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![Page 1: 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.](https://reader036.fdocuments.us/reader036/viewer/2022070415/56649e6a5503460f94b67ff6/html5/thumbnails/1.jpg)
APS Division of Plasma Physics Nov 15-19, 2004 Savannah, Georgia
TRANSPORT AND MODULATIONOF COSMIC RAYS IN THE SOLAR WIND
John W. Bieber
Bartol Research Institute, University of Delaware, Newark
Supported by NSF grant ATM-0000315
Visit our Website:http://www.bartol.udel.edu/~NeutronM/
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A LONG-STANDING PUZZLE:
HOW DO ENERGETIC CHARGED PARTICLES SCATTER AND
DIFFUSE IN THE SOLAR WIND?
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TRANSPORT OF ENERGETIC PARTICLES IN THE SOLAR WIND: SOLAR COSMIC RAYS
The plot shows traces recorded by neutron monitors viewing in different directions.
Why do the solar particles start out anisotropic, then become increasingly isotropic?
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TRANSPORT OF ENERGETIC PARTICLES IN THE SOLAR WIND: SOLAR MODULATION
Solar modulation refers to the influence the Sun exerts upon the intensity of Galactic cosmic rays. As solar activity rises (top), the cosmic rays decrease (bottom).
What links solar activity to Galactic cosmic rays?
This plot is updated regularly and is available at http://www.bartol.udel.edu/~NeutronM/modplot.html
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TRANSPORT OF ENERGETIC PARTICLES IN THE SOLAR WIND: JOVIAN ELECTRONS
Jovian electrons are injected onto the Sun-Jupiter field line.
How do they migrate to other field lines?Data from Chenette et al., Astrophys. J. Lett., L95-L99, 1977.
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ADVANCES IN PARTICLE TRANSPORT THEORY
RECENT ADVANCES HAVE RESULTED IN PART FROM
IMPROVED UNDERSTANDING OF TURULENCE IN THE SOLAR WIND,
ESPECIALLY TURBULENCE GEOMETRY
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DIFFERENT ASPECTS OF DIFFUSION
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PARALLEL SCATTERING IN THE QUASILINEAR LIMIT
Particles resonate with parallel wave modes having wavenumber kRES:
Fokker-Planck coefficient Φ(μ) is related to power spectrum Pxx(k) evaluated at kRES
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PARALLEL MEAN FREE PATHAND DIFFUSION COEFFICIENT
A Rule of Thumb:
(where δBX2 includes only slab mode turbulence)
NB: For Kolmogoroff (k -5/3) spectrum λ║ ~ (Rigidity)1/3
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Advances in Heliospheric Turbulence Turbulence Geometry
Slab Geometry: Wavevectors k parallel to mean field B0. Fluctuating field δB perpendicular to B0.
Motivations: Parallel propagating Alfvén waves. Computational simplicity. 2D Geometry: k and δB both perpendicular to B0.
Motivations: “Structures.” Turbulence theory. Laboratory experiments. Numerical simulations. Solar wind observations.
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TWO-COMPONENT TURBULENCE
AND THE “MALTESE CROSS” 2-dimensional correlation
functions are displayed as contour and surface plots.
Pure slab: correlations decay only parallel to the mean magnetic field.
2D/Slab: correlation contours decay in all directions
Solar wind1: Observed contours resemble “Maltese cross” similar to 2D/slab
(1) Adapted from Matthaeus, Goldstein, & Roberts, JGR, 95, 20673, 1990.
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PARALLEL SCATTERING AND OBSERVATIONS
• For a long time, QLT was disrespected because the slab model prediction disagreed spectacularly with observations …
• ... but actually QLT works pretty well when the geometry of the turbulence is taken into account.
• Reason: Resonant pitch angle scattering is maximum for slab geometry (because wavevectors are aligned with axis of particle orbit), but is exactly zero! for 2D geometry in the quasilinear limit.
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ADVANCES IN PARTICLE TRANSPORT THEORY
RECENT ADVANCES HAVE ALSO RESULTED FROM THE USE OF
NONLINEAR METHODS
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PERPENDICULAR DIFFUSIONKey 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
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NONLINEAR GUIDING CENTER (NLGC) THEORY OF PERPENDICULAR DIFFUSION[Matthaeus et al., Astrophys. J. (Lett.), 590, L53-L56, 2003]
• 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
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NLGC THEORY OF PERPENDICULAR DIFFUSION 2
• Simplify 4th order to 2nd 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:
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NLGC THEORY OF PERPENDICULAR DIFFUSION 3
• Corrsin independence approximation
Or, in terms of the spectral tensor
The perpendicular diffusion coefficient becomes
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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
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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
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NLGC Theory: λ║ Governs λ ┴
where
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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:10.1029/2003JA010301.
