Issue 
A&A
Volume 517, July 2010



Article Number  A35  
Number of page(s)  16  
Section  Planets and planetary systems  
DOI  https://doi.org/10.1051/00046361/200912376  
Published online  29 July 2010 
Numerical simulation of viscouslike flow in and around the plasma tail of a comet
M. ReyesRuiz^{1}  H. PérezdeTejada^{2}  H. Aceves^{1}  R. Vázquez^{1}
1  Instituto de Astronomía, Universidad Nacional Autónoma de Mexico, Apdo Postal 877, Ensenada 22800, B.C., Mexico
2  Instituto de Geofísica, Universidad Nacional Autónoma de Mexico,
Ciudad Universitaria, C.P. 04510, Mexico D.F.
Received 22 April 2009 / Accepted 2 March 2010
Abstract
Aims. We model the interaction of the solar wind with the
plasma tail of a comet using numerical simulations, taking into account
the effects of viscouslike forces.
Methods. We developed a 2D hydrodynamical, two species, finite
difference code to solve the timedependent continuity, momentum, and
energy conservation equations, and model the interaction of the solar
wind with a cometary plasma tail. We compute the evolution of the
plasma of cometary origin in the tail as well as the properties of the
shocked solar wind plasma around it, as it transfers momentum on its
passage by the tail. Velocity, density and temperature profiles across
the tail are obtained. Several models with different flow parameters
are considered to study the relative importance of viscouslike effects
and the coupling between species on the flow dynamics.
Results. Assuming a Mach number equal to 2 for the incident
solar wind as it flows past the comet's nucleus, the flow exhibits
three transitions with location and properties depending on the
Reynolds number of each species and on the ratio of the timescale for
interspecies coupling to the crossing time of the freeflowing solar
wind. By comparing our results with the measurements taken
by the Giotto spacecraft during its flyby of comet Halley, we constrain the flow parameters for both plasmas.
Conclusions. In the context of our approximations, we find that our model is qualitatively consistent with the
measurements as long as the Reynolds number of both solar wind protons and cometary H_{2}O+
ions is low, less than 100, suggesting that viscouslike momentum
transport processes may play an important role in the interaction of
the solar wind and the plasma environment of comets.
Key words: comets: general  solar wind  hydrodynamics  comets: individual: Halley  methods: numerical  comets: individual: GiacobinniZinner
1 Introduction
The interaction of the solar wind with the plasma environment of comets as they approach the Sun, has been investigated since the early days of space physics (see Biermann 1951; Alfvén 1957; reviews by Cravens & Gombosi 2004, and Ip 2004). The basic elements of the interaction were developed following the work of Biermann (1951), who proposed that the interaction between the solar wind and the comet's plasma is responsible for the observed aberration angle of plasma tails with respect to the Suncomet radius vector. Due to the inefficiency of Coulomb collisional processes in the coupling of the solar wind with cometary plasmas, Alfven (1957) proposed that the interplanetary magnetic field (IMF) is a fundamental ingredient in the interaction between the solar wind and comets, responsible for channelling the cometary ions as it drapes into a magnetic tail. Biermann et al. (1967) suggested that as cometary ions are created and incorporated (pickedup) into the solar wind, the loading of the flow with this additional mass results in a modification of the flow properties as the solar wind approaches a comet, an idea further developed by Wallis (1973) (for a review see Szego et al. 2000). The IMF and mass loading are thus the main dynamical agents generally considered when developing models for the interaction of the solar wind with cometary ionospheres, as well as with other solar system bodies with an ionosphere and without a strong intrinsic magnetic field.
However, as pointed out by PerezdeTejada et al. (1980) and PerezdeTejada (1989), several features of the flow dynamics in the cometosheath and plasma tail of comets can be attributed to the action of viscouslike forces as the solar wind interacts with cometary plasma. These interaction processes are believed to be similar to those known occur in other solar system bodies that have an ionosphere and no significant intrinsic magnetic field, particularly Venus and Mars (for a review see PerezdeTejada 1995; PerezdeTejada et al. 2009 and references therein). In situ measurements indicate that, as in Venus and Mars, the solar wind flow in the ionosheath of comet Halley exhibits an intermediate transition, also called the ``mystery transition'', located approximately halfway between the bow shock and the cometopause (Johnstone et al. 1986; Goldstein et al. 1986; Reme 1991; PerezdeTejada 1989, and references therein). Below this transition, as we approach the cometopause, the antisunward velocity of the shocked solar wind decreases in a manner consistent with a viscous boundary layer (PerezdeTejada 1989). The presence of viscouslike processes is also supported by the increase in the gas temperature, and the decrease in density, as we move from the intermediate transition to the cometopause. Taking the distance between the intermediate transition and the cometopause to represent the thickness of a viscous boundary layer, which depends on the effective Reynolds number of the flow ( ), PerezdeTejada (1989) estimated that for the solar wind flow in the cometosheath is necessary to reproduce the flow properties measured in situ by the Giotto spacecraft on its flyby of comet Halley.
Additional support for the importance of viscouslike effects in the dynamics of the flow in the cometosheath and tail regions, is provided by comparing the magnitude of the terms corresponding to momentum transport caused by viscouslike forces with the forces in the momentum conservation equation. PerezdeTejada (1999, 2000) argued that downstream of the terminator in the ionosheath of Venus, a scenario analogous to that considered in this paper, the fact that the flow is superalfvenic, as found from the in situ measurements of the Mariner 5 and Venera 10 spacecraft, suggests that viscouslike forces may dominate over forces in the flow dynamics in the boundary layer formed in the interaction between the solar wind and ionospheric plasma. If the flow were characterized by a low effective Reynolds number, , this layer would extend over a significant portion of the ionosheath of the planet.
For comets, in situ measurements obtained during the passage of the ICE spacecraft through the tail of comet GiacobinniZinner (Bame et al. 1986; Slavin et al. 1986; MeyerVernet 1986; Reme 1991) indicated that along the inbound trajectory (which lies slightly tailward of the comet nucleus) the magnetic field in the socalled transition and sheath regions, is approximately 10 nT, the number density is approximately 10 cm^{3} and the tailward flow velocity varies from 400 km s^{1} (near the bow shock) to 100 km s^{1}. According to PerezdeTejada (1999), the ratio of viscouslike to magnetic forces is essentially the square of the alfvenic Mach number, . From the data of the ICE spacecraft cited above, we find that ranges between 4 and 40 across the cometosheath and hence, viscouslike stresses may dominate over forces by a similar amount, or more, throughout the cometosheath region tailward of the nucleus. In the vicinity of the plasma tail, the measurements of the ICE spacecraft (Bame et al. 1986; Slavin et al. 1986) indicate that the midplane density, dominated by cometary ions, reaches values of 200 cm^{3} at the point where the magnetic field has its maximum strength of 50 nT. With flow speeds of approximately 20 km s^{1}, the square of the alfvenic Mach number reaches a minimum value of 23 so that, even in the plasma tail, viscouslike forces are, at least, as important as forces following the arguments of PerezdeTejada (2009).
That in the cometosheath means that the magnetic energy density is much smaller than the kinetic energy density associated with the inertia of the plasma. This implies that forces are not the dominant dynamical factor responsible for the largescale properties of the flow in the region. One can argue that the formation of a magnetic tail is an indication that in the cometosheath, the largescale magnetic field does not dominate the dynamics, but is merely carried around by the superalfvenic flow. If the dynamics were controlled by the magnetic forces, field lines would not bend onto a magnetic tail and the direction of the ion tail would not be essentially in the direction of the local solar wind velocity. We believe that the magnetic field does play a crucial role in the momentum transfer between the solar wind and the cometary plasma, but it is the smallscale, ``turbulent'' magnetic field component that mediates the microscopic interaction between charged particles, leading to the transfer of momentum that we model as an effectively viscous process.
