Plasma scaling

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Range of plasmas. Density increases upwards, temperature increases towards the right. The free electrons in a metal may be considered an electron plasma[1]

The parameters of plasmas, including their spatial and temporal extent, vary by many orders of magnitude. Nevertheless, there are significant similarities in the behaviors of apparently disparate plasmas. Understanding the scaling of plasma behavior is of more than theoretical value. It allows the results of laboratory experiments to be applied to larger natural or artificial plasmas of interest. The situation is similar to testing aircraft or studying natural turbulent flow in wind tunnels with smaller-scale models.

Similarity transformations (also called similarity laws) help us work out how plasma properties change in order to retain the same characteristics. A necessary first step is to express the laws governing the system in a nondimensional form. The choice of nondimensional parameters is never unique, and it is usually only possible to achieve by choosing to ignore certain aspects of the system.

One dimensionless parameter characterizing a plasma is the ratio of ion to electron mass. Since this number is large, at least 1836, it is commonly taken to be infinite in theoretical analyses, that is, either the electrons are assumed to be massless or the ions are assumed to be infinitely massive. In numerical studies the opposite problem often appears. The computation time would be intractably large if a realistic mass ratio were used, so an artificially small but still rather large value, for example 100, is substituted. To analyze some phenomena, such as lower hybrid oscillations, it is essential to use the proper value.

A commonly used similarity transformation[edit]

One commonly used similarity transformation was derived for gas discharges by James Dillon Cobine (1941),[2] Alfred Hans von Engel and Max Steenbeck (1934),[3] and further applied by Hannes Alfvén and Carl-Gunne Fälthammar to plasmas.[4] They can be summarised as follows:

Similarity transformations applied to gaseous discharges and some plasmas
Property Scale factor
length, time, inductance, capacitance x1
particle energy, velocity, potential, current, resistance x0=1
electric and magnetic fields, conductivity, neutral gas density, ionization fraction x−1
current density, electron and ion densities x−2

This scaling applies best to plasmas with a relatively low degree of ionization. In such plasmas, the ionization energy of the neutral atoms is an important parameter and establishes an absolute energy scale, which explains many of the scalings in the table:

  • Since the masses of electrons and ions cannot be varied, the velocities of the particles are also fixed, as is the speed of sound.
  • If velocities are constant, then time scales must be directly proportional to distance scales.
  • In order that charged particles falling through an electric potential gain the same energy, the potentials must be invariant, implying that the electric field scales inversely with the distance.
  • Assuming that the magnitude of the E-cross-B drift is important and should be invariant, the magnetic field must scale like the electric field, namely inversely with the size. This is also the scaling required by Faraday's law of induction and Ampère's law.
  • Assuming that the speed of the Alfvén wave is important and must remain invariant, the ion density (and with it the electron density) must scale with B2, that is, inversely with the square of the size. Considering that the temperature is fixed, this also ensures that the ratio of thermal to magnetic energy, known as beta, remains constant. Furthermore, in regions where quasineutrality is violated, this scaling is required by Gauss's law.
  • Ampère's law also requires that current density scales inversely with the square of the size, and therefore that current itself is invariant.
  • The electrical conductivity is current density divided by electric field and thus scales inversely with the length.
  • In a partially ionized plasma, the electrical conductivity is proportional to the electron density and inversely proportional to the neutral gas density, implying that the neutral density must scale inversely with the length, and ionization fraction scales inversely with the length.

Limitations[edit]

While these similarity transformations capture some basic properties of plasmas, not all plasma phenomena scale in this way. Consider, for example, the degree of ionization, which is dimensionless and thus would ideally remain unchanged when the system is scaled. The number of charged particles per unit volume is proportional to the current density, which scales as x -2, whereas the number of neutral particles per unit volume scales as x -1 in this transformation, so the degree of ionization does not remain unchanged but scales as x -1.

Astrophysical application[edit]

As an example, take an auroral sheet with a thickness of 1 km. A laboratory simulation might have a thickness of 10 cm, a factor of 104 smaller. To satisfy the condition of this similarity transformation, the gaseous density would have to be increased by a factor of 104 from 104 m−3 to 108 m−3 (1010 cm−3 to 1014 cm−3), and the magnetic field would have to be increased by the same factor from 50 microteslas to 500 milliteslas (0.5 gauss to 5 kilogauss). These values are large but within the range of technology. If the experiment captures the essential features of the aurora, the processes will be 104 times faster so that a pulse that takes 100 s in nature would take only 10 ms in the laboratory.

