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Magnetic Field Kinks and Folds in the Solar Wind

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Published 2020 February 3 © 2020. The American Astronomical Society. All rights reserved.
, , Early Results from Parker Solar Probe: Ushering a New Frontier in Space Exploration Citation Anna Tenerani et al 2020 ApJS 246 32 DOI 10.3847/1538-4365/ab53e1

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Abstract

Parker Solar Probe (PSP) observations during its first encounter at 35.7 R have shown the presence of magnetic field lines that are strongly perturbed to the point that they produce local inversions of the radial magnetic field, known as switchbacks. Their counterparts in the solar wind velocity field are local enhancements in the radial speed, or jets, displaying (in all components) the velocity–magnetic field correlation typical of large amplitude Alfvén waves propagating away from the Sun. Switchbacks and radial jets have previously been observed over a wide range of heliocentric distances by Helios, Wind, and Ulysses, although they were prevalent in significantly faster streams than seen at PSP. Here we study via numerical magnetohydrodynamics simulations the evolution of such large amplitude Alfvénic fluctuations by including, in agreement with observations, both a radial magnetic field inversion and an initially constant total magnetic pressure. Despite the extremely large excursion of magnetic and velocity fields, switchbacks are seen to persist for up to hundreds of Alfvén crossing times before eventually decaying due to the parametric decay instability. Our results suggest that such switchback/jet configurations might indeed originate in the lower corona and survive out to PSP distances, provided the background solar wind is sufficiently calm, in the sense of not being pervaded by strong density fluctuations or other gradients, such as stream or magnetic field shears, that might destabilize or destroy them over shorter timescales.

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1. Introduction

Measurements in the solar wind have revealed that the relatively steady wind emanating from coronal holes, typically fast wind streams with speed around and above 700 km s−1, occasionally display local magnetic field polarity inversions known as "switchbacks," embedded within the continuous flux of Alfvénic turbulence emanating from the Sun. Switchbacks have been observed over a wide range of heliocentric distances (R), from R ≃ 0.3 au (Horbury et al. 2018) all the way out to R ≥ 1.3 au (Balogh et al. 1999; Neugebauer & Goldstein 2013), and now also by the Parker Solar Probe (PSP).

While approaching perihelion at a radial distance of R = 35.7 R (solar radii), PSP sampled solar wind streams with speed V ranging between V ≃ 300 and 500 km s−1. Although the wind speed remains around values usually attributed to the slow wind (a highly variable wind with compressible and incoherent turbulent fluctuations) these new observations surprisingly revealed the occurrence of large amplitude Alfvénic fluctuations much like what is found in the fast wind, and even more prominently so. Wind streams indeed appear to be pervaded by sequences of extremely large fluctuations in the radial magnetic field, with amplitudes of the same order of the background magnetic field, and switchbacks often leading to an almost complete backward rotation of the magnetic field itself (see, for instance, Kasper et al. 2019; Horbury et al. 2020).

Early studies have shown that the correlation of velocity and magnetic field fluctuations during switchbacks corresponds to that of Alfvénic fluctuations propagating away from the Sun. That the radial field inversions are in fact highly kinked and folded magnetic field lines, rather than magnetic field lines connecting back to the Sun, was suggested by Balogh et al. (1999) and was demonstrated most clearly by analysis of the proton–alpha differential speed in the fast streams, where the alpha particles, always moving faster than protons, were seen to flip behind during switchbacks (Yamauchi & Suess 2004). The electron strahl was also shown to remain aligned with the magnetic field, while the core and beam of the proton distributions also flipped (Neugebauer & Goldstein 2013). Such folds/kinks of the magnetic field, despite their coherent appearance, are an intrinsic part of the Alfvénic turbulent spectrum and can occur over a wide range of scales, from seconds to several minutes (Horbury et al. 2018) or tens of minutes (Neugebauer & Goldstein 2013), but smaller than microstream scales, that dominate the lower frequency part of the radial energy spectrum at periods of the order of a couple of days (Neugebauer et al. 1995). Matteini et al. (2014) showed that switchbacks are the magnetic manifestation of impulsive enhancements that can be observed in the radial bulk speed of the wind, the so-called radial jets (Gosling et al. 2009), or spikes. The connection between radial jets and switchbacks follows directly from the velocity–magnetic field correlation that characterizes Alfvén waves, complemented by the fact that the total magnetic field magnitude remains nearly constant over all the fluctuations—the latter being a well established, observed property of Alfvénic turbulence in the solar wind (e.g., Barnes & Hollweg 1974; Tsurutani et al. 1994; Matteini et al. 2014.)

