The first observational run of the Advanced LIGO detectors, from September 12, 2015 to January 19, 2016, saw the first detections of gravitational waves from binary black hole mergers. In this paper, we present full results from a search for binary black hole merger signals with total masses up to 100M⊙ and detailed implications from our observations of these systems. Our search, based on general-relativistic models of gravitational-wave signals from binary black hole systems, unambiguously identified two signals, GW150914 and GW151226, with a significance of greater than 5σ over the observing period. It also identified a third possible signal, LVT151012, with substantially lower significance and with an 87% probability of being of astrophysical origin. We provide detailed estimates of the parameters of the observed systems. Both GW150914 and GW151226 provide an unprecedented opportunity to study the two-body motion of a compact-object binary in the large velocity, highly nonlinear regime. We do not observe any deviations from general relativity, and we place improved empirical bounds on several high-order post-Newtonian coefficients. From our observations, we infer stellar-mass binary black hole merger rates lying in the range 9-240 Gpc-3 yr-1. These observations are beginning to inform astrophysical predictions of binary black hole formation rates and indicate that future observing runs of the Advanced detector network will yield many more gravitational-wave detections.
B. P. Abbott et al., "Binary Black Hole Mergers in the First Advanced LIGO Observing Run," Physical Review X, vol. 6, no. 4, American Physical Society (APS), Oct 2016.
The definitive version is available at https://doi.org/10.1103/PhysRevX.6.041015
Keywords and Phrases
Astrophysics; Bins; Gravitation; Gravitational effects; Gravity waves; Mergers and acquisitions; Merging; Relativity; Advanced detector; Black hole formation; Empirical bounds; General Relativity; Gravitational-wave detection; Gravitational-wave signals; Non-linear regimes; Relativistic model; Stars
International Standard Serial Number (ISSN)
Article - Journal
© 2016 American Physical Society (APS), All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 3.0 License.