MHD turbulence in the solar corona and solar wind

Similar documents
MHD turbulence in the solar corona and solar wind

SW103: Lecture 2. Magnetohydrodynamics and MHD models

20. Alfven waves. ([3], p ; [1], p ; Chen, Sec.4.18, p ) We have considered two types of waves in plasma:

Heating of Test Particles in Numerical Simulations of MHD Turbulence and the Solar Wind

Transition From Single Fluid To Pure Electron MHD Regime Of Tearing Instability

School and Conference on Analytical and Computational Astrophysics

ICMs and the IPM: Birds of a Feather?

Forced hybrid-kinetic turbulence in 2D3V

Date of delivery: 29 June 2011 Journal and vol/article ref: IAU Number of pages (not including this page): 7

Greg Hammett Imperial College, London & Princeton Plasma Physics Lab With major contributions from:

Magnetohydrodynamic Waves

Plasma spectroscopy when there is magnetic reconnection associated with Rayleigh-Taylor instability in the Caltech spheromak jet experiment

Particle acceleration in stressed coronal magnetic fields

Solar Wind Turbulent Heating by Interstellar Pickup Protons: 2-Component Model

Turbulence Analysis of a Flux Rope Plasma on the Swarthmore Spheromak Experiment

Cosmic-ray Acceleration and Current-Driven Instabilities

Small scale solar wind turbulence: Recent observations and theoretical modeling

Review of electron-scale current-layer dissipation in kinetic plasma turbulence

Magnetic Reconnection in Laboratory, Astrophysical, and Space Plasmas

Detection and analysis of turbulent structures using the Partial Variance of Increments method

Turbulence and Reconnection

Fundamentals of Turbulence

Kinetic Turbulence in the Terrestrial Magnetosheath: Cluster. Observations

The Effect of Magnetic Turbulence Energy Spectra and Pickup Ions on the Heating of the Solar Wind

November 2, Monday. 17. Magnetic Energy Release

Introduction to Magnetohydrodynamics (MHD)

Reconnection and the Formation of Magnetic Islands in MHD Models

Alfvénic Turbulence in the Fast Solar Wind: from cradle to grave

Coronal Heating Problem

Random Walk on the Surface of the Sun

Kinetic, Fluid & MHD Theories

Heating of ions by low-frequency Alfven waves

MHD RELATED TO 2-FLUID THEORY, KINETIC THEORY AND MAGANETIC RECONNECTION

Amplification of magnetic fields in core collapse

3D hybrid-kinetic turbulence and phase-space cascades

Macroscopic plasma description

Magnetic reconnection in coronal plasmas

Role of coherent structures in space plasma turbulence: Filamentation of dispersive Alfvén waves in density channels

Solar Flare. A solar flare is a sudden brightening of solar atmosphere (photosphere, chromosphere and corona)

Turbulent dissipation in the solar wind and corona

Jet Stability: A computational survey

Turbulence in Tokamak Plasmas

Magnetohydrodynamic Turbulence: solar wind and numerical simulations

arxiv: v1 [astro-ph.sr] 10 Nov 2015

arxiv: v3 [astro-ph.he] 15 Jun 2018

PHYS 643 Week 4: Compressible fluids Sound waves and shocks

IN-SITU OBSERVATIONS OF MAGNETIC RECONNECTION IN PLASMA TURBULENCE

Solar Flares and Particle Acceleration

Beyond Ideal MHD. Nick Murphy. Harvard-Smithsonian Center for Astrophysics. Astronomy 253: Plasma Astrophysics. February 8, 2016

Coronal Heating versus Solar Wind Acceleration

Turbulence, nonlinear dynamics, and sources of intermittency and variability in the solar wind

Magnetohydrodynamic Turbulence

Finite-time singularity formation at a magnetic neutral line in Hall magnetohydrodynamics

Electron acceleration by strong DC electric fields in extragalactic jets

Theoretical Foundation of 3D Alfvén Resonances: Time Dependent Solutions

MAGNETOHYDRODYNAMICS - 2 (Sheffield, Sept 2003) Eric Priest. St Andrews

Two Fluid Dynamo and Edge-Resonant m=0 Tearing Instability in Reversed Field Pinch

Reduced MHD. Nick Murphy. Harvard-Smithsonian Center for Astrophysics. Astronomy 253: Plasma Astrophysics. February 19, 2014

