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Nonlinear particle simulation of parametric decay instability of ion cyclotron wave in tokamak A. Kuley, 1, a) Z. Lin, 1 J. Bao, 2, 1 X. S. Wei, 3 Y. Xiao, 3 W. Zhang, 4 G. Y. Sun, 5 and N. J. Fisch 6, 7 1) Department of Physics and Astronomy, University of California Irvine, CA 92697, USA 2) Fusion Simulation Center, Peking University, Beijing 100871, China 3) Institute for Fusion Theory and Simulation, Zhejiang University, Hangzhou 310027, China 4) Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China 5) Department of Physics, Institute of Theoretical Physics and Astrophysics, Xiamen University, Xiamen 361005, China 6) Department of Astrophysical Sciences, Princeton University, Princeton, New Jersey 08540, USA 7) Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA (Dated: 19 September 2017) Nonlinear simulation model for radio frequency (RF) waves in fusion plasmas has been developed and verified using fully kinetic ion and drift kinetic electron. Ion cyclotron motion in the toroidal geometry is implemented using Boris push in the Boozer coordinates. Linear dispersion relation and nonlinear particle trapping are verified for the lower hybrid (LH) wave and ion Bernstein wave (IBW). Parametric decay instability is observed where a large amplitude pump wave decays into an IBW sideband and an ion cyclotron quasimode (ICQM). The ICQM induces an ion perpendicular heating with a heating rate proportional to the pump wave intensity. I. INTRODUCTION Magnetic fusion devices rely on the radio frequency (RF) waves for driving current and heating the plas- mas, ever since it was predicted that the power dissi- pated by high phase velocity waves could be much smaller than previously thought. 1 Now there are many methods of current drive considered in present-day tokamaks 24 and for the future burning plasma experiment ITER. 5 The linear theory of RF waves using the eigen value solvers like AORSA 6 and TORIC 7 are widely used to explain the physical phenomena in experiments. In spite of this, there are important situations when linear physics fails and nonlinear phenomena like ponderomo- tive effects, parametric decay instability (PDI) can be- come important. The presence of PDIs have observed in several fusion devices, including DIII-D, 8 Alcator C- Mod, 9 HT-7, 10 NSTX, 11 FTU, 12 ASDEX, 13 JT-60, 14 and EAST. 15 Nonlinear phenomena of the RF waves have been studied theoretically 1619 and numerically in the slab or cylinder geometries with particle codes such as GeFi, 20 Vorpal, 21,22 G-gauge. 23 Thus, given the importance of RF for steady state op- eration, instability control, and requisite central heat- ing we are developing a global nonlinear toroidal parti- cle simulation model to study the nonlinear physics as- sociated with RF heating and current drive using the gyrokinetic toroidal code (GTC). 24 GTC has been ver- ified for electrostatic RF waves, 25,26 energetic particle driven Alfven eigenmodes, 2729 microturbulence, 30,31 mi- croscopic MHD modes driven by pressure gradients and a) Electronic mail: [email protected] equilibrium currents. 32,33 The principle advantage of the initial value approach in GTC simulation is that it re- tains all the nonlinearities and other physical properties (all harmonics, finite Larmor radius effects, etc.) of the RF waves. As a first step in developing this nonlinear toroidal particle simulation model, in the present paper we have extended our fully kinetic ion simulation model from cylindrical geometry to the toroidal geometry. 25,34 Most recently GTC has verified for the linear and non- linear electromagnetic simulation of lower hybrid (LH) wave. The LH wave propagation, mode conversion, and absorption have been simulated using fluid ion and drift kinetic electron in toroidal geometry. 35,36 Further devel- opments of this electromagnetic model will enable us to analyze the nonlinear physics in the plasma edge as well as its propagation to the core region. In this paper we have implemented ion cyclotron mo- tion in magnetic coordinates and verified linear physics and nonlinear particle trapping for electrostatic LH wave, and ion Bernstein wave (IBW) using fully kinetic ion and drift kinetic electron. We also carried out the three wave coupling in the ion cylotron heating regime, in which the pump wave decays into an IBW sideband and an ion cy- clotron quasimode. When the frequency matching condi- tion is satisfied, the quasimode is strongly damped on the ion, and the ion heating takes place only in the perpen- dicular direction. This quasimode induced ion heating rate is proportional to the intensity of the pump wave. The paper is organized as follows: the physics model of fully kinetic ion and drift kinetic electron in toroidal ge- ometry is described in Sec.II. Section III gives the linear verification of the GTC simulation of the electrostatic normal modes in uniform plasmas and nonlinear wave trapping of electron. Sec. IV. describes the nonlinear ion heating due to PDI. Section V summarizes this work. arXiv:1709.05678v1 [physics.plasm-ph] 17 Sep 2017

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Page 1: USA Fusion Simulation Center, Peking University, Beijing ... · 7)Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA (Dated: 19 September 2017) Nonlinear simulation

Nonlinear particle simulation of parametric decay instability of ion cyclotronwave in tokamak

A. Kuley,1, a) Z. Lin,1 J. Bao,2, 1 X. S. Wei,3 Y. Xiao,3 W. Zhang,4 G. Y. Sun,5 and N. J. Fisch6, 71)Department of Physics and Astronomy, University of California Irvine, CA 92697,USA2)Fusion Simulation Center, Peking University, Beijing 100871, China3)Institute for Fusion Theory and Simulation, Zhejiang University, Hangzhou 310027,China4)Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China5)Department of Physics, Institute of Theoretical Physics and Astrophysics, Xiamen University, Xiamen 361005,China6)Department of Astrophysical Sciences, Princeton University, Princeton, New Jersey 08540,USA7)Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543, USA

(Dated: 19 September 2017)

Nonlinear simulation model for radio frequency (RF) waves in fusion plasmas has been developed and verifiedusing fully kinetic ion and drift kinetic electron. Ion cyclotron motion in the toroidal geometry is implementedusing Boris push in the Boozer coordinates. Linear dispersion relation and nonlinear particle trapping areverified for the lower hybrid (LH) wave and ion Bernstein wave (IBW). Parametric decay instability is observedwhere a large amplitude pump wave decays into an IBW sideband and an ion cyclotron quasimode (ICQM).The ICQM induces an ion perpendicular heating with a heating rate proportional to the pump wave intensity.

I. INTRODUCTION

Magnetic fusion devices rely on the radio frequency(RF) waves for driving current and heating the plas-mas, ever since it was predicted that the power dissi-pated by high phase velocity waves could be much smallerthan previously thought.1 Now there are many methodsof current drive considered in present-day tokamaks2–4

and for the future burning plasma experiment ITER.5

The linear theory of RF waves using the eigen valuesolvers like AORSA6 and TORIC7 are widely used toexplain the physical phenomena in experiments. Inspite of this, there are important situations when linearphysics fails and nonlinear phenomena like ponderomo-tive effects, parametric decay instability (PDI) can be-come important. The presence of PDIs have observedin several fusion devices, including DIII-D,8 Alcator C-Mod,9 HT-7,10 NSTX,11 FTU,12 ASDEX,13 JT-60,14 andEAST.15 Nonlinear phenomena of the RF waves havebeen studied theoretically16–19 and numerically in theslab or cylinder geometries with particle codes such asGeFi,20 Vorpal,21,22 G-gauge.23

Thus, given the importance of RF for steady state op-eration, instability control, and requisite central heat-ing we are developing a global nonlinear toroidal parti-cle simulation model to study the nonlinear physics as-sociated with RF heating and current drive using thegyrokinetic toroidal code (GTC).24 GTC has been ver-ified for electrostatic RF waves,25,26 energetic particledriven Alfven eigenmodes,27–29 microturbulence,30,31 mi-croscopic MHD modes driven by pressure gradients and

a)Electronic mail: [email protected]

equilibrium currents.32,33 The principle advantage of theinitial value approach in GTC simulation is that it re-tains all the nonlinearities and other physical properties(all harmonics, finite Larmor radius effects, etc.) of theRF waves. As a first step in developing this nonlineartoroidal particle simulation model, in the present paperwe have extended our fully kinetic ion simulation modelfrom cylindrical geometry to the toroidal geometry.25,34

Most recently GTC has verified for the linear and non-linear electromagnetic simulation of lower hybrid (LH)wave. The LH wave propagation, mode conversion, andabsorption have been simulated using fluid ion and driftkinetic electron in toroidal geometry.35,36 Further devel-opments of this electromagnetic model will enable us toanalyze the nonlinear physics in the plasma edge as wellas its propagation to the core region.

In this paper we have implemented ion cyclotron mo-tion in magnetic coordinates and verified linear physicsand nonlinear particle trapping for electrostatic LH wave,and ion Bernstein wave (IBW) using fully kinetic ion anddrift kinetic electron. We also carried out the three wavecoupling in the ion cylotron heating regime, in which thepump wave decays into an IBW sideband and an ion cy-clotron quasimode. When the frequency matching condi-tion is satisfied, the quasimode is strongly damped on theion, and the ion heating takes place only in the perpen-dicular direction. This quasimode induced ion heatingrate is proportional to the intensity of the pump wave.

The paper is organized as follows: the physics model offully kinetic ion and drift kinetic electron in toroidal ge-ometry is described in Sec.II. Section III gives the linearverification of the GTC simulation of the electrostaticnormal modes in uniform plasmas and nonlinear wavetrapping of electron. Sec. IV. describes the nonlinear ionheating due to PDI. Section V summarizes this work.

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II. PHYSICS MODEL IN TOROIDAL GEOMETRY

The physics model for the fully kinetic ion, drift kineticelectron dynamics and the numerical methods associatedwith the time advancement of the physical quantities (ionposition, electron guiding center, particle weight, electricfield, etc.) are described in the following sections.

A. Physics Model

Coordinate system - In GTC we use toroidal mag-netic coordinates (ψ, θ, ζ) to represent the electromag-netic fields and the plasma profile in the closed flux sur-face, where ψ is the poloidal flux function, θ and ζ arethe poloidal and toroidal angle, respectively. The con-travariant representation of the magnetic field is37

~B = g∇ζ + I∇θ, (1)

covariant representation is

~B = q∇ψ ×∇θ −∇ψ ×∇ζ, (2)

and the Jacobian of this magnetic toroidal system can bewritten as

J−1 = ∇ψ · ∇θ ×∇ζ =B2

gq + I(3)

Although GTC is capable of general toroidal geometry,38

we consider a concentric cross-section tokamak in thispaper. Then the radial coordinate ψ is simplified as theminor radius r. The toroidal coordinate system relatesto the standard Cartesian system as follows [cf. Fig.1]

x = (R0 + rcosθ)cosζ,

y = −(R0 + rcosθ)sinζ, (4)

z = rsinθ.

