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  Computational Relativistic Astrophysics With Adaptive Mesh Refinement: Testbeds

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-4EC0-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-4EC1-9
Genre: Journal Article

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0501066.pdf (Preprint), 541KB
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 Creators:
Evans, Edwin, Author
Iyer, Sai1, Author
Schnetter, Erik1, Author
Suen, Wai-Mo, Author
Tao, Jian, Author
Wolfmeyer, Randy, Author
Zhang, Hui-Min, Author
Affiliations:
1Geometric Analysis and Gravitation, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_24012              

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 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.

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Language(s): eng - English
 Dates: 2005
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: eDoc: 207120
URI: http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PRVDAQ000071000008081301000001&idtype=cvips&gifs=yes
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Title: Physical Review D
Source Genre: Journal
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Pages: - Volume / Issue: 71 Sequence Number: 081301 Start / End Page: - Identifier: -