General Relativistic Simulations of Binary Neutron Star Mergers

Other

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Merging, Gamma-Ray Sources (Astronomical), Gravitational Waves, Relativity, Galaxy Mergers, Collisions, And Tidal Interactions, Gamma-Ray Sources, Gamma-Ray Bursts, Gravitational Radiation, Magnetic Fields, And Other Observations, Mathematical And Relativistic Aspects Of Cosmology

Scientific paper

Binary neutron star mergers are one of the possible candidates for the central engine of short gamma-ray bursts (GRBs) and they are also powerful sources of gravitational waves. We have used our fully general relativistic hydrodynamical code Whisky to investigate the merger of binary neutron star systems and we have in particular studied the properties of the tori that can be formed by these systems, their possible connection with the engine of short GRBs and the gravitational wave signals that detectors such as advanced LIGO will be able to detect. We have also shown how the mass of the torus varies as a function of the total mass of the neutron stars composing the binary and of their mass ratio and we have found that tori sufficiently massive to power short GRBs can indeed be formed.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

General Relativistic Simulations of Binary Neutron Star Mergers 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 General Relativistic Simulations of Binary Neutron Star Mergers, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and General Relativistic Simulations of Binary Neutron Star Mergers will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1739734

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.