Inspiral-Merger-Ringdown Waveforms for Black-Hole Binaries with Nonprecessing Spins
P. AjithLIGO Laboratory, California Institute of Technology, Pasadena, California 91125, USAM HannamSchool of Physics and Astronomy, Cardiff University, Queens Building, CF24 3AA, Cardiff, United KingdomS. 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
Annotatsiya
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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