English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Computational Relativistic Astrophysics With Adaptive Mesh Refinement: Testbeds

MPS-Authors

Iyer,  Sai
Geometric Analysis and Gravitation, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

Schnetter,  Erik
Geometric Analysis and Gravitation, AEI-Golm, 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)

0501066.pdf
(Preprint), 541KB

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

Evans, E., Iyer, S., Schnetter, E., Suen, W.-M., Tao, J., Wolfmeyer, R., et al. (2005). Computational Relativistic Astrophysics With Adaptive Mesh Refinement: Testbeds. Physical Review D, 71: 081301. Retrieved from http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PRVDAQ000071000008081301000001&idtype=cvips&gifs=yes.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-4EC0-B
Abstract
We have carried out numerical simulations of strongly gravitating systems based on the Einstein equations coupled to the relativistic hydrodynamic equations using adaptive mesh refinement (AMR) techniques. AMR coalescences of neutron stars can now be simulated with sufficient resolution covering the neutron stars while having the computational domain extend to the local wave zone. We show an AMR simulation carried out with a workstation having an accuracy equivalent to that of a 1025^3 regular uni-grid simulation, which is, to the best of our knowledge, larger than all previous simulations of similar NS systems on supercomputers. We believe the capability opens new possibilities in general relativistic simulations.