By defining a covariant basis ~eψ = ∂ψ~r, ~eθ = ∂θ~r,~eζ = ∂ζ~r, and contravariant basis ~eψ = ∇ψ, ~eθ = ∇θ,~eζ = ∇ζ the velocity and the electric field can be writtenas

~v = vψ~eψ + vθ~eθ + vζ~eζ , (5)

~E = −∇φ = −[∂φ

∂ψ∇ψ +

∂φ

∂θ∇θ +

∂φ

∂ζ∇ζ], (6)

where

vψ = ψ, vθ = θ, vζ = ζrcosθ/(R0 + rcosθ),

~eψ = [cosθcosζx− cosθsinζy + sinθz](∂r/∂ψ),

~eθ = −rsinθcosζx+ rsinθsinζy + rcosθz, (7)

~eζ = −(R0 + rcosθ)sinζx− (R0 + rcosθ)cosζy

ψ(r) =

∫ r

0

(r/q)dr

z

x

y

R

R0

r

⇣�  �

FIG. 1. Schematic diagram of the coordinates of a concentriccross section tokamak.

Ion dynamics - Ion dynamics is described by the sixdimensional Vlasov equation,[

∂t+ ~v · ∇+

Zimi

( ~E + ~v × ~B) · ∂∂~v

]fi = 0, (8)

where fi is the ion distribution function, Zi is the ioncharge, and mi is the ion mass.

The evolution of the ion distribution function fi canbe described by the Newtonian equation of motion in thepresence of self-consistent electromagnetic field as follows

d

dt~r = ~v,

d

dt~v =

Zimi

[~E + ~v × ~B

](9)

In our simulation we compute the marker particletrajectory [Eq.(9)] by the time centered Boris pushmethod25,39,40 as discussed in the following section.

In our GTC simulation we have implemented both per-turbative (δf) and non-perturbative (full-f) methods.We use (δfi) method to reduce the particle noise. Now wedecompose the distribution function (fi) into its equilib-rium (f0i) and perturb part (δfi) i.e., fi = f0i+δfi. Theperturbed density for ion is defined as the fluid momentof ion distribution function, δni =

∫δfid

3v. By defin-ing the particle weight wi = δfi/fi, we can rewrite theVlasov equation for Maxwellian ion with uniform tem-perature Ti and uniform density as follows

d

dtwi = −Zi

Ti(1− wi)

[∂φ

∂ψvψ +

∂φ

∂θvθ +

∂φ

∂ζvζ]

(10)

Electron dynamics - Electron dynamics is describedby the five-dimensional drift kinetic equation[

∂t+ ~X · ∇+ v‖

∂v‖

]fe( ~X, v‖, µ, t) = 0 (11)

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3

where fe is the guiding center distribution function,~X(ψ, θ, ζ) is the guiding center position, µ is the mag-netic moment, and v‖ is the parallel velocity. The evolu-tion of the electron distribution function can be describedby the following equations of guiding center motion:41

~X = v‖b+ ~vE + ~vc + ~vg,

v‖ = − 1

me

~B∗

B· (µ∇B − e∇φ), (12)

where ~B∗ = ~B+Bv‖/ωce∇× b, and µ = mev2⊥/2B. The

~E× ~B drift velocity ~vE , the grad-B drift velocity ~vg, andcurvature drift velocity ~vc are given by

~vE =cb×∇φ

B,

~vg =µ

mωceb×∇B, (13)

~vc =v2‖

ωce∇× b.

This electron model is suitable for the dynamics withthe wave frequency ω � ωce and k⊥ρe � 1, where ωceis the electron cyclotron frequency and ρe is the electrongyro radius. Electron dynamics are described by conven-tional Runge-Kutta method. The perturbed density forelectron also can be found from the fluid moment of elec-tron distribution function, δne =

∫δfed

3v. The weightequation for electron can be written as

d

dtwe = (1− we)

[−e

~B∗

B0· ∇φ 1

me

1

f0e

∂f0e∂v‖

](14)

where we = δfe/fe and fe = f0e + δfe. f0e and δfeare the equilibrium and perturbed distribution function,respectively. Simulation related to nonuniform plasmadensity and temperature will be reported in future work.

Field equation - This paper describes the electro-static model of fully kinetic ion and drift kinetic electron.Most recently Bao et al. have formulated the electro-magnetic description of this model.35 The electrostaticpotential can be calculated from the Poisson’s equation

∇⊥ ·[(

1 +ω2p

ω2c

)∇⊥φ

]= −4π(Ziδni − eδne) (15)

Here we consider that fact that the perpendicular wave-length is much shorter than the parallel wavelength tosuppress the high frequency electron plasma oscillationalong the magnetic field line. Second term on the lefthand side corresponds to the electron density due to itsperpendicular polarization drift. For an axisymmetricsystem, the perpendicular Laplacian can be explicitly ex-

pressed as38

∇2⊥ = gψψ

∂2

∂ψ2+ 2gψθ

∂2

∂ψ∂θ0+ (gθθ + gζζ/q2)

