COSPAR 2004, Paris D1.2-0001-04 July 21, 2004 THE HELIOSPHERIC DIFFUSION TENSOR John W. Bieber University of Delaware, Bartol Research Institute, Newark.

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

Turbulent transport of magnetic fields Fausto Cattaneo Center for Magnetic Self-Organization in Laboratory and Astrophysical.
Subgrid-Scale Models – an Overview
Two-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch Rui Li, J. Bisognano, R. Legg, and R. Bosch.
THREE-DIMENSIONAL ANISOTROPIC TRANSPORT OF SOLAR ENERGETIC PARTICLES IN THE INNER HELIOSPHERE CRISM- 2011, Montpellier, 27 June – 1 July, Collaborators:
Particle acceleration in a turbulent electric field produced by 3D reconnection Marco Onofri University of Thessaloniki.
New Insights into the Acceleration and Transport of Cosmic Rays in the Galaxy or Some Simple Considerations J. R. Jokipii University of Arizona Presented.
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.
“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.
Interstellar Turbulence: Theory, Implications and Consequences Alex Lazarian ( Astronomy, Physics and CMSO ) Collaboration : H. Yan, A. Beresnyak, J. Cho,
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.
Modeling Generation and Nonlinear Evolution of VLF Waves for Space Applications W.A. Scales Center of Space Science and Engineering Research Virginia Tech.
Adnan Khan Lahore University of Management Sciences Peter Kramer Rensselaer Polytechnic Institute.
Modeling Generation and Nonlinear Evolution of Plasma Turbulence for Radiation Belt Remediation Center for Space Science & Engineering Research Virginia.
Nonlinear Evolution of Whistler Turbulence W.A. Scales, J.J. Wang, and O. Chang Center of Space Science and Engineering Research Virginia Tech L. Rudakov,
Joe Giacalone and Randy Jokipii University of Arizona
23-28 September 2003 Basic Processes in Turbulent Plasmas Forecasting asymptotic states of a Galerkin approximation of 2D MHD equations Forecasting asymptotic.
Shock Acceleration at an Interplanetary Shock: A Focused Transport Approach J. A. le Roux Institute of Geophysics & Planetary Physics University of California.
CISM SEP Modeling Background The major SEP events come from the CME-generated coronal and interplanetary shock(s) These “gradual”events can have a “prompt”
Practical Models of Solar Energetic Particle Transport Leon Kocharov Space Research Laboratory University of Turku, Finland Requirements.
Spectral analysis of non-thermal filaments in Cas A Miguel Araya D. Lomiashvili, C. Chang, M. Lyutikov, W. Cui Department of Physics, Purdue University.
Incorporating Kinetic Effects into Global Models of the Solar Wind Steven R. Cranmer Harvard-Smithsonian Center for Astrophysics.
The Injection Problem in Shock Acceleration The origin of the high-energy cosmic rays remains one of the most-important unsolved problems in astrophysics.
A Model for Emission from Microquasar Jets: Consequences of a Single Acceleration Episode We present a new model of emission from jets in Microquasars,
Physics of fusion power
Ch. 5 - Basic Definitions Specific intensity/mean intensity Flux
RF background, analysis of MTA data & implications for MICE Rikard Sandström, Geneva University MICE Collaboration Meeting – Analysis session, October.
SHINE 2008 June, 2008 Utah, USA Visit our Websites:
APS Division of Plasma Physics Nov 15-19, 2004 Savannah, Georgia TRANSPORT AND MODULATION OF COSMIC RAYS IN THE SOLAR WIND John W. Bieber Bartol Research.
Solar Modulation: A Theoretical Perspective Modeling of cosmic ray charge-sign dependence in the heliosphere Marius Potgieter Unit for Space Physics North-West.
SHINE Meeting, July 31 – August 4, 2006 Neutron Monitor Observations of the January 20, 2005 Ground Level Enhancement John W. Bieber 1, John Clem 1, Paul.
Spring 2004 AGU Meeting, Montreal SH33A-02 UNUSUAL FEATURES OF THE OCTOBER 28, 2003 GROUND LEVEL ENHANCEMENT John W. Bieber 1, Paul Evenson 1, Roger Pyle.
