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Astron. Astrophys. 358, 759-775 (2000) 2. MHD models and scaling lawsThe plasma flow in a comet can be described by the equations of
ideal magnetohydrodynamics (MHD) with source terms (see e.g. Schmidt
& Wegmann 1982; Wegmann 1995). One can combine the gas production
rate G, the outflow velocity w from the nucleus, the
mean mass which determines the size of the region where the solar wind interacts with the comet. We adopt a coordinate system When the spatial coordinate The main consequence of this is a scaling law : All physical
quantities scale with the corresponding solar wind quantities, all
lengths scale with the interaction scale length
In this paper we are mainly interested in the brightness which is
directly proportional to the column density
with functions with the nondimensional coordinate
vary like the inverse of the dynamic pressure of the solar wind when all other parameters are kept fixed. We have calculated models with parameters listed in Table 1.
The parameters labeled 'slow1' and 'fast1' are for slow and fast solar
wind data taken from Gosling et al. (1978), Fig. 2, eight hours
before and after the interface of a corotating interaction region
(CIR). The data 'big1' are for a big Halley type comet with solar wind
data taken from Gosling et al. (1978), Fig. 1, two days before a
CIR. The data 'slow2' and 'fast2' are for the oblique shock model (S4)
calculated by Wegmann (1995). We calculate all models with
photo-ionisation only, with a constant rate
The small models We use the same numerical method as in our previous paper (Wegmann 1995). The code is based on a second order Godunov method using an approximate Riemann solver for the MHD equations. Spurious magnetic monopoles generated by numerical errors are removed in each time step (Schmidt-Voigt 1989). The code is able to capture shocks. The flow is calculated on a non equidistant grid with finest resolution of 8000 km near the nucleus for the small models. Advanced codes (e.g. Gombosi et al.1994) for the solar wind - comet interaction use also second order Godunov methods with an approximate Riemann solver. Adaptive grid refinement improves the accuracy of stationary models. These codes have not yet been used for time-dependent calculations. ![]() ![]() ![]() ![]() © European Southern Observatory (ESO) 2000 Online publication: June 8, 2000 ![]() |