∂2

∂θ20

+1

J

(∂Jgψψ

∂ψ+∂Jgψθ

∂θ0

)∂

∂ψ+

1

J

(∂Jgψθ

∂ψ+∂Jgθθ

∂θ0

)∂

∂θ0

(16)

where θ0 = θ−ζ/q, and ζ0 = ζ. In GTC we used the fieldaligned coordinates (ψ, θ0, ζ0), for reducing the numberof parallel grids. Secondly we use the B-spline represen-tation of the magnetic field, which provides a transfor-mation R = R(ψ, θ), and Z = Z(ψ, θ), where (R,Z, ζ)are the cylindrical coordinates. We define the contravari-

ant geometric tensor gξαξβ = ∇ξα · ∇ξβ , (ξ1, ξ2, ξ3) =

(ψ, θ, ζ). The covariant geometric tensor gξαξβ can beexpressed as

gψψ =

(∂R

∂ψ

)2

+

(∂Z

∂ψ

)2

,

gθθ =

(∂R

∂θ

)2

+

(∂Z

∂θ

)2

, (17)

gψθ =∂R

∂ψ

∂R

∂θ+∂Z

∂ψ

∂Z

∂θ,

and gψθ = gθψ, gζζ = R2 = (R0 + rcosθ)2 for concentriccross-section tokamak, where R0 is the major radius ofthe tokamak.

B. Boris push for ion dynamics

The efficiency of particle simulation strongly dependson the particle pusher. Boris scheme is the most widelyused orbit integrator in explicit particle-in-cell (PIC) sim-ulation of plasmas. In this paper we have extended ourBoris push scheme from cylindrical geometry to toroidalgeometry.25 This scheme offers second order accuracywhile requiring only one force (or field) evaluation perstep. The interplay between the PIC cycle and the Borisscheme is schematically represented in Fig.2. At the be-ginning of each cycle the position of the particles andtheir time centered velocity ~v(t − 1/2), weight wi(t), as

well as the grid based electromagnetic fields ~E(t), ~B(t)are given.

In the first step, we add the first half of the electricfield acceleration to the velocity ~v(t− 1/2) to obtain thevelocity at the particle position ~r(t) as follows

~u(t) = ~v(t− 1/2) +Zimi

∆t

2~E(t) (18)

One can write down the components of velocity at parti-cle position ~r(t) as

uα−(t) =∑

β=ψ,θ,ζ

vβ(t− 1/2)~eβ(t− 1/2) · ∇α(t)

+Zimi

∆t

2~E(t) · ∇α(t) (19)

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4

tt-1/2 t+1/2 t+1

irk=2

v α wi vwi α wi

u-

u+

irk=1 (1)

(2)

(3)

zeze ze

FIG. 2. Schematic diagram for the PIC cycle and ion Boris push. The first step indicates the addition of the first half of theelectric field acceleration to the velocity (v → u−). The second step is rotation of the velocity vector (u− → u+). In the thirdstep, we add the second half of the electric field impulse to the rotated velocity component (u+ → uα, α = ψ, θ, ζ). Ion particleweight (wi) and electron guiding center (ze) are updated using the second order Runge-Kutta (irk=1 and irk=2) method. Darkpurple blue indicates the transformation from uα → v, which is needed to update the ion position [cf. Eq.(27)].

where α = ψ, θ, ζ. We note that in Boozer coordinates,the basis vectors are non-orthogonal in nature. How-ever, for simplicity we consider the orthogonal compo-nents only, and Eq.(19) can be rewrite as follows

uψ−(t) =1

gψψ(t)

[vψ(t− 1/2)~eψ(t− 1/2) · ~eψ(t)

+vθ(t− 1/2)~eθ(t− 1/2) · ~eψ(t)

+vζ(t− 1/2)~eζ(t− 1/2) · ~eψ(t)

]+Zimi

∆t

2~E(t) · ∇ψ(t),

uθ−(t) =1

gθθ(t)

[vψ(t− 1/2)~eψ(t− 1/2) · ~eθ(t)

+vθ(t− 1/2)~eθ(t− 1/2) · ~eθ(t)

+vζ(t− 1/2)~eζ(t− 1/2) · ~eθ(t)]

+Zimi

∆t

2~E(t) · ∇θ(t),

uζ−(t) =1

gζζ(t)

[vψ(t− 1/2)~eψ(t− 1/2) · ~eζ(t)

+vθ(t− 1/2)~eθ(t− 1/2) · ~eζ(t)

+vζ(t− 1/2)~eζ(t− 1/2) · ~eζ(t)]

+Zimi

∆t

2~E(t) · ∇ζ(t)

(20)

Using Eq.(7) we can simplify the above equations as

uψ−(t) =(∂r/∂ψ)t

gψψ(t)

[Avψ(t− 1/2)(∂r/∂ψ)t−1/2

+Bvθ(t− 1/2)r(t− 1/2)

+Cvζ(t− 1/2)(R0 + r(t− 1/2)cosθ(t− 1/2))

]− Zimi

∆t

2

∂φ

∂ψgψψ,

uθ−(t) =1

gθθ(t)

[Dvψ(t− 1/2)(∂r/∂ψ)t−1/2r(t)

+Evθ(t− 1/2)r(t− 1/2)r(t)

+Fvζ(t− 1/2)r(t)(R0 + r(t− 1/2)cosθ(t− 1/2))

