Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published September 2019 | Published
Journal Article Open

General-relativistic Resistive Magnetohydrodynamics with Robust Primitive-variable Recovery for Accretion Disk Simulations

Abstract

Recent advances in black hole astrophysics, particularly the first visual evidence of a supermassive black hole at the center of the galaxy M87 by the Event Horizon Telescope, and the detection of an orbiting "hot spot" nearby the event horizon of Sgr A* in the Galactic center by the Gravity Collaboration, require the development of novel numerical methods to understand the underlying plasma microphysics. Non-thermal emission related to such hot spots is conjectured to originate from plasmoids that form due to magnetic reconnection in thin current layers in the innermost accretion zone. Resistivity plays a crucial role in current sheet formation, magnetic reconnection, and plasmoid growth in black hole accretion disks and jets. We included resistivity in the three-dimensional general-relativistic magnetohydrodynamics (GRMHD) code BHAC and present the implementation of an implicit–explicit scheme to treat the stiff resistive source terms of the GRMHD equations. The algorithm is tested in combination with adaptive mesh refinement to resolve the resistive scales and a constrained transport method to keep the magnetic field solenoidal. Several novel methods for primitive-variable recovery, a key part in relativistic magnetohydrodynamics codes, are presented and compared for accuracy, robustness, and efficiency. We propose a new inversion strategy that allows for resistive-GRMHD simulations of low gas-to-magnetic pressure ratio and highly magnetized regimes as applicable for black hole accretion disks, jets, and neutron-star magnetospheres. We apply the new scheme to study the effect of resistivity on accreting black holes, accounting for dissipative effects as reconnection.

Additional Information

© 2019. The American Astronomical Society. This research was supported by projects GOA/2015-014 (2014-2018 KU Leuven) and the Interuniversity Attraction Poles Programme by the Belgian Science Policy Office (IAP P7/08 CHARM). B.R., F.B., O.P., and H.O. are supported by the ERC synergy grant "BlackHoleCam: Imaging the Event Horizon of Black Holes" (grant No. 610058). B.R. and A.N. are supported by an Alexander von Humboldt Fellowship. J.T. acknowledges support by postdoctoral fellowship 12Q6117N from Research Foundation—Flanders (FWO). The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation—Flanders (FWO) and the Flemish Government—department EWI, and by the Iboga cluster at the ITP Frankfurt. B.R. would like to thank Luca del Zanna, Scott Noble, and Christian Fendt for sharing details on their codes ECHO and rHARM and Jordy Davelaar, Sasha Philippov, and Lorenzo Sironi for useful discussions and suggestions. Software: BHAC (Porth et al. 2017; Olivares et al. 2019).

Attached Files

Published - Ripperda_2019_ApJS_244_10.pdf

Files

Ripperda_2019_ApJS_244_10.pdf
Files (1.8 MB)
Name Size Download all
md5:1a6da7a259d44825cec7d9b78616028f
1.8 MB Preview Download

Additional details

Created:
August 22, 2023
Modified:
October 20, 2023