THE ROLE OF DUST-CYCLOTRON DAMPING OF ALFVÉN WAVES IN STAR FORMATION REGIONS

On Decaying Two-Dimensional Turbulence in a Circular Container

Solar Wind Turbulence

Fluid modeling of anisotropic heating and microinstabilities

Turbulent Magnetic Helicity Transport and the Rapid Growth of Large Scale Magnetic Fields

Space Physics / Plasma Physics at BRI

Kinetic effects on ion escape at Mars and Venus: Hybrid modeling studies

Observations of counter-propagating Alfvénic and compressive fluctuations in the chromosphere

Resistive MHD, reconnection and resistive tearing modes

Linear and non-linear evolution of the gyroresonance instability in Cosmic Rays

Physical modeling of coronal magnetic fields and currents

Kinetic Effects in Coronal Holes & High-Speed Streams: A Roundup of Observational Constraints

Open magnetic structures - Coronal holes and fast solar wind

Magnetic Reconnection in Space Plasmas

Special topic JPFR article Prospects of Research on Innovative Concepts in ITER Era contribution by M. Brown Section 5.2.2

The evolution of solar wind turbulence at kinetic scales

NANOFLARES HEATING OF SOLAR CORONA BY RECONNECTION MODEL

Francesco Califano. Physics Department, University of Pisa. The role of the magnetic field in the interaction of the solar wind with a magnetosphere

Magnetic Reconnection: Recent Developments and Future Challenges

11. SIMILARITY SCALING

Lesson 3: MHD reconnec.on, MHD currents

arxiv:astro-ph/ v1 11 Oct 2004

NONLINEAR MHD WAVES THE INTERESTING INFLUENCE OF FIREHOSE AND MIRROR IN ASTROPHYSICAL PLASMAS. Jono Squire (Caltech) UCLA April 2017

arxiv: v1 [astro-ph.sr] 25 Jul 2016

Magnetic Self-Organization in the RFP

Dissipation Mechanism in 3D Magnetic Reconnection

arxiv: v2 [astro-ph.sr] 3 Aug 2010

arxiv: v1 [physics.plasm-ph] 26 Jul 2017

3D Reconnection of Weakly Stochastic Magnetic Field and its Implications

Tokamak Edge Turbulence background theory and computation

Ideal Magnetohydrodynamics (MHD)

Incompressible MHD simulations

Waves & Turbulence in the Solar Wind: Disputed Origins & Predictions for PSP

Gyrokinetic Simulations of Tearing Instability

Plasma Physics for Astrophysics

Electron acceleration and turbulence in solar flares

Plasma waves in the fluid picture I

SOLAR MHD Lecture 2 Plan

arxiv: v2 [astro-ph.sr] 4 Dec 2016

PLASMA ASTROPHYSICS. ElisaBete M. de Gouveia Dal Pino IAG-USP. NOTES: (references therein)

Prof. dr. A. Achterberg, Astronomical Dept., IMAPP, Radboud Universiteit

Extended Coronal Heating and Solar Wind Acceleration over the Solar Cycle

Transcription:

MHD turbulence in the solar corona and solar wind Pablo Dmitruk Departamento de Física, FCEN, Universidad de Buenos Aires

Turbulence, magnetic reconnection, particle acceleration Understand the mechanisms that accelerate charged particles in turbulent plasmas.

Turbulence, magnetic reconnection, particle acceleration Understand the mechanisms that accelerate charged particles in turbulent plasmas. Relation to magnetic reconnection.

Turbulence, magnetic reconnection, particle acceleration Understand the mechanisms that accelerate charged particles in turbulent plasmas. Relation to magnetic reconnection. Clues for dissipation mechanisms.