Whether switchbacks are the remnant of some process in the corona related to wind formation and acceleration remains an open question. Remote observations bring evidence of a plethora of transient and impulsive events such as plumes, spicules and rays (Raouafi et al. 2016), but the causal connection between those events observed remotely and in situ measurements of the wind has not been established as of yet. On the other hand, switchbacks lasting from a few minutes to a couple of hours seen by Ulysses appear to be consistent with network-scale size structures at the Sun's surface, and it has been suggested that they may originate in the low corona from reconnection between emerging closed magnetic flux from the Sun's surface and preexisting open magnetic fields (Yamauchi & Suess 2004).

If switchbacks were the byproduct of reconnection as suggested, then the problem is that of maintaining the highly kinked field lines all the way out to tens of solar radii where they are currently observed. Indeed, a highly kinked Alfvénic fluctuation is not expected to survive beyond a few solar radii, because at the low-β (thermal to magnetic pressure ratio) values typical of the solar corona, strong coupling with compressible modes naturally tend to unfold and stretch magnetic field lines until the dominant polarity is recovered. Previous work by Landi et al. (2005), who considered a kinked Alfvén wave not in pressure equilibrium with the surroundings, indeed ruled out the possibility of a coronal origin of switchbacks for those reasons.

Here, motivated by the new observations of the PSP, we show that a highly kinked Alfvénic wave packet characterized by constant total magnetic field strength can persist for up to hundreds of Alfvén crossing times, suggesting that such fluctuations may indeed originate in the corona and propagate all the way out to PSP distances, provided the wind is not pervaded by strong and frequent fluctuations in plasma quantities, which may destroy the switchback on shorter timescales.

2. Data Sample

Figure 1 shows a data sample of magnetic field and plasma measurements gathered during the first perihelion by the FIELDS (Bale et al. 2016) and SWEAP (Kasper et al. 2016) instrument suites. Switchbacks clearly stand out as huge spikes in the radial magnetic field and velocity profiles (Br and Vr) lasting about 20 minutes in this particular interval, shown in blue color in the first and second panels. The radial magnetic field changes from roughly a base value of Br ≃ −70 nT up to Br ≃ +60 nT, whereas the radial speed changes from a base value of about V ≃ 300 to V ≃ 390 km s−1 and in some cases even up to V ≃ 450 km s−1. The magenta color in the first panel represents the angle θ between the radial and the total magnetic field: while in the absence of strong fluctuations the magnetic field is aligned with the radial (θ = 0), in correspondence with the switchbacks it turns to more than θ = 100°, indicating an almost complete rotation of the magnetic field in the opposite direction (notice that to compute the angle we have taken the reversed sign of Br, which is directed radially inwards in the absence of fluctuations). At the same time, the total magnetic field magnitude $| {\boldsymbol{B}}| =B$, shown in black color in the first panel, remains relatively constant during such rotations. This is a common condition found in the solar wind implying that such Alfvénic fluctuations are bound to rotate on a sphere of constant radius of magnitude B. In other words, Alfvénic fluctuations in the solar wind are spherically polarized (Tsurutani et al. 1994; Matteini et al. 2014). The normal and tangential components of the magnetic (blue) and velocity (red) fields are shown in the third and fourth panels, respectively, displaying the typical magnetic–velocity field correlation of Alfvén waves propagating outwards from the Sun, while the proton number density is shown in the last panel. As can be seen, occasionally, both the density and the magnitude of B display some level of fluctuations, and it will be of interest to investigate in more detail in the future the nature and role of such compressible effects.

Figure 1.

Figure 1. Data sample of magnetic field and plasma measurements gathered during the first perihelion by the Parker Solar Probe, showing a sequence of switchbacks and radial jets. The upper plot displays the radial component of the magnetic field (blue), the magnitude of the total magnetic field (black), and the angle between the radial and the total magnetic field (magenta). The second panel shows the radial proton speed, and the third and fourth panels the transverse components (namely, the normal and tangential components in RTN coordinates) of the magnetic and velocity fields (blue and red colors, respectively). The last panel shows the proton number density.

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Inspired by these and other similar observations, in the next sections we first provide a model for switchbacks and then we investigate via numerical simulations their evolution.