]− Zimi

∆t

2

∂φ

∂θgθθ,

uζ−(t) =1

gζζ(t)

[Gvψ(t− 1/2)(∂r/∂ψ)t−1/2

+Hvθ(t− 1/2)r(t− 1/2)

+Pvζ(t− 1/2)(R0 + r(t− 1/2)cosθ(t− 1/2))

]×(R0 + r(t)cosθ(t))− Zi

mi

∆t

2

∂φ

∂ζgζζ , (21)

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5

where

A = P cosθ1cosθ2 + sinθ1sinθ2,

B = −P sinθ1cosθ2 + cosθ1sinθ2,

C = cosθ2(−sinζ1cosζ2 + cosζ1sinζ2),

D = −P cosθ1sinθ2 + sinθ1cosθ2,

E = P sinθ1sinθ2 + cosθ1cosθ2, (22)

F = sinθ2(sinζ1cosζ2 − cosζ1sinζ2),

G = cosθ1(−cosζ1sinζ2 + sinζ1cosζ2),

P = cosζ1cosζ2 + sinζ1sinζ2

H = −Gtanθ1, θ1 = θ(t− 1/2), θ2 = θ(t)

ζ1 = ζ(t− 1/2), ζ2 = ζ(t)

In the second step we consider the rotation of the ve-locity at time (t). Rotated vector can be written as

~u+(t) = ~u−(t) +~u−(t)×~s(t) + [~u−(t)× ~T (t)]×~s(t) (23)

where ~T = (Zi ~B/mi)(∆t/2) and ~s = 2~T/(1 + T 2). Mostrecently Wei et al.,34 have developed the single particleion dynamics in general geometry using both toroidal andpoloidal components of magnetic field. In our formula-tions we also incorporate both toroidal and poloidal com-ponents of magnetic field. However, for simplicity duringrotation we consider the toroidal component of magnetic

field only, ~B = g∇ζ = q∇ψ × ∇θ, and the componentsof the rotated vector become

uψ+(t) =

[1−

(2

1 + T 2

)(Zimi

∆t

2

)2

B2

]uψ−(t)

+

(2

1 + T 2

)(Zimi

∆t

2

)(g

J

)gθθ(t)u

θ−(t),

uθ+(t) =

[1−

(2

1 + T 2

)(Zimi

∆t

2

)2

B2

]uθ−(t)

−(

2

1 + T 2

)(Zimi

∆t

2

)(g

J

)gψψ(t)uψ−(t), (24)

uζ+(t) = uζ−(t)

where T = (ZiB/mi)(∆t/2). We assume orthogonal ba-sis vectors, so the off-diagonal terms of metric tensorare zero, and one can redefine the Jacobian as J2 =gψψgθθgζζ , and the diagonal components of the metric

tensor as gψψ = (∂r/∂ψ)2, gθθ = r2, gζζ = (R0+rcosθ)2.

For g = 1, and B = (1 + r/R0cosθ)−1, one can explicitlyprove that

uψ+2gψψ(t) + uθ+

2gθθ(t) + uζ+

2gζζ(t) =

uψ−2gψψ(t) + uθ−

2gθθ(t) + uζ−

2gζζ(t) (25)

i.e., the magnitude of velocity is unchanged during therotation. In the third step, we add the other half electricacceleration to the rotated vectors to obtain the velocityat time (t+ 1/2)

!ci

t0 20 40 60 80

A/A

w

0.021

0.022

0.023

0.024(a)

!ci

t0 20 40 60 80

3

0.35

0.4

0.45

0.5

(b)W/E

rW/O E

r

FIG. 3. Verification of ~E × ~B drift in toroidal geometry.Time variations of (a) poloidal flux function and (b) poloidalangle of the ion position. Here ψw is the poloidal flux functionat the last closed flux surface.

uα(t+ 1/2) = uα+(t) +Zimi

∆t

2~E(t) · ∇α(t) (26)

To update the particle position we need to recover~v(t+1/2), which can be done through the following trans-formation (cf. Fig.2 dark purple arrow)

vγ(t+1/2) =∑

α=ψ,θ,ζ

uα(t+1/2)~eα(t) ·∇γ(t+1/2) (27)

where γ = ψ, θ, ζ. However, the basis vector ∇γ(t +1/2) is still unknown, since γ(t + 1/2) does not exist instandard leap-frog scheme. Here we use an estimator forγ(t+ 1/2) as

γ(t+ 1/2) = γ(t) + uγ(t+ 1/2)∆t

2(28)

After we find the velocity at time (t+1/2), we can updatethe particle position using the leap-frog scheme as

γ(t+ 1) = γ(t) + vγ(t+ 1/2)∆t (29)

In Eq.(27) we have the dot-product of two basis vectorsat different time steps. We have evaluated this equationin the similar way as described in Eqs. (20)-(22).

To verify this cyclotron integrator we have carried outa single particle ion dynamics in toroidal geometry withinverse aspect ratio r/R0 = 0.357, and ρi/r = 0.0048.First we calculate the time variations of the the poloidalflux function and the poloidal angle in the absence ofelectric field [cf. Fig.3 green line]. Secondly we introducea radial electric field in the particle equation of motion.

