Abstract:How the turbulent energy cascade develops below the magnetohydrodynamic scales in space and astrophysical plasmas is a major open question. Here, we measure the power spectrum of magnetic fluctuations in Parker Solar Probe's observations close to the Sun and in state-of-the-art numerical simulations of plasma turbulence. Both reveal a power-law behavior with a slope compatible with −11/3 at scales smaller than the ion characteristic scales, steeper than what is typically observed in the solar wind and in the E… Show more
“…P B hyb is more extended at large scales, since the hybrid simulation box is larger. This allows for the development of a Kolmogorov-like power law with a spectral index of −5/3 for k ⊥ d i 3.5, which then steepens to a power law with a slope compatible with −11/3, as already observed in Franci et al (2020a). P B kin , instead, completely lacks the −5/3 range and is higher at the largest scales.…”
Section: Spectral Properties Of the Turbulent Fluctuationsmentioning
confidence: 62%
“…We have modeled plasma conditions similar to those measured by PSP during its first solar encounter. This allowed us to extend toward larger wavenumbers the analysis of the ion-scale turbulent cascade performed with hybrid simulations in Franci et al (2020a). Our simulation employs a large box in terms of the electron characteristic scales, i.e., 320 d e × 320 d e (d i = 10 d e , since the proton-to-electron mass ratio has been set to 100) and a spatial resolution Δx = d i /64 ; 0.16 d e , and implements a very large number of particles (1024 ppc ions and 8192 ppc electrons, for a total of more than 40 billion particles in the whole simulation domain).…”
Section: Discussionmentioning
confidence: 99%
“…We set the ion plasma beta β i = 0.2 and the electron plasma beta β e = 0.5 to mimic average values from PSP measurements at its first perihelion (see Section IIIA of Franci et al 2020a). Initially, we assume a uniform number density n = 1 and no ion or electron temperature anisotropy, i.e., A i,e = T (i,e)⊥ /T (i,e)∥ = 1.…”
Section: Numerical Data Setmentioning
confidence: 99%
“…In order to investigate this and validate our results, we have run a hybrid simulation with the same physical conditions but a much larger box, able to model the turbulent cascade over two decades in wavenumber, one above and one below the ion scales. This simulation has the same parameters and initial conditions as the one described in Franci et al (2020a), so that further information can be found in Appendix A therein. The only (minor) differences are that the grid points are 4000 × 4000 instead of 4096 × 4096 (and correspondingly the box size is 250 d i instead of 256) and 2048 ppc instead of 1024.…”
Section: Spectral Properties Of the Turbulent Fluctuationsmentioning
We perform a high-resolution, 2D, fully kinetic numerical simulation of a turbulent plasma system with observation-driven conditions, in order to investigate the interplay between turbulence, magnetic reconnection, and particle heating from ion to subelectron scales in the near-Sun solar wind. We find that the power spectra of the turbulent plasma and electromagnetic fluctuations show multiple power-law intervals down to scales smaller than the electron gyroradius. Magnetic reconnection is observed to occur in correspondence of current sheets with a thickness of the order of the electron inertial length, which form and shrink owing to interacting ion-scale vortices. In some cases, both ion and electron outflows are observed (the classic reconnection scenario), while in others—typically for the shortest current sheets—only electron jets are present (“electron-only reconnection”). At the onset of reconnection, the electron temperature starts to increase and a strong parallel temperature anisotropy develops. This suggests that in strong turbulence electron-scale coherent structures may play a significant role for electron heating, as impulsive and localized phenomena such as magnetic reconnection can efficiently transfer energy from the electromagnetic fields to particles.
