Open Access

The interaction between the Moon and the solar wind

Earth, Planets and Space201264:17

https://doi.org/10.5047/eps.2011.06.040

Received: 10 February 2011

Accepted: 20 June 2011

Published: 8 March 2012

Abstract

We study the interaction between the Moon and the solar wind using a three-dimensional hybrid plasma solver. The proton fluxes and electromagnetical fields are presented for typical solar wind conditions with different magnetic field directions. We find two different wake structures for an interplanetary magnetic field that is perpendicular to the solar wind flow, and for one that is parallell to the flow. The wake for intermediate magnetic field directions will be a mix of these two extreme conditions. Several features are consistent with a fluid interaction, e.g., the presence of a rarefaction cone, and an increased magnetic field in the wake. There are however several kinetic features of the interaction. We find kinks in the magnetic field at the wake boundary. There are also density and magnetic field variations in the far wake, maybe from an ion beam instability related to the wake refill. The results are compared to observations by the WIND spacecraft during a wake crossing. The model magnetic field and ion velocities are in agreement with the measurements. The density and the electron temperature in the central wake are not as well captured by the model, probably from the lack of electron physics in the hybrid model.

Key words

Moon solar wind hybrid model plasma

1. Introduction

Bodies that lack a significant atmosphere and internal magnetic fields, such as the Moon and asteroids, can to a first approximation be considered passive absorbers of the solar wind. The solar wind ions and electrons directly impact the surface of these bodies due to the lack of atmosphere, and the interplanetary magnetic field passes through the obstacle relatively undisturbed because the bodies are assumed to be non-conductive. Since the solar wind is absorbed by the body, a wake is created behind the object. This wake is gradually filled by solar wind plasma downstream of the body, through thermal expansion and the resulting ambipolar electric field, along the magnetic field lines. For a review of the Moon-solar wind interaction, including recent findings, see Halekas et al. (2011), who also point out the fact that we can view the near lunar space as a plasma laboratory. Although the Moon lacks any significant atmosphere and ionosphere there are many interesting features to this seemingly simple solar wind interaction. To understand the global interaction between the solar wind and the moon we need computer models that can give us a three-dimensional picture that complements the in-situ plasma observations.

Magnetohydrodynamic (MHD) modeling of the Moon-solar wind interaction has a long history, starting with the work of Spreiter et al. (1970), who analytically treated the special case of an interplanetary magnetic field (IMF) aligned with the solar wind flow direction by finding a transformation of the MHD equations into a hydrodynamic problem. However, there are many kinetic processes that cannot be described by fluid models, e.g., the non-Maxwellian particle populations in the wake region, so particle models should capture more of the physical processes. An approximation of the refill of the lunar wake is the general one-dimensional problem where plasma expands into a vacuum (Widner et al., 1971; Samir et al., 1983; Mora, 2003), and such models have specifically been applied to the refill of the lunar wake (Farrell et al., 1998; Birch and Chapman, 2001). A nice property of such models is that even if they are one-dimensional, they can to some degree approximate a two-dimensional model of the lunar wake, where time corresponds to distance downstream the wake, i.e., the one-dimensional model is applied perpendicular to the solar wind flow and convects with the flow. A disadvantage of one-dimensional models, e.g., along x, is that the magnetic field component along the x-axis is forced to be constant, from the requirement that B = 0. This is a severe restriction for modeling the lunar wake, where the field component across the wake can increase. Due to the computational complexity, particle in cell (PIC) models, that include electrons as particles, are for the foreseeable future limited to at most two spatial dimensions, so what has been investigated using such models is the interaction of an infinite cylinder with the solar wind (Harnett and Winglee, 2003; Kimura and Nakagawa, 2008).