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!ci

t0 20 40 60 80

A

0.021

0.0215

0.022

0.0225

0.023

0.0235

0.024

0.0245

0.025 (a) !ci" t=0.076

!ci" t=0.153

!ci" t=0.306

!ci" t=0.612

!ci

t0 20 40 60 80

" E

/E

#10 -5

-2.5

-2

-1.5

-1

-0.5

0

0.5(b)

!ci" t=0.076

!ci" t=0.153

!ci" t=0.306

!ci" t=0.612

FIG. 4. Time step convergence of (a) poloidal flux function, and (b) relative energy error of ion.

In the presence of this static electric field, an ion will

experience a ~E × ~B drift in the poloidal direction, asshown in Fig.3 (magenta line). These results between thetheory and GTC simulations are summarized in Table I.

Fig. 4(a)-(b) show the time step convergence of thepoloidal flux function and the relative energy error ofthe marker particle. Fig. 4(a) shows that poloidal fluxfunction can converge with 40 time steps per cyclotronperiod (ωci∆t = 0.153). However, there is no such timedependent relation for the calculation of the energy error.Error in the energy arises mostly due to the decomposi-tion of velocity during first and last steps of the Borisscheme and it is in the acceptable limit (∼ 10−5).

In the above section we have discussed the time ad-vancement of the dynamical quantities like velocity andposition of ion in the time centered manner. However,for the the self-consistent simulation we need to updateparticle weight, electron guiding center and electric field.We use the second order Runge-Kutta (RK) method, toadvance these quantities, which can be described as fol-lows. In our global simulation we use reflective boundarycondition for the particle and fields.

C. RK pusher for particle weight and electron dynamics

Using the initial ion velocity at time (t− 1/2), the ionparticle push module update the velocity up to (t+1/2).The velocity at time (t) is computed by linear average ofvelocities as follows

vγ(t) =vγ(t− 1/2) + vγ(t+ 1/2)

2(30)

Now using the electric field and average velocity at time(t), one can compute (dwi/dt) from Eq.(10). For the firststep of the RK method we advance the particle weightfrom wi(t) to wi(t+1/2), and we(t) to we(t+1/2). Withthe updated values of the source term (charge density),

the field solver compute the electric field at time (t +1/2) (cf. Fig.2 orange arrow). In the second step ofRK we use the updated electric field at (t+ 1/2) for theadvancement of the particle weight, and electron guidingcenter (ze) from (t) to (t+ 1) [cf. Fig.2 dark blue arrow].Mathematically we can write these two steps as follows

� First step (irk=1)

I Ion pusher→ wi(t+ 1/2) = wi(t) +dwidt

∣∣∣∣t

∆t

2,

I Electron

pusher⇒

ze(t+ 1/2) = ze(t) +

dzedt

∣∣∣∣t

∆t

2

we(t+ 1/2) = we(t) +dwedt

∣∣∣∣t

∆t

2

• Solve field solver for ~E(t+ 1/2)

� Second step (irk=2)

I Ion pusher→ wi(t+ 1) = wi(t) +dwidt

∣∣∣∣(t+1/2)

∆t,

I Electron

pusher⇒

ze(t+ 1) = ze(t) +

dzedt

∣∣∣∣(t+1/2)

∆t

we(t+ 1) = we(t) +dwedt

∣∣∣∣(t+1/2)

∆t

• Solve field solver for ~E(t+ 1)

III. LINEAR VERIFICATION OF NORMAL MODESAND NONLINEAR PARTICLE TRAPPING

In this section, we will discuss the electrostatic normalmodes with k‖ = 0 as a benchmark of toroidal Boris

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7

!LH

t0 20 40 60 80 100

? (

A.U

.)

-1

-0.5

0

0.5

1(a)

kr;

i

1.5 2 2.5 3 3.5

!/!

ci

0

1

2

3

4

5

(b)TheoryGTC simulation

FIG. 5. Verification of Normal modes in toroidal geometry. (a) Time history of LH wave amplitude excited by antenna, (b)comparison of IBW dispersion relation between the analytical solution and the GTC simulations for the first four harmonics.

TABLE I. Comparison of ion cyclotron motion including ~E×~B drift from simulation and theory

Parameter Theory GTC Simulation

Gyro radius 8.415×10−3(m) 8.46×10−3(m)Gyro frequency 4.557×106(rad/sec) 4.538×106(rad/sec)~E × ~B drift 1.815×104(m/s) 1.785×104(m/s)

scheme in the linear simulation. The general dispersionrelation of the normal mode in uniform plasma can bewritten as19

1 + χj = 0 (31)

For a Maxwellian background, one can write down thesusceptibility as

χj = −∑j=e,i

1

k2λ2Dj

∞∑l=1

2l2ω2cj

ω2 − l2ω2cj

Il(bj)e−bj (32)

where bj = k2⊥ρ2j , ρj =

√(Tj/mj)/ωcj , λ2Dj =

ε0Tj/n0je2, and ωci = ZiB/mi. For normal modes

(LHW, IBW), we have |ω/ωce| ∼ O(ω/ωce) � 1 andk⊥ρe � 1, hence the electron susceptibility is dominatedby l = 1 term. So the above Eq (32) becomes

1 +ω2pe

ω2ce

− 1

k2⊥λ2Di

∞∑l=1

2l2ω2ci

ω2 − l2ω2ci

Il(bi)e−bi = 0 (33)

For long wavelength limit k → 0+, with ωci � ω � ωce,the frequency of the LH is

ω2LH = ω2

pi

(1 +

ω2p

ω2c

)−1(34)

!LH

t0 50 100 150

e?

