using field-particle correlations to diagnose the ... - fis.unical.it€¦ · university of iowa...
TRANSCRIPT
![Page 1: Using Field-Particle Correlations to Diagnose the ... - fis.unical.it€¦ · University of Iowa This work is supported by the NASA PECASE Award NNX10AC91G, NSF/DOE Partnership in](https://reader034.vdocuments.us/reader034/viewer/2022050214/5f600d0be95ec031922ea0ea/html5/thumbnails/1.jpg)
Using Field-Particle Correlations to Diagnose the Collisionless Damping of Plasma Turbulence
Gregory G. Howes University of Iowa
This work is supported by the NASA PECASE Award NNX10AC91G, NSF/DOE Partnership in Plasma Physics Grant DE-SC0014599, NSF CAREER Award AGS-1054061, and the NSF XSEDE Program.
Vlasovia 2016Fifth International Workshop on the Theory and Applications of the Vlasov Equation
Copanella, Italy 30 May - 2 Jun 2016
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Collaborators
Kris Klein (former grad student) Tak Chu Li (postdoc)Jim Schroeder (grad student)Jasper Halekas
University of MichiganUniversity of IowaUniversity of IowaUniversity of Iowa
NASA and White House Office of Science and Technology Policy (PECASE)National Science Foundation CAREER Award National Science Foundation XSEDE Program
Department of Energy
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Outline
• Energy Transfer and Dissipation in Kinetic Plasma Turbulence
• Conservation of Energy in a Kinetic Plasma
• Diagnosing Energy Transfer from Fields to Particles
• Nonlinear Kinetic Simulations: 1D-1V Vlasov-Poisson System- Implementation- Evolution of the Distribution Function
• Field-Particle Correlations using Single-Point Measurements- Best Correlation for Numerical Simulations- Alternative Correlation for Spacecraft Observations
• Application to Strongly Turbulent Systems
• Conclusions
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Why study dissipation of plasma turbulence?The plasma heating that occurs in space and astrophysical
systems is caused by the dissipation of plasma turbulence
NASA/CXC/SAO -Artist’s Conception
• Interpreting observations of remote systems such as black hole accretion disks
Explaining the plasma heating is crucial to understanding the evolution of many poorly understood astrophysical systems
•Heating of the Solar Corona •Acceleration of the Solar Wind
NASA/ TRACE Image
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Solar Wind Turbulent Power Spectrum
(Kiyani, Osman, & Chapman, 2015)
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Turbulence in the Near-Earth Solar Wind
Ultimate Goal:To understand the dynamics and energetics of the entire cascade
Flow of Energy
Flow of energy from large scale turbulent motions to plasma heat
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THOR: Turbulence Heating ObserveRFirst spacecraft mission dedicated to plasma turbulence
Mission:Discover plasma heating and particle energization processes
The dissipation of turbulent fluctuations leads to continuous plasma heating and the acceleration of charged particles.