In this paper, we present results of 2D hydrodynamical, numerical simulations of the flow of solar wind and cometary H_{2}O+ ions in the tail and tailward cometosheath of a comet. This is our first attempt to model the interaction of the solar wind with the plasma environment of a comet taking into account viscouslike forces. We review the estimation of the effective Reynolds number of PerezdeTejada (1989), by comparing in situ measurements of comet Halley with results from numerical simulations of the viscouslike, compressible flow of the solar wind over a dense, cold, and slow velocity gas representing the plasma tail of a comet. We also study the relative importance of viscouslike forces and the coupling between the fast moving protons of the solar wind and the slow H_{2}O+ ions in the tail by comparing models with different values of the effective Reynolds number, the parameter controlling viscouslike effects, and the effective coupling timescale between both species.
The paper is organized as follows. In Sect. 2 we briefly review our ideas about the origin of the viscouslike forces believed to operate in the solar windcomet plasma interaction. A description of the problem that we attempt solve and the methodology used, the basic equations, approximations, and main parameters, is given in Sect. 3. Section 4 presents results of a series of simulations with different model parameters. A comparison of our results with in situ measurements at comet Halley is discussed in Sect. 5. Finally, in Sect. 6 we summarize our main results and present our conclusions.
2 On the origin of ``viscosity''
The precise origin of the viscouslike momentum transfer processes invoked in the viscous flow interpretation of the intermediate transition, in both the ionosheath of comet Halley and other ionospheric obstacles to the solar wind, remains unclear. Typical properties of solar wind and cometosheath plasma result in a ``normal'' or ``classical'' viscosity, as it appears in the NavierStokes equations when derived from Boltzmann's equation, which can be considered negligible in the dynamics of the flow. Using, for example, properties of the shocked solar wind in the vicinity of the plasma tail measured at comet GiacobiniZinner, n_{i} = 10 cm^{3}, B = 10 nT and K (Bame et al. 1986; Slavin et al. 1986), one can calculate the ``classical'' viscosity coefficient resulting from particle interactions according to Spitzer (1962, Eq. (5)(55)) to be g cm^{1} s^{1} . This extremely low value for the ``normal'' viscosity coefficient, reflects the inefficiency of momentum transport across field lines via collisions in a plasma threaded by a strong, uniform magnetic field.
The relative importance of viscous effects on the flow dynamics can be estimated from the Reynolds number, Re, characterizing the flow. For a viscosity coefficient and gas density , measures the ratio of the inertial terms to the viscous terms in the momentum conservation equation. For typical values of the solar wind velocity and mass density in the cometosheath around the tail of comet GiacobiniZinner, V = 200 km s^{1} and gm cm^{3}, respectively (Bame et al. 1986), and adopting a characteristic lengthscale of 10^{5} km for the variation in the flow velocity (roughly the thickness of the sheath region), we find that the corresponding Reynolds number for the flow, based on the normal viscosity coefficient estimated above ( g cm^{1} s^{1}), is . This indicates that viscous forces resulting from the collisions between particles in this environment are negligible in the flow dynamics. If viscouslike processes such as those invoked in this study were to play a role in the dynamics of the flow, they would have to arise from noncollisional processes. In the following paragraphs, we discuss some possible mechanisms responsible for the origin of this effective or anomalous viscosity.
As in Venus and Mars, strong fluctuations in the magnetic field have been measured in the ionosheath of comets Halley and GiacobinniZinner (Baker et al. 1986; Scarf et al. 1986; Klimov et al. 1986; Tsurutani & Smith 1986) which possibly affect the transport properties in these plasmas. Cravens et al. (1980) derived an expression for the effective heat conductivity in a plasma threaded by a fluctuating magnetic field, on the basis of a quasilinear theory of particle transport. Assuming that the Prandtl number of the flow is near unity, PerezdeTejada (2005) calculated the effective viscosity coefficient for the ionosheath of Venus based on these results. If we use the same procedure to calculate the effective viscosity coefficient for the solar wind around the tail of a comet (with the conditions measured at comet GiacobiniZinner, Bame et al. 1986; Slavin et al. 1986), we find g cm^{1} s^{1}. Even this value for the viscosity coefficient, six orders of magnitude greater than the ``normal'' coefficient described above, still yields viscous forces that are dynamically unimportant. The effective Reynolds number, based on this effective viscosity coefficient and the flow properties described above is Re > 10^{5}, indicating that ``viscosity'' resulting from magnetic field fluctuations is negligible, at least as estimated by Cravens et al. (1980). Assuming that the Prandtl number is not very different from unity, as argued to be true by PerezdeTejada (2005), we can also neglect the heat conduction caused by these processes.
Another possibility is that, as occurs in many fluid dynamical applications, turbulence, such as that detected in comet GiacobinniZinner (Tsurutani & Smith 1986), is characterized (sometimes even defined) by a dramatic increase in the efficiency of transport processes in the flow. In the case of momentum transport this leads to the concept of turbulent or eddy viscosity (Lesieur 1990). Notwithstanding the significant uncertainties in the precise formulation of turbulent ``viscous'' stresses in terms of the largescale flow properties, particularly in MHD turbulence, the likely importance of eddy viscosity in the flow within the cometosheath is expected because of the large value of the Reynolds number as estimated above.
Finally, as discussed by Shapiro et al. (1995) and Dobe et al. (1999, and references therein), conditions in the ionosheath of Venus and Mars favour the development of plasma instabilities leading to effective waveparticle interactions. If this mechanism were also to operate in cometosheaths, it may lead, as in these planets, to increased coupling between the solar wind and cometary plasma in a viscouslike manner, as suggested by PerezdeTejada (1989).
The study of the precise mechanism(s) leading to efficient momentum transfer between solar wind and cometary plasma, as suggested by the present study, is beyond the scope of this work. However,we consider that a detailed study of the importance of viscouslike effects on the flow dynamics in solar windcomet interactions, in the context of a phenomenological model, is justified by the preceding arguments and may serve to constrain their relative importance of the different flow parameters. It is the purpose of this paper to begin these investigations.
3 Model description
We model the interaction of the solar wind with the plasma tail of a comet using a 2D hydrodynamic, finite difference code for two species (a and b), that is an extension of the single species version presented in ReyesRuiz et al. (2008). We include in the dynamical equations a coupling term between both of the species, solar wind protons and cometary ions, which we assume to be H_{2}O+ ions. This term allows the solar wind flow to become mass loaded with cometary ions as they diffuse upwards from the tail, and cometary ions to be accelerated by the fast, streaming solar wind. The coupling term is taken from the work of Szego et al. (2000), who describe the treatment of massloaded plasmas. However, to isolate the effects of the viscouslike forces, we do not consider the ongoing creation of new ions in the flow, by photoionization or any other mechanism, as is usually performed in mass loading studies. Since we model only the flow in and around the tail of the comet, the only source of additional ions in our problem is by means of the boundary condition at the lefthand edge of our simulation box (Sect. 3.3). It is clear that the 2D character of our simulations is an approximation of the true problem and may not allow us to study some processes that may be essential to the dynamical evolution of the flow. We make this approximation by considering that this is the first approach to the problem in which viscouslike forces are taken into account. We also neglect the effect of the IMF entrained in the solar wind flow, and leave to future work the study of the dynamical effects of forces, although we do not expect these to be dominant in the region (see our arguments in the Introduction section).
Since we are interested in the gas dynamics in the tail, we focus on the region behind the coma, starting from a few times 10^{4} km behind the comet's nucleus and extending downstream to a few times 10^{5} km as illustrated in Fig. 1.
Figure 1: Illustration of the computational domain we use in our simulations. The box provides an approximate scale of the simulated region. Image of comet Halley taken the day of the encounter with Giotto by Miller, University of Michigan/CTIO (Brandt et al. 1992). 

