fundamentals of plasma simulation (i)

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1 Fundamentals of Plasma Simulation (I) 核核核核核核 核核核核 核核核核核核 核核核核核核/ 核核核核 核核核 () / 核核核核D1 2007.4.9 — 2007.7.13 re two (2007.4.) one: Basic concepts & theories of plasma phy c descriptions of plasma Basic plasma equations Single particle orbits Plasma kinetic description Fluid equations Fluid/kinetic hybrid model Gyrofluid model MHD & reduced MHD Classification of equations (Poisson; wave; diffusion) Reference books: F.F. Chen, Introduction of plasma p hysics S Ichimaru, Basic principles of plasma physics

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Fundamentals of Plasma Simulation (I). 核融合基礎学(プラズマ・核融合基礎学) 李継全( 准 教授) / 岸本泰明(教授) / 今寺賢志( D1 ) 2007.4.9 — 2007.7.13. Lecture two (2007.4 .) Part one: Basic concepts & theories of plasma physics ➣ Basic descriptions of plasma Basic plasma equations Single particle orbits - PowerPoint PPT Presentation

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Page 1: Fundamentals of Plasma Simulation (I)

1

Fundamentals of Plasma Simulation (I)

• 核融合基礎学(プラズマ・核融合基礎学)• 李継全(准教授) /岸本泰明(教授) /今寺賢志(D1)• 2007.4.9 — 2007.7.13

Lecture two (2007.4.)Part one: Basic concepts & theories of plasma physics➣ Basic descriptions of plasma Basic plasma equations Single particle orbits Plasma kinetic description Fluid equations Fluid/kinetic hybrid model Gyrofluid model MHD & reduced MHD Classification of equations (Poisson; wave; diffusion)

Reference books: F.F. Chen, Introduction of plasma physics S Ichimaru, Basic principles of plasma physics ……

Page 2: Fundamentals of Plasma Simulation (I)

2

How to describe a plasma?

Since a plasma may behave collectively or like an assembly of individual particles, so we have following three approaches to describe it

1. Single Particle Approach. (Incomplete in itself). Equations of particle motion → orbits of particles.

2. Kinetic Theory. Boltzmann Equation → statistical description → transport

coefficients

3. Fluid Model (MHD & reduced MHD). Moments of kinetic equation → macroscopic description (Density;

Velocity, Pressure (temperature), Currents, etc.)

All descriptions should be consistent. Sometimes they are only different ways to approximately look at the same thing.

Further, some approximate models have been developed such as: fluid-kinetic hybrid model; gyrofluid model.

Page 3: Fundamentals of Plasma Simulation (I)

3

Basic equations of plasma physicsElectric and magnetic fields (E & B) are generally determined by Maxwell’s equations, with corresponding boundary conditions and the sources (charges and currents).

t

E

cJ

cB

t

B

cE

B

E

14

10

4

Gauss’s law

No magnetic poles

Faraday law

Ampere’s law

),(),(),( trAtc

trtrE

),(),( trAtrB

In this case, electromagnetic field equations are written in the form

),(41 2

2

2

trtc

),(41 2

2

2

trJc

At

A

c

With Lorentz gauge 01

Atc

Sometimes E & B are expressed in terms of an electric potential φ and vector potential A:

Page 4: Fundamentals of Plasma Simulation (I)

4

The forces include two contributions from external electromagnetic field and also internal field, which is produced by other particles. The latter should be evaluated self-consistently.

Hence, the electromagnetic forces in a plasma depends on the current and charge densities which are determined by the collective particle interaction.

The motion of charged particles is determined by the electromagnetic fields through the equations of motion – Lorentz equation

)1

( Bc

Em

q

m

F

dt

di

i

i

i

ii

ii

dt

xd

Basic equations of plasma physics (cont.)

Equation of motion

Page 5: Fundamentals of Plasma Simulation (I)

5

Kinetic equations

To describe a plasma with a large number of particles, one can solve the coupled system of Maxwell’s equations and the equations of motion for each particle. This is a terrible job! However, there are more efficient methods to solve the plasma dynamics using statistical approximation – kinetic equation.

Consider the single particle distribution function f(t, r, v) which gives the density ofparticles in the six-dimensional space (r,v), The single particle distribution function satisfies the Boltzmann equation

ct

ffB

cE

m

qf

t

f

)1

(

s

ss dtrfqtr 3),,(),(

s

ss dtrfqtrJ 3),,(),(

The charge and current densities can be evaluated as

To describe a plasma, it needs only to solve Maxwell equations and kinetic equation!

Page 6: Fundamentals of Plasma Simulation (I)

6

Single Particle Approach

Page 7: Fundamentals of Plasma Simulation (I)

7

Single Particle Approach – orbits & drifts of particle in electromagnetic fields.

Although a plasma behaves collectively and the dynamics should be described by statistical approach, a lot of plasma phenomena can be helpfully understood in terms of single-particle motion. The motion of charged particles in assumed electric and magnetic field can provide insight into many important physical properties of plasmas.

Equation of motion + Maxwell equations

)],(1

),([ rtBc

rtEm

q

m

F

dt

di

i

i

i

ii

ii

dt

xd

t

rtE

cJ

crtB

t

rtB

crtE

),(14),(

),(1),(

→ Particle orbits in various given electromagnetic fields

Page 8: Fundamentals of Plasma Simulation (I)

8

Gyro motion & Larmor radius

qB

mcvv

gL

L

mc

qBg gyrogrequency gyroradius

Guiding center

tzz

tyy

txx

gg

gg

//0

0

0

)sin(

)cos(

From equation of motion, we can easily know that particle moves along the magnetic field with υ //0 and gyrates around the filed. Here the second magnetic field produced by moving charged particle is ignored!

Initial velocity of charged particle in magnetic field ),( 0//00

Charged particle is only experienced Lorentz force B

m

q

Orbit of charged particle is

Gyration is the most basic motion of charged particle in a magnetized plasma!

Page 9: Fundamentals of Plasma Simulation (I)

9

Electric field drifts (E×B drift)

The “E × B drift” of the gyrocenter is

2B

BEcd

Bmc

q

m

qE

dt

d

qEdt

dm

//

//

If E is non-uniform, it may cause a modification of Larmor radius effect

EEErEL

L

2

2

2)()(

2

22

41

B

BEcLd

Equation of motion is

Homework: Problem 3Derive the orbit of positive charged particle q with initial velocity [ ] in a constant uniform electric field (0,E┴,E//) and magnetic field (0,0,B), express the velocity of particle gyrocenter.

),( 0//00

Page 10: Fundamentals of Plasma Simulation (I)

10

Drifts due to general force F

Bmc

q

m

F

dt

d

Lorentz equation is

E×B drift can be generalized by substituting qE with a general constant force term F. The resulting particle drift generated by this constant force is

2

)(

qB

BFcF

This general force can be gravity, force due to non-uniform magnetic field (gradient or curvature)

Page 11: Fundamentals of Plasma Simulation (I)

11

Magnetic field gradient drifts

00 BBB c

Expanding the magnetic field at the location of the guiding center

Bvc

qxBv

c

q

dt

vdm cc

)0()1()1(

)(

qqB

mvv c

2

2)0(

2qB

BBV B

Equation of motion becomes

)()0()0(

cxBvc

q

dt

vdm

Magnetic gradient produces a force on the guiding center of charged particle due to the magnetic moment, i.e.,

BBB

mF

2

2

BBqB

mc

3

2

2

Gradient drift

Averaging on gyro-motion

Page 12: Fundamentals of Plasma Simulation (I)

12

Magnetic field curvature drifts

A particle which moves along a curved magnetic field line experiences a centrifugal force on its guiding center. This force is (often convenient to have this expressed in terms of the field gradients.)

