Improved Analysis of GW150914 Using a Fully Spin-Precessing Waveform Model

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Abbott, B. P.; Abbott, R.; Abbott, T. D.; Abernathy, M. R.; Acernese, F. et al. (LIGO Scientific Collaboration and Virgo Collaboration): Improved Analysis of GW150914 Using a Fully Spin-Precessing Waveform Model. In: Physical Review X 6 (2016), Nr. 4, 41014. DOI: https://doi.org/10.1103/PhysRevX.6.041014

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This paper presents updated estimates of source parameters for GW150914, a binary black-hole coalescence event detected by the Laser Interferometer Gravitational-wave Observatory (LIGO) in 2015 [Abbott et al. Phys. Rev. Lett. 116, 061102 (2016).]. Abbott et al. [Phys. Rev. Lett. 116, 241102 (2016).] presented parameter estimation of the source using a 13-dimensional, phenomenological precessing-spin model (precessing IMRPhenom) and an 11-dimensional nonprecessing effective-onebody (EOB) model calibrated to numerical-relativity simulations, which forces spin alignment (nonprecessing EOBNR). Here, we present new results that include a 15-dimensional precessing-spin waveform model (precessing EOBNR) developed within the EOB formalism. We find good agreement with the parameters estimated previously [Abbott et al. Phys. Rev. Lett. 116, 241102 (2016).], and we quote updated component masses of 35(-3)(+5) M-circle dot and 30(-4)(+3) M-circle dot (where errors correspond to 90% symmetric credible intervals). We also present slightly tighter constraints on the dimensionless spin magnitudes of the two black holes, with a primary spin estimate < 0.65 and a secondary spin estimate < 0.75 at 90% probability. Abbott et al. [Phys. Rev. Lett. 116, 241102 (2016).] estimated the systematic parameter-extraction errors due to waveform-model uncertainty by combining the posterior probability densities of precessing IMRPhenom and nonprecessing EOBNR. Here, we find that the two precessing-spin models are in closer agreement, suggesting that these systematic errors are smaller than previously quoted.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
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1 image of flag of Germany Germany 134 76.14%
2 image of flag of United States United States 18 10.23%
3 image of flag of China China 7 3.98%
4 image of flag of India India 3 1.70%
5 image of flag of Brazil Brazil 3 1.70%
6 image of flag of France France 2 1.14%
7 image of flag of Taiwan Taiwan 1 0.57%
8 image of flag of Serbia Serbia 1 0.57%
9 image of flag of Korea, Republic of Korea, Republic of 1 0.57%
10 image of flag of Hungary Hungary 1 0.57%
    other countries 5 2.84%

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