TY - JOUR
T1 - Eccentric, nonspinning, inspiral, Gaussian-process merger approximant for the detection and characterization of eccentric binary black hole mergers
AU - Huerta, E. A.
AU - Moore, C. J.
AU - Kumar, Prayush
AU - George, Daniel
AU - Chua, Alvin J.K.
AU - Haas, Roland
AU - Wessel, Erik
AU - Johnson, Daniel
AU - Glennon, Derek
AU - Rebei, Adam
AU - Holgado, A. Miguel
AU - Gair, Jonathan R.
AU - Pfeiffer, Harald P.
N1 - Funding Information:
This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (Awards No. OCI-0725070 and No. ACI-1238993) and the State of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. The eccentric numerical relativity simulations used in this article were generated with the open source, community software, the Einstein Toolkit on the Blue Waters petascale supercomputer and XSEDE (TG-PHY160053). We acknowledge support from the NCSA and the SPIN (Students Pushing Innovation) Program at NCSA. P. K. gratefully acknowledges support for this research at CITA from NSERC of Canada, the Ontario Early Researcher Awards Program, the Canada Research Chairs Program, and the Canadian Institute for Advanced Research. C. J. M. has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant No. 690904 and from STFC Consolidator Grant No. ST/L000636/1. R. H. is supported by NSF Grant No. 1550514. We thank the NCSA Gravity Group for useful feedback and suggestions and Ian Hinder for a painstaking review of this manuscript.
Funding Information:
This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (Awards No.OCI-0725070 and No.ACI-1238993) and the State of Illinois.
Publisher Copyright:
© 2018 American Physical Society.
PY - 2018/1/24
Y1 - 2018/1/24
N2 - We present ENIGMA, a time domain, inspiral-merger-ringdown waveform model that describes nonspinning binary black holes systems that evolve on moderately eccentric orbits. The inspiral evolution is described using a consistent combination of post-Newtonian theory, self-force and black hole perturbation theory. Assuming eccentric binaries that circularize prior to coalescence, we smoothly match the eccentric inspiral with a stand-alone, quasicircular merger, which is constructed using machine learning algorithms that are trained with quasicircular numerical relativity waveforms. We show that ENIGMA reproduces with excellent accuracy the dynamics of quasicircular compact binaries. We validate ENIGMA using a set of Einstein Toolkit eccentric numerical relativity waveforms, which describe eccentric binary black hole mergers with mass-ratios between 1≤q≤5.5, and eccentricities e0â‰0.2 ten orbits before merger. We use this model to explore in detail the physics that can be extracted with moderately eccentric, nonspinning binary black hole mergers. In particular, we use ENIGMA to show that the gravitational wave transients GW150914, GW151226, GW170104, GW170814 and GW170608 can be effectively recovered with spinning, quasicircular templates if the eccentricity of these events at a gravitational wave frequency of 10 Hz satisfies e0≤{0.175,0.125,0.175,0.175,0.125}, respectively. We show that if these systems have eccentricities e0∼0.1 at a gravitational wave frequency of 10 Hz, they can be misclassified as quasicircular binaries due to parameter space degeneracies between eccentricity and spin corrections. Using our catalog of eccentric numerical relativity simulations, we discuss the importance of including higher-order waveform multipoles in gravitational wave searches of eccentric binary black hole mergers.
AB - We present ENIGMA, a time domain, inspiral-merger-ringdown waveform model that describes nonspinning binary black holes systems that evolve on moderately eccentric orbits. The inspiral evolution is described using a consistent combination of post-Newtonian theory, self-force and black hole perturbation theory. Assuming eccentric binaries that circularize prior to coalescence, we smoothly match the eccentric inspiral with a stand-alone, quasicircular merger, which is constructed using machine learning algorithms that are trained with quasicircular numerical relativity waveforms. We show that ENIGMA reproduces with excellent accuracy the dynamics of quasicircular compact binaries. We validate ENIGMA using a set of Einstein Toolkit eccentric numerical relativity waveforms, which describe eccentric binary black hole mergers with mass-ratios between 1≤q≤5.5, and eccentricities e0â‰0.2 ten orbits before merger. We use this model to explore in detail the physics that can be extracted with moderately eccentric, nonspinning binary black hole mergers. In particular, we use ENIGMA to show that the gravitational wave transients GW150914, GW151226, GW170104, GW170814 and GW170608 can be effectively recovered with spinning, quasicircular templates if the eccentricity of these events at a gravitational wave frequency of 10 Hz satisfies e0≤{0.175,0.125,0.175,0.175,0.125}, respectively. We show that if these systems have eccentricities e0∼0.1 at a gravitational wave frequency of 10 Hz, they can be misclassified as quasicircular binaries due to parameter space degeneracies between eccentricity and spin corrections. Using our catalog of eccentric numerical relativity simulations, we discuss the importance of including higher-order waveform multipoles in gravitational wave searches of eccentric binary black hole mergers.
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U2 - 10.1103/PhysRevD.97.024031
DO - 10.1103/PhysRevD.97.024031
M3 - Article
AN - SCOPUS:85042119260
SN - 2470-0010
VL - 97
JO - Physical Review D
JF - Physical Review D
IS - 2
M1 - 024031
ER -