BBB

mR

RmF

c

cc

)(

12

2//2

2//

When the B field lines are curved and the particle has a velocity v// along the field, another drift occurs.

])[(4

2// BBB

qB

mcc

Curvature drift velocity

In the frame of the guiding center a force appears because the plasma is rotating about the center of curvature.

Gradient and curvature drifts are related through Maxwell’s equations, which depends on the current density j. A particular case of interest is j = 0: vacuum fields. c

r R

BB )(

2222

// 2

1

c

ccB RqB

BRcmm

Page 13: Fundamentals of Plasma Simulation (I)

13

Drifts in varying electric field – polarization drift

If electric field E is time-varying, the particle experiences a acceleration,

2B

BEc

dt

d

dt

dd

In the frame of the guiding centre which is accelerating, a force is felt except for the force due to uniform electric filed.

2B

BE

dt

dmcFp

An additional drift is produced as

dt

Ed

qB

mcB

B

BE

dt

d

qB

mcp

222Polarization drift

Physical meaning of polarization drift: If electric field is constant, particle experiences E×B drift with a constant Larmor radius, when direction of E is changing with time, the radius of gyro-orbit suddenly changes and produce a polarization drift velocity.

Page 14: Fundamentals of Plasma Simulation (I)

14

These drifts have been determined by assumed electric and magnetic fields. They describe test particle motion. However, it should be noticed that the currents due to the drifts alter the fields. If these changes are small compared to the background field it is justified to apply the drift model. The derived particle drifts do not contain any collective behavior. For this reason it is a nontrivial aspect to compare particle and fluid plasma drifts.

Hence, single particle approach has ignored the interaction among charged particles, it is only suitable for enough low density plasma.

If drifts depend on the charge, a current can be produced as j=en(vi-ve). So polarization drift; magnetic field gradient and curvature drifts cause a current.

Remarks for single particle driftsAll these drift velocities and the particle orbit above can be derived directly by solving the motion of particle with an initial velocity (υ┴0, υ //0) in assumed time-varying non-uniform electric E(t, x) and magnetic fields B(t, x), i.e.,

)],(1

),([ xtBc

xtEm

q

dt

di

i

ii

),( with 0//00

ii

dt

xd

Gyromotion; electric field drift with Larmor radius modification; magnetic field gradient and curvature drifts; polarization drift; magnetic mirror.

Page 15: Fundamentals of Plasma Simulation (I)

15

Plasma Kinetic Description

Page 16: Fundamentals of Plasma Simulation (I)

16

Plasma Kinetic Theory – why need kinetic description

Many particle: For a plasma, the plasma parameter is g=1/(nλ 3d)<<1. Thus a plasma co

nsists of a very large number of particles. It is too tough work to calculate the orbits of all particles even if for assumed electric and magnetic fields.

Long-range force: The charged particles of a plasma are both responding to the electromagnetic fields and acting as their sources. This means charged particle moving under the influence of both the external fields and the fields generated by the particles themselves. Namely, the plasma behaves collectively. It is almost impossible to calculate the motion of all particles in a plasma self-consistently.

Fields as an average: Actually, the orbits of all particles are not so important in a plasma, the spatial and temporal development of statistical measurable quantities as a fluid, i.e., particle density, particle flux, temperature or pressure, heat flux, and so on, are more interesting. Because the collective behavior of the charged particles is a fundamental property of plasmas, we do not always need to know anything about the individual particles but, instead, we are interested in the average properties of the gas or fluid.

The description of these quantities is a matter of statistical physics, which is appropriately started using a kinetic description of plasma.

Page 17: Fundamentals of Plasma Simulation (I)

17

Kinetic description of plasma – Boltzmann equation

“kinetic” means it is relating to motion of particles. So a kinetic description includes the effects of motion of charged particles in a plasma.

An exact, microscopic kinetic description is based on and encompasses the motions of all the individual charged particles in the plasma. Our interest is in the average rather than individual particle properties in plasmas, so, an appropriate average process can be taken to obtain a general plasma kinetic equation—Boltzmann equation

Two ways to derive Boltzmann equation for a plasma

Klimontovich equation approach: It deals with the exact density of particles in the six-dimensional phase space (r; v) by using δ-functions.

Liouville equation approach: This approach starts with distribution functions and avoids δ-functions and ensemble averaging. (we will not talk about this approach in this lecture)

Page 18: Fundamentals of Plasma Simulation (I)

18

Klimontovich equation approach

Consider a single particle with orbit (xi(t);vi(t) ) in 6-dimensional phase space. The “density” of this particle is, i.e., the distribution function of single particle, )]([)]([),,( ttxxxtN ii

For particles in a plasma, the microscopic distribution function is the summation

N

iii

m ttxxxtN1

)]([)]([),,(

6-dimensional phase spaceSix-dimensional phase space with coordinates axes (x,y,z) and (vx,vy,vz) and volume element ∆x∆v

x

v

∆x

∆v

volume element in phase space∆x ∆v

(x(t);v(t))All particles (i=1, N) have time-dependentposition xi(t) and velocity vi(t). The particle path at subsequent times is a curve in phase space.

Here xi(t) and vi(t) are the spatial and velocity trajectories as the particles move.

Klimontovich

Page 19: Fundamentals of Plasma Simulation (I)

19

Basic equations for particle simulationHere xi(t) and vi(t) are determined by the equations of motion and Maxwell equations,

)1

( Bc

Em

q

m

F

dt

di

i

i

i

ii

ii

dt

xd

t

E

cJ

cB

t

B

cE

B

E

m

m

14

1

0

4

s

iss

mss

m xxqdtxNqtx )(),,(),( 3

The microscopic sources are determined by

s

iiss

mss

m xxqdtxNqtxJ )(),,(),( 3

These equations above establish a complete kinetic description of a plasma, which involves all information of particle motion with the self-generated fields. This description for a plasma provide a basic idea to numerically simulate the behavior of plasma – particle simulationPIC (particle-in-cell) method: Dawson; Birdsall & Langdon; ….This simulation needs a large number of particles ~10e+9 to have good statistics of collective behavior, for example, to remove “noise” problem.

N

iii

m ttxxxtN1

)]([)]([),,( with

Page 20: Fundamentals of Plasma Simulation (I)

20

Klimontovich equation

The description above yields too much detailed information than we need for practical purposes. We need to reduce it so that we can obtain some physically measurable quantities like density, temperature in a plasma.To do so, it may be convenient to have a single evolution equation for the entire microscopic distribution. Such an equation can be obtained by calculating the total time derivative of microscopic distribution:

)]([)]([1

ttxxdt

d

xdt

xd

tdt

dNi

N

ii

m

By using relations: )()()()( yxygyxxg dx

df

df

dg

dx

xfdg

))((

0)]([)]([1

ttxxdt

d

xdt

xd

tdt

dNi

N

ii

iim

Inserting equation of motion, we have

0),(1

),(

m

mmmm N

xtBc

xtEm

q

x

N

dt

xd

t

N

Klimontovich equation

Page 21: Fundamentals of Plasma Simulation (I)

21

Properties of the Klimontovich equation

Klimontovich equation together with the Maxwell’s equation and the definitions for charge and current densities also provide an exact and complete description of the plasma dynamics!

