Published April 15, 2005
| Version v1
Journal article
Computational relativistic astrophysics with adaptive mesh refinement: Testbeds
Creators
- 1. McDonnell Center for the Space Sciences, Department of Physics, Washington University, St. Louis, Missouri 63130 (United States)
- 2. Albert-Einstein-Institut, Am Muehlenberg 1, D-14467, Potsdam (Germany)
- 3. Physics Department, University of Hong Kong, Hong Kong (China)
Description
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. We show AMR simulations of NS binary inspiral and coalescence carried out on a workstation having an accuracy equivalent to that of a 10253 regular unigrid 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
Additional details
Identifiers
- DOI
- 10.1103/PhysRevD.71.081301;
- arXiv
- arXiv:gr-qc/0501066v2;
Publishing Information
- Journal Title
- Physical Review. D, Particles Fields
- Journal Volume
- 71
- Journal Issue
- 8
- Journal Page Range
- p. 081301-081301.5
- ISSN
- 0556-2821
- CODEN
- PRVDAQ
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37023375
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ACCURACY; ASTROPHYSICS; COALESCENCE; COMPUTERIZED SIMULATION; COSMOLOGY; EINSTEIN FIELD EQUATIONS; RELATIVISTIC RANGE
- Descriptors DEC
- ENERGY RANGE; EQUATIONS; FIELD EQUATIONS; PHYSICS; SIMULATION
Optional Information
- Notes
- (c) 2005 The American Physical Society