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3.1 Basic equations
The present code solves the equations of mass, momentum,
and energy conservation, including terms representing the
viscouslike effects and interspecies coupling due to turbulence and/or
waveparticle interactions. In cartesian coordinates and in conservative form, for species a, these can be written as
where
(2) 
and the interspecies coupling term
In the preceding equations, is the mass density of gas a, V_{x}^{a} and V_{y}^{a} are its velocity components, T^{a} is its temperature, and E_{t}^{a} is the total energy density of species a defined by
(6) 
with e^{a} being the internal energy per unit mass. In Eqs. (3) and (4), the coefficients k_{i}^{a} (i=1,5) are the following combinations of dimensionless numbers and the adiabatic index for the gas, :
(7) 
(8) 
(9) 
(10) 
(11) 
where the Mach number (M_{o}), the Reynolds number ( ), and Prandtl number (Pr^{a}) for the flow of gas a, are defined, respectively, as
(12) 
(13) 
(14) 
The quantities with subindex o are those used for the normalization of the flow variables and parameters, the reference sound speed is defined as , c_{p}^{a} is the specific heat at constant pressure for gas a, and L is the normalization for the spatial coordinates. For simplicity, we assume that the flow parameters, and , are uniform and that , , and .
We note that this form of the interspecies coupling term, although widely used in multispecies gas modelling in various astrophysical scenarios (e.g. Schunk & Nagy 1980; Draine 1986; Cravens 1991; Falle 2003; Van Loo et al. 2009; Szego et al. 2000, and references therein) can be derived strictly from the Boltzmann collision integral only for the case corresponding to Maxwell molecules (see for example Gombosi 1994). We use it to represent a similarly simple, alternative expression for charged particles, and it must be considered an approximation of uncertain validity in our case. Schunk (1977) discussed the modifications to these expressions for the interspecies coupling of electrically charged molecules and in future contributions we shall explore the effect of these modifications. In the present calculations, we chose this approach to modelling a multispecies flow, which follows the dynamics of each species separately, instead of an approach following a single fluid composed of many different species, to clearly distinguish the widely different properties ( , etc.) of solar wind and cometary ions.
The coupling between species represented by the term in Eq. (1) is taken from the work of Szego et al. (2000), and has the form of the traditional coupling resulting from binary collisions. The term contained in , reflects the effective result of all processes able to transfer momentum and energy from one species to another. We note that in the adimensional form of the equations is actually , which can be considered to be the ratio of the flow crossing time, t_{o} = L/V_{o}, to the interspecies coupling timescale, . To preserve the symmetry between the coupling terms for both species, guaranteed by the identity , we scale as and as with a single proportionality constant, , which we assume to be uniform and constant. In our present code, enters as a parameter that can be varied to compare the importance of interspecies coupling to viscouslike forces.
The terms T_{xx}^{a}, T_{xy}^{a} and T_{yy}^{a} in Eqs. (3) and (4) represent the components of the viscouslike stress tensor
given by
(15) 
(16) 
and
(17) 
As in multiple fluid dynamics applications (Lesieur 1990), we use the Boussinesq hypothesis in writing the Reynolds stress tensor, we adopt a ``standard'' form for the relation between the viscouslike stress tensor and the largescale flow velocity, using an effective viscosity coefficient that encapsulates turbulent viscosity as well as the possible effect of waveparticle interactions or any other plasma instabilities leading to an increased coupling between ions in these collisionless plasmas.
In Eqs. (3) and (4),
and
are the components of the effective heat flux vector for species a(based on the Boussinesq hypothesis)
(18) 
and
(19) 
Furthermore, we assume throughout this work that both gases are ideal so that
(20) 
for the equation of state, . We assume that both the solar wind plasma and the cometary plasma, in the tail region, are characterized by an adiabatic index, . In Sect. 4, we present some results for , and discuss the effects of changing this property of the cometary plasma.
An analogous set of equations and definitions are written for species bby interchanging the superscripts a and b in Eqs. (1)(20), with . All equations are coupled by the source term in Eq. (1), and solved simultaneously.
3.2 Numerical code
The set of equations described above is discretized in space using 2nd order
finite differences,
and is advanced in time using an explicit, 2nd order MacCormack scheme
(Anderson 1995). The implementation of the scheme is an extension of
that described in ReyesRuiz et al. (2008), but now with the additional source term
in the equations of motion. In MacCormack's scheme, the solution is
advanced over one timestep by a sequence of intermediate steps, called
the predictor and corrector steps. In the predictor step, an
intermediate solution ()
is calculated from the values of the physical variables,
,
at a given time, t, and position, (x_{i}, y_{j}), according to
(21) 
where , and , , and are evaluated with according to Eqs. (3)(5). This predicted solution is then corrected to obtain the solution at the subsequent time, , using
+  
  (22) 
where , , and are computed from using Eqs. (3)(5). Additional details of the implementation of MacCormack's scheme are given in ReyesRuiz et al. (2008).
A final upgrade to our previous code
is the ability to handle some types of nonuniform, cartesian grids. For
the simulations performed in this work, the
grid is defined by a series of (x_{i}, y_{j}) coordinates for which the
spacing is arbitrary. In our simulations, the x_{i} points are geometrically
distributed from
to
with nx elements. The y_{j}points are equispaced from the initial location of the tail (i.e. from y = 0
to y = 1 at 30 gridpoints) and geometrically distributed from y = 1 to
.
In both series, the common ratio is 1.02. The 2nd order approximation of the xderivative of a function f at x_{i} can be easily obtained from the Taylor series expansion of the function at x_{i1} and x_{i+1}, and is given by
where . An analogous expression exists for the yderivative. This grid allows a higher resolution in the vicinity of the region of strong interaction, while placing the boundary sufficiently far away to avoid numerical artefacts in our results.
3.3 Initial and boundary conditions
The solution for the flow is evolved from the following initial conditions.
A dense, cold, slow moving plasma representing the tail is located between
y=0 and y=1. Both H_{2}O+ and H+ ions are present in the tail, but
protons are far less abundant than H_{2}O+. Between y=1.5 and
,
the gas has the properties of a shocked, hot, fastmoving solar wind