3. Analytical Model for "Switchbacks" and Numerical Setup

We take a highly kinked Alfvén wave packet propagating in a homogeneous plasma with density ρ0 and pressure p0 along the in-plane background magnetic field B0, that we take along the $\hat{y}$ direction. It has been known for a long time that unidirectional Alfvénic fluctuations provide an exact solution to the nonlinear, compressible magnetohydrodynamics (MHD) system if the strength of the total magnetic field is also constant (Barnes & Hollweg 1974). Three-dimensional Alfvénic solutions satisfying the constraint B2 = const can be obtained numerically (Valentini et al. 2019); however, a solution in closed analytical form has yet to be found to model Alfvénic wave packets of arbitrary amplitude. Therefore, here we will adopt a reduced model in two dimensions.

In order to construct our Alfvénic wave packet it is useful to introduce the two-dimensional magnetic scalar potential $\psi (x,y)$ and define the magnetic field as

Equation (1)

Any exact Alfvénic solution can be constructed by starting from Equation (1) and by imposing the constraint B2 = const to determine the out-of-plane component of the magnetic field,

Equation (2)

whereas the velocity fluctuation u follows directly from the Alfvénicity condition, ${\boldsymbol{u}}=-{\boldsymbol{\delta }}B/\sqrt{4\pi {\rho }_{0}}$, where ${\boldsymbol{\delta }}B$ is the fluctuating magnetic field with respect to its average value. Starting from the profile considered by Landi et al. (2005), we model a local magnetic polarity inversion (the switchback) by specifying the following functional form for ψ(x, y),

Equation (3)

where

Equation (4)

In this work we use a 2.5D (two spatial coordinates and three-dimensional fields) compressible MHD code where an adiabatic closure is assumed. The code is periodic in both the y- and the x-directions. For our simulations we choose a case study corresponding to an anisotropic wave packet with x = 1, y = 1.5, $| {x}_{1}-{x}_{2}| =| {y}_{1}-{y}_{2}| =2$, and amplitude ψ0 = 2. These parameters ensure the presence of an inversion of the magnetic field with minimum value of By/B0 = −0.9 at the center of the simulation domain. In Figure 2 we show three cuts of the initial configuration along the switchback, at x = Lx/2 (upper panel), across the switchback, at y = Ly/2 (middle panel) and at an angle of 45° (bottom panel). The resulting in-plane magnetic field lines can be seen in the upper left panel of Figure 3. Notice that because of the limitations imposed by the 2D geometry, the out-of-plane component of the magnetic field is of the same order of magnitude of the guiding magnetic field B0, so that in fact the switchback propagates at an angle θ ≃ 69° with respect to the total average magnetic field. However, this geometrical limitation does not compromise the main goal of this study, which is to investigate the stability of folds/kinks of the magnetic field along the propagation direction. The plasma beta ($\beta =8\pi {p}_{0}/{B}_{0}^{2}$) is set to β = 0.1 in most cases, with one simulation having β = 1. We keep a constant mesh resolution Δx = Δy = 0.1 and we perform several simulations with different box length Ly (along the propagation direction), while Lx = 2 × 2π. A list of the variable parameters for each simulation run can be found in Table 1. Finally, in order to facilitate the numerical analysis, we perform a Galilean transformation and integrate the set of MHD equations in the comoving frame of the Alfvén wave packet.

Figure 2.

Figure 2. Cuts of the magnetic field used as initial configuration: along the switchback at x = Lx/2 (upper panel); across the switchback, at y = Ly/2 (middle panel); at an oblique angle of 45° (bottom panel).

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Figure 3.

Figure 3. Magnetic field lines (black) and contours of density fluctuations (color coded) from t = 0 until t = 150 ta (run 1). Only contour values corresponding to $| (\rho -{\rho }_{0})/{\rho }_{0}| \geqslant {10}^{-3}$ are displayed.