But THOR is a single spacecraft mission, so developing techniques to identify and characterize the dissipation of turbulence using single-point measurements is of paramount importance
FIELD-PARTICLE CORRELATIONS
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The Damping of Turbulent Fluctuations in the Solar Wind
• To study the turbulent dynamics requires kinetic theory
An innovative technique to measure and characterize the energy transfer associated with collisionless damping of plasma turbulence using single-point measurements
• The collisional mean free path in the solar wind is about 1 AUThe solar wind is a weakly collisional plasma
6D (3D-3V) Distribution Functionsfs(x,v, t) E(x, t) B(x, t)
3D Electromagnetic Fields
• Damping of turbulent fluctuations requires collisonless interactions between the electromagnetic fields and the plasma particles
FIELD-PARTICLE CORRELATIONS
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Maxwell-Boltzmann Equations of Kinetic Plasma Theory
@fs@t
+ v ·rfs +qsms
E+
v ⇥B
c
�· @fs@v
=
✓@fs@t
◆
coll
r ·E = 4⇡⇢q
r ·B = 0r⇥B =4⇡
cj+
1
c
@E
@t
r⇥E =1
c
@B
@t
Boltzmann Equation
Maxwell’s Equations Lorentz Term responsible for interactions between fields and particles
Oscillating Energy Transfer
But the Lorentz term not only describes collisionless damping, but also the oscillating energy transfer of undamped wave motion
0
Key Challenge:Secular Energy Transfer
Define: We want to measure this
But this is often much larger
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Example: The Alfven Wave
• Restoring force: Magnetic Tension• Inertia: Transverse Plasma Motion
The Alfven Wave:Leads to oscillatory wave motion
• In the Ideal MHD limit, the wave is undamped:- All oscillating energy transfer, no secular energy transfer
• In a kinetic treatment under weakly collisional conditions,resonant wave-particle interactions can damp the wave- Electromagnetic wave energy is transferred to microscopic
kinetic energy of the particles
- For , secular transfer is small relative to oscillating transfer
k?⇢i ⌧ 1
- For , secular transfer increases in magnitude
k?⇢i & 1
Collisionless damping of Alfven wave becomes strong
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Physical Dissipation Mechanisms for Kinetic Turbulence
In the weakly collisional solar wind,
Three mechanisms have been proposed:(1) Coherent Wave-Particle Interactions (Landau damping, cyclotron damping)
(Barnes 1966; Coleman 1968; Denskat et al., 1983; Isenberg & Hollweg 1983; Goldstein et al. 1994; Quataert 1998; Leamon et al., 1998, 1999, 2000; Gary 1999; Quateart & Gruzinov, 1999; Isenberg et al. 2001; Hollweg & Isenberg 2002; Howes et al. 2008; Schekochihin et al. 2009; TenBarge & Howes 2013; Howes 2015; Li, Howes, Klein, & TenBarge 2016)
(3) Dissipation in Current Sheets (collisionless magnetic reconnection)(Dmitruk et al. 2004; Markovskii & Vasquez 2011; Matthaeus & Velli 2011; Osman et al. 2011; Servidio 2011; Osman et al. 2012a,b; Wan et al. 2012; Karimabadi et al.2013; Zhdankin et al. 2013; Osman et al. 2014a,b; Zhdankin et al. 2015a,b; )
(2) Incoherent Wave-Particle Interactions (stochastic ion heating)(Johnson & Cheng, 2001; Chen et al. 2001; White et al., 2002; Voitenko & Goosens, 2004; Bourouaine et al., 2008; Chandran et al. 2010; Chandran 2010, Chandran et al. 2011; Bourouaine & Chandran 2013)
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Primary Aims of this Work
• The key challenge is to identify the secular energy transfer in the presence of a much larger oscillating energy transfer
• We want to achieve this using only single-point measurements
• We want to distinguish different collisionless damping mechanisms
The novel field-particle correlation technique introduced here
achieves all of these goals.
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Outline
• Energy Transfer and Dissipation in Kinetic Plasma Turbulence
• Conservation of Energy in a Kinetic Plasma
• Diagnosing Energy Transfer from Fields to Particles
• Nonlinear Kinetic Simulations: 1D-1V Vlasov-Poisson System- Implementation- Evolution of the Distribution Function
• Field-Particle Correlations using Single-Point Measurements- Best Correlation for Numerical Simulations- Alternative Correlation for Spacecraft Observations
• Application to Strongly Turbulent Systems
• Conclusions
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Maxwell-Boltzmann Equations
@fs@t
+ v ·rfs +qsms
E+
v ⇥B
c
�· @fs@v
=
✓@fs@t
◆
coll
r ·E = 4⇡⇢q
r ·B = 0r⇥B =4⇡
cj+
1
c
@E
@t
r⇥E =1
c
@B
@t
Boltzmann Equation
Maxwell’s Equations
00
0
0 0
Vlasov-Poisson Equations
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1D-1V Vlasov-Poisson Equations
Vlasov Equation
Poisson Equation
fs(x, v, t)Distribution Function
�(x, t)Electrostatic Potential
E = �@�
@x
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Conservation of Energy
Electrostatic Limit of Poynting’s Theorem
Multiply Vlasov by and integrate 1
2msv
2Z
dx
Zdv
0
Perfect Differential
Integrate third term by parts in v
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Conservation of Energy
Combining Poynting’s Thm and integrated Vlasov Equation:
Microscopic Kinetic EnergyElectrostatic Field Energy
Conserved Vlasov-Poisson Energy
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Outline
• Energy Transfer and Dissipation in Kinetic Plasma Turbulence
• Conservation of Energy in a Kinetic Plasma
• Diagnosing Energy Transfer from Fields to Particles
• Nonlinear Kinetic Simulations: 1D-1V Vlasov-Poisson System- Implementation- Evolution of the Distribution Function
• Field-Particle Correlations using Single-Point Measurements- Best Correlation for Numerical Simulations- Alternative Correlation for Spacecraft Observations
• Application to Strongly Turbulent Systems
• Conclusions
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Change of Particle Energy
Particles gain energy lost by the electric fieldX
s
@Ws
@t= �@W�
@t
where the change in particle microscopic kinetic energy is
We want to measure the change in particle energy . . . . . . using measurements of
the change in the distribution function.