Turbulence, magnetic reconnection, particle acceleration Understand the mechanisms that accelerate charged particles in turbulent plasmas. Relation to magnetic reconnection. Clues for dissipation mechanisms. Differential energization: T e T e, T i T i

Turbulence, magnetic reconnection, particle acceleration Understand the mechanisms that accelerate charged particles in turbulent plasmas. Relation to magnetic reconnection. Clues for dissipation mechanisms. Differential energization: T e T e, T i T i Direct approach: Test particles trajectories are followed in the turbulent fields obtained from a direct numerical solution of the MHD equations. Dmitruk, Matthaeus, Seenu, ApJ 617, 667 (2004) Dmitruk, Matthaeus, Seenu, Brown, ApJ 597, L81 (2003) Ambrosiano, Matthaeus, Goldstein, Plante, JGR 93, 14383 (1988)

Advantages Turbulent fields are not modeled but a direct result of the MHD simulations: energy cascade, coherent structures

Advantages Turbulent fields are not modeled but a direct result of the MHD simulations: energy cascade, coherent structures Current sheets (reconnection) are a natural result of the (resistive) MHD evolution (i.e. not set up as an initial condition)

Advantages Turbulent fields are not modeled but a direct result of the MHD simulations: energy cascade, coherent structures Current sheets (reconnection) are a natural result of the (resistive) MHD evolution (i.e. not set up as an initial condition) Disadvantages Extremely computationally demanding if we want to fully resolve from turbulent (MHD) to particle scales

Advantages Turbulent fields are not modeled but a direct result of the MHD simulations: energy cascade, coherent structures Current sheets (reconnection) are a natural result of the (resistive) MHD evolution (i.e. not set up as an initial condition) Disadvantages Extremely computationally demanding if we want to fully resolve from turbulent (MHD) to particle scales Lack of self-consistency in the MHD-kinetic physics interplay at the dissipative scales

MHD Simulations We use turbulent fields obtained from a Direct Numerical Solution (pseudospectral code) of the compressible 3D MHD equations

MHD Simulations We use turbulent fields obtained from a Direct Numerical Solution (pseudospectral code) of the compressible 3D MHD equations b(x, y, z, t), v(x, y, z, t) fluctuating fields, with a background magnetic field B 0 ẑ, such that B = B 0 ẑ + b and we set B 0 = 8 δb, δb = b 2 1/2.

MHD Simulations We use turbulent fields obtained from a Direct Numerical Solution (pseudospectral code) of the compressible 3D MHD equations b(x, y, z, t), v(x, y, z, t) fluctuating fields, with a background magnetic field B 0 ẑ, such that B = B 0 ẑ + b and we set B 0 = 8 δb, δb = b 2 1/2. Start with some initially large scale eddies: energy containing scale (turbulent correlation length) L = 1/2π box size. Periodic boundary conditions.

MHD Simulations We use turbulent fields obtained from a Direct Numerical Solution (pseudospectral code) of the compressible 3D MHD equations b(x, y, z, t), v(x, y, z, t) fluctuating fields, with a background magnetic field B 0 ẑ, such that B = B 0 ẑ + b and we set B 0 = 8 δb, δb = b 2 1/2. Start with some initially large scale eddies: energy containing scale (turbulent correlation length) L = 1/2π box size. Periodic boundary conditions. Set v 2 1/2 = v 0 = δb/ 4πρ the plasma alfvenic speed based on the fluctuations (distinct from v A = B 0 / 4πρ the alfvenic speed based on the DC field, v A = 10v 0 ). Plasma β = v 2 T /v2 A = 0.16 v T = 4v 0, Mach number M s = v 0 /c s = 0.25

MHD Simulations We use turbulent fields obtained from a Direct Numerical Solution (pseudospectral code) of the compressible 3D MHD equations b(x, y, z, t), v(x, y, z, t) fluctuating fields, with a background magnetic field B 0 ẑ, such that B = B 0 ẑ + b and we set B 0 = 8 δb, δb = b 2 1/2. Start with some initially large scale eddies: energy containing scale (turbulent correlation length) L = 1/2π box size. Periodic boundary conditions. Set v 2 1/2 = v 0 = δb/ 4πρ the plasma alfvenic speed based on the fluctuations (distinct from v A = B 0 / 4πρ the alfvenic speed based on the DC field, v A = 10v 0 ). Plasma β = v 2 T /v2 A = 0.16 v T = 4v 0, Mach number M s = v 0 /c s = 0.25 Reynolds numbers R = v 0 L/ν = R m = v 0 L/µ = 1000 (limited by numerical resolution at 256 3 )

