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Turbulent Heating in Goldreich-Sridhar Shear Alfven Cascade

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Title: Turbulent Heating in Goldreich-Sridhar Shear Alfven Cascade


1
Turbulent Heating in Goldreich-Sridhar Shear
Alfven Cascade
W Dorland Univ of Maryland with S C
Cowley Imperial Coll London E Quataert UC
Berkeley G W Hammett Princeton Univ
Chandras view of central region of Milky Way in
X-rays
2
Project Overview
  • Important MHD turbulence exists
  • E.g., MRI turns gravitational potential energy
    into magnetic field and electromagnetic
    turbulence via unstable flows. Other examples
    solar wind, scintillations in interstellar medium

3
Project Overview
  • Important MHD turbulence exists
  • E.g., MRI turns gravitational potential energy
    into magnetic field and electromagnetic
    turbulence via unstable flows. Other examples
    solar wind, scintillations in interstellar medium
  • Alfvenic turbulence does not directly heat gas

4
Project Overview
  • Important MHD turbulence exists
  • E.g., MRI turns gravitational potential energy
    into magnetic field and electromagnetic
    turbulence via unstable flows. Other examples
    solar wind, scintillations in interstellar medium
  • Alfvenic turbulence does not directly heat gas
  • Observable emission dominated by electron
    synchrotron radiation if electron component of
    plasma is sig. heated

5
Project Overview
  • Important MHD turbulence exists
  • E.g., MRI turns gravitational potential energy
    into magnetic field and electromagnetic
    turbulence via unstable flows. Other examples
    solar wind, scintillations in interstellar medium
  • Alfvenic turbulence does not directly heat gas
  • Observable emission dominated by electron
    synchrotron radiation if electron component of
    plasma is sig. heated
  • Observations suggest electron heating is very
    weak, or accretion rate is very low, or both

6
Project Overview
  • Important MHD turbulence exists
  • E.g., MRI turns gravitational potential energy
    into magnetic field and electromagnetic
    turbulence via unstable flows. Other examples
    solar wind, scintillations in interstellar medium
  • Alfvenic turbulence does not directly heat gas
  • Observable emission dominated by electron
    synchrotron radiation if electron component of
    plasma is sig. heated
  • Observations suggest electron heating is very
    weak, or accretion rate is very low, or both
  • Here
  • Calculating relative heating of ions and
    electrons from Alfvenic turbulence, using
    first-principles, nonlinear, gyrokinetic
    simulations of the tail of Goldreich-Sridhar
    cascade

7
Incompressible MHD Turbulence
  • View as nonlinear interactions btw. oppositely
    directed Alfven waves (e.g., Kraichnan 1965)

8
Incompressible MHD Turbulence
  • View as nonlinear interactions btw. oppositely
    directed Alfven waves (e.g., Kraichnan 1965)
  • Consider weak turbulence, where nonlinear time gtgt
    linear time (e.g., Shebalin et al. 1983)

9
Incompressible MHD Turbulence
  • View as nonlinear interactions btw. oppositely
    directed Alfven waves (e.g., Kraichnan 1965)
  • Consider weak turbulence, where nonlinear time gtgt
    linear time (e.g., Shebalin et al. 1983)
  • k cannot increase (true for 4-waves as well)

10
Incompressible MHD Turbulence
  • View as nonlinear interactions btw. oppositely
    directed Alfven waves (e.g., Kraichnan 1965)
  • Consider weak turbulence, where nonlinear time gtgt
    linear time (e.g., Shebalin et al. 1983)
  • k cannot increase (true for 4-waves as well)
  • Turbulence is anisotropic Energy cascades
    perpendicular to local magnetic field

11
Strong MHD Turbulence(Goldreich Sridhar 1995)
  • Perpendicular cascade becomes more more
    nonlinear

12
Strong MHD Turbulence(Goldreich Sridhar 1995)
  • Perpendicular cascade becomes more more
    nonlinear
  • Hypothesize critical balance linear time
    nonlinear time

13
Strong MHD Turbulence(Goldreich Sridhar 1995)
  • Perpendicular cascade becomes more more
    nonlinear
  • Hypothesize critical balance linear time
    nonlinear time
  • Anisotropic Kolmogorov cascade

14
Strong MHD Turbulence(Goldreich Sridhar 1995)
  • Perpendicular cascade becomes more more
    nonlinear
  • Hypothesize critical balance linear time
    nonlinear time
  • Anisotropic Kolmogorov cascade
  • More more anisotropic on small scales

