Turbulence in the Solar Wind

Slides:



Advertisements
Similar presentations
Statistical Properties of Broadband Magnetic Turbulence in the Reversed Field Pinch John Sarff D. Craig, L. Frassinetti 1, L. Marrelli 1, P. Martin 1,
Advertisements

Experimental tasks Spectra Extend to small scale; wavenumber dependence (Taylor hyp.); density, flow Verify existence of inertial range Determine if decorrelation.
SOLAR WIND TURBULENCE; WAVE DISSIPATION AT ELECTRON SCALE WAVELENGTHS S. Peter Gary Space Science Institute Boulder, CO Meeting on Solar Wind Turbulence.
Electron Acceleration in the Van Allen Radiation Belts by Fast Magnetosonic Waves Richard B. Horne 1 R. M. Thorne 2, S. A. Glauert 1, N. P. Meredith 1.
A REVIEW OF WHISTLER TURBULENCE BY THREE- DIMENSIONAL PIC SIMULATIONS A REVIEW OF WHISTLER TURBULENCE BY THREE- DIMENSIONAL PIC SIMULATIONS S. Peter Gary,
Turbulent Heating of the Solar Wind at 1 AU Benjamin T. MacBride 1, Miriam A. Forman 2, and Charles W. Smith 1 1 Physics Department, University of New.
Third moment in MHD SHINE 2006 Miriam Forman 1 Third moment of MHD fluctuations: a new interpretation for anisotropic turbulence in the solar wind… and.
Alfvénic turbulence at ion kinetic scales Yuriy Voitenko Solar-Terrestrial Centre of Excellence, BIRA-IASB, Brussels, Belgium Recent results obtained in.
Low-Frequency Waves Excited by Newborn Interstellar Pickup Ions H + and He + at 4.5 AU Charles W. Smith, Colin J. Joyce, Philip A. Isenberg, Neil Murphy,
Inner Source Pickup Ions Pran Mukherjee. Outline Introduction Current theories and work Addition of new velocity components Summary Questions.
混合模拟 基本方程与无量纲化 基本方程. 无量纲化 方程化为 一些基本关系式 Bow shock and magnetosheath.
Non-Resonant Quasilinear Theory Non-Resonant Theory.
“Physics at the End of the Galactic Cosmic-Ray Spectrum” Aspen, CO 4/28/05 Diffusive Shock Acceleration of High-Energy Cosmic Rays The origin of the very-highest-energy.
Alfvén-cyclotron wave mode structure: linear and nonlinear behavior J. A. Araneda 1, H. Astudillo 1, and E. Marsch 2 1 Departamento de Física, Universidad.
The Acceleration of Anomalous Cosmic Rays by the Heliospheric Termination Shock J. A. le Roux, V. Florinski, N. V. Pogorelov, & G. P. Zank Dept. of Physics.
Nanoflares and MHD turbulence in Coronal Loop: a Hybrid Shell Model Giuseppina Nigro, F.Malara, V.Carbone, P.Veltri Dipartimento di Fisica Università della.
Magnetohydrodynamic waves
Solar Flare Particle Heating via low-beta Reconnection Dietmar Krauss-Varban & Brian T. Welsch Space Sciences Laboratory UC Berkeley Reconnection Workshop.
Heavy ion spectral breaks in large SEP events LWS Team Meeting CIT, Pasadena, CA Jan 10 th -11 th, 2008 Gang Li.
Joe Giacalone and Randy Jokipii University of Arizona
Strong nonresonant amplification of magnetic fields in particle accelerating shocks A. E. Vladimirov, D. C. Ellison, A. M. Bykov Submitted to ApJL.
Shock Acceleration at an Interplanetary Shock: A Focused Transport Approach J. A. le Roux Institute of Geophysics & Planetary Physics University of California.
Incorporating Kinetic Effects into Global Models of the Solar Wind Steven R. Cranmer Harvard-Smithsonian Center for Astrophysics.
Non-collisional ion heating and Magnetic Turbulence in MST Abdulgader Almagri On behalf of MST Team RFP Workshop Padova, Italy April 2010.
Interplanetary Scintillations and the Acceleration of the Solar Wind Steven R. Spangler …. University of Iowa.
The turbulent cascade in the solar wind Luca Sorriso-Valvo LICRYL – IPCF/CNR, Rende, Italy R. Marino, V. Carbone, R. Bruno, P. Veltri,
Waves, structures and turbulences Fluctuations: scales and parameters Magnetohydrodynamic waves Structures and Alfvénic fluctuations Turbulence spectra.
Converging Ideas!!.  Great discussion led by the 4 invited speakers  Chuck Smith – Observational challenges  Ben Chandran – Theoretical questions &
Semi-Empirical MHD Modeling of the Solar Wind Igor V. Sokolov, Ofer Cohen, Tamas I. Gombosi CSEM, University of Michigan Ilia I Roussev, Institute for.
R. Oran csem.engin.umich.edu SHINE 09 May 2005 Campaign Event: Introducing Turbulence Rona Oran Igor V. Sokolov Richard Frazin Ward Manchester Tamas I.
NSO Summer School Lecture 1: Solar Wind Structure and Waves Charles W. Smith Space Science Center University of New Hampshire
The energetics of the slow solar wind Leon Ofman, Catholic University of America, NASA GSFC, Code 612.1, Greenbelt, MD 20771, USA
Cusp turbulence as revealed by POLAR magnetic field data E. Yordanova Uppsala, November, 2005.
Large-Amplitude Electric Fields Associated with Bursty Bulk Flow Braking in the Earth’s Plasma Sheet R. E. Ergun et al., JGR (2014) Speaker: Zhao Duo.