MHD Simulations We use turbulent fields obtained from a Direct Numerical Solution (pseudospectral code) of the compressible 3D MHD equations b(x, y, z, t), v(x, y, z, t) fluctuating fields, with a background magnetic field B 0 ẑ, such that B = B 0 ẑ + b and we set B 0 = 8 δb, δb = b 2 1/2. Start with some initially large scale eddies: energy containing scale (turbulent correlation length) L = 1/2π box size. Periodic boundary conditions. Set v 2 1/2 = v 0 = δb/ 4πρ the plasma alfvenic speed based on the fluctuations (distinct from v A = B 0 / 4πρ the alfvenic speed based on the DC field, v A = 10v 0 ). Plasma β = v 2 T /v2 A = 0.16 v T = 4v 0, Mach number M s = v 0 /c s = 0.25 Reynolds numbers R = v 0 L/ν = R m = v 0 L/µ = 1000 (limited by numerical resolution at 256 3 ) Run the code for two t 0 = L/v 0 (eddy turnover times), fully turbulent state developed, take a snapshot for pushing the test particles.

MHD turbulence energy spectrum: obtained 10 1 10 2 E k 10 3 10 4 10 5 1 10 100 k

MHD spatial structure: parallel current density Jz

Cross-sections: magnetic field over current density xz plane xy plane

Equations of motion for charged particles: Particles du dt = q m (1 c u B + E), dx dt = u

Equations of motion for charged particles: Particles du dt = q m (1 c u B + E), dx dt = u with electric field E = 1 c v B + v 0L J = inductive + resistive R m c

Equations of motion for charged particles: Particles du dt = q m (1 c u B + E), dx dt = u with electric field E = 1 c v B + v 0L J = inductive + resistive R m c Particle gyrofrequency w g = qb/(mc) (small) lengthscale r g = u /w g = u mc/(qb). If u = v 0, B = B 0 gyroradius r 0 = v 0 mc/(qb 0 ).

Turbulent length scales vs particle scales Dissipation length l d ρ ii (ion skin depth) Supported by solar wind observations, linear Vlasov theory, kinetic physics reconnection studies. ρ ii = ion skin depth = c/w pi = c/ e 2 4πn/m p

Turbulent length scales vs particle scales Dissipation length l d ρ ii (ion skin depth) Supported by solar wind observations, linear Vlasov theory, kinetic physics reconnection studies. ρ ii = ion skin depth = c/w pi = c/ e 2 4πn/m p ρ ii /L 1 for astrophysical and space plasmas (ρ ii /L 10 5 for solar wind)

Turbulent length scales vs particle scales Dissipation length l d ρ ii (ion skin depth) Supported by solar wind observations, linear Vlasov theory, kinetic physics reconnection studies. ρ ii = ion skin depth = c/w pi = c/ e 2 4πn/m p ρ ii /L 1 for astrophysical and space plasmas (ρ ii /L 10 5 for solar wind) We consider ρ ii /L = 1/32, L box 200ρ ii

Turbulent length scales vs particle scales Dissipation length l d ρ ii (ion skin depth) Supported by solar wind observations, linear Vlasov theory, kinetic physics reconnection studies. ρ ii = ion skin depth = c/w pi = c/ e 2 4πn/m p ρ ii /L 1 for astrophysical and space plasmas (ρ ii /L 10 5 for solar wind) We consider ρ ii /L = 1/32, L box 200ρ ii Particle (nominal) gyroradius vs turbulent dissipative scale r 0 l d = Z m m p δb B 0 electrons r e 0/l d = 6 10 5 protons r p 0/l d = 0.1

displacement [ L ] Electrons (rms displacement) 1.5 1.0 < z 2 > 1/2 (parallel) 0.5 < x 2 > 1/2 (transverse) 0.0 0.00 0.02 0.04 0.06 0.08 0.10 time [ t 0 ] Run stops when < z 2 > 1/2 L

velocity [ v 0 ] Electrons (rms velocity) 20 15 <u z 2 > 1/2 (parallel) 10 5 <u x 2 > 1/2 (transverse) 0 0.00 0.02 0.04 0.06 0.08 0.10 time [ t 0 ]

<u z 2 > / <ux 2 > Electrons (parallel/transverse velocity square) 150 100 50 0 0.00 0.02 0.04 0.06 0.08 0.10 time [ t 0 ] T e T e

N 1 dn/du j [v 0 1 ] Electrons (velocity distribution) 1.0000 0.1000 u x (transverse) 0.0100 0.0010 u z (parallel) 0.0001 160 80 0 80 160 u j [v 0 ] In t = 10 4 τ e = 0.1t 0 with τ e = 2πm e c/(eb 0 )

u z [ v 0 ] parallel Electrons (velocity scatter plot) 160 80 0 80 160 160 80 0 80 160 u x [ v 0 ] transverse