Hybrid models, where ions are particles and electrons a fluid, are less computational demanding that full PIC models and are suitable for studying processes of size comparable to the ion inertial length and gyro radius. A two-dimensional hybrid model by Trávníček et al. (2005) focused mostly on wave activity in the lunar wake. The M. Holmström (e-mail: ), S. Fatemi, Y. Futaana, and H. Nilsson Moon-solar wind interaction is however a fully three-dimensional problem, since the IMF component perpendicular to the solar wind flow introduces asymmetry into an otherwise cylindrical symmetric problem. A three dimensional hybrid model by Kallio (2005) had a fairly coarse grid on a small region, and did not handle the wake region in a self consistent way (the electric field was specified in that region). Recently another three dimensional hybrid model has been presented in Wiehle et al. (2011). They compare observations by one of the ARTEMIS spacecrafts to a model run with time dependent inflow conditions, and find a good agreement. The time dependence enables comparison with observations even during changing solar wind conditions, but makes it more difficult to see how the wake forms differently depending on the solar wind conditions.

Here we also apply a three dimensional hybrid model to the Moon-solar wind interaction, but for steady inflow conditions. This allow us to study how the wake depends on the direction of the IMF, and in what follows we describe the method and present a comprehensive global overview of the different plasma quantities in the wake.

2. Model

In the hybrid approximation, ions are treated as particles, and electrons as a massless fluid. In what follows we use SI units. The trajectory of an ion, r(t) and v(t), with charge q and mass m, is computed from the Lorentz force,
where E = E(r, t) is the electric field, and B = B(r, t) is the magnetic field. The electric field is given by
(1)
where ρI is the ion charge density, JI is the ion current, pe is the electron pressure, and μ0 = 4π ∙ 10−7 [H m−1] is the magnetic constant. We assume that the electrons are an ideal gas, then pe = nekTe, so the pressure is directly related to temperature (k is Boltzmann’s constant). There are several ways to handle the electron pressure (p. 8790, Winske and Quest, 1986). Here we assume that pe is adiabatic (small collision frequency), with an adiabatic index, γ = 5/3. Then the relative change in electron pressure is related to the relative change in electron density by pe ǀρeǀ γ (Winske and Quest, 1986), and we have that
where the zero subscript denote reference values (here the solar wind values at the inflow boundary). From charge neutrality and pe = nekTe we can derive that
(2)
a constant that is evaluated using reference values of ρI and Te (solar wind values). Note that γ = 1 corresponds to assuming that Te is constant, and γ = 0 gives a constant pe.
Finally, Faraday’s law is used to advance the magnetic field in time,

We use a cell-centered representation of the magnetic field on a uniform grid. All spatial derivatives are discretized using standard second order finite difference stencils. Time advancement is done by a predictor-corrector leapfrog method with subcycling of the field update, denoted cyclic leapfrog (CL) by Matthews (1994). An advantage of the discretization is that the divergence of the magnetic field is zero, down to round off errors. Also, the discretization conserves energy very well (Holmstrom, 2011). The ion macroparticles (each representing a large number of real particles) are deposited on the grid by a cloud-in-cell method (linear weighting), and interpolation of the fields to the particle positions are done by the corresponding linear interpolation. Initial particle positions are drawn from a uniform distribution, and initial particle velocities from a drifting Maxwellian distribution. Further details on the hybrid model can be found in Holmstrom (2010).

The implementation of the algorithm was done in the FLASH software framework, developed at the University of Chicago (Fryxell et al., 2000), that implements a block-structured adaptive (or uniform) Cartesian grid and is parallelized using the Message-Passing Interface (MPI) library for communication. Further details on the FLASH hybrid solver can be found in Holmstrom (2011). The general solver will be included in future releases of FLASH.

A crucial point in modeling the interaction between the Moon and the solar wind is how to choose the inner boundary conditions, at the surface of the moon. Here we model the Moon as an absorber of the solar wind. Ideally we should then remove all ions that hit the surface of the Moon, but that would introduce a discontinuity in the charge density, from solar wind values outside the sphere, to zero inside the sphere. However, numerical differentiation of discontinuous functions on a grid will lead to oscillations and instabilities in the fields. Therefore we choose to keep also ions inside the Moon, but we gradually reduce their weight by a factor fobs after each time step while they are inside the Moon (the mass and charge of each particle are reduced). Thus, the Moon acts as a gradual sink for ions, and this approach also avoids the problem of ρI =0 in Eq. (1). However, we do not plot these reduced ions in what follows, only protons that have never hit the Moon are used when computing the various statistics. This can be seen as a form of smoothing, done in a self consistent way. Often smoothing of fields are used in hybrid solvers, but it is then done in an ad-hoc way, as an extra step. The downside of our approach is that we introduce a numerical parameter, but experience shows that the solution will not change by much when reducing fobs, indicating that the solution is converging. The reduction parameter cannot be chosen too small however, since a steep gradient in ion density will cause oscillations in the magnetic field. We have verified numerically that this approach keeps the IMF constant inside the Moon, and thus that no spurious currents are present there. There are no inner boundary conditions on the electro-magnetic fields.

The coordinate system is centered at the Moon, with the x-axis is directed toward the Sun, so the solar wind flows opposite to the x-axis. The IMF is in the xy-plane, and we will from now on denote it as the IMF plane. This defines a plane of symmetry, since the only asymmetry in the problem stems from a non-zero component of the IMF perpendicular to the x-axis. The solar wind consists only of protons (and the massless electron fluid), and we have a rectangular simulation domain divided into cells. The +x-face of the domain is an inflow boundary where we have a layer of shadow cells outside the domain that are filled with macroparticles drawn from the solar wind proton velocity distribution, and where the solar wind magnetic field is set. The −x-face is an outflow boundary where particles exiting the domain are removed, and where the magnetic field is extrapolated from the interior. The four other faces have periodic boundary conditions for fields and particles. The simulation domain is divided into a Cartesian grid with cubic cells of size 160 km. The geometry of the simulation domain is shown in Fig. 1. The extent of the simulation box is [−32.40,4.08] × [−8.32, 8.32] × [−8.32, 8.32] ∙ 103 km ≈ [−18,2.4] × [−4.8, 4.8]2Rl, with the Moon as a sphere of radius RL = 1730 km at the origin. The total number of simulation macroparticles is about 300 million, with 121 particles per cell on average. Here we have used values of γ = 5/3, fobs = 0.965, a time step of 0.08 s, and a final time of 170 s, when the solution has reached a steady state. The plots in what follows show the solution at the final time. Five subcycles of the CL algorithm are used here when updating the magnetic field, and the execution time is about 13 hours on 384 CPU cores.
Fig. 1.

The proton number density for an IMF along the direction (1, 1, 0). This also illustrates the coordinate system and the simulation geometry. The cuts are the planes x = −10000 km, x = −30000 km, y = 0, and z = 0. These cutting planes are the same that later are used in Figs. 24.

3. Results

In what follows, we have used typical solar wind conditions at 1 AU (Kivelson and Russell, 1995), unless otherwise noted. The solar wind velocity is 450 km/s, the number density is 7.1 cm−3, and the ion temperature is 1.2 ∙ 105 K. The electron temperature is 1.4 ∙ 105 K, and the IMF is in the xy-plane with a magnitude of 7 nT. For these plasma parameters, the ion inertial length is 85 km, the Alfvén velocity is 58 km/s, the thermal proton gyro radius is 66 km (the gyro time is 9 s), and the ion plasma beta is 0.6.

3.1 Overview

In Fig. 2 the number density (three first rows) and the ion velocities (three last rows) are shown, each for three different IMF directions (at 0, 45 and 90 degrees to the x-axis, in the xy-plane). The most obvious feature of the interaction between the Moon and the solar wind is that a wake is formed behind the Moon, visible as a region of low density. We also see how the refill of the wake depends on the IMF direction. The wake refills along the magnetic field lines, making the wake shorter when the component of the IMF that is perpendicular to the solar wind is larger (Fig. 2(1)). When the IMF is anti-parallel to the solar wind flow there is hardly any refill of the wake over the length of the simulation domain, also the flow then is cylindrical symmetric around the Moon-Sun axis. That the wake refill occur along the magnetic field lines is also visible in the cuts of the far wake (Fig. 2(1d)), with the refill region as a rectangle aligned with the IMF.
Fig. 2.

Proton number density and velocities in different planes, for different upstream IMF conditions. Arrows show the direction of the IMF. Top three rows show number density for different upstream IMF directions. Along the directions (x, y) = (0, 1), (1, 1), and (1, 0), respectively. The geometry is repeated in the lower three rows (4–6) for the proton velocities u x usw, u y , and u z . The columns are from the left, cuts in the planes z = 0 (seen from +z), y = 0 (seen from +y), x = −10000 km, and x = −30000 km (seen from +x). Figure 1 provides a three-dimensional illustration of the cutting planes. The two vertical lines in (1–3b) show the position of the cuts perpendicular to the x-axis.

Another notable feature is the density rarefaction cone that emanate from the terminator region. This region of low density propagate mostly above the poles in the case of a perpendicular IMF (Fig. 2(1)), indicating that it propagates perpendicular to the magnetic field lines. This will be discussed in more detail when we look at the associated reduction in magnetic field strength (Fig. 3).
Fig. 3.

The magnetic field magnitude, and components in different planes, for different upstream IMF conditions. Arrows show the direction of the IMF. Top three rows show magnetic field magnitude for different upstream IMF directions. Then the magnetic field x-component for an IMF perpendicular to and opposite the solar wind flow is shown on row 4 and 5. Similarly, the y-component is shown on row 6 and 7, and the z-component on row 8 and 9. The geometry of the cuts in the different columns are the same as in Fig. 2. The colorbar is for the row immediately to the left, and for all following rows, until the next colorbar.

We now examine the ion velocities, computed from the ion current and the charge density as JI/ρI, as is usual for particle in cell models, since the ion current density and the ion charge density are quantities that are available on the computational grid. The small white region downstream of the Moon is a region without any particles that has not hit the Moon, thus no velocities can be computed there. The x-velocity is shown as the deviation from the solar wind velocity, when the IMF is perpendicular to the flow, in Fig. 2(4). We see a slight slow down of the solar wind in the rarefaction cone. There is also a slow down behind the +z hemisphere (and a speed up behind the −z hemisphere) seen in Fig. 2(4b). This is probably a geometric effect, where part of the velocity distribution function is emptied by collisions with the lunar surface. The y-velocity (Fig. 2(5)) shows how the wake symmetrically refills from both sides of the wake. The ions move inward not only in the central part of the wake, but also in the rarefaction cone. For the case of an aligned IMF, the z-velocity (Fig. 2(6)) also shows a flow in the rarefaction cone toward the wake center. There we also see a flow of ions at the wake boundary in the IMF plane, and there seem to be a small kinetic effect of alternating upward and downward going ions in the upper and lower part of the wake (Fig. 2(6b)). This seems associated with the wave pattern in density inside the rarefaction cone (Fig. 2(1–3)), possibly caused by oscillations at the wake boundary.

The magnetic field magnitude (three first rows) is shown for three different IMF directions in Fig. 3, where also each of the vector components (rows 4–9) are shown for two different IMF directions (perpendicular and aligned to the solar wind flow).

The most prominent feature is the enhanced magnetic field in the wake. For a perpendicular IMF (Fig. 3(1)) this region spreads out in the IMF plane, in the same region where we in the density saw the wake refill. For the aligned IMF the magnetic field increase is larger, and confined to the narrow wake (Fig. 3(3)). There are also structured fluctuations in the far wake region in the IMF plane. Then there is a cone of lower field strength in the case of an aligned IMF (Fig. 3(3)), corresponding to the cone of reduced density (Fig. 2(3)). For the perpendicular IMF the cone is partial, and only extends perpendicular to the IMF, toward +z and −z (Fig. 2(1)). Between the central region of enhanced field and the cone of lower field, there are field fluctuations parallel to the cone, as is also seen in the density (Fig. 2(1b, 2b, 3b)). Examining these density plots, the waves seem to originate at the wake boundary and could be caused by oscillations at this interface between high and low ion density. The magnetic field z-component for the case of a perpendicular IMF (Fig. 3(8)) exhibits a pinching of the field, consistent with earlier predictions (figure 3, Owen, 1996) and model observations (Kallio, 2005). The field is bent toward the IMF plane in the wake (Fig. 3(8c, 8d)). However, the x-component of the magnetic field is also perturbed (Fig. 3(4)). Close to the IMF plane, the field is bent toward the moon on one side of the wake, and away from the moon on the other side of the wake (Fig. 3(4a)). Note also that these bends in the magnetic field are not confined to central parts of the wake, but expand along with the rarefaction in magnetic field (Fig. 3(1d)) and density (Fig. 2(1d)). Thus, for a perpendicular IMF the magnetic field in the wake is not only bent toward the IMF plane, but also toward the moon, as shown in Fig. 4.
Fig. 4.