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NLGC Agrees withNumerical Simulations
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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, 27447.)
• Jovian electron result decisively favors NLGC (Data from Chenette et al. (1977), Astrophys. J. (Lett.), 215, L95.)
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A COUPLED THEORY OF λ┴ AND λ║ (MORE FUN WITH NONLINEAR METHODS)
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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║ ~ P0.6, 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.
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TURBULENCE TRANSPORTIN THE SOLAR WIND
AND APPLICATION
TO SOLAR MODULATION
OF GALACTIC COSMIC RAYS
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SOLAR MODULATION FROM FIRST PRINCIPLES:THE CHALLENGE OF AB INITIO MODELLING
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PHENOMENOLOGICAL MODELFOR TRANSPORT AND EVOLUTION
OF SOLAR WIND TURBULENCE
• Transport equations for turbulence energy Z2, energy-containing scale λ, temperature T, [and cross-helicity σc].
• Effect of large scale wind shear ΔV ~100 km/sec
• Wave generation by pickup ions
• Anisotropic decay and heating phenomenology
Matthaeus et al, 1996; Zank et al, 1996; Matthaeus et al, PRL, 1999; Smith et al, JGR, 2001; Isenberg et al, 2003
[Recent modifications for cross-helicity not shown. See Matthaeus et al., GRL, 2004.]
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TURBULENCE TRANSPORT: EQUATORIAL PLANE
Model Compared with Observation
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TURBULENCE TRANSPORT:HIGH LATITUDE
Model Compared with Observation
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AB INITO MODELS OF THE SOLAR MODULATION OF GALACTIC COSMIC RAYS
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PARKER’S TRANSPORT EQUATION
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DRIFT PATTERNSPositive Solar Polarity Negative Solar Polarity
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TRANSPORT OF ENERGETIC PARTICLES IN THE SOLAR WIND: SOLAR MODULATION
Solar modulation refers to the influence the Sun exerts upon the intensity of Galactic cosmic rays. As solar activity rises (top), the cosmic rays decrease (bottom).
What links solar activity to Galactic cosmic rays?
This plot is updated regularly and is available at http://www.bartol.udel.edu/~NeutronM/modplot.html
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EVIDENCE FOR CHARGE SIGN DEPENDENT SOLAR MODULATION
NOTES• Ratios change
abruptly at each polarity reversal
• Negative charge has generally higher intensity during negative solar polarity
• Negative/positive ratio varies little during positive solar polarity, but exhibits an “M” shape during negative solar polarity
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THE DIFFUSION TENSOR
THROUGHOUTTHE HELIOSPHERE
• Diffusion tensor computed from first principles using turbulence transport solutions
• Drifts competitive or dominant in outer heliosphere in this model
• Recall λik ≡ 3 Kik / V• Note that
λrr = λ║ cos2ψ + λ┴ sin2ψ
where ψ is spiral angle
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Ab Initio Solar Modulation:Energy Spectrum
• The Good News: Correct shape, correct ordering of positive and negative polarity
• The Bad News: Too little modulation in positive polarity
Positive Polarity: Solid line (theory) and stars (data) Negative Polarity: Dashed line (theory) and diamonds (data)Results from Parhi et al., in preparation, 2004.
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Ab Initio Solar Modulation:Radial Gradients
• The Good News: Correct +/- ordering; overall good fit …
• The Bad News: Positive polarity too high, as before, in inner heliosphere.
(But doesn’t look as bad on a linear scale.)
Positive Polarity: Solid line (theory) and stars (data) Negative Polarity: Dashed line (theory) and diamonds (data)Results from Parhi et al., in preparation, 2004.
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Ab Initio Solar Modulation:Latitude Gradients
• The Good News: Correct shape in positive polarity
• The Bad News: Peak too high in magnitude, too low in rigidity
• Data from Ulysses fast-scan in negative polarity will be very useful
Positive Polarity: Solid line (theory) and stars (data) Negative Polarity: Dashed line (theory)Results from Parhi et al., in preparation, 2004.
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SUMMARY
Major advances in our understanding of cosmic ray transport and modulation in the solar wind have resulted from:
• Improved understanding of turbulence, especially turbulence geometry
• Nonlinear methods in scattering theory
• Improvements in turbulence transport theory
• Ab Initio models of the solar modulation of cosmic rays