/Te

-0.15

-0.1

-0.05

0

0.05

0.1

LinearNonlinear

FIG. 6. Nonlinear GTC simulation of LH wave exhibits os-cillation in wave amplitude (magenta line), while linear sim-ulation shows exponential decay (blue line).

We use an artificial antenna to excite these modes andto verify the mode structure and frequency in our simu-lation. The electrostatic potential of the antenna can bewritten as:

φext = φ0sin(krr)cos(ω0t)cos(m0θ − n0ζ) (35)

In our simulation, the inverse aspect ratio of the toka-mak is r/R0 = 0.018, ρi/r = 0.002, and the back-ground plasma density is uniform with a uniform tem-perature. We use poloidal and toroidal mode filters toselect m=0, n=0 modes. For the lower hybrid simulation,ωpi = 145.2ωci,, ωpe = 6242.8ωci, ωci∆t ' 1.33 × 10−3,me/mi = 5.44618 × 10−4, and particles per wavelength

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kr;i1 2 3

!/!

ci

0

1

2

3

4

!0

!1

!2

(Pump)

FIG. 7. Schematic of an IBW parametric decay process.

Pump wave (ω0,~k0) decays into an IBW side band (ω1,~k1)

and an ion cyclotron quasi mode (ICQM) (ω2,~k2). Greenlines represent the theoretical dispersion curve of the IBWfor first two harmonics.

are 8 × 106. We carry out the scan with different an-tenna frequencies, and find out the frequency in whichthe mode response has the maximum growth of the am-plitude. That frequency is then identified as the eigen-mode frequency of the system. Fig. 5(a) shows the timehistory of the lower hybrid wave amplitude for the an-tenna frequency ω0 = 41.0ωci, which agrees well with theanalytical frequency 40.9ωci. Also the amplitude of theLH wave increases linearly with time, since there is nodamping due to k‖ = 0. To avoid the boundary effectswe consider (∆/ρi = 41.13), where ∆ is the width of thesimulation domain.

Similarly we carried out the simulation of the IBWwaves for the first four harmonics (l = 1 − 4). In thissimulation by changing the plasma density we considerωpi = 10.01ωci, ωpe = 422.3ωci, ∆/ρi = 19.45, ωci∆t '0.055, and particles per wavelength are 8×106. Fig. 5(b)shows a good agreement between the analytical and GTCsimulation results of the IBW frequency.

As a first step in developing this nonlinear toroidalparticle simulation model, we carry out the nonlinearGTC simulation of electron trapping by the LH wavewith a large amplitude [cf. Fig. 6] in cylindrical geome-try. Initially the linear lower hybrid eigen mode (m = 4,and n = 1) is excited using an artificial antenna. Afterthe wave amplitude reaches the plateau regime, we turnoff the antenna, and the wave decays exponentially dueto the Landau damping on electrons in the linear simu-lation (blue line).26 The linear damping rates obtainedfrom the theory (0.3ωLH) agree well with the simulation(0.31ωLH). However, in the nonlinear simulation, theresonant electrons can be trapped by the electric fieldof the wave. The wave amplitude become oscillatory

TABLE II. Comparison of bounce frequency of nonlinearlytrapped particle in LH wave simulation

eφ/Te Theory GTC Simulation

0.00885 2.91ωci 3.04ωci0.04866 6.8ωci 6.7ωci

with a frequency equal to the trapped electron oscilla-tion frequency (magenta line). The bounce frequencies

ωb = k‖vthe√eφ/Te are close to the analytical values

(Table II). During the antenna excitation of LH waveeignemode, the particle dynamics are linear for both lin-ear and nonlinear simulation.

IV. PDI OF ION CYCLOTRON WAVE ANDNONLINEAR ION HEATING

Magnetized plasma supports a large number of elec-trostatic and electromagnetic modes. When wave energyis still relatively low, these modes are mutually indepen-dent and represent a description for the response of theplasma to local perturbation and external field. How-ever, at higher amplitudes these modes are coupled andexchange momentum and energy with each other throughthe coherent wave phenomenon , e.g., parametric decay

instabilities (PDI). In this process the pump wave (ω0,~k0)decays into two daughter waves or one daughter wave

(ω1,~k1) and a quasimode (ω2,~k2) pair. The selectionrule for this decay process is given by

ω0 = ω1 + ω2~k0 = ~k1 + ~k2 (36)

Looking at Figure 7, we see that in this case, thepump wave can decay into one daughter with a nearzero wavenumber and another wave with nearly the samewavenumber as the pump wave. This process is consid-ered to be the most probable non-resonant decay channelof PDI in the ion cyclotron heating regime. Possible de-cay channels in the ion cyclotron range of frequency inexperiments have been discussed by Porkolob.42 In Fig-ure 7, we show the IBW dispersion relation (green lines)for the same parameter as in Figure 5(b). In our simula-tion, the pump wave itself is not an IBW, and the valueof ω/ωci at the antenna position is 2.25, as indicated inFig.7. When ω0 = ωIBW + ωci i.e., the frequency shift ofthe wave is close to the ion cyclotron frequency, the waveis strongly damped on ions and known as ion cyclotronquasi-mode (ICQM).