Magnetic field lines 10000 km behind the Moon for an IMF along the y-axis (same as in Fig. 3(1)). (a) seen along the +x-axis, and (b) along the −z-axis. The color scale shows the magnitude of the magnetic field similarly to Fig. 3. To enhance the bending of the field the magnetic field x-component was multiplied by 4, and the z-component by 2, before drawing the field lines.

The Mach cone of decreased density and magnetic field makes an angle to the solar wind flow direction of about 10 degrees, as seen in Fig. 2 and Fig. 3. Since the outer edge of the cone is diffuse, it is impossible to give a more exact angle. The ion-acoustic wave velocity is , and the Alfvén velocity is also vA ≈ 58 km/s for these solar wind conditions, corresponding to angles of 7 degrees. We see that the density depletion travel perpendicular to the magnetic field. This together with the fact that the propagation velocity is larger than both the ion-acoustic and the Alfvén velocity suggests that the fast magnetosonic wave, with a phase velocity of leading to an angle of 10 degrees, is responsible for the creation of the Mach cone in the hybrid model. This is consistent with the observation of Wiehle et al. (2011) that all three MHD modes (fast, Alfvén and slow) will be manifested in the lunar wake.

In Fig. 5 the electric field magnitude (top row) is shown along with the three vector components (three lower rows) for the case of an IMF perpendicular to the solar wind flow direction. What is shown is the electric field with the solar wind convective electric field, Esw = −usw × Bsw, (directed along the z-axis) subtracted. We do not show the electric field for the case of an IMF aligned with the x-axis, since it is indistinguishable from zero using the same color scale. We can note that the regions of enhanced electric field magnitude coincide with those of enhanced magnetic field magnitude shown in Fig. 3(1). Also, there are similarities in the components of the electric and magnetic fields. E y is very similar to B z (Fig. 3(8)), and correspondingly E x is similar to B y (Fig. 3(8)).
Fig. 5.

The electric field magnitude, and the three components in different planes, for an IMF that is perpendicular to the solar wind flow direction. Arrows show the direction of the IMF. For the magnitude and z-component, the solar wind convective electric field, Esw = −usw × Bsw, has been subtracted. The cuts in the different columns are the same as in Figs. 2 and 3.

3.2 Comparison with WIND observations

We here compare the hybrid model results with observations by the WIND spacecraft on December 27, 1994, when it traversed the lunar wake approximately perpendicular to the solar wind flow, in the plane of the IMF, at a distance of x = −6.5Rl ≈ −11300 km. Ogilvie et al. (figure 1, 1996) plots several plasma parameters during the wake crossing. Apparently the solar wind conditions changed during the observation. This is most apparent in the plasma number density that decreased by more than a factor of two from the undisturbed solar wind on the inbound trajectory to the solar wind on the outbound trajectory. Therefore we make two runs of the hybrid model for the two sets of solar wind conditions, here denoted before and after. The solar wind conditions used for the before (after) case are as follows. A solar wind velocity of 470 (500) km/s, a number density of 5 (2) cm−3, an ion temperature of 0.9 (0.5) ∙ 105 K, and an electron temperature of 1.5 (2) ∙ 105 K. The IMF was (6.39, 2.33, 0) nT for the before case, and (5.57, 5.02, 0) nT for the after case. The time step was 0.08 (0.05) s and fobs = 0.98(0.985). Since the plasma parameters are different in the two cases, these numerical parameters have different values to ensure the stability of the solutions.

