中文
相关论文

相关论文: Hyperbolic Divergence Cleaning for SPH

200 篇论文

Recently, the production of ultrahigh-density (~10^{19}cm^{-3}) spin-polarized deuterium (SPD) atoms was demonstrated, from the photodissociation of deuterium iodide, but the upper density limit was not determined. Here, we present studies…

The correct evaluation of gradients is at the cornerstone of the smoothed particle hydrodynamics (SPH) technique. Using an integral approach to estimate gradients has proven to enhance accuracy substantially. Such approach retains the…

天体物理仪器与方法 · 物理学 2022-03-31 Domingo García-Senz , Rubén M. Cabezón , José A. Escartín

We present a practical guide to Smoothed Particle Hydrodynamics (\SPH) and its application to astrophysical problems. Although remarkably robust, \SPH\ must be used with care if the results are to be meaningful since the accuracy of \SPH\…

天体物理学 · 物理学 2007-05-23 T. J. Martin , F. R. Pearce , P. A. Thomas

The spurious pressure jump at a contact discontinuity, in SPH simulations of the compressible Euler equations is investigated. From the spatiotemporal behaviour of the error, the SPH pressure jump is likened to entropy errors observed for…

计算工程、金融与科学 · 计算机科学 2014-03-04 Kunal Puri , Prabhu Ramachandran

In recent years, several different strategies have emerged for evolving the magnetic field in numerical MHD. Some of these methods can be classified as divergence-cleaning schemes, where one evolves the magnetic field components just like…

天体物理学 · 物理学 2009-11-10 Dinshaw Balsara , Jongsoo Kim

This work presents an extension of discretely entropy stable discontinuous Galerkin (DG) methods to the resistive magnetohydrodynamics (MHD) equations. Although similar to the compressible Navier-Stokes equations at first sight, there are…

We analyse the performance of twelve different implementations of Smoothed Particle Hydrodynamics (SPH) using seven tests designed to isolate key hydrodynamic elements of cosmological simulations which are known to cause the SPH algorithm…

天体物理学 · 物理学 2009-10-30 R. J. Thacker , E. R. Tittley , F. R. Pearce , H. M. P. Couchman , P. A. Thomas

Approximate Riemann solvers are widely used for solving hyperbolic conservation laws, including those of magnetohydrodynamics (MHD). However, due to the nonlinearity and complexity of MHD, obtaining accurate and robust numerical solutions…

流体动力学 · 物理学 2025-11-25 Fan Zhang , Andrea Lani , Stefaan Poedts

The method of smoothed particle hydrodynamics (SPH) is developped appropriately for the study of relativistic heavy ion collision processes. In order to describe the flow of a high energy but low baryon number density fluid, the entropy is…

高能物理 - 唯象学 · 物理学 2008-11-26 C. E. Aguiar , T. Kodama , T. Osada , Y. Hama

The construction of stable, conservative, and accurate volume dissipation is extended to discretizations that possess a generalized summation-by-parts (SBP) property within a tensor-product framework. The dissipation operators can be…

数值分析 · 数学 2026-03-19 Alex Bercik , David A. Craig Penner , David W. Zingg

We develop energy-conserving numerical methods for a two-dimensional hyperbolic approximation of the Serre-Green-Naghdi equations with variable bathymetry and either periodic or reflecting boundary conditions. The hyperbolic formulation…

数值分析 · 数学 2026-05-27 Collin Wittenstein , Vincent Marks , Mario Ricchiuto , Hendrik Ranocha

Magnetic fields play an important role in many astrophysical systems and a detailed understanding of their impact on the gas dynamics requires robust numerical simulations. Here we present a new method to evolve the ideal…

天体物理仪器与方法 · 物理学 2015-06-18 Philip Mocz , Mark Vogelsberger , Lars Hernquist

The consistency of Moving Particle Semi-implicit (MPS) method in reproducing the gradient, divergence and Laplacian differential operators is discussed in the present paper. Its relation to the Smoothed Particle Hydrodynamics (SPH) method…

流体动力学 · 物理学 2013-07-26 Antonio Souto-Iglesias , Fabricio Macià , Leo M. González , Jose L. Cercos-Pita

We present a new methodology for simulating self-gravitating general-relativistic fluids. In our approach the fluid is modelled by means of Lagrangian particles in the framework of a general-relativistic (GR) Smooth Particle Hydrodynamics…

广义相对论与量子宇宙学 · 物理学 2025-06-12 S. Rosswog , P. Diener

The discovery of dynamical models from data represents a crucial step in advancing our understanding of physical systems. Library-based sparse regression has emerged as a powerful method for inferring governing equations directly from…

计算物理 · 物理学 2025-01-09 Matthew Golden , Kaushik Satapathy , Dimitrios Psaltis

It is well-known that sparse grid algorithm has been widely accepted as an efficient tool to overcome the "curse of dimensionality" in some degree. In this note, we first give the error estimate of hyperbolic cross (HC) approximations with…

数值分析 · 数学 2014-02-04 Xue Luo , Stephen S. -T. Yau

This review discusses Smoothed Particle Hydrodynamics (SPH) in the astrophysical context, with a focus on inviscid gas dynamics. The particle-based SPH technique allows an intuitive and simple formulation of hydrodynamics that has excellent…

宇宙学与河外天体物理 · 物理学 2011-09-13 Volker Springel

Smoothed particle hydrodynamics is a particle-based, fully Lagrangian, method for fluid-flow simulations. In this work, fundamental concepts of the method are first briefly recalled. Then, we present a thorough comparison of three different…

流体动力学 · 物理学 2012-08-22 Kamil Szewc , Jacek Pozorski , Jean-Pierre Minier

We present and compare third- as well as fifth-order accurate finite difference schemes for the numerical solution of the compressible ideal MHD equations in multiple spatial dimensions. The selected methods lean on four different…

高能天体物理现象 · 物理学 2015-05-18 A. Mignone , P. Tzeferacos , G. Bodo

Fast sweeping methods have become a useful tool for computing the solutions of static Hamilton-Jacobi equations. By adapting the main idea behind these methods, we describe a new approach for computing steady state solutions to systems of…

数值分析 · 数学 2015-06-16 Bjorn Engquist , Brittany D. Froese , Yen-Hsi Richard Tsai