SEP Acceleration C.M.S. Cohen Caltech. Outline Shock acceleration in the IPM –ESP events –Observations vs theory –Observations driving theory Flare acceleration.
Voyager 2 Observations of Magnetic Waves due to Interstellar Pickup Ions Colin J. Joyce Charles W. Smith, Phillip A. Isenberg, Nathan A. Schwadron, Neil.
1 20 January 2005: Session Summary SHINE 2006 Zermatt, Utah, 31 July - 4 August Invited Talks Riley: what was the Alfven speed in the corona at.
What Do We Know About MHD Turbulence?
COSPAR 2004, Paris D July 21, 2004 THE HELIOSPHERIC DIFFUSION TENSOR John W. Bieber University of Delaware, Bartol Research Institute, Newark.
Kinetic Alfvén turbulence driven by MHD turbulent cascade Yuriy Voitenko & Space Physics team Belgian Institute for Space Aeronomy, Brussels, Belgium.
NSO Summer School Lecture 1: Solar Wind Structure and Waves Charles W. Smith Space Science Center University of New Hampshire
Intermittency Analysis and Spatial Dependence of Magnetic Field Disturbances in the Fast Solar Wind Sunny W. Y. Tam 1 and Ya-Hui Yang 2 1 Institute of.
-1- Solar wind turbulence from radio occultation data Chashei, I.V. Lebedev Physical Institute, Moscow, Russia Efimov, A.I., Institute of Radio Engineering.
Plasma Heating and Particle Acceleration by Turbulence in Solar Flares Siming Liu Stanford University In collaboration with Vahé Petrosian, Yanwei Jiang,
1 ESS200C Pulsations and Waves Lecture Magnetic Pulsations The field lines of the Earth vibrate at different frequencies. The energy for these vibrations.
MHD Turbulence: influences on transport and acceleration of energetic particles W H Matthaeus Bartol Research Institute, University of Delaware Pablo Dmitruk.
NSO Summer School Lecture 2: Solar Wind Turbulence Charles W. Smith Space Science Center University of New Hampshire
Solar Energetic Particles (SEP’s) J. R. Jokipii LPL, University of Arizona Lecture 2.
Stuart D. BaleFIELDS SOC CDR – Science Requirements Solar Probe Plus FIELDS SOC CDR Science and Instrument Overview Science Requirements Stuart D. Bale.
Coronal Heating due to low frequency wave-driven turbulence W H Matthaeus Bartol Research Institute, University of Delaware Collaborators: P. Dmitruk,
Probing Turbulence At and Near CME-driven shocks Using Energetic Particle Spectra Living with a Star Team meeting Sep 18th, 2008 Pasadena, CA Gang Li From.
Electrostatic fluctuations at short scales in the solar-wind turbulent cascade. Francesco Valentini Dipartimento di Fisica and CNISM, Università della.
Nature, Distribution and Evolution of Solar Wind Turbulence throughout the Heliosphere W. H. Matthaeus Bartol Research Institute, University of Delaware.
What is the Origin of the Frequently Observed v -5 Suprathermal Charged-Particle Spectrum? J. R. Jokipii University of Arizona Presented at SHINE, Zermatt,
Exploring reconnection, current sheets, and dissipation in a laboratory MHD turbulence experiment David Schaffner Bryn Mawr College Magnetic Reconnection:
How can we measure turbulent microscales in the Interstellar Medium? Steven R. Spangler, University of Iowa.
Particle spectra at CME-driven shocks and upstream turbulence SHINE 2006 Zermatt, Utah August 3rd Gang Li, G. P. Zank and Qiang Hu Institute of Geophysics.
Generation of anisotropic turbulence in drifting proton-alpha plasmas Yana Maneva, S. Poedts CmPA, KU Leuven In collaboration with: A. Viñas and L. Ofman.
Observations from 1 to 6 AU of Low-Frequency Magnetic Waves due to Newborn Interstellar Pickup Ions Using Ulysses, Voyager and ACE Data Charles W. Smith,
Nature, Distribution and Evolution of Solar Wind Turbulence throughout the Heliosphere W. H. Matthaeus Bartol Research Institute, University of Delaware.
An overview of turbulent transport in tokamaks
Third-Moment Descriptions of the Interplanetary Turbulent Cascade, Intermittency, and Back Transfer Bernard J. Vasquez1, Jesse T. Coburn1,2, Miriam A.
Munetoshi Tokumaru (ISEE, Nagoya University)
Steven R. Spangler University of Iowa
In situ particle detection
Observations of Magnetic Waves in the Voyager Data Set Marios Socrates Dimitriadis, Charles Smith Introduction Solar wind consists of highly energetic.
Heavy-Ion Acceleration and Self-Generated Waves in Coronal Shocks
B. J. Vasquez, P. Aggarwal, M. R. Argall, L. F. Burlaga, M. Bzowski, B
Correlation Scales of the Turbulent Cascade at 1 AU Charles W
Electron Acoustic Waves (EAW) EAW’s are novel kinetic waves that exist only because nonlinear trapping turns off Landau damping. We recently provided.
Presentation transcript:

Turbulence in the Solar Wind Charles W. Smith with S. Dasso, R.J. Leamon, M.A. Forman, K. Hamilton, P.A. Isenberg, B.T. MacBride, W.H. Matthaeus, J.D. Richardson, J. Tessein, B.J. Vasquez and G.P. Zank

Interplanetary Turbulence Spectrum f -1 “energy containing range” f -5/3 “inertial range” The inertial range is a pipeline for transporting magnetic energy from the large scales to the small scales where dissipation can occur. Magnetic Power f -3 “dissipation range” Few hours 0.5 Hz

Why Turbulence? Ultimate dynamics of the solar wind if left to its own devices. Sets the rate of solar wind heating. Partial responsibility for the manner of heating. Controls the distribution of energy in spectrum. Builds/destroys correlations responsible for charged particle scattering. Dictates transverse magnetic fluctuations. Directs wave vector away from field-alignment.

Solar Wind Heating Observations of TP In the range 0.3 < R < 1.0 AU, Helios observations demonstrate the following: For VSW < 300 km/s, T ~ R -1.3  0.13 300 < VSW < 400 km/s, T ~ R -1.2  0.09 400 < VSW < 500 km/s, T ~ R -1.0  0.10 500 < VSW < 600 km/s, T ~ R -0.8  0.10 600 < VSW < 700 km/s, T ~ R -0.8  0.09 700 < VSW < 800 km/s, T ~ R -0.8  0.17 We need to back out the heating rate as a point of comparison for inferred heating rates at 1 AU. This involves solving an equation like: Observations of TP Approx. adiabatic prediction Adiabatic expansion yields T ~ R-4/3. Low speed wind expands without in situ heating!? High speed wind is heated as it expands. Low-speed results have been corrected once in situ acceleration was considered.

Explaining the Heating Rate   ~ u3/l f -1 “energy containing range” f -5/3 “inertial range” The inertial range is a pipeline for transporting magnetic energy from the large scales to the small scales where dissipation can occur. Magnetic Power f -3 “dissipation range” Few hours 0.5 Hz

Supply-Side Heating Theory full bisphere % bisphere bisphere with pickup ions Supply-Side Heating Theory Non-adiabatic expansion Voyager 2 observations Turbulent heating model T / TS = (V / <V>)  3 – 2 Richardson & Smith, GRL, 30, 1206 (2003) Z± = v ± b are Elsasser variables. is the similarity scale = correlation length. T = proton temperature. A = 1.1 C = 1.8 = 1 =  Constrained by symmetry, Taylor-Karman local phenom., and solar wind conditions. Zhou and Matthaeus, JGR, 95, 10,291 (1990); Zank et al., JGR, 101, 17,093 (1996); Matthaeus et al., PRL, 82, 3444 (1999); Smith et al., JGR, 106, 8253 (2001); Smith et al., ApJ, 638, 508 (2006)

Inertial Range Cascade 0.5 Hz The inertial range is a pipeline for transporting magnetic energy from the large scales to the small scales where dissipation can occur. f -1 “energy containing range” f -5/3 “inertial range” f -3 “dissipation range” Few hours Magnetic Power

Energy Cascade Rate The rate large-scale structures drive the turbulence  The rate of energy cascade through the inertial range.  The rate of energy dissipation in the dissipation range. The rate of turbulent heating of the background plasma. At 1 AU <> ~3 x 103 Joules/kg-s

Inertial Range Characteristics Strong correlation between V and B. Signature of outward propagation. Fluctuations perpendicular to the mean B0. Large variance anisotropy (B/B > 1) Signature of largely noncompressive fluctuations Wave vectors both parallel and perpendicular to B0 As shown by Matthaeus et al. and Dasso et al. 5/3 power law index (Kolmogorov)

Inertial Range Characteristics Strong correlation between V and B. Signature of outward propagation. Milano et al., PRL, 93, 2004.