that contains both H_{2}O+ and H+ ions, its number density of protons
being 50 times higher than H_{2}O+. In all the calculations presented
here, we adopted a value M_{o} = 2 for the Mach number of the shocked
solar wind incident on our computational domain. This assumption is made
based on the results of Spreiter & Stahara (1980), who computed the
gas dynamics of the flow of the shocked solar wind in the ionosheath of
Venus. Spreiter & Stahara (1980) found that the flow is characterized
by M = 2, as the solar wind crosses the terminator of the planet (the
line separating the day and night sides) and
heads tailwards. In comets, we take the terminator to coincide approximately
with the location of the nucleus.
Between y=1.0 and y=1.5, there is
transition region where the flow properties change smoothly in an exponential
manner from those in the tail to those in the solar wind. The initial density
of each species is taken to be
We assume that both species move initially with the same velocity
In normalized quantities, and . For the results shown here, we use, in normalized variables, and . The local temperature of both species is assumed to be the same inside the tail, where and , with being in normalized units. Outside the tail, for y > 1.5, cometary ions are injected with a temperature an order of magnitude lower than the streaming solar wind protons, . These choices of temperatures and densities are made to ensure an initial pressure balance between the H_{2}O+ plasma (species b) inside the tail, and the proton plasma (solar wind, species a) outside. For and , where m_{p}^{a} and m_{p}^{b} are the particle masses of species a and b, respectively, we find that our choice of initial conditions is characterized by a pressure inbalance among each species. In future studies, we propose to determine whether the rapid movement of cometary ions resulting from this initial condition is prevented by the wrappedaround IMF over the comet's tail. Although significantly different from the flow properties at later times in the simulations, for all cases we have studied these initial conditions do not give rise to any longlasting instability in the flow, so the final state does not depend on their precise form or value.
The boundary conditions are chosen to be consistent with the initial conditions. At the left boundary, , the flow density and velocity follow exactly those given by the initial conditions in Eqs. (23)(26). Since the inflow to the comet's tail (y<1) is subsonic, we allow the inflow pressure to float freely as a linear extrapolation of the active mesh values (e.g. Anderson 1995). The righthand boundary, , corresponds to the commonly used outflow conditions for supersonic flows, namely the derivatives being zero for all flow variables. We also performed simulations with an outer boundary condition obtained by linearly extrapolating the flow variables, resulting only in minor differences in the last gridpoints before the boundary.
4 Results
We performed a series of simulations with different set of parameters and to determine the effect of viscous forces and interspecies coupling in the flow dynamics. In all cases considered, the flow evolves from the prescribed initial condition (Eqs. (23)(26)), passing through a fast transient phase, during which a considerable portion of the mass originally in the tail is eroded by the solar wind exiting our simulation domain. The relevance of this transient phase, which lasts a few tens of solar wind crossing times ( t_{o} = L/V_{o}), relative to the observed features that form in the ion tail, will be analysed in a future publication. In this work, we concentrate on the quiescent stage of evolution because its longer timescale implies that it is more likely to be observed. In all cases, we present results for the flow velocity, density and temperature after a time long enough for the quasisteady state to have been reached. All results are presented in terms of the normalized quantities defined in the previous section. The appropriate values of L, V_{o}, , and T_{o} can be chosen for a particular application, as exemplified in Sect. 4 for comet Halley.
To determine the appropriate effective Reynolds number for each species, we consider the following. According to PerezdeTejada (1989), the geometry of the flow, measured in situ by the Giotto spacecraft in its flyby comet Halley in March 1986, implies an effective Reynolds number of about 350 for the shocked solar wind flow above the cometopause along the spacecraft trajectory. For a similar region in the ionosheath of Venus, PerezdeTejada (1999) and ReyesRuiz et al. (2008), in contrast, estimate a value of the Reynolds number an order of magnitude lower ( ); this is based on a comparison of in situ measurements (by the Venera 10 and Mariner 5 spacecraft) at Venus with the flow properties derived from a numerical simulation of the viscouslike solar windionosphere interaction. To assess the estimation of PerezdeTejada (1989) we conducted simulations with 3 different values of the Reynolds number: (i) A high value, , similar to that estimated by PerezdeTejada (1989) for comet Halley; (ii) an intermediate value, , comparable to the value estimated by ReyesRuiz et al. (2008) for the solar wind flow in the ionosheath of Venus; and (iii) a low value, , used to verify the trend detected in the results as is decreased.
In most cases, the value of the effective Reynolds number for both species is assumed to be the same. In our view, the lack of knowledge of the precise mechanisms causing the effective viscosity in these plasmas justifies this assumption. However, we did analyse a case with different values of the effective Reynolds number for each species which we describe in the Discussion section.
The value of is also varied to explore the relative importance of interspecies coupling, versus viscous forces, which are proportional to . We show results for 3 different cases: a strong coupling case characterized by , which can be interpreted as having a timescale for interspecies coupling equal to the solar wind crossing timescale, t_{o} = L/V_{o}; a medium coupling case, in which the coupling timescale is an order of magnitude greater than the crossing timescale, ; and a weak coupling case, for which , so that interspecies coupling effects are much smaller than other dynamical effects.
To compare the state of the flow at the same time in its evolution for all cases, starting from the same initial condition, we have chosen, arbitrarily, to show results at t = 1234, with time units in multiples of the solar wind crossing time. The number of timesteps required to reach this time depends on the model parameters, but in most cases is less than 200 000.
Figure 2: Density contours (shades of gray) and flow geometry (velocity vectors) for case 1 ( Re^{a,b} = 30, ) after 1234 simulation time units. The top panel shows the configuration for the proton plasma (species a) and the right side panel shows the ``equilibrium'' configuration for cometary H_{2}O+ ions. Density and velocity are in normalized units. 