Klimontovich equation actually incorporates all particle equations of motion into one equation since its “characteristic curves” in (t,x,v) phase space are the equations of motion.

Conservation of particles (continuity):

0),,(),,(),,(),,(

xtN

dt

dxtN

dt

xd

t

xtN

dt

xtdN mmx

mm

No creation or destruction of charged particles as they move their trajectories determined by electric and magnetic fields in a plasma!

Page 22: Fundamentals of Plasma Simulation (I)

22

Since the Klimontovich distribution is a distribution of delta functions, it still requires basically to follow all individual particles. This is not feasible in typical application even on modern supercomputers.

We need an average procedure to get a smooth version of microscopic distribution.– Rigorous way: ensemble averaging over infinite number of realizations (i.e., all possible states). This is related to the statistic mechanics with the concepts like “temperature”. – Simple and more physical way: averaging over a small volume x v∆ ∆ in 6-dimensional phase space.

Conditions for average procedure:  •The box size should be much larger than the mean space of inter-particles in a plasma to include many particles so that the statistical fluctuation is small•The box size should be smaller than, or of order of the Deybe length so that the collective plasma response on the Debye length scale can be included.

  Hence, n-1/3<< x<∆ λD

From Klimontovich equation to Plasma kinetic equation

Page 23: Fundamentals of Plasma Simulation (I)

23

The average distribution function of Nm will be defined as the number of particles in such a small 6-dimensional phase space box divided by the volume of the box from (x,v) to (x+∆x, v+∆v)

Averaging procedure

VV

m

VV

xn

s

xn

ms

dxd

Ndxd

x

nxtNxtf

DD

33

33

33 limlim3/13/1

),,(),,(

Define the fluctuation (deviation from the averaged level) of complete microscopic distribution function Nm from the averaged one fs, i.e.,

),,(),,(),,(

xtNxtfxtN ms

m

Similar separation for the fields

),,(),,(),,(

xtExtExtEm ),,(),,(),,(

xtBxtBxtBm

We have 0),,( xtN m

The average distribution function fs represents the smoothed properties of the plasma species for ∆x >λD; the microscopic distribution δNm represents the “discrete particle” effects of individual charged particles for n-1/3

<< x<∆ λD .

0),,( xtE 0),,(

xtB

∆x ∆vDis

trib

uti

on

fu

ncti

on

fs

Nm

Page 24: Fundamentals of Plasma Simulation (I)

24

Substituting these forms into the Klimontovich equation and averaging it using the procedure above, we obtain our fundamental plasma kinetic equation:

m

mmsmmss NB

cE

m

qfB

cE

m

q

x

f

t

f 11

Fundamental plasma kinetic equation

The left side describes collective effects in the plasma, i.e., the evolution of the smoothed, average distribution function in response to the smoothed, average electric and magnetic fields.

The right side represents the small two-particle correlations between discrete charged particles within about a Debye length of each other. In fact, the term on the right represents the collisional effects, i.e., Coulomb collision effects on the average distribution function fs. Similarly averaging the microscopic Maxwell equations and charge and current density sources, we obtain corresponding average equations that have no extra correlation terms.

Page 25: Fundamentals of Plasma Simulation (I)

25

Fokker-Planck equation or Boltzmann equationRewriting the right side of the fundamental kinetic equation as (∂fs/∂t)c, a collision operator on the average distribution function fs. We can have Fokker-Planck (FP) or Boltzmann equation

c

ssss

t

ffB

cE

m

q

x

f

t

f

)

1(

t

B

cEE

1 ;4

sss dtxfqtx 3),,(),(

s

ss dtxfqtxJ 3),,(),(

With corresponding averaged Maxwell equations and charge and current densities,

This is a set of fundamental equations that provide a complete kinetic description of a plasma. All terms in equation are expressed by smoothed, average quantities. The particle discreteness effects (correlations of particles due to their Coulomb interactions within a Debye sphere) in a plasma are included in the collsion operator on the right side of Boltzmann equation.

The form of the collision term on the right side depends on the nature of collisions:– Boltzmann equation: for hard collisions and localized in space and time. – FP equation: for collision through cumulative contribution of many small angle Coulomb scatterings.

t

E

cJ

cBB

14 ;0

Page 26: Fundamentals of Plasma Simulation (I)

26

Reduced forms of Boltzmann equation

Electrostatic kinetic equation:For low pressure plasmas where the plasma currents are negligible and the magnetic field is external and constant in time, we can use an electrostatic approximation for the electric field (E =- ), Boltzmann equation becomes electrostatic kinetic equation

c

ssss

t

ffB

cm

q

x

f

t

f

)

1(

Conservative form of Boltzmann equation: Since x and v are independent, and electric and magnetic are independent of v, we can have a conservative form because (in the absence of collisions) motion (of particles or along the characteristics) is incompressible in the six-dimensional phase space

c

sss

s

t

ffB

cE

m

qf

xt

f

)1

(

Homework: problem 4Derive this conservation form of Boltzmann equation.

Page 27: Fundamentals of Plasma Simulation (I)

27

Reduced forms of Boltzmann equation – Vlasov equation

For the fluctuation with short time scale in high temperature laboratory plasmas or space plasmas, the collision is typically small, i.e., ω>>ν , we have so-called Vlasov equation

0)1

(

sss f

Bc

Em

q

x

f

t

f

Properties of Vlasov equation

1. Due to no collision, the filamentary structures in Vlasov plasma can become more contorted as time evolution. Hence, Vlasov code can follow the distribution function in physics for long time only before the numerical problem occurs.

2. Due to no collision, Vlasov equation has no discrete particle correlation (Coulomb collision) effects in it, it is completely reversible (in time) and its solutions follow the collisionless single particle orbits in the six-dimensional phase space.

3. A Vlasov plasma is stable since the stable distribution with dfs/dε<0 minimizes the kinetic energy.

4. Any free energy related to dfs/dε<0 may drive collective instability, profile non-homogeneity; velocity anisotropies; flows such as beams and currents.

Page 28: Fundamentals of Plasma Simulation (I)

28

Reduced forms of Boltzmann equation (cont.) – gyro-averaged kinetic equations

In a magnetized plasma, many plasma phenomena involve processes which are slow compared to the gyrofrequency and which vary slowly in space compared to the Larmor radius of individual ions or electrons. That is, the fluctuations in plasma are characterized by longer spatial scale compared to the gyroradii (L>>ρ g) and by slow processes compared to the gyrofrequency (ω<<ω c).

Under these limitations, it is possible to do two approximations: 1. Average the Boltzmann equation over the gyromotion angle; 2. Expand the Boltzmann equation around the guiding center with a small gyroradius. Procedure to derive gyro-averaged kinetic equations1. Change the independent phase space variables from (x; v) to phase space variables

with guiding center coordinates, energy, magnetic moment, and gyro-phase angle, i.e., (xg ;ε; μ , φ)

2. Splitting the distribution function fs into gyro-phase independent part <fs>φ and dependent part fs-<fs>φ

3. Get gyro-averaged kinetic equations by gyro-averaging Boltzmann equation – So, the dimensionality in phase space is reduced!