In Fig. 6 we show the model magnetic field magnitudes, compared with the observation by WIND. The observed magnetic field magnitude matches well to the model values, if we assume that there was a change in the upstream solar wind conditions around wake entry (there we switch from comparing the before model results to comparing the after model results with the observation). Before the wake crossing there is a drop in the observed magnetic field strength that is also seen in the model. This is the rarefaction wave that we saw in Fig. 3 earlier. The IMF in the before case has the largest component along the x-axis and therefore the magnetic field magnitude should best match Fig. 3(3a), with a pronounced rarefaction cone. Then there is an increase in the central wake which is reproduced in the after model. Followed by a gradual decrease at wake exit, but no rarefaction wave. For the after case the IMF is at about 45° away from the x-axis and thus correspond to Fig. 3(2a), with a much weaker rarefaction cone. In the observation there are some large variations further away from the wake that are not present in the model. This could be upstream solar wind disturbances.
Fig. 6.

The hybrid model magnetic field magnitude [nT] along y at x = −6.5 Rl = −11245 km for two different upstream solar wind conditions (labeled before and after), compared to WIND observations from Ogilvie et al. (figure 1, 1996). The vertical lines show the location of the optical shadow, and the x-axis shows time on December 27, 1994, as in the original plot.

In Fig. 7 the proton velocity observed by WIND is compared to the velocity in the two hybrid model runs.
Fig. 7.

The hybrid model proton x-velocity magnitude [km/s] for two different upstream solar wind conditions (labeled before and after), compared to WIND observations. Otherwise similar to Fig. 6. The reason that the WIND velocity is double valued in the center of the wake is that the velocity of the two proton beams refilling the wake from each side is computed separately, as explained in the original publication (Ogilvie et al., 1996).

Again we have fairly good agreement between the model and observations, assuming a shift in solar wind conditions around wake entry. There are more variations in the observed velocities, but the locations of the velocity changes, and the slopes match the model. In the central wake there is however no data from the model since the model density is too low. This can be seen when we compare the proton number density from the model with observations in Fig. 8. We see that the general features of the observed density profile across the wake is found in the model, including a shift of the minimum density toward the outbound part of the trajectory, if we assume the shift in solar wind conditions around wake entry. However, the drop off in density is quicker in the hybrid model, and is much below the observations in the central part of the wake. The cause of this could be the incomplete treatment of electron dynamics in a hybrid model. Since the electrons are a massless charge neutralizing fluid, there are no forces from the electrons on the ions, except for the electron pressure gradient term in the definition of the electric field (Eq. (1)). In reality, the refill of the wake is governed by the electrons. Due to their higher thermal velocity they will speed ahead of the ions to refill the wake, setting up an ambipolar electric field due to the charge separation that will accelerate the ions into the wake (Halekas et al., 2011).
Fig. 8.

The hybrid model proton number density [cm−3] for two different upstream solar wind conditions, compared to WIND observations. Otherwise similar to Fig. 6.

Similarly, the lack of electron dynamics in the hybrid model will affect the electron temperature, Te, in the wake. Observations show an increased electron temperature in the wake (figure 1, Ogilvie et al., 1996). But from Eq. (2), and the ideal gas law, for γ = 5/3, so Te in the hybrid model is then lower in the wake.

4. Discussion

Since the only deviation from axial symmetry is the component of the IMF that is perpendicular to the solar wind flow, we can see that the two extreme cases are when the IMF is perpendicular to the flow, and when the IMF is aligned with the flow. For a constant IMF magnitude, the flow and field for cases when the IMF is at an angle to the flow will be a mixture of these extreme cases, as seen in Fig. 2(2) and Fig. 3(2).

There are many processes related to electron dynamics that are not captured by a hybrid model. The process of plasma expansion into a vacuum has a lot of details, and instabilities that can form (Birch and Chapman, 2001). Also, the region near the lunar surface probably has strong electric fields, and charge separation effects (Farrell et al., 2008). However using the hybrid approximation it is possible to model the global three-dimensional interaction between the Moon and the solar wind, so full PIC models and hybrid models are complementary tools in the study of this interaction. Also, the Moon-solar wind interaction, although seemingly simple, is complex enough to be a good test of the applicability of different models; fluid, hybrid, and PIC models.

We have here considered the simplest possible model of the Moon in the solar wind—a spherical sink of solar wind protons. There are many physical processes that make the real interaction more complex than that. Two examples are magnetic anomalies that deflect the solar wind and will cause downstream disturbances (Lue et al., 2011), and the reflection of solar wind protons by the dayside lunar surface (Holmstrom et al., 2010).

5. Summary and Conclusions

We have presented a fully self consistent three-dimensional hybrid plasma model of the interaction between the Moon and the solar wind and shown the resulting global ion fluxes and fields for typical solar wind conditions and different IMF directions. Magnetic field enhancement in the wake, and a rarefaction wave in density and magnetic field are seen in the model. The two extreme cases are that of an IMF perpendicular to the solar wind flow, and that of an IMF that is parallel to the solar wind flow. We find that the wake for intermediate IMF directions can be seen as a superposition of these two states. Some kinetic effects were also observed in the model. There are density and field variation in the far wake, maybe caused by an ion beam instability from the refill of the wake. Visible are also kinks in the magnetic field at the inner boundary of the rarefaction cone for an IMF perpendicular to the solar wind flow direction.

Observations by the WIND spacecraft were fairly well reproduced by the hybrid model, showing that a hybrid model with the moon as a spherical sink of ions is able to represent many global features of the interaction. However, the model central wake density and electron temperature were different from observations, probably due to the lack of electron dynamics in the hybrid model.

Declarations

Acknowledgments

This work was supported by the Swedish National Space Board, and conducted using the resources of the High Performance Computing Center North (HPC2N), Umeå University, Sweden. The software used in this work was in part developed by the DOE-supported ASC/Alliance Center for Astrophysi-cal Thermonuclear Flashes at the University of Chicago. The work of S. Fatemi was supported by the National Graduate School of Space Technology, Luleå University of Technology

