Improved analysis of GW150914 using a fully spin-precessing waveform model
Document Type
Article
Publication Date
10-21-2016
Keywords
Gravitational waves, binary stars, Black holes
Abstract
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-one-body (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+5−3 M⊙ and 30+3−4 M⊙ (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.
Journal Title
Physical Review X
Volume
6
First Page
041014
Last Page
041014
DOI
https://doi.org/10.1103/PhysRevX.6.041014
First Department
Physics
Recommended Citation
Summerscales, Tiffany and LIGO Scientific Collaboration and the Virgo Collaboration, "Improved analysis of GW150914 using a fully spin-precessing waveform model" (2016). Faculty Publications. 283.
https://digitalcommons.andrews.edu/pubs/283