Page 29: Fundamentals of Plasma Simulation (I)

29

Drift-kinetic equation: This is a form of Fokker-Planck (Boltzmann or Vlasov) equation, which describes the evolution of distribution function fs under conditions where it occurs slowly in time compared to the gyro-period and the gradually in space compared to the gyro-radius of particle orbits. Actually, this is an equation of fs at the guiding center position xg. In principle, we should transform the results back from guiding center to real space coordinates after solving it. However, this procedure is usually neglected since the gyroradius is small and the effect is ignorable. The conditions for applying this model are: ω<<ω c ; k┴ ρ g<<1

Gyro-kinetic equation: This equation is similar to drift-kinetic equation, but it can describe the significant change of electromagnetic field across a Larmor radius by averaging their effect over the Larmor orbit. The conditions for applying this model are: ω<<ω c ; k┴ ρ g~1

Two typical gyro-averaged kinetic equations:

J Wesson, TOKAMAK (second edition), 1997

Page 30: Fundamentals of Plasma Simulation (I)

30

Derivation of drift kinetic equation

Change variables from to with ),,;( gx

);(

x

B

mmxx gg 2

);(2

1 ;

22//

2

Re-write kinetic equation by using new variables

c

ssss

g

sgs

t

ff

dt

df

dt

df

dt

d

x

f

dt

xd

t

f

Define with

where is small quantity with Larmor radius order

sssss fffff~~

sf~

Assuming c

sccg

g Em

q

tk

L

~ ;~ ;~ ;~ //

cct

BEs Em

q

~ ;~~

0~

sf

Page 31: Fundamentals of Plasma Simulation (I)

31

Derivation of drift kinetic equation (cont.)

Substitute all relations into rewritten kinetic equation in guiding center coordinate and performing gyro-averaging, we can get

c

gsgs

g

gsD

gs

t

xtfxtf

dt

d

x

xtf

t

xtf ),,,(),,,(),,,()(

),,,(//

The change of total kinetic energy can be subject to the gain of energy of the guiding center in the electric field and the change of the perpendicular energy due to a change of the magnetic field

gs xdEq

BdBd /

t

B

B

m

dt

xdEq

dt

d gs

2

2

velocitydrift center guiding

])([2 4

2//

3

2

2////

BBBBq

mcBB

Bq

mc

B

BEc

B

B

B

B

dt

xd

ssD

g

onconservatimoment magnetic to due 0 dt

d

This equation is used in linear and nonlinear studies of low frequency and long wavelength instabilities, in neoclassical transport theory where the contribution from Larmor gyration is not so important.

Page 32: Fundamentals of Plasma Simulation (I)

32

Gyrokinetic equation Drift-kinetic equation with the lowest order is sufficient for most applications. However, like the guiding center orbits it is based on, it is incorrect at second orderin the small gyroradius expansion. More precise and complete equation is gyrokinetic equation.In deriving gyrokinetic equation, we can still do gyro-averaging over gyro-phase angle. Instead of the assumption in drift kinetic equation, we have another small quantity where L is the equilibrium perpendicular gradient scale length. The distribution function is expended as

1 gk 1 Lg

10 sss fff

Writing the perturbed quantity as and the perturbed electric field is the perturbed distribution function can be obtained by expanding the linearized kinetic equation for isotropic f0,

)exp(~ xkti

AiE

iLss exg

fqf ),,(0

1

c

kbL

g satisfies the gyrokinetic equation

//1////0

00//

2)(ˆ B

kJ

kAq

kJ

kfbfgkigb

t

g

c

cs

ccg

In long wavelength limit and L→0, the distribution function is reduced to the result from drift kinetic equation.

J Wesson, TOKAMAK (second edition), 1997

Page 33: Fundamentals of Plasma Simulation (I)

33

References for the derivation of nonlinear gyrokinetic equation (classical and modern gyrokinetic theories, collected by T S Hahm)

1. Hazeltine and Meiss, Plasma confinement (book)

2. Frieman and Chen, Phys. Fluids 25, 502 (1982)

3. Lee, Phys. Fluids 26, 556 (1983)

4. Dubin, Krommes, Oberman, and Lee, Phys. Fluids 26, 3524

(1983)

5. Hagan and Frieman, Phys. Fluids 28, 2641 (1985)

6. Hahm, Lee, and Brizard, Phys. Fluids 31, 1940 (1988)

7. Hahm, Phys. Fluids 31, 2670 (1988)

8. Brizard, J. Plasma Phys. 41, 541 (1989)

9. Brizard, Phys. Plasmas 2, 459 (1995)

10.Hahm, Phys. Plasmas 3, 4658 (1996)

11.Brizard, Phys. Plasmas 7, 4816 (2000)

12.Sugama, Phys. Plasmas 7, 466 (2000)

13.Brizard, Phys. Plasmas 7, 3238 (2000)

14.Wang, Phys. Rev. E. 64, 056404 (2001)

15.Qin and Tang, Phys. Plasmas 11, 1052 (2004)

16.Brizard and Hahm, Foundations of nonlinear gyrokinetic

theory, Rev. Mod. Phys. 79, 1-468(2007)

Page 34: Fundamentals of Plasma Simulation (I)

34

Fluid description of plasma

Page 35: Fundamentals of Plasma Simulation (I)

35

Fluid description of plasma

Why fluid description:The single particle approach is rather complicated. We need a more statistical approach because we can’t follow each particle separately. If the evolution of distribution function in velocity space is important we have to use the Boltzmann equation. It is a kind of particle conservation equation.For many plasma applications, fluid moment (density, flow velocity, temperature) descriptions of a charged particle species in a plasma are sufficient.Advantages of fluid description:Fluid equations essentially involve 3 dimensions in geometric space. This advantage is especially important in computer simulations.Fluid description is explicit to understand the significance of fluid quantities such as density and temperature. Fluid variables are macroscopically measurable quantities in experiments. Microscopic approach is mathematically difficult and often not useful to follow the evolution of macroscopic variablesOmit some important physical processes (but describe others); Provide tractable approaches to many problems.

‘Fluid Description’ refers to simplified treatment of plasma which does not need the details of velocity dependence.

Page 36: Fundamentals of Plasma Simulation (I)

36

Fluid equations for a plasmaFluid equations are probably the most widely used equations for the description of inhomogeneous plasmas.

Two ways to derive fluid equations: 1. Derive the moment equations of the Boltzmann equation or Vlasov equation;2. Derive them by using properties like the conservation of mass, momentum, and energy of the fluid.

Definition of fluid moments

Define the 0th; 1st; 2nd moment of the integral over the distribution function fs as mass density ρ s; fluid bulk velocity vs; and pressure tensor π s

),,(),( 3

xtfdmxt sss

),,(

1),( 3

xtfd

nxtu s

ss

),,())((),(),(),( 3

���xtfuudmxtIxtpxtP sssss

All integrals are finite because the distribution function must fall off sufficiently rapidly with speed so that these low order, physical moments (such as the energy in the species) are finite. That is, we cannot have large numbers of particles at arbitrarily high energy because the energy in the species would be unrealistically large or divergent.