Interaction among cosmic Rays, waves and large scale turbulence Interaction among cosmic Rays, waves and large scale turbulence Huirong Yan Kavli Institute.
Cosmic Rays in the Heliosphere J. R. Jokipii University of Arizona I acknowledge helpful discussions with J. Kόta and J. GIacalone. Presented at the TeV.
ACKNOWLEDGMENTS This research was supported by the National Science Foundation of China (NSFC) under grants , , , the Specialized.
Recurrent Cosmic Ray Variations in József Kόta & J.R. Jokipii University of Arizona, LPL Tucson, AZ , USA 23 rd ECRS, Moscow, Russia,
Yoon kichul Department of Mechanical Engineering Seoul National University Multi-scale Heat Conduction.
02-06 Dec 2013CHPC-Cape town1 A study of the global heliospheric modulation of galactic Carbon M. D. Ngobeni, M. S. Potgieter Centre for Space Research,
Center for Space Environment Modeling Solar Energetic Particles: Acceleration and Transport in Realistic Magnetic Fields Igor.
MHD Turbulence driven by low frequency waves and reflection from inhomogeneities: Theory, simulation and application to coronal heating W H Matthaeus Bartol.
Voyager 2 Observations of Magnetic Waves due to Interstellar Pickup Ions Colin J. Joyce Charles W. Smith, Phillip A. Isenberg, Nathan A. Schwadron, Neil.
Turbulence, magnetic field complexity and perpendicular transport of energetic particles in the heliosphere W H Matthaeus Bartol Research Institute,
P. Bobik, G. Boella, M. J. Boschini, M. Gervasi, D. Grandi, K. Kudela, S. Pensotti, P.G. Rancoita 2D Stochastic Monte Carlo to evaluate the modulation.
ChE 452 Lecture 25 Non-linear Collisions 1. Background: Collision Theory Key equation Method Use molecular dynamics to simulate the collisions Integrate.
Modeling particle acceleration at CME-driven shock and transport in the inner heliosphere, A case study SHINE 2004 Bozeman, June 28, 2004 Gang Li IGPP,
G. Li(1), ‏Y. Yan(2), B. Miao (3)‏, G. Qin (4)‏ 1) Dept. of Physics and CSPAR, University of Alabama in Huntsville, AL ) Key Laboratory of Solar.
MHD Turbulence: influences on transport and acceleration of energetic particles W H Matthaeus Bartol Research Institute, University of Delaware Pablo Dmitruk.
Particle transport in the heliosphere – part 2 Gaetano Zimbardo With contributions by S. Perri, P. Pommois, P. Veltri University of Calabria, Rende, Italy.
Solar Energetic Particles (SEP’s) J. R. Jokipii LPL, University of Arizona Lecture 2.
Coronal Heating due to low frequency wave-driven turbulence W H Matthaeus Bartol Research Institute, University of Delaware Collaborators: P. Dmitruk,
MHD Turbulence driven by low frequency waves and reflection from inhomogeneities: Theory, simulation and application to coronal heating W H Matthaeus Bartol.
Electrostatic fluctuations at short scales in the solar-wind turbulent cascade. Francesco Valentini Dipartimento di Fisica and CNISM, Università della.
Turbulence in the Solar Wind
Nature, Distribution and Evolution of Solar Wind Turbulence throughout the Heliosphere W. H. Matthaeus Bartol Research Institute, University of Delaware.
Spectrum and small-scale structures in MHD turbulence Joanne Mason, CMSO/University of Chicago Stanislav Boldyrev, CMSO/University of Madison at Wisconsin.
What is the Origin of the Frequently Observed v -5 Suprathermal Charged-Particle Spectrum? J. R. Jokipii University of Arizona Presented at SHINE, Zermatt,
1 Test Particle Simulations of Solar Energetic Particle Propagation for Space Weather Mike Marsh, S. Dalla, J. Kelly & T. Laitinen University of Central.
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
Presenter: Paul Evenson
Chapter 3 Plasma as fluids
Third-Moment Descriptions of the Interplanetary Turbulent Cascade, Intermittency, and Back Transfer Bernard J. Vasquez1, Jesse T. Coburn1,2, Miriam A.
Modeling the SEP/ESP Event of December 13, 2006
Solar Flare Energy Partition into Energetic Particle Acceleration
Student Day Working Group III summary
Heavy-Ion Acceleration and Self-Generated Waves in Coronal Shocks
Jakobus le Roux (1,2) & Gary Webb (1)
International Workshop
Presentation transcript:

COSPAR 2004, Paris D July 21, 2004 THE HELIOSPHERIC DIFFUSION TENSOR John W. Bieber University of Delaware, Bartol Research Institute, Newark Supported by NSF grant ATM Collaborators: W. H. Matthaeus, G. Qin, A. Shalchi Visit our Website:

PARKER’S TRANSPORT EQUATION

DIFFERENT ASPECTS OF DIFFUSION

Advances in Heliospheric Turbulence

Turbulence Dissipation Range At frequency (ν) ~ 1 Hz, magnetic power spectrum steepens from inertial range value (ν -5/3 ) to dissipation range value of ν -3 or steeper Important for low- rigidity electrons (<30 MeV) Figure adapted from Leamon et al., JGR, Vol 103, p 4775, 1998.

Advances in Heliospheric Turbulence Turbulence is inherently dynamic Cosmic ray studies often employ a magnetostatic approximation, but dynamical effects may be important at low rigidities and near 90 o pitch angle, where ordinary resonant scattering is weak.

PARALLEL DIFFUSION Geometry resolves discrepancy at intermediate- high rigidity Dissipation explains high electron mean free paths at low rigidity Pickup ions still a puzzle

PERPENDICULAR DIFFUSION Key Elements Particle follows random walk of field lines (FLRW limit: K ┴ = (V/2) D ┴ ) Particle backscatters via parallel diffusion and retraces it path (leads to subdiffusion in slab turbulence) Retraced path varies from original owing to perpendicular structure of turbulence, permitting true diffusion

NONLINEAR GUIDING CENTER (NLGC) THEORY OF PERPENDICULAR DIFFUSION Begin with Taylor-Green-Kubo formula for diffusion Key assumption: perpendicular diffusion is controlled by the motion of the particle guiding centers. Replace the single particle orbit velocity in TGK by the effective velocity TGK becomes

NLGC THEORY OF PERPENDICULAR DIFFUSION 2 Simplify 4 th order to 2 nd order (ignore v-b correlations: e.g., for isotropic distribution…) Special case: parallel velocity is constant and a=1, recover QLT/FLRW perpendicular diffusion. (Jokipii, 1966) Model parallel velocity correlation in a simple way: 

NLGC THEORY OF PERPENDICULAR DIFFUSION 3 Corrsin independence approximation Or, in terms of the spectral tensor The perpendicular diffusion coefficient becomes

NLGC THEORY OF PERPENDICULAR DIFFUSION 4 “Characteristic function” – here assume Gaussian, diffusion probability distribution After this elementary integral, we arrive at a fairly general implicit equation for the perpendicular diffusion coefficient

NLGC THEORY OF PERPENDICULAR DIFFUSION 5 The perpendicular diffusion coefficient is determined by To compute Kxx numerically we adopt particular 2-component, 2D - slab spectra These solutions are compared with direct determination of Kxx from a large number of numerically computed particle trajectories in realizations of random magnetic field models. We find very good agreement for a wide range of parameters. and solve

NLGC Theory: λ ║ Governs λ ┴ where

APPROXIMATIONS AND ASYMPTOTIC FORMS NLGC integral can be expressed in terms of hypergeometric functions; though not a closed form solution for λ ┴, this permits development of useful approximations and asymptotic forms. Figure adapted from Shalchi et al. (2004), Astrophys. J., 604, 675. See also Zank et al. (2004), J. Geophys. Res., 109, A04107, doi: /2003JA

NLGC Agrees with Numerical Simulations

NLGC AGREES WITH OBSERVATION Ulysses observations of Galactic protons indicate λ ┴ has a very weak rigidity dependence (Data from Burger et al. (2000), JGR, 105, ) Jovian electron result decisively favors NLGC (Data from Chenette et al. (1977), Astrophys. J. (Lett.), 215, L95.)

A COUPLED THEORY OF λ ┴ AND λ ║ (MORE FUN WITH NONLINEAR METHODS)

WEAKLY NONLINEAR THEORY (WNLT) OF PARTICLE DIFFUSION λ ║ and λ ┴ are coupled: λ ║ = λ ║ (λ ║, λ ┴ ); λ ┴ = λ ┴ (λ ║, λ ┴ ) Nonlinear effect of 2D turbulence is important: λ ║ ~ P 0.6, in agreement with simulations λ ┴ displays slightly better agreement with simulations than NLGC λ ┴ / λ ║ ~ 0.01 – 0.04 Figures adapted from Shalchi et al. (2004), Astrophys. J., submitted.

TURBULENCE TRANSPORT THEORY → TURBULENCE PARAMETERS THROUGHOUT HELIOSPHERE Energy Temperature Correlation Length Cross Helicity

SUMMARY Major advances in our understanding of particle diffusion in the heliosphere have resulted from: Improved understanding of turbulence: geometry (especially), dissipation range, dynamical turbulence Nonlinear methods in scattering theory (NLGC, WNLT) Improvements in turbulence transport theory