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Figure 3: Vertical profiles of the flow properties for case 1 at three different positions; x = 2 ( left column of panels), x=5 ( middle column), and x=8 ( right column). In all cases, grey lines indicate the properties of the proton plasma (species a) and black lines denote the properties of the H_{2}O+ plasma (species b). The top row shows the x component of velocity, V_{x}^{a,b}, the middle row shows the temperature, T^{a,b}, and the bottom row shows the mass density, . All quantities are in normalized units. 

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Figure 4: Same as in Fig. 3 but for simulation case 2 ( , ). 

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4.1 Effect of interspecies coupling
Our fiducial model, case 1, is characterized by model parameters and . In Fig. 2, we show density contours and the flow velocity for each species. The tail initially contains a uniform density, (protons) and (H_{2}O+ ions) for y < 1, and after t = 1234 t_{o}, a significant portion of the tail has been eroded by the effect of viscous forces and interspecies coupling. A shock wave is evident in the deflection of the flow velocity from the initial uniform distribution imposed by the boundary condition at . Also noticeable is the strong velocity gradient around y = 2, which corresponds to the viscous boundary layer. Both effects are also shown in Fig. 3, where vertical profiles of the x component of velocity, V_{x}, temperature, T, and mass density, , are shown for three different xpositions, , and 8; in the left, middle, and right columns of each figure, respectively.
In Fig. 3, the shock front and the boundary layer can be identified at all 3 positions, but they are well separated only for x = 5 and x = 8, shown in the middle and right hand columns, respectively. For a given V_{x} profile, the shock front corresponds to the uppermost decrease from the uniform velocity (V_{x} = 1) in the freeflowing solar wind. In the middle panel, corresponding to x = 5, this transition is located approximately at y = 5. A second transition, located approximately at y = 2.5 for x = 5, marks the top of the viscous boundary layer, below which the velocity drops sharply to the very low flow velocities in the middle of the tail. The shock front can also be seen as an increase in both temperature and density in the corresponding panels for each position. The temperature increase and density decrease that are characteristic of viscous boundary layers and have been found in previous studies of viscous flow over a flat plate (e.g. ReyesRuiz et al. 2008), is also observed in other cases modelled here. This clearly indicates that the region around y = 2 (at x = 5) is indeed a viscous boundary layer.
Figure 5: Same as in Fig. 3 but for simulation case 3 ( , ). 

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For case 2, we use the same Reynolds number, , as in case 1, but increase the importance of interspecies coupling by using . A figure showing the general flow geometry is not shown since no appreciable differences are found with case 1 (shown in Fig. 2). However, the vertical profiles of flow properties, shown in Fig. 4, clearly illustrate the effect of a much stronger interspecies coupling used in this model. Since, as both species are more tightly coupled, their velocity and temperature distributions tend to be almost identical. The density distribution conforms to the respective boundary conditions of each species; since these conditions are different, there is no reason why both densities should tend to equalize and they do not. Figure 4 shows that the shock front and the boundary layer are not well separated at the rightmost position shown, x = 2. From the shock front height and boundary layer thickness shown in the middle and right columns of Fig. 4, we see that both are proportional to the interspecies coupling (see Sect. 4). The shock front height at x = 5, for example, changes from y = 4.7 for case 1, to y = 5.5 in this case, while the thickness of the boundary layer goes from y = 2.8 to y = 3.2 as we increase the interspecies coupling parameter from 0.1 to 1.
In Fig. 5 we show the results for case 3 characterized by a very weak interspecies coupling, . The general flow geometry (not shown) is very similar to that in Fig. 2. A comparison of Fig. 5 (weak coupling) with Figs. 3 and 4 (medium and strong coupling, respectively), clearly shows that in case 3 the dynamics of both species is essentially uncoupled. The location of the shock front and the top of the boundary layer are different for each species. For example, at x = 5, the shock front and boundary layer can be clearly distinguished only for the cometary H_{2}O+ ions. For the H_{2}O+ ions, the shock front is located at approximately y = 5 and the top of the boundary layer is at y = 2.5, while for protons the shock front and the top of the boundary layer are both located around y = 2.
Figure 6: Same as in Fig. 2 but for simulation case 4 ( , ). 

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4.2 Effect of viscouslike forces
To analyse the effect of the viscouslike momentum transport between the solar wind and material in the comet's plasma tail, we compare 3 simulations with the same interspecies coupling parameter, , but different values of the effective Reynolds number. Figures 6 and 7 shown the resulting flow geometry and vertical profiles, respectively, for our case 4, characterized by a higher viscosity corresponding to a lower effective Reynolds number, , than case 1. Comparing the global geometry of the flow in this case (Fig. 6) with that in a case with a higher Reynolds number, (Fig. 2), we see that after 1234 crossing times, the erosion of the tail is much greater in this high viscosity case for both species. This result is expected as well as the increase in the thickness of the boundary layer as we decrease the effective Reynolds number. This can be clearly seen when comparing the vertical profiles of the flow properties shown in Fig. 3 (medium viscosity) and Fig. 7 (high viscosity). For example, as shown in Fig. 7 for x = 5, the top of the boundary layer increases from y = 2.8 for Re^{a,b} = 30 to approximately y = 3.7 for . The increased thickness of the boundary layer as we decrease , effectively represents a more blunt obstacle to the solar wind flow. Hence, the height of the boundary layer also increases as we decrease Re^{a,b}. This is also shown in Fig. 7 where, for example at x = 5, the height of the shock front is located at approximately y = 7, about 2 scale units higher than the shock front location for the model with lower effective viscosity (Fig. 3).
Figure 7: Same as in Fig. 3 but for simulation case 4 ( , ). 