),,(

2),(

23

xtfdmxtq sss

Page 37: Fundamentals of Plasma Simulation (I)

37

Basic procedure to derive moment equations

Starting from Boltzmann (or Vlasov) equation and taking its nth moment (1; msv; msv2/2; …) by integrating over velocity space

c

snsssn

t

fd

fB

cE

m

q

x

f

t

fd

33 )1

(

Macroscopic quantities from fluid momentNumber density

Charge density

Momentum density

Current density

Scalar pressure

sss mxtn ),(

sssc nqxt ),(,

sss uxtP

),(

sss uqxtj

),(

)(),( ss PTrxtp�

Heat flux ),( xtqs

Temperature sss nTrxtT )(),( �

Calculating all integrations:

Page 38: Fundamentals of Plasma Simulation (I)

38

0th moment equation— continuity equation

c

ssss

t

fd

fB

cE

m

q

x

f

t

fd

33 )

1(

Considering the integration of distribution function over whole velocity space is the density, we integrate Boltzmann equation over velocity space (0th moment)

t

nfd

tt

fd s

ss

33

ssssss nufdffdfdx

fd

3333 )(

0,,,,

233

zyxi

si

i

zyxisiss

s fF

fFdfFfFdf

Fd i

i

force. Lorentzfor 0 function; ondistributifor 0 used have we Here,

i

is

Ff

i

Performing the integrations as follows

Page 39: Fundamentals of Plasma Simulation (I)

39

0th moment equation— continuity equation (cont.)

The right side becomes a source term Qn of particle number density due to collision, such as the production or annihilation of mass through ionization or recombination.

nss Qnut

n

Continuity equations for charge or mass densities can be obtained by multiplying number density equation by qs or ms, respectively.

with

utdt

dQun

dt

dnns

s By using full derivative, we have

For incompressible fluid, 0 u

Page 40: Fundamentals of Plasma Simulation (I)

40

1st moment equation— equation of motion

c

ss

ssss t

fmd

fB

cE

m

q

x

f

t

fmd

33 )1

(

sss

s untt

fmd

3

Performing the integrations by parts and using the properties of distribution function

)(

)())((

])][()[(

3

3

33

uunmP

uunmfuumd

fuuuumd

fmdfmd

ss

ssss

ss

ssss

0)( and

; ofindendent are and 0)1

(

BBB

BEBc

E

By using this relation

Page 41: Fundamentals of Plasma Simulation (I)

41

1st moment equation— equation of motion (cont.)

RBuc

EqnuunmPunt

m sssssss

)1

()(�

ss

ssi

kj ss

siskj

ss

sss

s

ss

ss

ss

s

s

ss

nBuc

Eq

nBuc

EqfBc

Em

qmdd

fBc

Em

qmdfB

cE

m

qmd

fBc

Em

qmd

fB

cE

m

qmd

zyx

)1

(

)1

()1

(

)1

()1

(

)1

()1

(

,,,

33

33

So, the momentum equation is yielded as

sc

ss R

t

fmd

3

By using continuity equation, we can get equation of motion

RBuc

EqnPuut

nmudt

dnm sssssssss

)1

(�

If the collisions are frequent enough, the pressure tensor becomes diagonal, or even isotropic, sopP

Page 42: Fundamentals of Plasma Simulation (I)

42

2nd moment equation— energy equation

c

ssssss

t

fmd

fB

cE

m

q

x

f

t

fmd

2)

1(

2

23

23

2

23

23

32

3

2

3

)()(2

)()(2

)()(22

umnp

fuuudt

m

fuuudt

m

fuuuudt

m

t

fmd

sss

ss

ss

ssss

ssssssss qPuuKmnQ�

2

2

1

2222

2

3

22

1ssss

ss umnpuw

mmK

))(()(2

1uuumnq sss

sAfdA 3Letting

The first term is

Page 43: Fundamentals of Plasma Simulation (I)

43

ssss

sss

sss

ss

ss

ssss

qPuuumnpx

qPufudm

xfwuwuwfu

xd

m

uwfuwx

dm

fuux

dm

fx

dm

x

fmd

2

2323

23

23232

3

2

3

2)()((

2

)(2

)(222

The second term is

uEnq

B

Bc

EfqdfBc

Eqd

fBc

Em

qmd

fB

cE

m

qmd

ss

ssss

ss

sss

s

ss

0)( parts by nintegratio to due zero

)1

(2

1)

1(

2

1

)1

(2

)1

(2

2

2323

23

23

2nd moment equation— energy equation (cont.)

The third term is

Page 44: Fundamentals of Plasma Simulation (I)

44

2nd moment equation— energy equation (cont.)

csssssssxsss QuEnqqPuuumnpumnpt

22

2

3

2

3

Finally we can get the energy equation

Qcs indicates the energy exchange through collision. From this equation, you can derive a temperature equation through p=nT by using the equations of continuity and motion.

Using continuity equation and momentum equation to remove the term ,

3

5 with )()(

1

1

csxsxs QquPupt

p �

tumn ss )( 2

Page 45: Fundamentals of Plasma Simulation (I)

45

Chain of moment equations

This equation chain must be truncated at somewhere and by some way. It is often made in the second order in many practical cases, either by neglecting the heat flux, or by using an equation of state instead of the energy equation. Here physical insight plays a crucial role. The treatment seems become a kind of art!

This procedure shows that low order moment equation includes higher moment, which is an infinite chain of hierarchy!

3rd moment equation— heat flux equation4th moment equation……To infinite

Similar way to derive high order equations

Page 46: Fundamentals of Plasma Simulation (I)

46

Closure momentsThe general procedure to close a hierarchy of fluid moment equations is to derive the needed closure moments, which are sometimes called constitutive relations, from integrals of the kinetic distribution function for higher order moments. The distribution function must be solved from a kinetic equation that takes account of the evolution of the lower order fluid moments. The resultant kinetic equation and procedure for determining the distribution function and closure moments are known as the Chapman-Enskog approach. For situations where collisional effects are dominant, the resultant kinetic equation can be solved asymptotically via an ordering scheme and the closure moments. This approach has been developed in detail for a collisional, magnetized plasma by Braginskii.

Chapman and Cowling, The Mathematical Theory of Non-Uniform Gases (1952).S.I. Braginskii, Transport Processes in a Plasma, in Reviews of Plasma Physics, M.A. Leontovich, Ed. (Consultants Bureau, New York, 1965), Vol. 1, p. 205.

For 3-moment fluid equations, in a Coulomb-collision-dominated plasma, the heat flux induced by a temperature gradient is usually determined by the microscopic collisional diffusion processTnq

In magnetized plasmas, the heat diffusion coefficients along perpendicular and parallel directions are very different, so it is separated as

//////// with and TnqTnq

Page 47: Fundamentals of Plasma Simulation (I)

47

Summary of moment equations

csssssssxsss QuEnqqPuuumnpumnpt

22

2

3

2

3Energy equation

cssssssssss RBuc

EqnPuut

nmudt

dnm

)1

(�Equation of motion

nss Qnut

n

Continuity equation

To the third moment, we have an unknown quantity, heat flux, which is the fourth order moment.

),,(

2),(

23

xtfdmxtq sss

In deriving these equations, we have ignored the details of treating with collision, which is important in plasma as a fluid. Fluid theory is valid when the phenomena of interest vary on a hydrodynamics scale length much larger than the fluid element: LH >> dr. i.e., slow variation of plasma phenomena.