15
Goldreich-Sridhar ? Gyrokinetics
16
Nonlinear Gyrokinetic Equations
Gyrokinetic equations describe small scale
turbulence in magnetized plasma written down
from 1978-1982
17
Nonlinear Gyrokinetic Equations
Gyrokinetic equations describe small scale
turbulence in magnetized plasma written down
from 1978-1982 Equations describe
self-consistent evolution of 5-dimensional distrib
ution functions (one for each plasma species) in
time
hhs(x, y, z, e, m t)
18
Nonlinear Gyrokinetic Equations
Gyrokinetic equations describe small scale
turbulence in magnetized plasma written down
from 1978-1982 Equations describe
self-consistent evolution of 5-dimensional distrib
ution functions (one for each plasma species) in
time
hhs(x, y, z, e, m t)
19
Nonlinear Gyrokinetic Equations
Gyrokinetic equations describe small scale
turbulence in magnetized plasma written down
from 1978-1982 Equations describe
self-consistent evolution of 5-dimensional distrib
ution functions (one for each plasma species) in
time
hhs(x, y, z, e, m t)
Plus Maxwells Eqs to get gyro-averaged potential
20
Bessel functions represent averaging around
particle gyro-orbit
21
Bessel functions represent averaging around
particle gyro-orbit
Reduces dimension of phase space from six to five
at expense of strict locality and removes
extraneous high frequency waves w gt W
excluded
22
Project Strategy
  • Mimic larger scale turbulence with Langevin
    antenna
  • Allows arbitrarily chosen spectrum of driven
    wavenumbers

23
Project Strategy
  • Mimic larger scale turbulence with Langevin
    antenna
  • Allows arbitrarily chosen spectrum of driven
    wavenumbers
  • Amplitude at a given k determined by Langevin
    equation e.g, frequency wk kz vA with
    decorrelation time t

24
Project Strategy
  • Mimic larger scale turbulence with Langevin
    antenna
  • Allows arbitrarily chosen spectrum of driven
    wavenumbers
  • Amplitude at a given k determined by Langevin
    equation e.g, frequency wk kz vA with
    decorrelation time t
  • Check that GK code recovers MHD (GS) results

25
Project Strategy
  • Mimic larger scale turbulence with Langevin
    antenna
  • Allows arbitrarily chosen spectrum of driven
    wavenumbers
  • Amplitude at a given k determined by Langevin
    equation e.g, frequency wk kz vA with
    decorrelation time t
  • Check that GK code recovers MHD (GS) results
  • Check that damping is correctly recovered, esp.
    with resolution of typical nonlinear simulation

26
Project Strategy
  • Mimic larger scale turbulence with Langevin
    antenna
  • Allows arbitrarily chosen spectrum of driven
    wavenumbers
  • Amplitude at a given k determined by Langevin
    equation e.g, frequency wk kz vA with
    decorrelation time t
  • Check that GK code recovers MHD (GS) results
  • Check that damping is correctly recovered, esp.
    with resolution of typical nonlinear simulation
  • Do simulations for a range of b and Ti/Te and a
    range of spatial scales

27
GK Code Recovers MHD (GS) Results

Max kx, ky
Non-white noise Stirring DwNL w0 wAlfven
k4 hyperviscosity scaled by shearing rate
  • Simulate turbulence in a box gtgt ri, negligible
    gyro effects.
  • Reproduces MHD results (Goldreich-Sridhar)
  • Kolmogorov power spectrum and anisotropy

b 8 (800). xyzEnergy(Vpar/V )
50501001220
28
GK Code Recovers Kinetic Damping
  • Use antenna with chirped frequency to excite wave
  • Lorentzian response gives real frequency and
    kinetic damping rate

29
GK Code Recovers Kinetic Damping
  • Weakly damped modes at long wavelengths
  • Strongly damped modes at short wavelengths
  • This is the essential wave-particle interaction

30
GK Code Recovers Kinetic Waves
  • Shear Alfven waves at long wavelength
  • Transition to kinetic Alfven waves as ions are
    demagnetized
  • GK code agrees well with linear theory

31
GK Code Recovers Kinetic Damping
  • Weakly damped modes at long wavelengths
  • Strongly damped modes at short wavelengths
  • This is the essential wave-particle interaction
    that determines turbulent heating rates

32
Numerical Distortions Small
  • Turbulence runs use implicitness in space and
    time for parallel dynamics
  • Distortions of linear waves small even for fully
    implicit dynamics, typical time step

33
Wide Range of Wavelengths Resolved
  • Turbulence runs require simultaneous resolution
    of wide range of scales
  • Little distortion of waves introduced by parallel
    grid
  • (Perpendicular dynamics are treated
    pseudo-spectrally)

34
Weak Collisions Dont Distort Dynamics
  • Velocity-space diffusion needed to prevent
    velocity-space echoes, severe distortion of
    dynamics
  • GK code uses realistic pitch-angle scattering
    collision operator
  • Wide range of collisionalities for which dynamics
    are essentially collisionless

35
Summary of Progress to Date
  • Massively parallel nonlinear gyrokinetic code
    developed (GS2)

36
Summary of Progress to Date
  • Massively parallel nonlinear gyrokinetic code
    developed (GS2)
  • GS2 recovers nonlinear MHD results at long
    wavelengths

37
Summary of Progress to Date
  • Massively parallel nonlinear gyrokinetic code
    developed (GS2)
  • GS2 recovers nonlinear MHD results at long
    wavelengths
  • GS2 accurately describes Landau and transit-time
    (Barnes) damping, over wide range of beta and
    temperature ratios

38
Summary of Progress to Date
  • Massively parallel nonlinear gyrokinetic code
    developed (GS2)
  • GS2 recovers nonlinear MHD results at long
    wavelengths
  • GS2 accurately describes Landau and transit-time
    (Barnes) damping, over wide range of beta and
    temperature ratios
  • Ready to finish project as soon as a few
    additional diagnostics are installed and tested.
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