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Table 1.  Simulation Parameters

Run # Ly β
Run 1 × 2π 0.1
Run 2 × 2π
Run 3 × 2π
Run 4 × 2π
Run 5 16 × 2π
Run 6 32 × 2π
Run 7 × 2π 1

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4. Results

The simulations considered in this work display a similar qualitative behavior. We therefore begin this section by focusing on run 1, which will serve as a reference to give an overview of, and discuss, our main results. In Figure 3 we show the time evolution of the switchback, where contours of density fluctuations (color coded) are superposed to magnetic field lines (black lines) from t = 0 until the magnetic field lines have become almost aligned with the dominant magnetic field polarity. The switchback remains stable for several tens of Alfvén crossing times ta = y/va, where ${v}_{a}={B}_{0}/\sqrt{4\pi {\rho }_{0}}$. Eventually, starting from about t ≃ 60 ta, it begins to interact with density fluctuations via a process that displays features consistent with the parametric decay instability (Galeev & Oraevskii 1973; Derby 1978), a mechanism known to cause growing density fluctuations and wave reflection.

Interaction with density fluctuations and partial reflection indeed cause the initial switchback to ultimately "unfold" and disrupt until the magnetic field lines have turned to the dominant polarity. The complete disruption of the switchback, however, appears to be a relatively slow process. As can be seen in the bottom right panel of Figure 3, where we show the evolved switchback at time t = 150 ta, the central magnetic field lines have become aligned with B0, but there are other regions in the trailing edge of the wave packet displaying significant distortion including local polarity inversions. The complete unfolding of the initial switchback is found to occur at a much later time, around t ≃ 190 ta.

Parametric decay has been studied in great detail in many different conditions, from MHD (Malara & Velli 1996; Del Zanna et al. 2001; Tenerani & Velli 2013; Réville et al. 2018; Shoda et al. 2018) to hybrid kinetic models (Vasquez 1995; Matteini et al. 2010). Those works have studied parametric decay of planar fluctuations both in the case of coherent, monochromatic large amplitude waves and broadband fluctuations. More recently, also nonplanar fluctuations have been studied, although in a larger β plasma (Primavera et al. 2019). However, only Alfvénic fluctuations that fill space homogeneously have been considered so far. The fact that in our case the wave packet is localized in space has implications on the resonance conditions underlying the decay process, the interaction time τi between compressible fluctuations and the wave packet being limited to ${\tau }_{i}\simeq {{\ell }}_{y}/(| {c}_{s}-{v}_{a}| )$, where cs is the sound speed. In our periodic simulations the interactions will resume after the time interval Δt required to travel a length Ly, ${\rm{\Delta }}t\simeq {L}_{y}/(| {c}_{s}-{v}_{a}| )$. In this regard we performed several simulations to explore the effect of the box size on the evolution of our switchback.

In Figure 4 we show in linear-logarithmic scale the time evolution of the rms amplitude of the density fluctuations for each run. From run 1 to run 4 and in run 7 we can identify an initial stage during which density fluctuations grow exponentially until saturation. The growth rate γ, not so surprisingly, is found to scale roughly as γta ∼ y/Ly, with the most unstable case having γta = 0.18. By way of comparison, a monochromatic wave with relative amplitude δB/B0 ∼ 2 and wavelength λ = y has a maximum growth rate γta ≃ 3.7 (that we estimated by solving numerically the linear dispersion relation; see, e.g., Derby 1978), much larger than the growth rate of our localized wave packet. The estimated growth rates for these runs are indicated in the legend of Figure 4, with the dashed lines showing the interval over which they have been estimated. After saturation, a second weaker growth in the density rms can be observed, that we interpret as a secondary decay of the reflected wave, as reported in previous work (Del Zanna et al. 2001). Since parametric decay tends to be stabilized as β increases (at fixed amplitude), we performed one simulation (run 7) with the same parameters as in run 1 but with β = 1 and verified that the growth rate is significantly reduced, confirming that the process leading to density growth is a form of parametric instability.

Figure 4.

Figure 4. Time evolution of the rms of density fluctuations. Estimated growth rates γ are indicated in the legend for run 1–run 4 and run 7. Dashed lines represent the interval where the growth rate for each simulation has been estimated.

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Figure 5 displays the time evolution of the total average cross-helicity (σ), that gives us a measure of the overall Alfvénic correlation between velocity and magnetic fields: σ = ±1 corresponds to an ensemble of perfectly correlated or anticorrelated velocity and magnetic field fluctuations propagating forwards and backwards, respectively; σ = 0 instead corresponds to an ensemble of balanced counter-propagating Alfvénic fluctuations. As can be seen, the cross-helicity drops when saturation of density fluctuations is attained, a feature typical of the nonlinear stage of parametric decay, and it increases again following the trend of density fluctuations, consistent with the occurrence of a secondary decay of the (partially) reflected wave. However, the value of the cross-helicity remains significantly large and close to unity (σ ≳ 0.8) in all of our runs, implying that wave reflection is strongly inhibited in the case of our switchback, contrary to previous work that considered space-filling fluctuations and where cross-helicity was found to drop all the way down to negative values (e.g., Del Zanna et al. 2001; Tenerani & Velli 2013).