In experiment, a pump wave of fixed frequency passingthrough the nonuniform plasma density and temperatureexperiences the variation of the wave vector to satisfythe dispersion relation. As a result of this inhomogene-ity, layers may exist where selection rules of mode-modecoupling are easily satisfied. However, in our simula-tion plasma density and temperature are uniform and the

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!ci

t0 20 40 60 80

" E

? (

n0T

i)

#10 -3

-2

0

2

4

6

8

10

12

14(a)

!0=2.15 !

ci

!0=2.20 !

ci!

0=2.25 !

ci

|e?/Ti| 2

0 0.05 0.1 0.15 0.2 0.25

" E

?(n

0T

i)

0

0.01

0.02

0.03

0.04

0.05 (b)

FIG. 8. (a) Time history of change of perpendicular kinetic energy of ion for different pump wave frequency, and (b) change inkinetic energy of ion as a function of intensity of the pump wave.

!ci

t0 100 200 300 400

" E

(n0T

i)

-0.01

0

0.01

0.02

0.03

0.04

0.05

Linear( ?)Nonlinear( ?)Linear(||)Nonlinear(||)

FIG. 9. Time history of change of kinetic energy of ion. Greenand magenta lines represent the energy change during linearsimulation in the perpendicular and parallel direction, respec-tively. Red and dotted lines indicate the energy change duringnonlinear simulation in the perpendicular and parallel direc-tion, respectively.

wave vectors of the pump wave and the sideband wave arechosen by the antenna. To satisfy the frequency match-ing condition in our simulation, we scan the pump wavefrequencies with fixed wavevector. The energy transferfrom the wave to ion (nonlinear ion heating) is maxi-mum, when the frequency selection of parametric decay,ω1 = ωIBW and ω2 = ωci are satisfied (cf. Fig.8(a) redline). Otherwise the energy transfer is negligible (cf.

Fig.8(a) green and blue lines). Our simulations are allelectrostatic and we consider only m=0, n=0 mode. Weconsider ωpi = 10.01ωci, ωpe = 422.3ωci, ∆/ρi = 19.45,100 radial grid points per wavelength, 200 particles percell. The simulation time step (ωci∆t ' 0.02) is suffi-cient to resolve IBW, ion cyclotron wave and pump wavedynamics. In this case the particles trajectory are de-scribed by the perturbed electric field in addition to theequilibrium magnetic field [cf. IIA]. Fig.8(b) shows thatthe temperature of the hot ions increases linearly as theamount of rf power increases, since the kinetic energy ofthe ion [(1/2)mi(U/cs)

2] is proportial to (eφ/Ti)2, where

U/cs = k0⊥ρi(eφ/Ti) is the normalized ion velocity, and

cs =√Te/mi is the ion sound speed. We measure the

energy of the ion after 400 ion cyclotron periods. Thissimulation time is long enough to excite the daughterwaves for the prominent PDI phenomenon.

Fig.9 shows that ion heating takes place only in theperpendicular direction. The ion temperature in the par-allel direction does not change. Since the wave heat-ing affects predominantly the perpendicular ion distribu-tion, which is consistent with the results observed in thescrape-off layer (SOL) of DIII-D,8 Alcator-C Mod,9 andHT-710 experiments during the IBW heating and highharmonic fast waves heating in NSTX.11 This parasiticabsorption of the wave energy degrade the performanceof ion Bernstein and ion cyclotron harmonics resonanceheating. However, our simulations are limited to thecore region only. In our nonlinear simulation the pon-deromotive effect is absent, since we consider the plasmaresponse in the r direction only. With the present sim-ulation setup, the amount of power transferred to thesideband (IBW) has not been measured directly, but theenergy of the quasi-mode is measured from the parti-cle diagnosis. During the linear simulation, wave parti-

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10

cle interaction can be possible only through the lineardamping, which is negligible compared to the nonreso-nant damping.

V. DISCUSSION

In summary, nonlinear global toroidal particle simula-tions have been developed using fully kinetic ion and driftkinetic electron to study the electron trapping by LHWand parametric decay process of ion cyclotron range offrequency (ICRF) waves in uniform core plasma. Weverify our simulation results with the linear dispersionrelation. In the nonlinear simulation of LH wave, we findthat the amplitude of the electrostatic potential oscillateswith a bounce frequency, which is due to the wave trap-ping of resonant electrons. We also find the nonlinearanisotropic ion heating due to nonresonant three wavecoupling. One must mention here that in tokamak sce-nario with non-uniform density and temperature, energydensity of the wave can begin to approach the thermalenergy in the edge. Since, in the edge region the den-sities and temperatures are factors of 102 to 103 lowerthan in the core produce strong ponderomotive effectsand parametric decay physics.

ACKNOWLEDGMENTS

Author AK would like to thank Dr. R. B. White forhis useful suggestions. This work is supported by PPPLsubcontract number S013849-F, US Department of En-ergy (DOE) SciDAC GSEP Program and China NationalMagnetic Confinement Fusion Energy Research Program,Grant No. 2013GB111000, and 2015GB110003. Simula-tions were performed using the super computer resourcesof the Oak Ridge Leadership Computing Facility at OakRidge National Laboratory (DOE Contract No. DE-AC05-00OR22725), and the National Energy ResearchScientific Computing Center (DOE Contract No. DE-AC02-05CH11231).

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