In the limits of high density and lower temperature, the collision is high, the fluid theory is valid. But, a plasma is often described as a fluid even when it is far from being collision dominated !!! This condition means that the effects of collisions is negligible compared with the coherence produced by the self-consistent fields.

→ closure approximation

Page 48: Fundamentals of Plasma Simulation (I)

48

Why kinetic? Why fluid?

Plasma fluid theory is relatively simple and fluid quantities are measurable experimentally. Plasma fluid theory can describe most of basic plasma phenomena. For example, drift waves; cold plasma waves; MHD fluctuations; …... The advantage of fluid theory lies in the fact that the dynamics of neutral fluid has been extensively studied and many aspects of their behaviors are well understood. Although the motion of plasma fluid is much more complex than that in the neutral fluid, it is often useful to be able to draw analogies with the behavior of a plasma. From the viewpoint of calculation (simulation), fluid codes require relatively less CPU time compared to kinetic simulation (PIC or Vlasov codes). Kinetic description is essentially necessary for some plasma phenomena typically such as Landau damping process. For example, dispersion relation of two-stream instability,

For the first principal simulation, kinetic (or reduced kinetic) theory should be employed.

)()( with

01

22110

00

0

2

ununf

f

k

if

k

dP

km

e

kxxx

x

sx

Page 49: Fundamentals of Plasma Simulation (I)

49

Fluid/kinetic hybrid model – a mixed description

Plasma phenomena are characterized by a multiple space and time scales, primarily due to the different responses of electrons and ions to electric and magnetic fields.

Generally speaking, the fast varying and small scale physics phenomena require kinetic descriptions, slow varying and large scale processes can be described by more fluid models.

Some particularly interested processes occur on some of these scales but other processes occur usually. This can be described by a mixed kinetic/fluid model.

Hybrid model describes this plasma system by using kinetic model for one species (or part of one species) and by using fluid model for the rest.

The hybrid codes are defined as those numerical algorithms in which PIC particle or Vlasov codes are applied for the species treated by kinetic description and fluid code is for the species treated as a fluid.

D Winske, Space Science Review 42, 53-65 (1985); Computer space plasma physics (book) (1993)

Page 50: Fundamentals of Plasma Simulation (I)

50

Examples of fluid/kinetic hybrid model

Various types of hybrid codes depend on the problems. Some examples:

1. The interaction of a small, cold electron beam (kinetic) with a hot background electron population (fluid) because the unstable waves generated by the presence of the beam strongly affect it. (O'Neil et al., 1971)

2. Fast ions or electrons (kinetic) and background plasmas in magnetic fusion plasmas with various heatings or energetic Alpha particles.

3. Foreshock: it is characterized by particles (kinetic) that are leaked or reflected from the shock which stream back into the solar wind.

4. ……

Page 51: Fundamentals of Plasma Simulation (I)

51

Example for equations of hybrid model

t

B

cEE

1 ;4

3),,(),( dtxfqtx iii

3),,(),(),( dtxfqtxuqtxJ iiiii

t

E

cJ

cBB

14 ;0

As an example in the case with kinetic ions and fluid electrons, we have equations

Maxwell equations for electric and magnetic fields

eeii nqnq

eeiiei uquqJJJ

Kinetic ion equations

c

ssii

t

ffB

cE

m

q

x

f

t

f

)

1(

Fluid electron equations

ceeeeeeeeee RBuc

EqnPuut

nmudt

dnm

)1

(�

nee Qnut

n

This fluid equation chains should be truncated properly.

Particle PIC code or Vlasov code for simulation

Fluid code

Page 52: Fundamentals of Plasma Simulation (I)

52

Gyrofluid model – an approximately mixed description

One obtains a hierarchy of evolution equations for gyrocenter-fluid moments, i.e., for density, parallel velocity, pressure, etc. To obtain a closed set of these gyrofluid equations, one needs to invoke a closure approximation i.e., expressions for higher-order fluid moments in terms of lower-order fluid moments.

In the simulation community, the so-called Landau-closure approach that places emphasis on accurate linear Landau damping and the linear growth rate has been most widely adopted. In this approach, some kinetic effects such as linear Landau damping and a limited form of nonlinear Landau damping have been successfully incorporated in gyrofluid models.

To date, gyrofluid model still loses to involve properly some important physics processes. For example, it cannot describe the zonal-flow damping accurately and may overestimate the turbulence level in fusion plasmas.

Gyrofluid model is one kind of fluid model which includes some kinetic effects such as more accurate Larmor radius effects and Landau damping effects. This model uses a cleaver closure of the fluid moments of the gyro-kinetic equations that gave an excellent approximation to the kinetic effect of both Landau damping and finite Larmor radius. The case with ignoring Larmor radius effect is called as Landau fluid model.

Page 53: Fundamentals of Plasma Simulation (I)

53

Example for deriving a set of gyrofluid equationsHammett & Perkins, PRL 1990

Basic steps to get a Landau-fluid equation:1. Deriving a set of fluid moment equations from 1D Vlasov equation