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The trend noted above between high ( ) and medium effective viscosity ( ) is confirmed by comparing with results for an even lower viscosity, such as case 5, which corresponds to a model with Re^{a,b} = 100, shown in Figs. 8 and 9. As expected, a decreased viscosity leads to significantly less erosion of the tail than in cases 1 and 4 (medium and high viscosity respectively) as shown in Fig. 8. As discussed above and shown in Fig. 9, the top of the boundary layer also decreases as we increase the Reynolds number, and the location of the shock front also consequently decreases. For example, in the profiles corresponding to x = 5 in Fig. 9, we find that the top of the boundary layer decreases from y = 2.8 for , to y = 2.2 for . The location of the shock front goes from y = 4.8 for to approximately y = 3.7 for .
5 Discussion
Owing to the uncertainty in establishing the physical mechanisms causing the effective viscosity, we have assumed that the effective Reynolds number of both species are identical in the calculations presented above. However, we have also performed simulations in which the effective Reynolds number of each species differ and find that for a medium value of the interspecies coupling, , the results are almost identical to those with a single value for the effective Reynolds number of both species (equal to the effective Reynolds number of species b). For example, for a case with , , and , the vertical profile of flow properties for the H_{2}O+ ions at all x locations is almost identical to that shown for case 4 in Fig. 7, which is characterized by and . The vertical profile of flow properties for the protons, while not identical, is still very similar to case 4. This suggests that viscous stresses, particularly in the species that dominates the mass of the problem, are the dominant factor in the flow dynamics in the context of our model.
As mentioned in Sect. 3, we have assumed in the results presented above that the adiabatic index of both species is the same, i.e. . While this value of can be safely assumed for the solar wind plasma (assuming thermal equilibrium for the species), it is not so clearly valid for the H_{2}O^{+} plasma in which the excitation of rotational and vibrational degrees of freedom may lead to a lower value of (again assuming thermal equilibrium for the species). To illustrate the effect of a different, lower value of the adiabatic index for cometary plasma, we have also conducted simulations with a value for the adiabatic index of the H_{2}O^{+} plasma. This value corresponds to a gas composed of triatomic molecules in thermal equilibrium at a high enough temperature for all molecular degrees of freedom to be excited. The results for this case, and , with the same effective viscosity and interspecies coupling parameters as case 1 ( and ) are shown in Fig. 10, which shows the vertical profiles of V_{x}, T, and for both species in both cases.
When comparing Fig. 10 ( ) and Fig. 3 ( ), it is clearly evident that if the cometary plasma is characterized by a lower value of the adiabatic index, the heating of the H_{2}O^{+} plasma is significantly reduced in the boundary layer, since part of the dissipated energy goes to the excitation of the additional degrees of freedom corresponding to the lower value of . This leads to a smaller amount of plasma expansion in the region and a thinner velocity boundary layer. The height of the shock front is consequently reduced. In future contributions, we shall consider the appropriate value of for the cometary plasma.
5.1 Comparison with in situ measurements
We have found that a comparison of our results with the in situ measurements performed by the Giotto spacecraft, as it flew by comet Halley in March of 1986, is not straightforward. The simplified geometry we use in our simulations to study the interaction in the tail region exclusively, precludes a direct comparison. Nevertheless, some insight into the implications of our results can be obtained from a simplified comparison.
Once a particular application scenario has been chosen, we can establish the values for the characteristic length, velocity, density, and temperature used in the adimensionalization of the equations of motion (Sect. 3). For comet Halley, we interpret the in situ measurements reported in Goldstein et al. (1986), Johnstone et al. (1986), and PerezdeTejada (1989) by adopting the parameters L = 150 000 km, V_{o} = 250 km s^{1}, gm/cm^{3}, and K.
According to Johnstone et al. (1986), the Giotto spacecraft observed 3 distinct transitions in the plasma properties on its inbound trajectory towards comet Halley's nuclear region: (1) the outermost transition occurs about 900 000 km from the point of closest approach and can be identified with the bow shock crossing; (2) the cometopause, where a strong increase in the density of cometary ions is observed, can be located at around 150 000 km from closest approach (PerezdeTejada 1989); (3) approximately midway between the shock location and the cometopause, at about 400 000 km from closest approach, the socalled intermediate transition delineates the top of the viscous boundary layer according to the viscous flow interpretation of the solarwindcomet interaction given by PerezdeTejada (1989). Pending a more detailed comparison of the Giotto measurements with the results of our simulations, which should take into account the full geometry of the problem, we identify the cometopause detected in the measurements with the region of very strong H_{2}O+ density increase in our simulations, located at y = 1.0 (approximately) in our normalized units. Based on this assumption, in Fig. 11 we compare the thickness of the boundary layer and the height of the shock front evaluated from our simulation results at x = 5, for models with different effective Reynolds number ( ) and interspecies coupling parameter (). As already seen, both the thickness of the boundary layer and the height of the shock front decrease with increasing Reynolds number so that, almost irrespective of the value of , a low value of is required to explain the measured transition locations.
Figure 8: Same as in Fig. 2 but for simulation case 5 ( , ). 

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In Fig. 11, the dependence of the transition locations on the value of the interspecies coupling parameter is clearly evident. In simulations with a strong interspecies coupling, the solar wind ions are able to transfer momentum to cometary ions more efficiently giving rise to a thicker boundary layer and higher shock front. The opposite is true when both species are weakly coupled ( ). In this case, solar wind ions flow by cometary plasma interacting very weakly. A smaller amount of momentum is transferred between the solar wind and cometary plasma in a situation reminiscent of a high Reynolds number case. Our analysis of scaleheights is not only based on the properties of the velocity profiles in our simulations. As pointed out by PerezdeTejada (1989), there are corresponding changes in the density and temperature of the gas as it enters a boundary layer. The heating and expansion characteristics of the viscous boundary layers can also be discerned our results, particularly for cases with a low Reynolds number and high interspecies coupling parameter.
Figure 9: Same as in Fig. 3 but for simulation case 5 ( , ). 

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Figure 10: Comparison of the vertical profiles of flow properties for a case characterized by the same value of and as case 1, but with . Profiles at x = 2 ( left column of panels), x=5 ( middle column) and x=8 ( right column) are shown. Gray lines indicate the properties of the proton plasma and black lines denote the properties of the H_{2}O+ plasma. All quantities are in normalized units. 

