ABSTRACT
A phenomenological turbulence model for kinetic Alfvén waves in a magnetized collisionless plasma that is able to reproduce the non-universal power-law spectra observed at the sub-ion scales in the solar wind and the terrestrial magnetosphere is presented. The process of temperature homogenization along distorted magnetic field lines, induced by Landau damping, affects the turbulence transfer time and results in a steepening of the sub-ion power-law spectrum of critically balanced turbulence, whose exponent is sensitive to the ratio between the Alfvén wave period and the nonlinear timescale. Transition from large-scale weak turbulence to smaller scale strong turbulence is captured and nonlocal interactions, relevant in the case of steep spectra, are accounted for.
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1. INTRODUCTION
Spacecraft measurements both in the solar wind and the Earth magnetosphere (Alexandrova et al. 2008, 2013; Bruno & Carbone 2013) show power-law energy spectra for magnetic turbulent fluctuations. At MHD scales, where kinetic effects are subdominant, observations support an Alfvenic energy cascade where the magnetic fluctuations transverse to the ambient field display a spectrum close to the prediction based on a "critical balance" (Goldreich & Shridhar 1995; Nazarenko & Schekochihin 2011) between the characteristic times of the nonlinear transverse dynamics and of the Alfvén wave propagation along the magnetic field lines. At sub-ionic scales, a power law is also observed in a range extending from the proton () to the electron () Larmor radius (Sahraoui et al. 2009, 2010, 2011; Alexandrova et al. 2012; Chen et al. 2013), but the exponent appears to be less universal, with a distribution peaked near −2.8 and covering the interval [−3.1, −2.5] (Figure 5 of Sahraoui et al. 2013). For comparison, the magnetic spectral exponent in the MHD range is estimated as −1.63 ± 0.14 by Smith et al. (2006).
Gyrokinetic simulations at β = 1 display a sub-ion power-law spectrum with comparable exponents (−2.8 in Howes et al. 2011b or −3.1 in Told et al. 2015). Fully kinetic particle-in-cell (PIC) codes with a reduced mass ratio (Wan et al. 2015), as well as hybrid Eulerian Vlasov–Maxwell models (Servidio et al. 2015) also predict steep spectra at small scales, associated with coherent structures and deformation of the particle distribution functions.
At sub-ion scales, two types of waves play a dynamical role: whistlers for which ions are approximately cold and kinetic compressibility is negligible, and (low-frequency) kinetic Alfvén waves (KAWs) for which density fluctuations are significant. Reduced fluid-like models for the nonlinear dynamics of such waves have been developed and numerically simulated, leading to a −8/3 sub-ion spectral exponent (Schekochihin et al. 2009; Boldyrev & Perez 2012; Boldyrev et al. 2013; Meyrand & Galtier 2013). Nevertheless a comprehensive understanding of turbulence at these scales is still missing. Carrying the critical-balance phenomenology to the KAW cascade leads to a energy spectrum, significantly shallower than observed. Still assuming critical balance, Boldyrev et al. (2013) proposed a steeper spectrum resulting from coherent structures and intermittency corrections. Alternatively, Howes et al. (2008) suggested a balance between Landau damping and energy transfer. The spectrum is then multiplied by an exponential factor originating from the variation of the energy flux along the cascade. This model was extended in Howes et al. (2011a), in an attempt to include nonlocal interactions, relevant for steep spectra.
In this Letter, we revisit KAW phenomenology, including in the energy transfer time the effect of ion temperature homogenization along magnetic field lines induced by Landau damping. The latter, whose linear rate is assumed to persist in the nonlinear regime (see Schekochihin et al. 2015 for a discussion), not only provides the exponential cut-off (at a scale depending on the Kolmogorov constant) discussed in Howes et al. (2006), but also leads to a steepening of the −7/3 power law. Furthermore, because it does not necessarily enforce strict critical balance, this model describes the transition between weak turbulence at large scales to strong turbulence at smaller scales.
2. MODEL SETTING
We consider a collisionless proton-electron plasma permeated by a strong ambient magnetic field (of amplitude B0), with equal and isotropic mean temperatures Alfvén waves are driven in the MHD range, at scales much larger than The transverse magnetic field fluctuations are measured in velocity units by defining where vA is the Alfvén velocity. The amplitude of these fluctuations at a transverse wavenumber is where Ek is the transverse magnetic spectrum.
