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MHD turbulence is likely to play an important role in several astrophysical scenarios where the magnetic Reynolds is very large. Numerically, these cases can be studied efficiently by means of Large Eddy Simulations, in which the…

高能天体物理现象 · 物理学 2020-03-25 Federico Carrasco , Daniele Viganò , Carlos Palenzuela

The modelling of astrophysical systems such as binary neutron star mergers or the formation of magnetars from the collapse of massive stars involves the numerical evolution of magnetised fluids at extremely large Reynolds numbers. This is a…

高能天体物理现象 · 物理学 2023-10-20 Miquel Miravet-Tenés , Pablo Cerdá-Durán , Martin Obergaulinger , José A. Font

We explore the suitability of deep learning to capture the physics of subgrid-scale ideal magnetohydrodynamics turbulence of 2-D simulations of the magnetized Kelvin-Helmholtz instability. We produce simulations at different resolutions to…

计算物理 · 物理学 2020-08-27 Shawn G. Rosofsky , E. A. Huerta

The detection of binary neutron star mergers represents one of the most important astrophysical discoveries of the recent years. Due to the extreme matter and gravity conditions and the rich dynamics developed, it becomes a tremendous…

广义相对论与量子宇宙学 · 物理学 2020-07-01 Daniele Viganò , Ricard Aguilera-Miret , Federico Carrasco , Borja Miñano , Carlos Palenzuela

Compressible magnetohydrodynamic (MHD) turbulence is ubiquitous in astrophysical phenomena ranging from the intergalactic to the stellar scales. In studying them, numerical simulations are nearly inescapable, due to the large degree of…

流体动力学 · 物理学 2016-07-27 Dimitar G Vlaykov , Philipp Grete , Wolfram Schmidt , Dominik R G Schleicher

Turbulence in compressible plasma plays a key role in many areas of astrophysics and engineering. The extreme plasma parameters in these environments, e.g. high Reynolds numbers, supersonic and super-Alfvenic flows, however, make direct…

Magnetic field strengths inferred for relativistic outflows including gamma-ray bursts (GRB) and active galactic nuclei (AGN) are larger than naively expected by orders of magnitude. We present three-dimensional relativistic…

天体物理学 · 物理学 2009-11-13 Weiqun Zhang , Andrew MacFadyen , Peng Wang

A new sub-grid-scale model is developed for studying influences of the Hall term on macroscopic aspects of magnetohydrodynamic turbulence. Although the Hall term makes numerical simulations extremely expensive by exciting high-wave-number…

等离子体物理 · 物理学 2020-12-03 Hideaki Miura , Fujihiro Hamba

Magnetized turbulence is ubiquitous in many astrophysical and terrestrial plasmas but no universal theory exists. Even the detailed energy dynamics in magnetohydrodynamic (MHD) turbulence are still not well understood. We present a suite of…

星系天体物理 · 物理学 2023-02-06 Philipp Grete , Brian W. O'Shea , Kris Beckwith

Insufficient numerical resolution of grid-based, direct numerical simulations (DNS) hampers the development of instabilitydriven turbulence at small (unresolved) scales. As an alternative to DNS, sub-grid models can potentially reproduce…

高能天体物理现象 · 物理学 2022-10-26 Miquel Miravet-Tenés , Pablo Cerdá-Durán , Martin Obergaulinger , José A. Font

We present a one-equation subgrid scale model that evolves the turbulence energy corresponding to unresolved velocity fluctuations in large eddy simulations. The model is derived in the context of the Germano consistent decomposition of the…

天体物理学 · 物理学 2009-11-11 W. Schmidt , J. C. Niemeyer , W. Hillebrandt

Large eddy simulations (LES) of a lattice Boltzmann magnetohydrodynamic (LB-MHD) model are performed for the unstable magnetized Kelvin-Helmholtz jet instability. This algorithm is an extension of Ansumali et. al. (2004) to MHD in which one…

等离子体物理 · 物理学 2018-01-18 Christopher Flint , George Vahala

Magnetic reconnection requires, at least locally, a non-ideal plasma response. In collisionless space and astrophysical plasmas, turbulence could permit this instead of the too rare binary collisions. We investigated the influence of…

等离子体物理 · 物理学 2016-05-25 Fabien Widmer , Jörg Büchner , Nobumitsu Yokoi

Based on ideas by Woodward et al., a subgrid scale model that is applicable to highly compressible turbulence is presented. Applying the subgrid scale model in large eddy simulations of forced supersonic turbulence, the bottleneck effect is…

星系天体物理 · 物理学 2009-10-02 Wolfram Schmidt

We study the construction of subgrid-scale models for large-eddy simulation of incompressible turbulent flows. In particular, we aim to consolidate a systematic approach of constructing subgrid-scale models, based on the idea that it is…

流体动力学 · 物理学 2017-01-30 Maurits H. Silvis , Ronald A. Remmerswaal , Roel Verstappen

A wide variety of astrophysical phenomena involve the flow of turbulent magnetized gas with relativistic velocity or energy density. Examples include gamma-ray bursts, active galactic nuclei, pulsars, magnetars, micro-quasars, merging…

高能天体物理现象 · 物理学 2015-05-30 Jonathan Zrake , Andrew MacFadyen

MHD Turbulence is common in many space physics and astrophysics environments. We first discuss the properties of incompressible MHD turbulence. A well-conductive fluid amplifies initial magnetic fields in a process called small-scale…

星系天体物理 · 物理学 2015-06-19 Andrey Beresnyak , Alex Lazarian

We formulate a coarse-graining approach to the dynamics of magnetohydrodynamic (MHD) fluids at a continuum of length-scales. In this methodology, effective equations are derived for the observable velocity and magnetic fields…

太阳与恒星天体物理 · 物理学 2017-04-05 Hussein Aluie

Extended magnetohydrodynamics (XMHD) is a fluid plasma model generalizing ideal MHD by taking into account the impact of Hall drift effects and the influence of electron inertial effects. XMHD has a Hamiltonian structure which has received…

偏微分方程分析 · 数学 2024-06-26 Christophe Cheverry , Nicolas Besse

Turbulence in an incompressible fluid with and without a magnetic field as well as moderately compressible MHD turbulence are compared. For the magnetohydrodynamic (MHD) models the probability distribution functions of the velocity…

天体物理学 · 物理学 2007-05-23 Nicholas Hall , G. Kowal , A. Lazarian , Jungyeon Cho
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