Statistics – Computation
Scientific paper
May 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aas...212.5306m&link_type=abstract
American Astronomical Society, AAS Meeting #212, #53.06; Bulletin of the American Astronomical Society, Vol. 40, p.250
Statistics
Computation
Scientific paper
We present simulations of the inspiral, merger and eventual collapse of neutron star binaries calculated in full general relativity. The Einstein equations are solved in a first order reduction of the general harmonic formulation while the matter is evolved in the MHD approximation. Each binary component initially has a dipole magnetic field perpendicular to the orbital plane. We use the adaptive mesh refinement package HAD to resolve the disparate length scales in the problem ranging from the radiation zone down to the internal dynamics of the neutron stars. For aligned fields and our chosen field strength, we find that magnetic effects delay the merger somewhat - thus boosting the gravitational wave signal from the binary. As we will discuss, the magnetic field significantly impacts the distribution of matter and angular momentum in the super-massive, merged object after merger. This work has been supported in part by NSF grants AST 04-07070 and PHY 03-26311, and in part through NASA's ATP program grants NAG5-8497, NAG5-13430 and NNX07AG84G. The computations were performed on computer facilities provided through the Teragrid, LONI, LSU and BYU.
Anderson Malcolm
Hirschman E. W.
Lehner Luis
Liebling Steven L.
Motl Patrick M.
No associations
LandOfFree
Simulations of the Inspiral and Merger of Magnetized Neutron Stars does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Simulations of the Inspiral and Merger of Magnetized Neutron Stars, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Simulations of the Inspiral and Merger of Magnetized Neutron Stars will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1396568