Inspiral-Merger-Ringdown Waveforms for Black-Hole Binaries with Nonprecessing Spins
P. AjithLIGO Laboratory, California Institute of Technology, Pasadena, California 91125, USAM HannamGravitational Physics, Faculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, AustriaS. HusaDepartament de Física, Universitat de les Illes Balears, Crta. Valldemossa km 7.5, E-07122 Palma, SpainHsin-Yu ChenTheoretical Astrophysics, California Institute of Technology, Pasadena, California 91125, USABernd BrügmannTheoretisch-Physikalisches Institut, Friedrich Schiller Universität Jena, Max-Wien-Platz 1, 07743 Jena, GermanyNils DorbandMax-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), Am Mühlenberg 1, 14476 Golm, GermanyDoreen MüllerTheoretisch-Physikalisches Institut, Friedrich Schiller Universität Jena, Max-Wien-Platz 1, 07743 Jena, GermanyF. OhmeMax-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), Am Mühlenberg 1, 14476 Golm, GermanyDenis PollneyDepartament de Física, Universitat de les Illes Balears, Crta. Valldemossa km 7.5, E-07122 Palma, SpainChristian ReisswigTheoretical Astrophysics, California Institute of Technology, Pasadena, California 91125, USAL. SantamaríaLIGO Laboratory, California Institute of Technology, Pasadena, California 91125, USAJennifer SeilerMax-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), Am Mühlenberg 1, 14476 Golm, Germany
2011en
ABI
Аннотация
We present the first analytical inspiral-merger-ringdown gravitational waveforms from binary black holes (BBHs) with nonprecessing spins, that is based on a description of the late-inspiral, merger and ringdown in full general relativity. By matching a post-Newtonian description of the inspiral to a set of numerical-relativity simulations, we obtain a waveform family with a conveniently small number of physical parameters. These waveforms will allow us to detect a larger parameter space of BBH coalescence, including a considerable fraction of precessing binaries in the comparable-mass regime, thus significantly improving the expected detection rates.
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