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Closer look at : @Ws
@t
Change of Particle Energy
Change of Particle Energy
VlasovEquation
BallisticTerm
Linear Wave-Particle Term
Nonlinear Wave-Particle Term
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0
Perfect Differential
0
Perfect Differential
Rate of Change of Particle Energy
Change of Particle Energy
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But this is integrated over velocity and space.Not observationally accessible!
Multiply Vlasov by but do not integrate 1
2msv
2
This term is responsible for energy transfer
Change of Particle Energy in Phase Space
Define: Phase-space energy density
ws(x, v, t) =1
2msv
2fs(x, v, t)
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Change of Particle Energy in Phase Space
C1(v, t, ⌧) = C⌧
✓�qs
v
2
2
@�fs(x0, v, t)
@v
, E(x0, t)
◆
Take a correlation of and E�qsv2
2
@�fs@v
How do we isolate the physics responsible for the energy transfer?
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Field-Particle Correlations
Benefits of this novel field-particle correlation technique:
C1(v, t, ⌧) = C⌧
✓�qs
v
2
2
@�fs(x0, v, t)
@v
, E(x0, t)
◆
1) Energy Transfer Calculation:- Unnormalized correlation directly calculates energy transfer- Can be used with single-point measurements
2) Velocity dependence of particle energization:- Will highlight the resonant nature of mechanism
- Properties of velocity-space signature can distinguish mechanism
- Each mechanism will have a distinct velocity-space signature- Landau Damping, Transit Time Damping, Cyclotron Damping- Stochastic Ion Heating- Collisionless Magnetic Reconnection
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Outline
• Energy Transfer and Dissipation in Kinetic Plasma Turbulence
• Conservation of Energy in a Kinetic Plasma
• Diagnosing Energy Transfer from Fields to Particles
• Nonlinear Kinetic Simulations: 1D-1V Vlasov-Poisson System- Implementation- Evolution of the Distribution Function
• Field-Particle Correlations using Single-Point Measurements- Best Correlation for Numerical Simulations- Alternative Correlation for Spacecraft Observations
• Application to Strongly Turbulent Systems
• Conclusions
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Numerical Implementation
Separate Ballistic, Linear, and Nonlinear Wave-Particle Terms:
BallisticTerm
Linear Wave-Particle Term
Nonlinear Wave-Particle Term
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Simulation Setup
Sinusoidal Electron Density PerturbationGenerates a standing Langmuir wave pattern that damps in time
mi
me= 100
k�de = 0.5
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Evolution of Energy
is converted to
�We =
Zdv
1
2mev
2�fe
Microscopic electron kinetic energy
Electrostatic Field Energy
�W� =
Zdx
E
2
8⇡
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Outline
• Energy Transfer and Dissipation in Kinetic Plasma Turbulence
• Conservation of Energy in a Kinetic Plasma
• Diagnosing Energy Transfer from Fields to Particles
• Nonlinear Kinetic Simulations: 1D-1V Vlasov-Poisson System- Implementation- Evolution of the Distribution Function
• Field-Particle Correlations using Single-Point Measurements- Best Correlation for Numerical Simulations- Alternative Correlation for Spacecraft Observations
• Application to Strongly Turbulent Systems
• Conclusions
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Time Evolution of
Fluctuations of Distribution Function in time
fe(x0, v, t)
Total fe(x0, v, t)
�fe(x0, v, t)Perturbed
BallisticTerm
�feB(x0, v, t)
Linear Wave-Particle Term
�feWl(x0, v, t)
Nonlinear Wave-Particle Term �feWn(x0, v, t)
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Quasilinear Evolution
Integrating yields quasilinear evolution of Rdx