Figure 5.

Figure 5. Evolution of the average cross-helicity σ for run 1–run 7.

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The trend of the growth rate to decrease with the system size is observed until the box length Ly becomes sufficiently large, and then the evolution becomes independent of Ly, at least for the duration of our simulations until t = 466 ta. Contrary to the previous cases, both run 5 and run 6, which correspond to the largest system sizes considered (Ly/(2π) = 16 and Ly/(2π) = 32, respectively), display roughly two stages: an initial stage lasting until t ≃ 100 ta during which density fluctuations are slowly growing, and a second stage, during which density fluctuations abruptly increase. Although the density rms increases slightly faster than exponential in the second stage, especially for run 6, we estimated an average rate of γta = 0.75. Density growth saturates approximately at time t ≃ 180 ta. In both run 5 and run 6, however, the effect of parametric decay is extremely weak and the cross-helicity remains even larger than in the previous runs, around σ ≃ 0.96 (see Figure 5).

In Figure 6, top panel, we also show a contour of the cross-helicity σ(x, y) over the whole domain at t = 466 ta for run 5. As can be seen, fluctuations propagating forwards and backwards, corresponding to positive and negative cross-helicity, respectively (blue and red colors), are broadly excited outside the switchback, but fields remain perfectly correlated, with σ = +1, at the switchback location. Density fluctuations are also excited, but as can be see from Figure 6, bottom panel, they are depleted from inside the switchback. The switchback, although reduced in strength, indeed persists beyond t = 466 ta, as shown in Figure 7. In this regard our work and results display some similarities but also differences from those of Primavera et al. (2019), who also considered, starting from exact solutions to the MHD equations, nonplanar (2D) fluctuations. In their work, Primavera et al. (2019) considered larger β values, and their fluctuations were highly oblique in the (x,y) plane, filling space homogeneously. In these conditions, they found that the parametric decay has a growth rate that increases with β, and that it leads to the formation of filamentary structures characterized by density enhancements and backwards fluctuations that are strongly localized in a narrow band parallel to the propagation direction. In our case (see Figure 6), density fluctuations and backward Alfvénic fluctuations are excited in a relatively narrow band as well, although in this case such a band clearly corresponds to the region traversed by the switchback.

Figure 6.

Figure 6. Top panel: contour plot of the cross-helicity σ(x, y) (color coded) and magnetic field lines (black color) at time t = 466 ta. Bottom panel: contour plot of the density perturbation (ρ − $\langle \rho \rangle $, where $\langle \cdot \rangle $ indicates the spatial average) at time t = 466 ta; the overplotted black line represents the profile of the density at the center of the switchback (run 5).

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Figure 7.

Figure 7. Magnetic field lines (black) and contours of density fluctuations (color coded) at t = 466 ta (run 5). Only contour values corresponding to $| (\rho -{\rho }_{0})/{\rho }_{0}| \geqslant {10}^{-3}$ are displayed. Only a portion of the simulation domain is shown.

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5. Discussion

An ensemble of unidirectional Alfvén waves are an exact, attracting dynamical state within the framework of incompressible MHD (Dobrowolny et al. 1980). If the total magnitude of the magnetic field is also constant, the solution is an exact one for compressible MHD (Barnes & Hollweg 1974), even in the presence of anisotropies, although it may become unstable in the presence of background fluctuations in the plasma quantities (Tenerani & Velli 2017, 2018, 2020).

The new observations by PSP at R ≃ 35.7 R reveal the ubiquitous existence of Alfvénic fluctuations in the form of kinked and folded magnetic field lines. Understanding how long they can survive in the solar wind is a first necessary step to understand their origin. In this regard our numerical simulations suggest that such a state can persist up to hundreds of Alfvén times, in contrast to previous work where a similar kinked Alfvénic wave packet was considered, but in the case in which it was not in pressure equilibrium with its surrounding environment (Landi et al. 2005).