2.1. Involved Time Scales
The magnetic field being stretched by electron velocity gradients and the dynamics dominantly transverse, we define, when the interactions are local, a stretching frequency (inverse of the nonlinear time ) where the transverse electron velocity vek at scale is given by Here, is a function of equal to 1 in the MHD range and scaling like in the far sub-ion range, with a smooth transition near the ion gyroscale. As in hydrodynamic turbulence, we write (Kovasznay 1948; Panchev 1969). Nevertheless, when Ek is decaying fast enough, the above expression does not necessarily ensure the expected monotonic growth of In this case, nonlocal interactions cannot be neglected, and should rather be viewed as the stretching rate due to all of the scales larger than It is then taken equal to the rms value (Elisson 1962; Panchev 1971; Lesieur 2008), where Λ is a constant. The local approximation is recovered when the integral diverges at large while the integral formula can be replaced by the equation
Alfvén waves are characterized by a frequency of and a dissipation rate of Here (equal to 1 in the MHD range) and are functions of provided by the kinetic theory. In a linear description, parallel and perpendicular wavenumbers are defined relatively to the ambient field (taken in the z direction), but distortions of the magnetic field lines should be retained in the nonlinear regime. We write where kz is a constant estimating the parallel wavenumber of the energy-containing Alfvén waves. It should not be confused with the inverse correlation length along the z direction. Alternatively, measures the correlation along the magnetic field lines (which is larger than along the z axis). A procedure to estimate in numerical simulations is described in Cho & Lazarian (2004), while an approach using the frequency as a proxy for is used in TenBarge & Howes (2012). We are led to write with a turbulent frequency shift of or We similarly write with A multiplicative constant should also enter the definitions of and γ, but is easily scaled out.
Another timescale originates from the compressible character of KAWs. The latter are subject to Landau damping, resulting in temperature homogenization along the magnetic field lines, on the correlation length in a time Here the thermal velocity appears as the rms streaming velocity of the r-particles. This time scale, which arises explicitly in Landau fluid closures (Hammett et al. 1997; Snyder et al. 1997; Sulem & Passot 2015), is very short for the electrons, while for the ions it is comparable to that of the other relevant processes and can thus affect the dynamics. Due to magnetic field distortion, this process introduces additional nonlinear couplings characterized by the frequency where μ is a numerical constant. We are thus led to write with
Finally, we define the transfer time as or, in frequency terms, When only one process competes with nonlinear stretching, the critical balance condition (Goldreich & Shridhar 1995; Schekochihin et al. 2009; Nazarenko & Schekochihin 2011) ensures the equality of the two associated timescales, and thus of the transfer and stretching times.
2.2. The Nonlocal Model
Retaining KAW linear Landau damping leads to the phenomenological equation (Howes et al. 2008, 2011a) where Sk is the driving term acting at large scales and is the transfer term related to the energy flux by Due to Landau damping, energy is not transferred conservatively along the cascade, making scale-dependent. For a steady state and outside the injection range, one has Note that the present setting differs from the asymptotic regime considered by Schekochihin et al. (2009), for which, under the simultaneous conditions and KAWs are not subject to Landau damping because they transfer part of their energy via parallel phase mixing to the ion (electron) entropy cascades only at ion (electron) gyroscales, where it is cascaded both in physical and velocity spaces to collisional scales via perpendicular phase mixing.
The estimate of the energy flux relies on a basic turbulence description (overlooking intermittency). We write where C is a negative power of the Kolmogorov constant. Arguing that the small-scale eddies cannot be sufficiently highly correlated with each other to contribute equally (Elisson 1962), here we use the local approximation of the Reynolds stress rather than the original Obukhov's expression , which leads to an unphysical behavior in the dissipation range of hydrodynamic turbulence (Panchev 1971).
Normalizing frequencies by wavenumbers by energy spectra by energy fluxes by and denoting the ion beta by β, we obtain the non-dimensional model equations (keeping the same notations)
Except possibly near The nonlinearity parameter obeys
where is positive. At the (small) injection wavenumber k0, turbulence is characterized by and, when taking and In the strong turbulence regime with in the full spectral range, while for χ starts growing near k0, but cannot exceed Λ.
3. A SIMPLIFIED LOCAL-INTERACTION MODEL
3.1. The Usual Conservative Cascades
Assuming local interactions, we have
When neglecting dissipation (constant ), we recover the usual inertial energy spectra. For weak turbulence (), in the MHD range, while in the sub-ion range (as ), For strong turbulence (kz negligible), in the MHD range, while in the sub-ion range A regime is also obtained in the sub-ion range when the effect of wave propagation is negligible, as observed in two-dimensional hybrid PIC simulations with an out-of-plane ambient magnetic field (Franci et al. 2015). Furthermore, as can easily be seen from Equation (6), an additional regime with is possible at very large scales when, for small enough , turbulence is not yet developed and is almost constant. Such a spectral exponent is observed in the solar wind at scales larger than the inertial range (Matthaeus & Goldstein 1986; Nicol et al. 2008; Wicks et al. 2010).
3.2. Effect of Landau Damping
For strong turbulence, when assuming local interactions and neglecting kz contributions,
where the notation for the energy flux stresses its wavenumber dependence. This quantity is to be substituted in taking and ( when using Equations (62) and (63) of Howes et al. (2006) with ). Furthermore, in this range with This leads to with This results in a steepening of the algebraic prefactor of the magnetic spectrum, which is now proportional to Compared with the spectrum obtained in Howes et al. (2008), the present model predicts that, in addition to an exponential cut-off, Landau damping leads to a correction of the power-law exponent. In contrast with intermittency corrections discussed in Boldyrev & Perez (2012), this correction is not universal, which is expected when dissipation and nonlinear transfer times display the same wavenumber dependence (Bratanov et al. 2013). This situation holds for the second term in the exponential arising in Equation (9), which leads to the correction of the spectral index. We note that it defines a dissipation length of and thus a dissipation rate of for which has the same dependency as that, by a critical balance argument, identifies with beyond the transition range. A similar power-law decay of is encountered in drift-kinetic plasma turbulence (see Equation (2.53) of Schekochihin et al. 2015).
Differently, for weak turbulence, we get
where the integral behaves like Equation (10) predicts that and thus Ek vanish at a finite indicating the breaking of the analysis near the corresponding scale, an effect possibly related to the difficulty for weak turbulence to exist in the presence of a significant Landau damping.
4. NUMERICAL INTEGRATION OF THE FULL MODEL
When the spectrum is too steep, a numerical integration of differential Equations (1)–(6) is needed. The functions and are then evaluated from the full linear kinetic theory by means of the WHAMP software (Rönnmark 1982). Moreover, We prescribed conditions at in the form , and Here E0 is an arbitrary constant (taken equal to 1 with no lack of generality). We chose C = 1.25, and Except when otherwise specified, we also took e = 1. For clarity's sake, when several energy spectra are plotted in the same panel, one of them (the solid line) is normalized by its value at while the others (dashed and dotted lines) are rescaled to make all of the spectra equal at In red, the fitting ranges are indicated (dashed–dotted straight lines) along with the corresponding spectral exponents, whose last digit only is sensitive to moderate changes of the fitting domain.
In Figure 1(a), we focus on the strong turbulence regime for assuming kz = 0. In the MHD range, a energy spectrum is established and scales like in all of the cases. On the other hand, at sub-ion scales, the spectrum is steeper when Λ is smaller, displaying exponents −2.53 for −2.81 for and a fast decay for In this range, increases slower, and it increases even more slowly when Λ is smaller. In the present setting, (leading to a spectral exponent −3.18) and (exponent −2.45) appear as the extreme values for existence of an extended power-law spectrum at the sub-ion scales. These limit exponents are consistent with the dispersion of solar-wind measurements. Exponents for intermediate values of Λ are displayed in Table 1. Their statistical distribution (and the most probable value) are nevertheless beyond the scope of the model. Note that a exponent (rarely reported in observations) is approached for large Λ, only when
Table 1. Sub-ion Exponent vs. Λ in Conditions of Figure 1(a) (Fitting Range )
Λ | 0.71 | 1 | 1.22 | 1.30 | 1.41 | 2 | 4.47 |
---|---|---|---|---|---|---|---|
Exponent | −3.18 | −2.81 | −2.69 | −2.66 | −2.63 | −2.53 | −2.45 |
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When keeping Λ = 1, but decreasing the energy transfer rate by taking (Figure 1(b)), the MHD and sub-ion spectral exponents are not affected, but a range becomes visible at the largest scales. In this range, where remains small, turbulence is not developed, such as in the energy containing range of the solar wind. A further decrease of leads to a range extending down to the ion gyroscale, a situation observed in the magnetosheath near the bow shock (Czaykowska et al. 2001; Alexandrova et al. 2008).
