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      Identification and mitigation of Advanced LIGO noise sources

      Journal of Physics: Conference Series
      IOP Publishing

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          Observation of Gravitational Waves from a Binary Black Hole Merger

          On September 14, 2015 at 09:50:45 UTC the two detectors of the Laser Interferometer Gravitational-Wave Observatory simultaneously observed a transient gravitational-wave signal. The signal sweeps upwards in frequency from 35 to 250 Hz with a peak gravitational-wave strain of 1.0×10(-21). It matches the waveform predicted by general relativity for the inspiral and merger of a pair of black holes and the ringdown of the resulting single black hole. The signal was observed with a matched-filter signal-to-noise ratio of 24 and a false alarm rate estimated to be less than 1 event per 203,000 years, equivalent to a significance greater than 5.1σ. The source lies at a luminosity distance of 410(-180)(+160)  Mpc corresponding to a redshift z=0.09(-0.04)(+0.03). In the source frame, the initial black hole masses are 36(-4)(+5)M⊙ and 29(-4)(+4)M⊙, and the final black hole mass is 62(-4)(+4)M⊙, with 3.0(-0.5)(+0.5)M⊙c(2) radiated in gravitational waves. All uncertainties define 90% credible intervals. These observations demonstrate the existence of binary stellar-mass black hole systems. This is the first direct detection of gravitational waves and the first observation of a binary black hole merger.
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            Characterization of the LIGO detectors during their sixth science run

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              GW170814: A Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence

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                Author and article information

                Journal
                Journal of Physics: Conference Series
                J. Phys.: Conf. Ser.
                IOP Publishing
                1742-6588
                1742-6596
                March 05 2018
                February 2018
                March 05 2018
                : 957
                : 012004
                Article
                10.1088/1742-6596/957/1/012004
                cd7540bb-a6fb-414d-bdee-9571f8d86504
                © 2018

                http://iopscience.iop.org/info/page/text-and-data-mining

                http://creativecommons.org/licenses/by/3.0/

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