MRI turbulence in accretion discs at large magnetic Prandtl numbers
Loren E. Held, George Mamatsashvili

TL;DR
This study explores how large magnetic Prandtl numbers influence MRI-driven turbulence in accretion disks, revealing a scaling relationship and a plateau effect at very high Pm, with implications for astrophysical environments.
Contribution
It provides the first detailed analysis of MRI turbulence at large Pm, identifying a Pm-dependent scaling of turbulent transport and a saturation effect at very high Pm.
Findings
Turbulent transport scales with Pm as α ∼ Pm^δ, with δ ≈ 0.5-0.7.
At very large Pm, turbulent energy and stress plateau, losing dependence on Pm.
Scaling of α-Pm is affected by simulation box aspect ratio and background shear.
Abstract
The effect of large magnetic Prandtl number (the ratio of viscosity to resistivity) on the turbulent transport and energetics of the magnetorotational instability (MRI) is poorly understood, despite the realization of this regime in astrophysical environments as disparate as discs from binary neutron star mergers, the inner regions of low mass X-ray binaries and active galactic nuclei, and the interiors of protoneutron stars. We investigate the MRI dynamo and associated turbulence in the regime by carrying out fully compressible, 3D MHD shearing box simulations using the finite-volume code \textsc{PLUTO}, focusing mostly on the case of Keplerian shear relevant to accretion discs. We find that when the magnetic Reynolds number is kept fixed, the turbulent transport (as parameterized by , the ratio of stress to thermal pressure) scales with the magnetic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstrophysics and Star Formation Studies · Astrophysical Phenomena and Observations · Advanced Thermodynamic Systems and Engines