Similarity transformations applied to some astrophysical plasmas. Actual plasma properties compared to a laboratory plasma if the scale length is reduced to 10 cm.
Region Characteristic dimension (cm) Density (particles/cm3) Magnetic field (gauss) Characteristic time
Actual Scaled Scale Factor Actual Scaled Actual Scaled Actual Scaled Description
Ionosphere 106 - 107 10 10−5 - 10−6 1010 1015 - 1016 0.5 5x104 - 5x105 100 s 0.1 - 1 ms Period of giant pulsation
Exosphere 109 10 10−8 105 - 10 1013 - 109 0.5 - 5x10−4 5x107 - 5x104 105 s 1 ms One day
Interplanetary space 1013 10 10−12 1 - 10 1012 - 1013 10−4 108 2x106 s 2 μs One solar rotation
Interstellar medium 3x1022 10 3x10−22 1 3x1021 10−6 - 10−5 3x1015 - 3x1016 1016 s 3 μs Period of galactic rotation
Intergalactic space >3x1027 10 <3x10−27 10−4? >3x1022 10−7? >3x1019 4x1017 s 10−9 s Age of the universe
Solar chromosphere 108 10 10−7 1011 - 1014 1018 - 1021 103 - 1 1010 - 107 103 s 100 μs Life of solar flare
105 s 10 ms Life of solar prominence
Solar corona 1010 - 1011 10 10−9 - 10−10 108 - 106 1017 - 1016 102 - 10−1 1011 - 109 103 s 10−1 to 1 µs Life of coronal arc
22 years 70 to 700 ms Solar cycle

Particle density of the Earth's atmosphere at sea level is 1019 per cm3. Small bar magnet = 100 milliteslas. Big electromagnet = 2 teslas. 109 cm = 10,000 km

The table shows the properties of some actual space plasma (see the columns labelled Actual). It also shows how other plasma properties would need to be changed, if (a) the characteristic length of a plasma were reduced to just 10 cm, and (b) the characteristics of the plasma were to remain unchanged.

The first thing to notice is that many cosmic phenomena cannot be reproduced in the laboratory because the necessary magnetic field strength is beyond the technological limits. Of the phenomena listed, only the ionosphere and the exosphere can be scaled to laboratory size. Another problem is the ionization fraction. When the size is varied over many orders of magnitude, the assumption of a partially ionized plasma may be violated in the simulation. A final observation is that the plasma densities needed in the laboratory are sizeable, up to 1016 cm−3 for the ionosphere, compared to the atmospheric density of about 1019 particles per cm3. In other words, the laboratory analogy of a low density space plasma is not a "vacuum chamber", but laboratory plasma with a pressure, when the higher temperature is taken into consideration, which can approach atmospheric pressure.

Dimensionless parameters in tokamaks[citation needed][edit]

One of the central questions in fusion power research is to predict the energy confinement time in machines that are larger than any that have ever been built. A widely accepted approach to doing this is to express the scaling in terms of nondimensional parameters. Geometrical parameters, such as the ratio of the major to the minor radius, the shape of the plasma cross section, and the angle of the magnetic field, can be chosen in current experiments to equal the value desired for a full-scale reactor. The remaining (dimensional) parameters can be taken to be the particle density n, the temperature T, the magnetic field B, and the size (major radius) R. These can be combined into the three dimensionless parameters β (the ratio of plasma pressure to magnetic pressure), ν* (the product of the collision frequency and the thermal transit time), and ρ* (the ratio of the Larmor radius to the torus radius). These have the following scalings:

β ~ nTB -2
ν* ~ nT -2R
ρ* ~ T 1/2B -1R -1

The radius R can be varied while keeping these three parameters constant if n, T, and B are scaled in this way:

n ~ R -2
T ~ R -1/2
B ~ R -5/4

Note that this similarity transformation is distinct from that considered above, which would yield n ~ R -1, T ~ R 0, and B ~ R -1. This is because the physical effects to be studied are different.

The scaling of the magnetic field with the minus 5/4 power of the size implies that a 1:3 scale model of a power-producing tokamak with a magnetic field of 10 T at the coils would require a field of about 40 T, which is technologically infeasible.

The next best alternative is to allow ρ* to vary and to extrapolate according to the dependence found. ρ* is the parameter considered least likely to harbor surprises, partly for theoretical considerations, but also simply because it is, in contrast to β and ν*, already much larger than unity. This can be done in a single machine (constant R) by varying the magnetic field and scaling density and temperature as:

n ~ B 4/3
T ~ B 2/3

It should be kept in mind that the assumption has been made that the important turbulent transport processes depend only on the parameters chosen. It is only physical reasoning, not mathematical necessity, that concludes that the ratio of the torus radius to the Larmor radius is important, and not, for example, the ratio to the Debye length. In the same way, it has been assumed that the absolute energy levels of atomic physics do not dictate an absolute temperature dependence, or equivalently, that the boundary layer where atomic physics is important, is small enough not to determine the overall energy confinement.

See also[edit]

References[edit]

  1. ^ After Peratt, A. L., "Advances in Numerical Modeling of Astrophysical and Space Plasmas" (1966) Astrophysics and Space Science, v. 242, Issue 1/2, p. 93-163.
  2. ^ Cobine, J. D ., 1941: Gaseous Conductors, McGraw-Hill . New York
  3. ^ von Engel, A., and Steenbeck, M., 1934: ElektrischeGasentladungen, Springer-Verlag, Berlin. See also von Engel, 1955: Ionized Gases, Clarendon Press, Oxford.
  4. ^ H. Alfvén and C.-G. Falthammar, Cosmic electrodynamics (2nd Edition, Clarendon press, Oxford, 1963) See 4.2.2. Similarity Transformations