N 1 dn/dr g e Electrons (gyroradii) 10 6 [L 1 ] 10 5 10 4 10 3 l d 10 2 10 7 10 6 10 5 10 4 10 3 10 2 10 1 r e g [L] r e g = u m e c/(eb 0 )

Electrons (trajectories)

Electron parallel velocity gain: scaling du dt = e E = e v 0 L J, m e m e c R m dz dt = u

Electron parallel velocity gain: scaling du dt = e E = e v 0 L J, m e m e c R m dz dt = u z L in t = t = (2m e cr m /eu 0 J ) 1/2 u = (2eu 0 J /m e cr m ) 1/2 L

Electron parallel velocity gain: scaling du dt = e E = e v 0 L J, m e m e c R m dz dt = u z L in t = t = (2m e cr m /eu 0 J ) 1/2 u = (2eu 0 J /m e cr m ) 1/2 L which can be rewritten using J 0 = δb/l and ρ ii as u = [ 2m p m e L ρ ii 1 R m J J 0 ] 1/2 v 0

Electron parallel velocity gain: scaling du dt = e E = e v 0 L J, m e m e c R m dz dt = u z L in t = t = (2m e cr m /eu 0 J ) 1/2 u = (2eu 0 J /m e cr m ) 1/2 L which can be rewritten using J 0 = δb/l and ρ ii as u = [ 2m p m e L 1 J ] 1/2 v 0 ρ ii R m J 0 Using J max /J 0 = 47 we get t 0.03t 0 and u 74v 0 for the maximum velocity

Electron parallel velocity gain: scaling du dt = e E = e v 0 L J, m e m e c R m dz dt = u z L in t = t = (2m e cr m /eu 0 J ) 1/2 u = (2eu 0 J /m e cr m ) 1/2 L which can be rewritten using J 0 = δb/l and ρ ii as u = [ 2m p m e L 1 J ] 1/2 v 0 ρ ii R m J 0 Using J max /J 0 = 47 we get t 0.03t 0 and u 74v 0 for the maximum velocity Using J /J 0 = 4.5 we get t 0.09t 0 and u 20v 0 for the average velocity

velocity [ v 0 ] Protons (mean square velocities) 20 15 <u x 2 > 1/2 (transverse) 10 5 <u z 2 > 1/2 (parallel) 0 0.0 0.5 1.0 1.5 2.0 time [ t 0 ] T i T i

N 1 dn/du j [v 0 1 ] 1.0000 Protons (velocity distribution function) 0.1000 u z (parallel) 0.0100 0.0010 u x (transverse) 0.0001 160 80 0 80 160 u j [v 0 ] At t = 90τ p = 1.8t 0 with τ p = 2πm p c/(eb 0 )

u z [ v 0 ] parallel Protons (velocity scatter plot) 160 80 0 80 160 160 80 0 80 160 u x [ v 0 ] transverse

N 1 dn/dr g p Protons: gyroradii at t = 2τ p = 0.04t 0 1000 [L 1 ] 100 10 l d 1 10 5 10 4 10 3 10 2 10 1 10 0 r g p [L] r p g = u m p c/(eb 0 )

N 1 dn/dr g p Protons: gyroradii at t = 20τ p = 0.4t 0 100.00 [L 1 ] 10.00 1.00 0.10 l d 0.01 10 5 10 4 10 3 10 2 10 1 10 0 r p g [L]

N 1 dn/dr g p 100.00 Protons: gyroradii at t = 90τ p = 1.8t 0 [L 1 ] 10.00 1.00 0.10 l d 0.01 10 5 10 4 10 3 10 2 10 1 10 0 r p g [L]

Protons: trajectories

Protons: trajectories top view

Proton transverse velocity gain: scaling In the gyromotion u = w p r, with w p = eb 0 /(m p c) or equivalently u /v 0 = (B 0 /δb)(r/ρ ii ).

Proton transverse velocity gain: scaling In the gyromotion u = w p r, with w p = eb 0 /(m p c) or equivalently u /v 0 = (B 0 /δb)(r/ρ ii ). Energy gain stops at a critical gyroradius r.