0

sz

fE

m

q

z

f

t

f

z

q

z

uSpup

zt

p

))(1()(

z

SqnE

z

pumnu

zmnu

t

)()(

0

unt

n

2. Calculating linear response for electrostatic fluctuation from Vlasov equation

k

fdk

T

qR

T

qnfdn t

02

000

~)(

~~~

),,(~

)(0 ztfff zE

)exp(~ tiikz For fluctuation with form

High order quantity: Heat flux q; Two introduced undetermined quantities: dissipative momentum flux S; adjustable ratio of specific heats Г

Here

Page 54: Fundamentals of Plasma Simulation (I)

54

Example for deriving a set of gyrofluid equations (cont.)

Hammett & Perkins, PRL 1990

3. Expressing undetermined quantities q and S by lower moments

z

Tnq

z

umnS

4. Calculating the linear response R3 from the fluid equations with free constants χ ,μ ,Г );;,(33 RR5. Comparing the linear response functions from kinetic and fluid equations through asymptotic analysis, choosing the free parameters with the most approximate results. In some case, the higher moment equations are required for more accurate results.

Normalized response functions from exact kinetic model (solid); 3-moment (dashed) and 4-moment Landau fluid models.

The calculation to get a satisfactory gyrofluid model (finite Larmor radius effects and Landau damping) is much more complicated, sometimes up to 6- or 8-moment equations.

Page 55: Fundamentals of Plasma Simulation (I)

55

Simplified two-fluid equationsWe have derived fluid moment equations for each species. In the case without ionization and energy exchange collisions, it can be written down a set of simplified two-fluid equations for ions and electrons.

ciixiiiixi QquPupt

p

)()(1

1

niiii Qunt

n

iiiiiiiiiiii RBuc

EnquunmPunmt

)1

()()(�

ceexeeeexe QquPupt

p

)()(1

1

neeee Qunt

n

eeeeeeeeeeee RBuc

EnquunmPunmt

)1

()()(�

With friction term )( eieeeie uunmR

0 ie RR

eeiceci RuuQQ

)( 35

In some cases, it is also assumed that the pressure is scalar. The heat conduction term is neglected. The separate two (ions and electrons) fluids interact through collisions and through electromagnetic interaction.

Page 56: Fundamentals of Plasma Simulation (I)

56

Two-fluid equilibrium – diamagnetic drift and diamagnetic current

0 t 0 eizBB

At equilibrium, we have and collisionless limit

In slab geometry with straight B-field , assuming equilibrium fields and profile vary only in x, the momentum equation is. 0)()( BuEnquunmp ssssssss

From the equation in y direction, we have is a solution, we can have the equilibrium equation

0sxu

dx

dpBu

cEnqu

dx

dunm syxsssxsxss )

1(

sxss

sysxss Buc

nqu

dx

dunm 0

1

dx

dpBu

cEnq syxss

dx

dp

BnqB

Eu

ss

xsy

1

22 Bnq

pBc

B

BEcu

ssD

Fluid drifts: Second term is diamagnetic drift

Diamagnetic current:

222

)()()(

B

ppBc

B

ppBcnqnq

B

BEcunqunqj eiei

eeiieeeiii

Quasi-neutrality diamagnetic current

Page 57: Fundamentals of Plasma Simulation (I)

57

Single fluid model

Two fluid equations contain still considerable complexity which is not needed for many plasma systems. It is desirable to formulate a more appropriate set of equations which include most of the macroscopic properties of a plasma. This set of equations are so-called magnetohydrodynamics (MHD) equations. This model consists of a one-fluid model for the plasma and the Maxwell equations for the electromagnetic fields. In a charge neutral plasma, qi=-qe=e, define the following quantities for single fluid model

Mass density:

Mass flux velocity:

Total current density:

Total pressure: ei

ieeeeeeiii

meeeiii

eeiim

ppp

uunqunqunqj

umnumnu

mnmn

)(

/)(

It can be seen that

uqn

j

m

muu

eei

ei

eee qn

juu

Page 58: Fundamentals of Plasma Simulation (I)

58

Single fluid model – mass density equation

Multiply the electron and ion density equations by their respective masses and combine together to get a single fluid mass density (continuity) equation

Similarly, multiply the density equations by their respective charges and combine to yield the single fluid charge continuity equation.

0)(

ut mm

00 neutralityquasi jjt q

MHD plasmas are quasineutral and have no net charge density, we can not calculate the electric field from the Gauss' law Maxwell equation . However, since a plasma is a highly polarizable medium, the electric field E in MHD can be determined self-consistently from Ohm's law, Ampere's law and the charge continuity equation.

eeii nqnqE

Page 59: Fundamentals of Plasma Simulation (I)

59

Single fluid model – equation of single fluid motion

Adding the electron and ion momentum equations to derive a one-fluid momentum equation (equation of motion) for a plasma

Bjc

pjj

q

mmuu

t

u

me

eim

m�

1

)( 2

0)(1

)()()()(

Bunqunqc

EnqnquunmuunmPPunmunmt eeeiiieeiieeeeiiiieieeeiii

��

me

eieeii

ee

eeeii

ee

e

e

e

eei

e

e

eeeii

eeeeee

eei

e

eei

eiieeeeiiii

jj

q

mmuunmnmjj

qn

muunmnm

jjqn

mjuuj

q

mjj

qnm

mjuuj

q

muunmnm

qn

ju

qn

junm

qn

j

m

mu

qn

j

m

munmuunmuunm

22

22

2

)()(

)()()(

Using density equation and quasi-neutrality 0 j

pBjc

uutm

1

Page 60: Fundamentals of Plasma Simulation (I)

60

Single fluid model – generalized Ohm’s lawMultiplying the equation of ion or electron motion by qi/mi or qe/me and sum them, we can get generalized Ohm’s law.

Electron inertia term→0

ee

ei

i

ie

e

eei

i

ii

e

ee

i

ii

eeeeiiiiee

ei

i

ieeeiii

Rm

qR

m

qBu

cm

nqu

cm

nqE

m

nq

m

nq

uunquunqPm

qP

m

qunqunq

t

��

2222

)()(

jmq

mqBj

cp

m

qBu

cE

m

nq

nq

jjujju

t

j

ii

eeeie

e

e

e

ee

ee

1112

jjnq

mBj

cp

q

mBu

cE

nq

jjujju

t

j

q

mm

ee

eiee

me

i

eeme

ie

22

11

jBjc

pq

mBu

cE

nq

jjujju

t

j

q

mme

me

i

eeme

ie

11

2

Hall term<<1

Pressure force<<1

Generalized Ohm’s law

Page 61: Fundamentals of Plasma Simulation (I)

61

Single fluid model – generalized Ohm’s law (cont.)

In generalized Ohm’s law, the term proportional to me/mi should be small, the second order term is usually neglected. For slow temporal and large spatial scales, ignoring the electron inertia, hall effect and pressure, simplified Ohm’s law

jBuc

E

1

If the resistivity is small, we can get ideal Ohm’s law

01

Buc

E

In many space plasmas, the Hall term and the pressure term become more important, namely, the Hall MHD.

Some microscopic mechanisms, which are not due to actual inter-particle collisions, may lead to effective resistivity or viscosity at the macroscopic level. Various wave-particle interactions and microscopic instabilities tend to inhibit the current flow. The macroscopic effect of these processes looks analogous large and it is called anomalous resistivity.

Page 62: Fundamentals of Plasma Simulation (I)

62

Single fluid model – pressure equation (or state equation)

cecieixeeiieeiix QQqqupupupupt

p

)()(

1

1

Add ion and electron pressure equation, we have

2)()(1

1jqqupup

t

peixx

Like the two-fluid equations, the pressure equation depends on next order fluid moment. We can not obtain a closed set of MHD equations without some further approximations. One approximate treatment is to roughly drop out the next order term

mCp

The chain is also often cut by employing an equation of state under an adiabatic process.

2)(1

1jupup

t

px

In a 3-dimensional plasma, the specific heat ratio γ=5/3; for an isothermal process, γ=1; In the case with constant pressure, γ=0; for an isometric process, γ→∞, i.e. p→0 in a very low β plasma.

Page 63: Fundamentals of Plasma Simulation (I)

63

MHD equations

0)(

ut mm

pBjc

uutm

1

2)(1

1jupup

t

px

jBuc

E

1

Et

B

c

1

jc

B 4

