A single-domain spectral method for black hole puncture data

Astronomy and Astrophysics – Astrophysics – General Relativity and Quantum Cosmology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

13 pages, 6 figures; published version with one important change, see Fig. 4 and the corresponding changes to the text

Scientific paper

10.1103/PhysRevD.70.064011

We calculate puncture initial data corresponding to both single and binary black hole solutions of the constraint equations by means of a pseudo-spectral method applied in a single spatial domain. Introducing appropriate coordinates, these methods exhibit rapid convergence of the conformal factor and lead to highly accurate solutions. As an application we investigate small mass ratios of binary black holes and compare these with the corresponding test mass limit that we obtain through a semi-analytical limiting procedure. In particular, we compare the binding energy of puncture data in this limit with that of a test particle in the Schwarzschild spacetime and find that it deviates by 50% from the Schwarzschild result at the innermost stable circular orbit of Schwarzschild, if the ADM mass at each puncture is used to define the local black hole masses.

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

A single-domain spectral method for black hole puncture data 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 A single-domain spectral method for black hole puncture data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A single-domain spectral method for black hole puncture data will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-247190

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