Proton transverse velocity gain: scaling In the gyromotion u = w p r, with w p = eb 0 /(m p c) or equivalently u /v 0 = (B 0 /δb)(r/ρ ii ). Energy gain stops at a critical gyroradius r. Estimating r = Lρ ii, we get u B 0 v 0 δb [ L ] 1/2 ρ ii

Proton transverse velocity gain: scaling In the gyromotion u = w p r, with w p = eb 0 /(m p c) or equivalently u /v 0 = (B 0 /δb)(r/ρ ii ). Energy gain stops at a critical gyroradius r. Estimating r = Lρ ii, we get u B 0 v 0 δb [ L ] 1/2 ρ ii Using the numerical values u 60v 0

Effect of time dependent fields: just started, but...

Effect of time dependent fields: just started, but... Electrons move fast and with very small gyroradius, so, remain completely unaffected by the slow evolution of the MHD fields

Effect of time dependent fields: just started, but... Electrons move fast and with very small gyroradius, so, remain completely unaffected by the slow evolution of the MHD fields Ions are more sensitive to the time evolution of the MHD fields, (because they move slower and with larger gyroradius) resulting in slower energy gain, but still, we get large perp velocities in times of the order of the Alfven time. When u p >> v A then the dynamics of the particles becomes unaffected by the slow time evolution of the fields.

Effect of time dependent fields: just started, but... Electrons move fast and with very small gyroradius, so, remain completely unaffected by the slow evolution of the MHD fields Ions are more sensitive to the time evolution of the MHD fields, (because they move slower and with larger gyroradius) resulting in slower energy gain, but still, we get large perp velocities in times of the order of the Alfven time. When u p >> v A then the dynamics of the particles becomes unaffected by the slow time evolution of the fields. Another issue: influence of the Hall effect, negligible for electrons, it affects more (but not much) the behavior of ions (see Dmitruk & Matthaeus, Jour. Geophys. Res. 111, A12110, 2006)

Hall MHD turbulence Electric field E = v c B + J B nec + ηj

S E (k) Hall MHD turbulence Electric field E = v c B + J B nec + ηj Spectrum of the electric field 10 2 10 3 10 4 10 5 10 6 1 10 100 k k H k d

Distribution functions 10 0 10 1 N 1 dn/db x 10 2 10 3 10 4 10 5 2 0 2 b x 10 1 10 0 10 1 N 1 dn/de x 10 2 10 3 10 4 10 5 2 0 2 E x

Effect on reconnection changes the reconnection rate Dmitruk and Matthaeus, Phys. Plasmas 2006; also Reduced Hall MHD in Gomez, Dmitruk, Mahajan, Phys. Plasmas 2009; Martin, Dmitruk, Gomez, Phys. Plasmas 2010

electric field ratio b x, v z, b 2 1 0 1 2π/k H 2 2π/k d 0 5 10 15 20 j y 150 100 50 0 50 0 5 10 15 20 (v x b) y, (εj x b) y, µ j y 1.50 0.75 0.00 0.75 2π/k H 1.50 2π/k d 0 5 10 15 20 1.0 0.8 0.6 0.4 0.2 0.0 0 5 10 15 20 gridpoint

N 1 dn/dp j [(m e v 0 ) 1 ] Electrons (momentum distribution function) 1.0000 0.1000 p x (transverse) 0.0100 0.0010 p z (parallel) 0.0001 160 80 0 80 160 p j [m e v 0 ] At t = 10 4 τ e = 0.1t 0, for Hall and non-hall (light lines)

N 1 dn/dp j [(m p v 0 ) 1 ] Protons (momentum distribution function) 1.0000 0.1000 p z (parallel) 0.0100 0.0010 p x (transverse) 0.0001 150 75 0 75 150 p j [m p v 0 ] At t = 90τ p = 1.8t 0, for Hall and non-hall (light lines)

N 1 dn/du j [v 0 1 ] Results with time dependent fields Electrons (velocity distribution function) 1.0000 0.1000 u x (transverse) 0.0100 0.0010 u z (parallel) 0.0001 160 80 0 80 160 u j [v 0 ] At t = 10 4 τ e = 0.1t 0

N 1 dn/du j [v 0 1 ] Protons (velocity distribution function) 1.0000 0.1000 u z (parallel) 0.0100 0.0010 u x (transverse) 0.0001 40 20 0 20 40 u j [v 0 ] At t = 200τ p = 4t 0