapor of mercury, the parameter g was selected equal to 0.18 eV (the negative Hg ion does not exist and, therefore, the potential V (r) cannot be very deep). The quantity δ = 3.3a0 is the radius of a mercury atom arises from the kinetic theory of gases.
Figure 6.7 illustrates the results of calculations by Lagar’kov and Sarychev (1975) of ρ(E) as a function of the relative electron energy ε = E/g for di erent atomic densities. The ρ(E) dependence was constructed both allowing for the