These MHD equations can describes many physical processes in small gyroradius,magnetized plasmas — macroscopic plasma equilibrium and instabilities, Alfven waves, magnetic field diffusion. It is the simplest, lowest order model used in analyzing magnetized plasmas.Used approximations used in MHD equations:1. Exclude single particle effects such as gyro motion;2. Exact charge neutrality for low frequency phenomena much smaller than plasma frequency;3. The displacement current has been neglected due to the slow propagation of electromagnetic waves;4. Assuming isotropic pressure near thermal equilibrium;5. Different approximation can be taken in generalized Ohm’s law.

0 B

Page 64: Fundamentals of Plasma Simulation (I)

64

Properties of MHD equations1. Conservation laws of ideal MHD system mass; momentum and energy

0)(

ut mm

0412812

222

BEc

upucBpu

tmm

MHD energy density MHD energy flux

Kinetic energy

Internal energy

0 04

1

8

1)( 2

Tut

BBIBpuuut mmm

��

MHD stress tensorReynold stress

Isotopic pressure

Expansion and tension of magnetic field

Magnetic energy

Kinetic energy flux

Internal energy flux

electromagnetic field energy flux

0

Swt

From energy conservation, it can be seen that in an isolated system, total energy is constant while exchange between kinetic; internal and magnetic energy

constant812

223

BV pk

m WWWcBpu

xd

(Using Gauss’ theorem)

Page 65: Fundamentals of Plasma Simulation (I)

65

244 )()()()()(

2BBB

cBB

cBjababbababa

In deriving MHD momentum conservation, we used

In deriving MHD energy conservation, we used

)]([2

)()()(

)()()( ;)(2

BuBt

BBuBBBu

baabbaBEEBBuB

From momentum equation,

puBBuuuuut

u mm

)(4

1)(

puBuBt

Bcuuuu

uu

t mmm

)]([4

1

8)()(

22

222

puBuBuucBu

tmm

)]([4

1

282

222

Adding this equation with the energy equation,

puBuBuu

upuppcBu

tmm

)]([

4

1

2)(

1

1

182

222

)(42

)(1182

222

BEcuu

uppcBu

tmm

Properties of MHD equations (cont.) – Details of deriving conservation laws

Page 66: Fundamentals of Plasma Simulation (I)

66

Properties of MHD equations (cont.) 2. Ideal MHD frozen flux theorem

In an ideal MHD, since the resistivity disappears, , it can be proved that the magnetic flux Φ through every surface moving with the plasma is constant, i.e.

0 cBuE

CSSsdBSdB

tSdB

dt

d

dt

d

In ideal MHD, plasma carries the magnetic field to move, namely, it always contain the same amount of magnetic flux. We may simply understand “MHD frozen flux” as that two fluid elements are always connected by a magnetic field line if they were connected at one time by a field line, which is defined by the direction of the magnetic field at any moment in time. In other word, fluid elements flow freely along the line of magnetic force.

4. Entropy conservation The entropy is defined as , the overall entropy production rate is

)ln( mps

0

uuut

putdt

d

dt

dpp

dt

d

dt

dsm

mm

3. Magnetic diffusion When the fluid velocity is zero, from Ohm’s law we have BtB 24

The magnetic field changes by diffusing through the electrically conducting fluid, the change rate depends on the plasma characteristics. The field decays in a characteristic time with magnetic gradient length L.

4~ 2L

Page 67: Fundamentals of Plasma Simulation (I)

67

MHD equilibrium

In a plasma equilibrium, ∂/∂t ~ 0, u=0, MHD equations consist of force balance and Maxwell equations

pBjc

1 j

cB

4 0 B

Taking the scalar product of the force equilibrium equation with B and j, we have

0 pjpB

It indicates the pressure is constant on magnetic field lines and on current lines.The force equilibrium equation can be written as

048

)(4

11 2

BBB

pBBpBjc

p

08

2

B

pFor the case without field curvature

82B

p

Plasma internal energy

Magnetic energy

We can get many different equilibrium configurations in magnetic fusion:Tokamak, stellarator (helical system), Mirror; Θ-pinch, Z-pinch, …..

Page 68: Fundamentals of Plasma Simulation (I)

68

Reduced MHD equations

In space plasmas and also in magnetic fusion plasmas, MHD can be reduced further.

H R strauss, Phys. Fluids 19, 134(1976)R. Fitzpatrick, Phys. Plasmas 11, 937(2003)

Including the effects of electron viscosity, the equation of motion and Ohm’s law become

jBjc

pq

mjBu

cE e

me

i

211

uBjc

puut

umm

21

tEzuzuzBzB zzz ;ˆˆ ;ˆˆ

Define Ψ is parallel vector potential; stream function Φ, let ∂/∂z=0, and constant density, we can write

zzzmz

m uBut

u 2],[4

1],[

)]motion of equation(ˆ[ z

)motion of equation(ˆ z

zzzz

m jct

2],[1

],[

Page 69: Fundamentals of Plasma Simulation (I)

69

Reduced MHD equations (cont.) – two-field MHD

zzzz

m jct

2],[1

],[

42],[ t

When the parallel magnetic field is very strong, the perpendicular gradient is small, we get reduced two-field MHD equations

These equations are usually used to study the tearing mode and the magnetic reconnection in space plasmas and magnetic fusion plasmas.

)law sOhm'(ˆ z

42],[4

],[

zme

i Bq

m

t

)]law sOhm'([ˆ zzzz

me

izz

z Bc

Bc

jq

muB

t

B 42

22

44],[],[],[

zbabaj zz ˆ],[ ; ; 22 Here we defined

Page 70: Fundamentals of Plasma Simulation (I)

70

Classification of equations (Elliptic type—Poisson)

This is an Elliptic-type equation

02

2

2

2

yx

42

We will summarize typical equations. From Maxwell equation, in electrostatic limit we can define , so the Gauss’ law become Poisson equation

E

42

2

2

2

yxPerpendicular to magnetic

field

In plasma physics, it is often to calculate Poisson equation to solve electric field. It has been paid much attention to look for good Poisson solver in simulation.

Page 71: Fundamentals of Plasma Simulation (I)

71

Classification of equations (hyperbolic type—wave; convection)

02

2

2

2

x

u

t

u

),(),(),( trAtc

trtrE

),(),( trAtrB

In this case, Maxwell equation can written as electromagnetic field equations are written in the form

),(41 2

2

2

trtc

),(41 2

2

2

trJc

At

A

c

With Lorentz gauge 01

Atc

Sometimes E & B are expressed in terms of an electric potential φ and vector potential A:

It can be clearly seen that they are hyperbolic-type equation (for example 1D case)

Furthermore, the fluid equation system is typical hyperbolic and the equation is of convection equation

0

xu

tmm

x

p

x

uu

t

umm

The solution of such convection problem is the propagation of initial profile F(0,x).

)(),( utxFxtf

Page 72: Fundamentals of Plasma Simulation (I)

72

Classification of equations (parabolic type— diffusion)

This is of Parabolic type such as

2

2

x

T

t

T

Another common equation describes diffusion process such heat diffusion, magnetic diffusion in MHD. For the latter, when the velocity of fluid is zero, the Ohm’s law becomes

2

2

4x

B

t

B

2)(1

1jqupup

t

px

In the energy equation in fluid equations, assuming density is constant and using p=nT, further assuming heat flux , hence, we have

Tq

......2

2

x

T

x

Tu

t

T

When fluid velocity is zero, it is a diffusion (transport) problem

......2

2

x

T

t

T

When heat is isolated, it mainly describes a convection process

......

x

Tu

t

T

In general case, it describes the mixed processes of diffusion and convection.

Page 73: Fundamentals of Plasma Simulation (I)

73

Final remarks All physics system is described by equations. In magnetized plasmas, the equations are of linear second order partial difference equation in two independent variables x and y (perpendicular to magnetic field). These equations may be written as a most general form 02

22

2

2

GFuy

uE

x

uD

y

uC

yx

uB

x

uA

Here the coefficients are assumed as constant. In the simplest case with D=E=F=G =0, define characteristic curves

04 when type" hyperbolic"

04 when type" parabolic"

04 when type" elliptice"

2

2

2

ACB

ACB

ACB

Through some transformations, the second order partial difference equation can be classified as

yxyx ;

We have characteristic value condition

0 ;0 22 CBACBA

T. Tajima, computational plasma physics, Chpt. 5

Most equations in plasmas are of mixing type depending on the physics processes such as propagation; dissipation. We will introduce numerical methods to solve such equations involving time advance and spatial discretization.