“…P B hyb is more extended at large scales, since the hybrid simulation box is larger. This allows for the development of a Kolmogorov-like power law with a spectral index of −5/3 for k ⊥ d i 3.5, which then steepens to a power law with a slope compatible with −11/3, as already observed in Franci et al (2020a). P B kin , instead, completely lacks the −5/3 range and is higher at the largest scales.…”
Section: Spectral Properties Of the Turbulent Fluctuationsmentioning
confidence: 62%
“…We have modeled plasma conditions similar to those measured by PSP during its first solar encounter. This allowed us to extend toward larger wavenumbers the analysis of the ion-scale turbulent cascade performed with hybrid simulations in Franci et al (2020a). Our simulation employs a large box in terms of the electron characteristic scales, i.e., 320 d e × 320 d e (d i = 10 d e , since the proton-to-electron mass ratio has been set to 100) and a spatial resolution Δx = d i /64 ; 0.16 d e , and implements a very large number of particles (1024 ppc ions and 8192 ppc electrons, for a total of more than 40 billion particles in the whole simulation domain).…”
Section: Discussionmentioning
confidence: 99%
“…We set the ion plasma beta β i = 0.2 and the electron plasma beta β e = 0.5 to mimic average values from PSP measurements at its first perihelion (see Section IIIA of Franci et al 2020a). Initially, we assume a uniform number density n = 1 and no ion or electron temperature anisotropy, i.e., A i,e = T (i,e)⊥ /T (i,e)∥ = 1.…”
Section: Numerical Data Setmentioning
confidence: 99%
“…In order to investigate this and validate our results, we have run a hybrid simulation with the same physical conditions but a much larger box, able to model the turbulent cascade over two decades in wavenumber, one above and one below the ion scales. This simulation has the same parameters and initial conditions as the one described in Franci et al (2020a), so that further information can be found in Appendix A therein. The only (minor) differences are that the grid points are 4000 × 4000 instead of 4096 × 4096 (and correspondingly the box size is 250 d i instead of 256) and 2048 ppc instead of 1024.…”
Section: Spectral Properties Of the Turbulent Fluctuationsmentioning
We perform a high-resolution, 2D, fully kinetic numerical simulation of a turbulent plasma system with observation-driven conditions, in order to investigate the interplay between turbulence, magnetic reconnection, and particle heating from ion to subelectron scales in the near-Sun solar wind. We find that the power spectra of the turbulent plasma and electromagnetic fluctuations show multiple power-law intervals down to scales smaller than the electron gyroradius. Magnetic reconnection is observed to occur in correspondence of current sheets with a thickness of the order of the electron inertial length, which form and shrink owing to interacting ion-scale vortices. In some cases, both ion and electron outflows are observed (the classic reconnection scenario), while in others—typically for the shortest current sheets—only electron jets are present (“electron-only reconnection”). At the onset of reconnection, the electron temperature starts to increase and a strong parallel temperature anisotropy develops. This suggests that in strong turbulence electron-scale coherent structures may play a significant role for electron heating, as impulsive and localized phenomena such as magnetic reconnection can efficiently transfer energy from the electromagnetic fields to particles.
“…The dependence of the rectified local slopes on the amplitude/power of the magnetic field fluctuations is qualitatively similar to that of [42]; however, for solar wind intervals exhibiting low levels of fluctuations, we observe significantly steeper slopes (∼−8/3). Interestingly, for high P in , the local slope seems to saturate around −11/3, which is a prediction of the current-mediated turbulent regime [43].…”
Understanding plasma turbulence below the ion characteristic scales is one of the key open problems of solar wind physics. The bulk of our knowledge about the nature of the kinetic-scale fluctuations comes from the high-cadence measurements of the magnetic field. The spacecraft frame frequencies of the sub-ion scale fluctuations are frequently around the Nyquist frequencies of the magnetic field sampling rate. Thus, the resulting ‘measured’ time series may significantly differ from the ‘true’ ones. It follows that second-order moments (e.g., power spectral density, PSD) of the signal may also be highly affected in both their amplitude and their slope. In this paper, we focus on the estimation of the PSD slope for finitely sampled data and we unambiguously define a so-called local slope in the framework of Continuous Wavelet Transform. Employing Monte Carlo simulations, we derive an empirical formula that assesses the statistical error of the local slope estimation. We illustrate the theoretical results by analyzing measurements of the magnetic field instrument (MFI) on board the Wind spacecraft. Our analysis shows that the trace power spectra of magnetic field measurements of MFI can be modeled as the sum of PSD of an uncorrelated noise and an intrinsic signal. We show that the local slope strongly depends on the signal-to-noise (S/N) ratio, stressing that noise can significantly affect the slope even for S/N around 10. Furthermore, we show that the local slopes below the frequency corresponding to proton inertial length, 5≳kλpi>1, depend on the level of the magnetic field fluctuations in the inertial range (Pin), exhibiting a gradual flattening from about −11/3 for high Pin toward about −8/3 for low Pin.
In this study we examine the radial dependence of the inertial and dissipation range indices, as well as the spectral break separating the inertial and dissipation range in power density spectra of interplanetary magnetic field fluctuations using Parker Solar Probe data from the fifth solar encounter between ∼0.1 and ∼0.7 au. The derived break wavenumber compares reasonably well with previous estimates at larger radial distances and is consistent with gyro-resonant damping of Alfvénic fluctuations by thermal protons. We find that the inertial scale power-law index varies between approximately −1.65 and −1.45. This is consistent with either the Kolmogorov (−5/3) or Iroshnikov–Kraichnan (−3/2) values, and has a very weak radial dependence with a possible hint that the spectrum becomes steeper closer to the Sun. The dissipation range power-law index, however, has a clear dependence on radial distance (and turbulence age), decreasing from −3 near 0.7 au (4 days) to −4 [±0.3] at 0.1 au (0.75 days) closer to the Sun.
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