Inertial Range Characteristics NIMHD and WCMHD theories seem to imply a -scaling to the variance anisotropy. This represents balance between excitation and dissipation of compressive component. Fluctuations perpendicular to the mean B0. Large variance anisotropy (B2/B2 > 1) Signature of largely noncompressive fluctuations Smith et al., JGR, in press (2006)

Inertial Range Characteristics Dasso et al., ApJ, 635, L181-184, 2005. Slow wind is 2D Fast wind is 1D Matthaeus et al., JGR, 95, 20,673, 1990. Wave vectors parallel and perpendicular to B0 As shown by Matthaeus et al. and Dasso et al.

Inertial Range Characteristics To apply the Kolmogorov formula [Leamon et al. (1999)]: Pk = CK 2/3 k5/3 Fit the measured spectrum to obtain “weight” for the result Not all spectra are -5/3! I assume they are! Use fit power at whatever frequency (I use ~10 mHz) Convert P(f) → P(k) using VSW Convert B2 → V2 using VA via (V2 = B2/4) Allow for unmeasured velocity spectrum (RA = ½) Convert 1-D unidirectional spectrum into omnidirectional spectrum  = (2/VSW) [(1+RA) (5/3) PfB (VA/B0)2 / CK ]3/2 f5/2 Leamon et al., J. Geophys. Res., 104, 22331 (1999) 0.5 Hz f -1 “energy containing range” f -5/3 “inertial range” f -3 “dissipation range” Few hours Magnetic Power 5/3 power law index (Kolmogorov)

Beware! Kolmogorov spectral prediction yields . If the fluid is turbulent! A static spectrum could yield a completely irrelevant prediction having nothing to do with anything. Kolmogorov structure function prediction measures the strength of the nonlinear terms. Only verification of an active turbulent cascade. Politano and Pouquet (1998) extended structure function ideas to MHD. We have recently applied these ideas to the solar wind at 1 AU. See talk by Forman and poster by MacBride.

Energy and Dissipation Rates Cascade & dissipation rate is sufficient to dissipate the inertial range in 3-5 days and equilibrate outward and inward propagating waves. Power spectrum derivation of  ~ 104 Joules/kg-s See Forman et al talk, this session. See MacBride et al. poster, this meeting.

The Dissipation Range f -1 “energy containing range” f -5/3 0.5 Hz If the inertial range is a pipeline, the dissipation range consumes the energy at the end of the process. f -1 “energy containing range” f -5/3 “inertial range” f -3 “dissipation range” Few hours Magnetic Power Spectral steepening with dissipation Inertial range spectrum ~ 5/3 Ion Inertial Scale

Leamon Found: Dissipation range spectrum highly variable. Hamilton et al., unpublished. Dissipation range spectrum highly variable. Dissipation range has smaller variance anisotropy than inertial range. Compressive component more important. Quasi-perpendicular wave vectors are more aggressively damped than parallel vectors. Cyclotron resonances is responsible for ½  2/3 of energy dissipation.

Transition to Dissipation Traditional fluid turbulence requires: Results from processes contained within the fluid approximation. Onset of dissipation scales with  ~ (3/)1/4. Dissipation range spectrum is universal F(k). The solar wind is not a traditional fluid! Dissipation results from the breakdown of the single fluid theory. At scales like (some number of) ion inertial scales. Smith et al., ApJ, 645, L85, 2006.

Summary Large-scale drivers of the turbulent cascade is able to account for the rate of heating the solar wind. Issues with the rates determined from the inertial range. Dissipation rate suggests that inertial range observations arise in situ. Variance anisotropy scales with plasma . Compressive component must be explainable via excitation/decay processes buried within turbulence. Maybe maintaining association with initial conditions… Onset of dissipation results from breakdown of fluid theory. Cyclotron damping is only part of the story. Most aggressive dissipation acts on the perpendicular wave vectors. Dissipation range spectrum depends on the rate of cascade. More compressive than inertial range. More aggressive dissipation of k  B0.

Extra Slides

V & B Variation with VSW

Basic Solar Wind Scalings

Leamon Found: Dissipation range spectrum highly variable. Dissipation range has smaller variance anisotropy than inertial range. Compressive component more important. Quasi-perpendicular wave vectors are more aggressively damped than parallel vectors. Cyclotron resonances is responsible for ½  2/3 of energy dissipation.

Non-Cyclotron Resonance Leamon et al., ApJ, 507, L181-184, 1998.