feQL(v, t)
QuasilinearFlattening of the Distribution Function
Compare quasilinear with �feQL(v, t) �feWn(x0, v, t)
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Outline
• Energy Transfer and Dissipation in Kinetic Plasma Turbulence
• Conservation of Energy in a Kinetic Plasma
• Diagnosing Energy Transfer from Fields to Particles
• Nonlinear Kinetic Simulations: 1D-1V Vlasov-Poisson System- Implementation- Evolution of the Distribution Function
• Field-Particle Correlations using Single-Point Measurements- Best Correlation for Numerical Simulations- Alternative Correlation for Spacecraft Observations
• Application to Strongly Turbulent Systems
• Conclusions
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Observable Quantities
-4 -2 0 2 4v/vte
x10-2
-4
-2
0
2
4
-0.2 -0.1 0 0.1 0.20
5
10
15
20
25
E/E0
tωpe
(a) (b)
-4 -2 0 2 4v/vte
x10-2
-4
-2
0
2
4
-0.2 -0.1 0 0.1 0.20
5
10
15
20
25
E/E0
tωpe
(a) (b)
�fe(x0, v, t)
Single-point measurements of and �fe(x0, v, t) E(x0, t)
E(x0, t)
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Goal: Determine Particle Energization
• Using single-point measurements only, we want to devise aprocedure to isolate the particle energization
Energy transfer to particles in phase space(x, v)
C1(v, t, ⌧) = C⌧
✓�qs
v
2
2
@�fs(x0, v, t)
@v
, E(x0, t)
◆
• Determine particle energization as a function of velocity v
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Evolution of Energy Transfer Rate
�qsv
2
2
@�fs(x0, v, t)
@v
E(x0, t)
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Correlation Eliminates Oscillation
Increasing correlation time helps to eliminate oscillation⌧
C1(v, t, ⌧) = C⌧
✓�qs
v2
2
@�fs@v
, E
◆
Wave PeriodT!pe = 4.39
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Integration Yields Net Particle Energization
Integrating heating rate (from correlation) over time
�we(x0, v, t) =
Z t
0dt
0C1(v, t
0, ⌧)
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Field-Particle Correlation Results
Z t
0dt0C1(v, t
0, ⌧)
For a correlation time !pe⌧ = 6.28
C1(v, t, ⌧)
Key ResultVelocity-space signature of quasilinear flattening . . . but from single-point measurements!
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Outline
• Energy Transfer and Dissipation in Kinetic Plasma Turbulence
• Conservation of Energy in a Kinetic Plasma
• Diagnosing Energy Transfer from Fields to Particles
• Nonlinear Kinetic Simulations: 1D-1V Vlasov-Poisson System- Implementation- Evolution of the Distribution Function
• Field-Particle Correlations using Single-Point Measurements- Best Correlation for Numerical Simulations- Alternative Correlation for Spacecraft Observations
• Application to Strongly Turbulent Systems
• Conclusions
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Potential Difficulties
From low resolution, noisy measurements, derivative is very difficult to compute accurately@fs/@v
Integrate by parts
Not exactly the energy transfer rate, but still may be useful to distinguish different energy transfer mechanisms
C1(v, t, ⌧) = C⌧
✓�qs
v2
2
@�fs@v
, E
◆C2(v, t, ⌧) = C⌧ (qsv�fs, E)
@Ws
@t
=
Zdx
Zdv qsv�fsE
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Alternative Correlation C2(v, t, ⌧)
is not exactly the energy transfer rateC2(v, t, ⌧)
But still may be useful to distinguish different energy transfer mechanisms
C2(v, t, ⌧)
�qsv
2
2
@�fs(x0, v)
@v
E(x0)
C1(v, t, ⌧)
qsv�fs(x0, v)E(x0)
C2(v, t, ⌧)
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�qsv
2
2
@�fs(x0, v)
@v
E(x0)qsv�fs(x0, v)E(x0)
Comparison of and C1(v, t, ⌧) C2(v, t, ⌧)
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C1(v, t, ⌧)
C2(v, t, ⌧)R t0 dt0C2(v, t0, ⌧)
R t0 dt0C1(v, t0, ⌧)
Comparison of and C1(v, t, ⌧) C2(v, t, ⌧)
Resonant Nature of Damping remains clear!