Authors’ Affiliations

(1)
Swedish Institute of Space Physics

References

  1. Birch, P. C. and S. C. Chapman, Detailed structure and dynamics in particle-in-cell simulations of the lunar wake, Phys. Plasmas, 8, 4551–4559, 2001.View ArticleGoogle Scholar
  2. Farrell, W. M., M. L. Kaiser, J. T. Steinberg, and S. D. Bale, A simple simulation of a plasma void: Applications to Wind observations of the lunar wake, J. Geophys. Res., 103, 23653–23660, 1998.View ArticleGoogle Scholar
  3. Farrell, W. M., T. J. Stubbs, J. S. Halekas, G. T. Delory, M. R. Collier, R. R. Vondrak, and R. P. Lin, Loss of solar wind plasma neutrality and affect on surface potentials near the lunar terminator and shadowed polar regions, Geophys. Res. Lett., 35, L05105, 2008.Google Scholar
  4. Fryxell, B., K. Olson, P. Ricker, F. X. Timmes, M. Zingale, D. Q. Lamb, P. MacNeice, R. Rosner, J. W. Truran, and H. Tufo, FLASH: An adaptive mesh hydrodynamics code for modeling astrophysical thermonuclear flashes, Astrophys. J. Suppl. Ser., 131, 273–334, http://flash.uchicago.edu/, 2000.View ArticleGoogle Scholar
  5. Halekas, J. S., Y. Saito, G. T. Delory, and W. M. Farrell, New views of the lunar plasma environment, Planet. Space Sci., 59, 1681–1694, doi:10.1016/j.pss.2010.08.011, 2011.View ArticleGoogle Scholar
  6. Harnett, E. M. and R. M. Winglee, 2.5-D fluid simulations of the solar wind interacting with multiple dipoles on the surface of the Moon, J. Geophys. Res., 108, 1088, 2003.Google Scholar
  7. Holmstrom, M., Hybrid modeling of plasmas, in Proceedings of ENU-MATH 2009, edited by Kreiss, G. et al., 451 pp, arXiv:1010.3291, Springer, 2010.Google Scholar
  8. Holmstrom, M., An energy conserving parallel hybrid plasma solver, Proceedings of ASTRONUM-2010, arXiv:1010.3291, 2011 (submitted).Google Scholar
  9. Holmström, M., M. Wieser, S. Barabash, and Y. Futaana, Dynamics of solar wind protons reflected by the Moon, J. Geophys. Res., 115, A06206, 2010.Google Scholar
  10. Kallio, E., Formation of the lunar wake in quasi-neutral hybrid model, Geophys. Res. Lett., 32, L06107, 2005.View ArticleGoogle Scholar
  11. Kimura, S. and T. Nakagawa, Electromagnetic full particle simulation of the electric field structure around the moon and the lunar wake, Earth Planets Space, 60, 591–599, 2008.View ArticleGoogle Scholar
  12. Kivelson, M. G. and C. T. Russell, eds., Introduction to Space Physics, Cambridge, 1995.Google Scholar
  13. Lue, C., Y. Futaana, S. Barabash, M. Wieser, M. Holmström, A. Bhardwaj, M. B. Dhanya, and P. Wurz, Strong influence of lunar crustal fields on the solar wind flow, Geophys. Res. Lett., 38, L03202, 2011.View ArticleGoogle Scholar
  14. Matthews, A. P., Current advance method and cyclic leapfrog for 2D multispecies hybrid plasma simulations, J. Comput. Phys., 112, 102–116, 1994.View ArticleGoogle Scholar
  15. Mora, P., Plasma expansion into a vacuum, Phys. Rev. Lett., 90, 185002, 2003.View ArticleGoogle Scholar
  16. Ogilvie, K. W., J. T. Steinberg, R. J. Fitzenreiter, C. J. Owen, A. J. Lazarus, W. M. Farrell, and R. B.Torbert, Observations of the lunar plasma wake from the WIND spacecraft on December 27, 1994, Geophys. Res. Lett., 23, 1255–1258, 1996.View ArticleGoogle Scholar
  17. Owen, C. J., R. P. Lepping, K. W Ogilvie, J. A. Slavin, W M. Farrell, and J. B. Byrnes, The lunar wake at 6.8 R L : WIND magnetic field observations, Geophys. Res. Lett., 23, 1263–1266, 1996.View ArticleGoogle Scholar
  18. Samir, U., K. H. Wright, Jr., and N. H. Stone, The expansion of a plasma into a vacuum: basic phenomena and processes and applications to space plasma physics, Rev. Geophys. Space Phys., 21, 1631–1646, 1983.View ArticleGoogle Scholar
  19. Spreiter, J. R., M. C. Marsh, and A. L. Summers, Hydromagnetic aspects of solar wind flow past the Moon, Cosmic Electrodyn., 1, 5–50, 1970.Google Scholar
  20. Trávníček, P., P. Hellinger, D. Schriver, and S. D. Bale, Structure of the lunar wake: Two-dimensional global hybrid simulations, Geophys. Res. Lett., 32, L06102, 2005.Google Scholar
  21. Widner, M., I. Alexeff, and W D. Jones, Phys. Fluids, 14, 795–796, 1971.View ArticleGoogle Scholar
  22. Wiehle, S., F Plaschke, U. Motschmann, K.-H. Glassmeier, H. U. Auster, V. Angelopoulos, J. Mueller, H. Kriegel, E. Georgescu, J. Halekas, D. G. Sibeck, and J. P. McFadden, First lunar wake passage of ARTEMIS: Discrimination of wake effects and solar wind fluctuations by 3D hybrid simulations, Planet. Space Sci., 59, 661–671, 2011.View ArticleGoogle Scholar
  23. Winske, D. and K. B. Quest, Electromagnetic ion beam instabilities: Comparison of one- and two-dimensional simulations, J. Geophys. Res., 91, 8789–8797, 1986.View ArticleGoogle Scholar

Copyright

© The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB. 2012