z-logo
open-access-imgOpen Access
Embedding Lagrangian Sink Particles in Eulerian Grids
Author(s) -
Mark R. Krumholz,
Christopher F. McKee,
Richard Klein
Publication year - 2004
Publication title -
the astrophysical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.376
H-Index - 489
eISSN - 1538-4357
pISSN - 0004-637X
DOI - 10.1086/421935
Subject(s) - eulerian path , smoothed particle hydrodynamics , sink (geography) , physics , embedding , mechanics , lagrangian , statistical physics , classical mechanics , computer science , theoretical physics , cartography , artificial intelligence , geography
We introduce a new computational method for embedding Lagrangian sinkparticles into an Eulerian calculation. Simulations of gravitational collapseor accretion generally produce regions whose density greatly exceeds the meandensity in the simulation. These dense regions require extremely small timesteps to maintain numerical stability. Smoothed particle hydrodynamics (SPH)codes approach this problem by introducing non-gaseous, accreting sinkparticles, and Eulerian codes may introduce fixed sink cells. However, untilnow there has been no approach that allows Eulerian codes to follow accretiononto multiple, moving objects. We have removed that limitation by extending thesink particle capability to Eulerian hydrodynamics codes. We have tested thisnew method and found that it produces excellent agreement with analyticsolutions. In analyzing our sink particle method, we present a method forevaluating the disk viscosity parameter $\alpha$ due to the numerical viscosityof a hydrodynamics code, and use it to compute $\alpha$ for our Cartesian AMRcode. We also present a simple application of this new method: studying thetransition from Bondi to Bondi-Hoyle accretion that occurs when a shock hits aparticle undergoing Bondi accretion.Comment: 35 pages, 10 figures. Submitted to Ap

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom