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Improved gravitational waveforms from spinning black hole binaries

Journal Article · · Physical Review. D, Particles Fields
 [1];  [1]
  1. School of Physics and Astronomy, Cardiff University, 5, The Parade, Cardiff, Wales, CF24 3YB (United Kingdom)
The standard post-Newtonian approximation to gravitational waveforms, called T-approximants, from nonspinning black hole binaries are known not to be sufficiently accurate close to the last stable orbit of the system. A new approximation, called P-approximants, is believed to improve the accuracy of the waveforms rendering them applicable up to the last stable orbit. In this study we apply P-approximants to the case of a test particle in equatorial orbit around a Kerr black hole parameterized by a spin-parameter q that takes values between -1 and 1. In order to assess the performance of the two approximants we measure their effectualness (i.e., larger overlaps with the exact signal), and faithfulness (i.e., smaller biases while measuring the parameters of the signal) with the exact (numerical) waveforms. We find that in the case of prograde orbits, that is orbits whose angular momentum is in the same sense as the spin angular momentum of the black hole, T-approximant templates obtain an effectualness of {approx}0.99 for spins q < or approx. 0.75. For 0.75<q<0.95, the effectualness drops to about 0.82. The P-approximants achieve effectualness of >0.99 for all spins up to q=0.95. The bias in the estimation of parameters is much lower in the case of P-approximants than T-approximants. We find that P-approximants are both effectual and faithful and should be more effective than T-approximants as a detection template family when q>0. For q<0 both T- and P-approximants perform equally well so that either of them could be used as a detection template family.
OSTI ID:
20705835
Journal Information:
Physical Review. D, Particles Fields, Journal Name: Physical Review. D, Particles Fields Journal Issue: 2 Vol. 71; ISSN PRVDAQ; ISSN 0556-2821
Country of Publication:
United States
Language:
English

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