English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Robust Recovery of Primitive Variables in Relativistic Ideal Magnetohydrodynamics

MPS-Authors
/persons/resource/persons216263

Kastaun,  Wolfgang
Binary Merger Observations and Numerical Relativity, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

2005.01821.pdf
(Preprint), 9KB

PhysRevD.103.023018.pdf
(Publisher version), 969KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Kastaun, W., Kalinani, J. V., & Ciolfi, R. (2021). Robust Recovery of Primitive Variables in Relativistic Ideal Magnetohydrodynamics. Physical Review D, 103: 023018. doi:10.1103/PhysRevD.103.023018.


Cite as: https://hdl.handle.net/21.11116/0000-0007-F878-B
Abstract
Modern simulation codes for general relativistic ideal magnetohydrodynamics
are all facing a long standing technical problem given by the need to recover
fundamental variables from those variables that are evolved in time. In the
relativistic case, this requires the numerical solution of a system of
nonlinear equations. Although several approaches are available, none has proven
completely reliable. A recent study comparing different methods showed that all
can fail, in particular for the important case of strong magnetization and
moderate Lorentz factors. Here, we propose a new robust, efficient, and
accurate solution scheme, along with a proof for the existence and uniqueness
of a solution, and analytic bounds for the accuracy. Further, the scheme allows
us to reliably detect evolution errors leading to unphysical states and
automatically applies corrections for typical harmless cases. A reference
implementation of the method is made publicly available as a software library.
The aim of this library is to improve the reliability of binary neutron star
merger simulations, in particular in the investigation of jet formation and
magnetically driven winds.