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We note that similar properties of the flow were also measured by the ICE spacecraft in its flyby through comet GiacobinniZinner as discussed in Ip (2004). A comparison of the location of the transition from the sheath region to the socalled transition region and the bow shock location as estimated by Reme (1991), corrected for the different height of the cometopause, yields very similar relative positions to those shown by the dotted lines in Fig. 11 for the transitions in comet Halley. In future work, we will address the differences between the measured flow properties of comets Halley and GiacobinniZinner.
5.2 Implications for 3D geometry
We emphasize that the geometry presented in this paper corresponds to a 2D model. In Venus, as discussed by PerezdeTejada (1995), the viscouslike interaction between solar wind and ionospheric plasmas occurs preferentially over the magnetic poles of the planet (defined in terms of the incident IMF), where the pileup of magnetic field lines is less than around equatorial latitudes. According to PerezdeTejada (1995), up to about 80 SZA, the piledup magnetic field over the dayside ionosphere and along the flanks, inhibits to some degree a direct, viscouslike interaction between solar wind and ionospheric plasmas.
If we apply these ideas to the solar windcomet interaction, this implies that the flow properties we have computed here, correspond more closely to locations over and downstream from the magnetic poles of the comet. For different locations along the tail, the piledup magnetic field may prevent an efficient viscouslike dragging of ionospheric material, forces may be more important, and the flow dynamics may be more accurately modelled in terms of an MHD model, such as those of Wegmann (2002) and Jia et al. (2007). As the IMF is constantly changing direction on a wide range of amplitudes and timescales, the region of viscouslike interaction between the solar wind and cometary plasma, changes with time. Given that the typical IMF orientation is approximately in the ecliptic plane, one should expect the flow within +/20, measured in the ydirection (as typically defined) from the magnetic poles of the comet, to be more accurately described by our model.
6 Conclusions
We have presented results for the numerical simulation of the interaction between the solar wind and the plasma in the tail of a comet, taking into account the effect of viscouslike stresses previously argued to be important by PerezdeTejada et al. (1980). To our knowledge, this is the first time that viscouslike effects have been incorporated into these studies. Our results indicate that there are of 3 distinct transitions in the flow properties: an outermost transition corresponding to the shock front, and innermost transition related to the cometopause and an intermediate transition, which we can identify with the height of the boundary layer characterized by a steep decline in the antisunward flow velocity, and the onset of plasma heating and expansion due to viscouslike dissipation. The locations of these transitions depend on the flow parameters, namely the effective Reynolds number of the flow for each species, , and the interspecies coupling parameter, .
By comparing the flow properties from our numerical simulations to the locations of the shock front and intermediate transition measured by the Giotto spacecraft as it approached the nucleus of comet Halley, we have found that, almost irrespective of the strength of the interspecies coupling, , a low value of the effective Reynolds number, of approximately for both species, is required to reproduce the measured transition locations. In the context of our model, this implies that the measured flow properties cannot be explained if one does not take into account the viscouslike forces in the interaction of the solar wind and the plasma tail of a comet. Although the conclusions drawn from this study are strictly applicable only to comet Halley and solar wind conditions at the time the in situ measurements were taken, one may speculate that viscouslike processes may be important in general to the solar windcomet interaction.
This has been the first attempt to include viscouslike forces in the numerical simulation of the interaction of the solar wind with a comet's plasma environment. We note that there are many pending issues still to be addressed that could have potentially important consequences for the details of the solutions obtained for our simplified treatment. First and foremost, the precise forms that we have used for the viscouslike stress and effective interspecies coupling, may need to be revised. As we have argued in the Introduction, plasma properties imply that ``normal'' viscosity is negligible in the region under consideration. Hence, we are invoking an effective viscosity presumably resulting from plasma turbulence and/or waveparticle interactions. However, the precise form of the terms corresponding to viscouslike momentum transfer in the equations of motion (Bousinessq hypothesis) has not been formally determined. As we have also discussed in Sect. 3, the interspecies coupling terms we have used cannot be strictly derived for a plasma such as the one we have modelled. In future contributions, we will analyse the effect of alternative approaches to studying this multispecies system, such as the single fluid approach widely used in laboratory plasma physics.
Figure 11: Height of the shock front, (grey lines with squares) and thickness of the boundary layer, (black lines with triangles), as a function of effective Reynolds number, for a set of models with different value for the interspecies coupling parameter, . Values for these scaleheights correspond to x = 5 in our model. The dotted lines indicate the height of the shock front (grey) and the location of the intermediate transition (black) during the inbound portion of Giotto's flyby through the tail of comet Halley. 