If the background state is homogeneous, the process that eventually leads to a breakdown of the initial state is the well known parametric decay instability, that provides an upper bound to the lifetime of switchbacks, with increasing lifetime for increasing system size. An order of magnitude estimate for the distance spanned by such fluctuations is therefore ΔR = τlife(V + va). In this regard our system size Ly can be regarded as the length scale traversed by a switchback before it undergoes a scattering event due to incoming perturbations. We can estimate va and V by taking the average of the Alfvén and solar wind speed between R = R and R ≃ 35 R, leading approximately to ${\bar{v}}_{a}\simeq 500$ km s−1 and $\bar{V}\simeq 150$ km s−1, respectively. By considering a typical length of the switchback of y ≃ 5 × 104 km we obtain ta ≃ 100 s and by assuming, in the worst case scenario, a small system size whose length scale is of the order of Ly ≃ R, which implies Ly/y ≃ 10, we fix τlife ≃ 200 ta (run1), yielding ΔR ≃ 18 R. A larger distance of ΔR > 43 R will be spanned for larger values of Ly/y (run 5 and 6).

The above estimates must, however, be considered as indicative, for switchbacks propagating in a nonhomogeneous, nonperiodic expanding plasma and the effects of nonperiodicity and underlying gradients must be taken into account simultaneously.

Indeed, nonperiodicity limits the growth time of a single parametric decay event to the time interval τi defined above. While in our periodic simulations these events have a waiting time Δt ∝ Ly, in reality the latter is most probably an underestimate due to the stochastic arrival of incoherent fluctuations from the propagation direction, so that the lifetime of switchbacks may be even longer than what was found in our simulations. On the other hand, although for R/y ≫ 1 the gradients in the expanding solar wind may be neglected in a local analysis, expansion can have an integrated effect. Radial gradients, but also transverse gradients in the overall solar wind flow velocity as well as in the magnetic field and density, can lead to additional dynamical evolution that in part may lead to the disruption of the switchback, but in part may aid to maintain it with increasing distance from the Sun. Indeed, not only does expansion tend to inhibit the decay process (Tenerani & Velli 2013) but also the presence of velocity jets associated with the switchback might provide a stabilizing mechanism, as discussed in the work of Landi et al. (2006) where it was shown that wakes and jets might build up a radial magnetic field inversion.

In summary, different mechanisms may come into play at different distances from the Sun and it is important to investigate further how such mechanisms may affect the disruption and regeneration of switchbacks during their propagation away from the Sun, including the dependence of the decay process on the aspect ratio y/x and amplitude of the switchback itself.

6. Summary

We have investigated via MHD simulations the evolution and stability properties of a highly kinked Alfvénic fluctuation that includes an inversion of the radial component of the magnetic field and a total constant magnetic pressure, consistently with observations from PSP and earlier observations.

We have shown that for a homogeneous, periodic system such Alfvénic wave packet/switchback can persist up to several hundreds of Alfvén times, eventually decaying due to the onset of the parametric decay instability, which provides an upper bound to their lifetime.

The lifetime of the switchback scales linearly with the system size due to the fact that it is a spatially localized wave packet. For the largest system sizes considered here (${L}_{y}/{{\ell }}_{y}=67$ and 134) the parametric decay is extremely slow and its effects are only weak (the initial switchback is reduced in strength but it remains folded for hundreds of Alfvén times).

Using average values of solar wind and Alfvén speeds, we have carried out an order of magnitude estimate of the distance spanned by a switchback (ΔR). We estimated that ΔR can range from ΔR ≃ 18 R (small system size) to ΔR > 43 R (large system size), suggesting that switchbacks can be generated in the corona and propagate out to PSP distances, provided the wind is relatively calm, in the sense that there are not significant and frequent perturbations that may destroy them faster.

The present study does not include the effects introduced by expansion and other inhomogeneities, such as wind shears, that may alter the dynamics of switchbacks. We will need to investigate further those effects, as well as the role of the aspect ratio and amplitude of the switchback itself on the decay process.

Parker Solar Probe was designed, built, and is now operated by the Johns Hopkins Applied Physics Laboratory as part of NASA's Living with a Star (LWS) program (contract NNN06AA01C). The FIELDS and SWEAP experiments were developed and are operated under NASA contract NNN06AA01C. We also acknowledge NASA grant #80NSS-C18K1211 for supporting this research and the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing HPC resources that have contributed to the research results reported within this paper: http://www.tacc.utexas.edu.

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10.3847/1538-4365/ab53e1