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Weak Collisionless Damping
C1(v, t, ⌧)R t0 dt0C1(v, t0, ⌧)
k�de = 0.5
ModerateDamping
� �! = 0.11
k�de = 0.25
WeakDamping
� �! = 0.002
NO FALSE POSITIVE SIGNATURE
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Outline
• Energy Transfer and Dissipation in Kinetic Plasma Turbulence
• Conservation of Energy in a Kinetic Plasma
• Diagnosing Energy Transfer from Fields to Particles
• Nonlinear Kinetic Simulations: 1D-1V Vlasov-Poisson System- Implementation- Evolution of the Distribution Function
• Field-Particle Correlations using Single-Point Measurements- Best Correlation for Numerical Simulations- Alternative Correlation for Spacecraft Observations
• Application to Strongly Turbulent Systems
• Conclusions
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Modifications for Solar Wind Turbulence
• For different damping mechanisms, form of correlation differs
• Field-particle correlations in 3V velocity space
• Or can be used with reduced distribution functions,
fks(r0, vk, t) =Rv?dv?d�fs(r0, v?1, v?2, vk, t)where
C(vk, t, ⌧) = C⌧
��fks(r0, vk, t), Ek(r0, t)
�
Landau damping C(vk, t, ⌧) = C⌧
��fks(r0, vk, t), Ek(r0, t)
�
C(v?1, v?2, vk, t, ⌧) = C⌧
��fs(r0, v?1, v?2, vk, t), Ek(r0, t)
�
Transit time damping C(vk, t, ⌧) = C⌧
��fks(r0, vk, t), �Bk(r0, t)
�
Kinetic theory can be used to derive the appropriate forms
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Applicability to Strongly Turbulent Systems
We have shown this correlation technique works for linear waves
But does it work for strongly turbulent systems?Yes!
NEXT TALK: Kris KleinSecular Field-Particle Energy Transfer
in a Turbulent Gyrokinetic System
Landau Damping Transit Time Damping
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Solar Wind Turbulence
C(v�fi(v), �Bk) C(v�fi(v), �Bk)
Preliminary work shows promising results in the solar wind
ARTEMIS data
(Halekas & Howes, in prep, 2016)
ARTEMIS data shows a resonant velocity-space signature
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Completely General Approach
• The development of this field-particle correlation techniquedid not depend on the existence of waves or turbulence
• Derived using the terms describing collisionless energy transfer in the nonlinear equations of kinetic theory
• The approach is completely general, and can be used to study any particle energization process, including- Collisionless magnetic reconnection- Particle acceleration
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Conclusions
• Introduced an innovative Field-Particle Correlation Technique
• Challenge: Measure energy transfer and damping of turbulence in weakly collisional plasmas - Must isolate small secular transfer from large oscillating transfer
- Uses single-point measurements and �fs(x0, v, t) E(x0, t)- Provides a direct measure of energy transfer rate
• Key Feature: Particle energization as a function of velocity- Velocity-space signature of the collisionless damping mechanism
- Landau damping, stochastic heating, collisionless reconnection- Can be used to distinguish different damping mechanisms
• Illustrated with Langmuir waves, but also works in magnetized turbulence: gyrokinetic simulations and solar wind turbulence
Powerful new technique to study any particle energization process in the heliosphere
FIELD-PARTICLE CORRELATIONS
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END