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相关论文: AMRA: An Adaptive Mesh Refinement Hydrodynamic Cod…

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A new N-body and hydrodynamical code, called RAMSES, is presented. It has been designed to study structure formation in the universe with high spatial resolution. The code is based on Adaptive Mesh Refinement (AMR) technique, with a tree…

天体物理学 · 物理学 2014-10-13 Romain Teyssier

The design and implementation of a new framework for adaptive mesh refinement (AMR) calculations is described. It is intended primarily for applications in astrophysical fluid dynamics, but its flexible and modular design enables its use…

天体物理仪器与方法 · 物理学 2020-07-08 James M. Stone , Kengo Tomida , Christopher J. White , Kyle G. Felker

Astrophysical relativistic flow problems require high resolution three-dimensional numerical simulations. In this paper, we describe a new parallel three-dimensional code for simulations of special relativistic hydrodynamics (SRHD) using…

天体物理学 · 物理学 2009-11-13 Peng Wang , Tom Abel , Weiqun Zhang

In this paper, the general procedure to solve the General Relativistic Hydrodynamical(GRH) equations with Adaptive-Mesh Refinement (AMR) is presented. In order to achieve, the GRH equations are written in the conservation form to exploit…

广义相对论与量子宇宙学 · 物理学 2009-11-10 Orhan Donmez

I provide a pedagogic review of adaptive mesh refinement (AMR) radiation hydrodynamics (RHD) methods and codes used in simulations of star formation, at a level suitable for researchers who are not computational experts. I begin with a…

天体物理仪器与方法 · 物理学 2015-05-19 Mark R. Krumholz

We present a new code, CASTRO, that solves the multicomponent compressible hydrodynamic equations for astrophysical flows including self-gravity, nuclear reactions and radiation. CASTRO uses an Eulerian grid and incorporates adaptive mesh…

天体物理仪器与方法 · 物理学 2015-05-18 A. S. Almgren , V. E. Beckner , J. B. Bell , M. S. Day , L. H. Howell , C. C. Joggerst , M. J. Lijewski , A. Nonaka , M. Singer , M. Zingale

We have developed a new computer code, RAM, to solve the conservative equations of special relativistic hydrodynamics (SRHD) using adaptive mesh refinement (AMR) on parallel computers. We have implemented a characteristic-wise, finite…

天体物理学 · 物理学 2009-11-11 Weiqun Zhang , Andrew I. MacFadyen

A new cosmological multidimensional hydrodynamic and N-body code based on an Adaptive Mesh Refinement scheme is described and tested. The hydro part is based on modern high-resolution shock-capturing techniques, whereas N-body approach is…

天体物理学 · 物理学 2009-11-10 Vicent Quilis

We have developed a new computer code, RELDAFNA, to solve the conservative equations of special relativistic hydrodynamics (SRHD) using adaptive mesh refinement (AMR) on parallel computers. We have implemented a characteristic-wise, finite…

高能天体物理现象 · 物理学 2023-10-05 Ygal Y. Klein

We present a new implementation of radiation hydrodynamics (RHD) in the adaptive mesh refinement (AMR) code RAMSES. The multi-group radiative transfer (RT) is performed on the AMR grid with a first-order Godunov method using the M1 closure…

宇宙学与河外天体物理 · 物理学 2015-06-15 Joakim Rosdahl , Jeremy Blaizot , Dominique Aubert , Timothy Stranex , Romain Teyssier

The advent of robust, reliable and accurate higher order Godunov schemes for many of the systems of equations of interest in computational astrophysics has made it important to understand how to solve them in multi-scale fashion. This is so…

天体物理学 · 物理学 2015-06-24 Dinshaw Balsara

We present a high order one-step ADER-WENO finite volume scheme with space-time adaptive mesh refinement (AMR) for the solution of the special relativistic hydrodynamic and magnetohydrodynamic equations. By adopting a local discontinuous…

高能天体物理现象 · 物理学 2014-11-21 Olindo Zanotti , Michael Dumbser

We describe a photon-conserving radiative transfer algorithm, using a spatially-adaptive ray tracing scheme, and its parallel implementation into the adaptive mesh refinement (AMR) cosmological hydrodynamics code, Enzo. By coupling the…

天体物理仪器与方法 · 物理学 2015-05-20 John H. Wise , Tom Abel

A new code, named MAP, is written in Fortran language for magnetohydrodynamics (MHD) calculation with the adaptive mesh refinement (AMR) and Message Passing Interface (MPI) parallelization. There are several optional numerical schemes for…

天体物理仪器与方法 · 物理学 2012-04-27 R. L. Jiang , C. Fang , P. F. Chen

We describe a grid-based numerical method for 3D hydrodynamic cosmological simulations which is adaptive in space and time and combines the best features of higher order--accurate Godunov schemes for Eulerian hydrodynamics with adaptive…

天体物理学 · 物理学 2016-01-27 Michael L. Norman , Greg L. Bryan

The advantages and disadvantages of two approaches to astrophysical hydrodynamics, Smoothed Particle Hydrodynamics and Adaptive Mesh Refinement, are briefly discussed together with some current problems of computational hydrodynamics.

天体物理学 · 物理学 2007-05-23 Tomek Plewa

The problem of the resolution of turbulent flows in adaptive mesh refinement (AMR) simulations is investigated by means of 3D hydrodynamical simulations in an idealised setup, representing a moving subcluster during a merger event. AMR…

天体物理学 · 物理学 2009-11-13 L. Iapichino , J. Adamek , W. Schmidt , J. C. Niemeyer

Obtainable computational efficiency is evaluated when using an Adaptive Mesh Refinement (AMR) strategy in time accurate simulations governed by sets of conservation laws. For a variety of 1D, 2D, and 3D hydro- and magnetohydrodynamic…

天体物理学 · 物理学 2009-11-10 R. Keppens , M. Nool , G. Toth , J. P. Goedbloed

The new code for numerical simulation of magnetic hydrodynamical astrophysical flows with consideration of chemical reactions is given in the paper. At the heart of the code - the new original low-dissipation numerical method based on a…

天体物理仪器与方法 · 物理学 2016-09-01 Igor Kulikov , Igor Chernykh , Viktor Protasov

We present a description of the adaptive mesh refinement (AMR) implementation of the PLUTO code for solving the equations of classical and special relativistic magnetohydrodynamics (MHD and RMHD). The current release exploits, in addition…

高能天体物理现象 · 物理学 2015-05-30 A. Mignone , C. Zanni , P. Tzeferacos , B. van Straalen , P. Colella , G. Bodo
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