Constrained hyperbolic divergence cleaning for smoothed particle magnetohydrodynamics

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• 作者：Terrence S. Tricco ; Daniel J. Price
• 关键词：Particle methods ; Magnetohydrodynamics (MHD) ; Smoothed particle magnetohydrodynamics (SPMHD) ; Astrophysics ; Magnetic fields ; Divergence constraint ; Divergence cleaning
• 刊名：Journal of Computational Physics
• 出版年：2012
• 出版时间：30 August, 2012
• 年：2012
• 卷：231
• 期：21
• 页码：7214-7236
• 全文大小：4066 K

文摘

We present a constrained formulation of Dedner et al.¡¯s hyperbolic/parabolic divergence cleaning scheme for enforcing the constraint in smoothed particle magnetohydrodynamics (SPMHD) simulations. The constraint we impose is that energy removed must either be conserved or dissipated, such that the scheme is guaranteed to decrease the overall magnetic energy. This is shown to require use of conjugate numerical operators for evaluating and in the SPMHD cleaning equations. The resulting scheme is shown to be stable at density jumps and free boundaries, in contrast to an earlier implementation by Price and Monaghan (2005). Optimal values of the damping parameter are found to be -0.3 in 2D and -1.2 in 3D. With these parameters, our constrained Hamiltonian formulation is found to provide an effective means of enforcing the divergence constraint in SPMHD, typically maintaining average values of to 0.1-1 % , up to an order of magnitude better than artificial resistivity without the associated dissipation in the physical field. Furthermore, when applied to realistic, 3D simulations we find an improvement of up to two orders of magnitude in momentum conservation with a corresponding improvement in numerical stability at essentially zero additional computational expense.