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Subgrid Mean-field Dynamo Model with Dynamical Quenching in General Relativistic Magnetohydrodynamic Simulations

Hongzhe Zhou, Yosuke Mizuno, Zhenyu Zhu

Abstract

Large-scale magnetic fields are relevant for a number of dynamical processes in accretion disks, including driving turbulence, reconnection events, and launching outflows. Numerical simulations have indicated that the initial strengths and configurations of the large-scale magnetic fields have a direct imprint on the outcome of an accretion disk evolution. To facilitate future self-consistent simulations that include intrinsic dynamo processes, we derive and implement a subgrid model of a helical large-scale dynamo with dynamical quenching in general-relativistic resistive magnetohydrodynamical simulations of geometrically thin accretion disks. By incorporating previous numerical and analytical results of helical dynamos, our model features only one input parameter, the viscosity parameter $α_\text{SS}$. We demonstrate that our model can reproduce butterfly diagrams seen in previous local and global simulations. With rather aggressive parameter choice of $α_\text{SS}=0.02$ and black hole spin $a_\text{BH}=0.9375$, our thin-disk model launches weak collimated polar outflows with Lorentz factor $\simeq 1.2$, but no polar outflow is present with less vigorous turbulence or less positive $a_\text{BH}$. With negative $a_\text{BH}$, we find the field configurations to appear more similar to Newtonian cases, whereas for positive $a_\text{BH}$, the poloidal field loops become distorted and the cycle period becomes sporadic or even disappears. Moreover, we demonstrate how $α_\text{SS}$ can avoid to be prescribed and instead be determined by the local plasma beta. Such a fully dynamical subgrid dynamo allows for self-consistent amplification of the large-scale magnetic fields.

Subgrid Mean-field Dynamo Model with Dynamical Quenching in General Relativistic Magnetohydrodynamic Simulations

Abstract

Large-scale magnetic fields are relevant for a number of dynamical processes in accretion disks, including driving turbulence, reconnection events, and launching outflows. Numerical simulations have indicated that the initial strengths and configurations of the large-scale magnetic fields have a direct imprint on the outcome of an accretion disk evolution. To facilitate future self-consistent simulations that include intrinsic dynamo processes, we derive and implement a subgrid model of a helical large-scale dynamo with dynamical quenching in general-relativistic resistive magnetohydrodynamical simulations of geometrically thin accretion disks. By incorporating previous numerical and analytical results of helical dynamos, our model features only one input parameter, the viscosity parameter . We demonstrate that our model can reproduce butterfly diagrams seen in previous local and global simulations. With rather aggressive parameter choice of and black hole spin , our thin-disk model launches weak collimated polar outflows with Lorentz factor , but no polar outflow is present with less vigorous turbulence or less positive . With negative , we find the field configurations to appear more similar to Newtonian cases, whereas for positive , the poloidal field loops become distorted and the cycle period becomes sporadic or even disappears. Moreover, we demonstrate how can avoid to be prescribed and instead be determined by the local plasma beta. Such a fully dynamical subgrid dynamo allows for self-consistent amplification of the large-scale magnetic fields.

Paper Structure

This paper contains 15 sections, 21 equations, 13 figures, 1 table.

Figures (13)

  • Figure 1: The time series of the density-weighted averages of (a) the inverse plasma beta, and (b) the squared magnetic strengths for the non-dynamo run A0 and the fiducial dynamo run A1.
  • Figure 2: Same as Fig. \ref{['fig:A1_ts_A']} but shown the the time series of (a) accretion rate at the horizon, and (b) normalized magnetic flux at the horizon.
  • Figure 3: Snapshots of run A1 for the distribution of the density (left), the plasma beta with magnetic field lines (middle), and the radial velocity (right), at $t=10^4t_\text{g}$ (top) and $t=2\times 10^5t_\text{g}$ (bottom).
  • Figure 4: For run A1, distribution of line-integral convolution of the poloidal magnetic field $\bm B_\text{pol}$ at two representative snapshots ($t=10^4$ and $2\times10^5t_g$). Colors indicate the values calculated from the curl of the fields in the code unit to reflect the field orientation. For each panel, the black dot at $r=0$ indicates the outer horizon, and the thin black curve denotes the ergosphere.
  • Figure 5: For run A1, the space-time diagram at $r=20r_\text{g}$ for (a) the azimuthal magnetic field $B_\phi$, (b) $B_\phi$ normalized by its maximal amplitude at each fixed time (to reveal the polarity), and (c) the plasma beta.
  • ...and 8 more figures