Hybrid GRMHD and force-free simulations of black hole accretion

11Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

We present a new approach for stably evolving general relativistic magnetohydrodynamic (GRMHD) simulations in regions where the magnetization σ = b2/ρc2 becomes large. GRMHD codes typically struggle to evolve plasma above σ ≈ 100 in simulations of black hole accretion. To ensure stability, GRMHD codes will inject mass density artificially to the simulation as necessary to keep the magnetization below a ceiling value σmax. We propose an alternative approach where the simulation transitions to solving the equations of general relativistic force-free electrodynamics (GRFFE) above a magnetization σtrans. We augment the GRFFE equations in the highly magnetized region with approximate equations to evolve the decoupled field-parallel velocity and plasma energy density. Our hybrid scheme is explicit and easily added to the framework of standard-volume GRMHD codes. We present a variety of tests of our method, implemented in the GRMHD code KORAL, and we show results from a 3D hybrid GRMHD + GRFFE simulation of a magnetically arrested disc (MAD) around a spinning black hole. Our hybrid MAD simulation closely matches the average properties of a standard GRMHD MAD simulation with the same initial conditions in low magnetization regions, but it achieves a magnetization σ ≈ 106 in the evacuated jet funnel. We present simulated horizon-scale images of both simulations at 230 GHz with the black hole mass and accretion rate matched to M87∗. Images from the hybrid simulation are less affected by the choice of magnetization cut-off σcut imposed in radiative transfer than images from the standard GRMHD simulation.

Cite

CITATION STYLE

APA

Chael, A. (2024). Hybrid GRMHD and force-free simulations of black hole accretion. Monthly Notices of the Royal Astronomical Society, 532(3), 3198–3221. https://doi.org/10.1093/mnras/stae1692

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free