Another issue is the influence of β, keeping kz = 0. For (Figure 2(a)), we considered and leading to sub-ion spectral exponents −2.37 and −4.21 respectively, while, as expected, the MHD range is not affected. For β = 10 (Figure 2(b)), we used Λ = 3.16 and 1, for which the sub-ion exponents are −2.86 and −3.66 respectively. For the former value of Λ, a spectral bump is visible in the transition zone, as a consequence of the sharp decrease of the ion Landau damping at these scales (see, e.g., Figure 3 of Howes et al. 2006).
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Standard image High-resolution imageTo justify the chosen values of Λ (which is equal to χ in the above setting where kz = 0 and prescribes its saturated value when ), it should be noted that, at a fixed wavenumber, χ increases with the amplitude of the fluctuations, linearly in weak turbulence and at a slower rate when the amplitude gets larger, a behavior supported by FLR-Landau fluid simulations (in preparation). Furthermore, the Mach number, which scales like (where b0 measures the amplitude of the large-scale turbulent fluctuations) is usually observed to be moderate in the solar wind (Bavassano & Bruno 1995), in spite of the broad range of reported values of β (Chen et al. 2014). This implies that the turbulence level, and thus Λ, should be decreased at smaller β.
Figure 3 addresses the influence of the parameter A when Λ is fixed at a moderate value, here Increasing A results in a change from strong to weak turbulence near the driving scale. For A = 0.5 (Figure 3(a)), the function χ rapidly saturates to a value slightly smaller than Λ, establishing critical balance and thus a strong turbulence regime. The spectral exponent −1.72 measured in the MHD range differs from −5/3, since χ is still in the growing phase, but choosing a smaller k0 would ensure a critically balanced MHD range. At small scales, the exponent is −2.62, comparable to the values displayed in Figure 1(a). The case A = 5 corresponds to an intermediate regime where is significantly smaller, resulting in a −1.92 large-scale spectrum, steeper than −5/3, but nevertheless distinguishable from the −2 weak-turbulence value. The sub-ion exponent −2.71 is consistent with a strong turbulence regime, characterized by an almost constant χ at these scales. In Figure 3(b), A = 10 and 15, both lead to a weak-turbulence regime at large scales, with exponents −1.95 and −1.97, very close to the theoretical value. Differences nevertheless hold at small scales. For A = 10, the sub-ion dynamics corresponds to strong turbulence, qualitatively similar to the case A = 5, with a spectral exponent −2.9 and an almost constant χ, though somewhat smaller. On the other hand, for A = 15, the fluctuations are too weak for the energy transfer to efficiently compete with Landau damping, leading to an exponential decay of sub-ion spectrum, and a function χ that starts to decrease by
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Standard image High-resolution image5. CONCLUSION
This model predicts a non-universal power-law spectrum for strong turbulence at sub-ion scales (beyond the transition range) with an exponent that, in contrast with the −5/3 inertial MHD cascade, depends on the saturation level of the nonlinearity parameter χ, covering a range of values consistent with solar wind and magnetosheath observations. Such a non-universality, associated with Landau damping, was also reported in three-dimensional PIC simulations of whistler turbulence (Gary et al. 2012) and FLR-Landau fluid simulations of KAW turbulence (in preparation). Because the present approach does not capture sub-electron scale dynamics, the exponential cut-off might be replaced by another regime, such as the steep power laws reported from both numerical simulations (Camporeale & Burgers 2011; Gary et al. 2012) and spacecraft data (Sahraoui et al. 2013).
The research leading to these results has received funding from the European Commission's Seventh Framework Programme (FP7/2007-2013) under the grant agreement SHOCK (project number 284515).