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There are additional important effects that should also be considered. These include geometrical effects caused by the curvature of the ionosphere, which need to be studied to ensure a more direct, quantitative comparison between in situ measurements by the Giotto spacecraft and the results of simulations. We should study more carefully the interaction of the charged species with neutral gas ejected from the comet, which, especially in the vicinity of the nucleus, is the most abundant species. We should also investigate the effect of the magnetic field on the flow (particularly in the dayside and around the midplane of the neartail region), and in particular, 3D effects and incoming flow time dependence. Assessing the relevance of these factors was beyond the scope of the present study. This is the subject of work currently in progress and will be reported in future contributions.
AcknowledgementsThe authors acknowledge the many useful comments made by the anonymous referee which have lead to its considerable improvement. M.R.R. acknowledges the support of research grant IN109409 of DGAPAUNAM. H.A. acknowledges the support of research grant IN121406 of DGAPAUNAM and CONACYTMéxico grant No. 508807.
References
 Alfven, H. 1957, Tellus, 9, 92 [NASA ADS] [CrossRef] [Google Scholar]
 Anderson, J. D. 1995, Computational fluid dynamics: The basics with applications, (New York: McGrawHill) [Google Scholar]
 Baker, D. N., Feldman, W. C., Gary, S. P., et al. 1986, Geophys. Res. Lett., 13, 271 [NASA ADS] [CrossRef] [Google Scholar]
 Bame, S. J., Anderson, R. C., Asbridge, J. R., et al. 1986, Science, 232, 356 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Biermann, L. 1951, Z. Astrophys., 29, 274 [NASA ADS] [Google Scholar]
 Biermann, L., et al. 1967, Sol. Phys., 1, 264 [Google Scholar]
 Brandt, J. C., Rahe, J., Niedner, M. B., et al. 1992, The International Halley Watch Atlas of LargeScale Phenomena, The University of Colorado, Boulder [Google Scholar]
 Cravens, T. E. 1980, J. Geophys. Res., 85, A7778 [NASA ADS] [CrossRef] [Google Scholar]
 Cravens, T. E. 1991, in Comets in the PostHalley Era, ed. R.L. Newburn Jr., et al., 1211 (The Netherlands: Kluwer Acad. Pub.) [Google Scholar]
 Cravens, T. E., & Gombosi, T. I. 2004, Adv. Space Res., 33, 1968 [NASA ADS] [CrossRef] [Google Scholar]
 Dobe, Z., Quest, K. B., Shapiro, V. D., et al. 1999, Phys. Rev. Lett., 83, 260 [NASA ADS] [CrossRef] [Google Scholar]
 Draine, B. T. 1986, MNRAS, 220, 133 [NASA ADS] [Google Scholar]
 Falle, S. A. E. G. 2003, MNRAS, 344, 1210 [NASA ADS] [CrossRef] [Google Scholar]
 Goldstein et al. 1986, in Proc. 20th ESLAB Symposium/on the Exploration of Halley's Comet, ESA SP250 [Google Scholar]
 Gombosi, T. I. 1994, Gaskinetic Theory, Cambridge University Press (UK: Cambridge) [Google Scholar]
 Ip, W.H. 2004, Comets II, ed. M. C. Festou, H. U. Keller, & H. A. Weaver (Tucson: University of Arizona Press), 605 [Google Scholar]
 Jia, Y. D. 2007, J. Geophys Res., 112, A05223 [CrossRef] [Google Scholar]
 Johnstone, A., Coates, A., Kellock, S., et al. 1986, Nature, 321, 344 [NASA ADS] [CrossRef] [Google Scholar]
 Klimov, S., Savin, S., Aleksevich, Ya., et al. 1986, Nature, 321, 292 [NASA ADS] [CrossRef] [Google Scholar]
 Lesieur, M. 1990, Turbulence in fluids, 2nd ed., (The Netherlands: Kluwer, Dordrecht) [Google Scholar]
 MeyerVernet, N. 1986, Science, 232, 370 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 PerezdeTejada, H. 1989, J. Geophys. Res., 94, A10131 [NASA ADS] [CrossRef] [Google Scholar]
 PerezdeTejada, H. 1995, Space Sci. Rev., 72,655 [NASA ADS] [CrossRef] [Google Scholar]
 PerezdeTejada, H. 1999, ApJ, 525, L65 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 PerezdeTejada, H. 2000, Planet. Space Sci., 48, 871 [NASA ADS] [CrossRef] [Google Scholar]
 PerezdeTejada, H. 2005, ApJ, 618, L145 [NASA ADS] [CrossRef] [Google Scholar]
 PerezdeTejada, H., Orozco, A., Dryer, M. 1980, Astrophys. Space Sci., 68, 233 [NASA ADS] [CrossRef] [Google Scholar]
 PerezdeTejada, H., Lundin, R., DurandManterola, H., et al. 2009, J. Geophys. Res., 114, A02106 [CrossRef] [Google Scholar]
 Reme, H. 1991, in Cometary Plasma Processes, ed. A. D. Johnstone, 86, AGU monograph 61, AGU, Washington, D.C. [Google Scholar]
 ReyesRuiz, M., DíazMéndez, E., PerezdeTejada, H., et al. 2008, A&A, 489, 1319 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Scarf, F. L., Ferdinand, V., Coroniti, V., et al. 1986, Science, 232, 377 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Schunk, R. W. 1977, Rev. Geophys. Space Phys., 15, 429 [NASA ADS] [CrossRef] [Google Scholar]
 Schunk, R. W., & Nagy, A. F. 1980, Rev. Geophys., 18, 813 [NASA ADS] [CrossRef] [Google Scholar]
 Shapiro, V. D. et al. 1995, J. Geophys Res., 100, 21289 [NASA ADS] [CrossRef] [Google Scholar]
 Slavin, J. A., Smith, E. J., Tsurutani, B. T., et al. 1986, Geophys. Res. Lett., 13, 283 [NASA ADS] [CrossRef] [Google Scholar]
 Spitzer, L. 1962, Physics of Fully Ionized Gases, 2nd edn, (New York: Interscience Publishers) [Google Scholar]
 Spreiter, J., & Stahara, S. 1980, J. Geophys Res., 85, 7715 [Google Scholar]
 Szego, K., Glassmeier, K.H, Bingham, R., et al. 2000, Space Sci. Rev., 94, 429 [NASA ADS] [CrossRef] [Google Scholar]
 Tsurutani, B. T., & Smith, E. J. 1986, Geophys. Res. Lett., 13, 263 [NASA ADS] [CrossRef] [Google Scholar]
 Van Loo, S. 2009, MNRAS, 395, 319 [NASA ADS] [CrossRef] [Google Scholar]
 Wallis, M. K. 1973, Planet. Space. Sci., 21, 1647 [Google Scholar]
 Wegmann, R. 2002, A&A, 389, 1039 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
All Figures
Figure 1: Illustration of the computational domain we use in our simulations. The box provides an approximate scale of the simulated region. Image of comet Halley taken the day of the encounter with Giotto by Miller, University of Michigan/CTIO (Brandt et al. 1992). 

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In the text 
Figure 2: Density contours (shades of gray) and flow geometry (velocity vectors) for case 1 ( Re^{a,b} = 30, ) after 1234 simulation time units. The top panel shows the configuration for the proton plasma (species a) and the right side panel shows the ``equilibrium'' configuration for cometary H_{2}O+ ions. Density and velocity are in normalized units. 

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In the text 
Figure 3: Vertical profiles of the flow properties for case 1 at three different positions; x = 2 ( left column of panels), x=5 ( middle column), and x=8 ( right column). In all cases, grey lines indicate the properties of the proton plasma (species a) and black lines denote the properties of the H_{2}O+ plasma (species b). The top row shows the x component of velocity, V_{x}^{a,b}, the middle row shows the temperature, T^{a,b}, and the bottom row shows the mass density, . All quantities are in normalized units. 

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In the text 
Figure 4: Same as in Fig. 3 but for simulation case 2 ( , ). 

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In the text 
Figure 5: Same as in Fig. 3 but for simulation case 3 ( , ). 

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In the text 
Figure 6: Same as in Fig. 2 but for simulation case 4 ( , ). 

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In the text 
Figure 7: Same as in Fig. 3 but for simulation case 4 ( , ). 

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In the text 
Figure 8: Same as in Fig. 2 but for simulation case 5 ( , ). 

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In the text 
Figure 9: Same as in Fig. 3 but for simulation case 5 ( , ). 

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In the text 
Figure 10: Comparison of the vertical profiles of flow properties for a case characterized by the same value of and as case 1, but with . Profiles at x = 2 ( left column of panels), x=5 ( middle column) and x=8 ( right column) are shown. Gray lines indicate the properties of the proton plasma and black lines denote the properties of the H_{2}O+ plasma. All quantities are in normalized units. 

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In the text 
Figure 11: Height of the shock front, (grey lines with squares) and thickness of the boundary layer, (black lines with triangles), as a function of effective Reynolds number, for a set of models with different value for the interspecies coupling parameter, . Values for these scaleheights correspond to x = 5 in our model. The dotted lines indicate the height of the shock front (grey) and the location of the intermediate transition (black) during the inbound portion of Giotto's flyby through the tail of comet Halley. 

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In the text 
Copyright ESO 2010
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