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

Improved Analysis of GW150914 Using a Fully Spin-Precessing Waveform Model
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DOI:
10.1103/physrevx.6.041014
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发表时间:
2016-10-21
期刊:
影响因子:
12.5
通讯作者:
Zlochower, Y.
Zlochower, Y.
中科院分区:
物理与天体物理1区
文献类型:
--
作者:
Abbott, B. P.;Abbott, R.;Zlochower, Y.

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本文给出了GW150914的源参数的最新估计,GW150914是激光干涉仪引力波天文台(LIGO)在2015年探测到的一个双星黑洞合并事件[Abbott等人。太棒了。莱特牧师。116,061102(2016年)。]Abbott等人。[物理。莱特牧师。116,241102(2016年)。]给出了使用13维唯象自旋模型(进动IMRPhenom)和11维非进动有效一体体(EOB)模型的源参数估计,该模型经过数值相对论模拟校准,迫使自旋排列(非进动EOBNR)。在这里,我们介绍了新的结果,其中包括在EOB形式下发展的15维进动-自旋波形模型(进动EOBNR)。我们发现与先前估计的参数有很好的一致性[Abbott等人。太棒了。莱特牧师。116,241102(2016).],并引用了35(-3)(+5)M圆点和30(-4)(+3)M圆点的更新分量质量(其中误差对应于90%的对称可信区间)。我们还给出了对这两个黑洞的无量纲自旋强度的稍微严格的限制,第一次自旋估计为0.65,第二次自旋估计为0.75,概率为90%。Abbott等人。[物理。莱特牧师。116,241102(2016年)。]结合处理IMRPhenom和非处理EOBNR的后验概率密度估计了波形模型不确定性引起的系统参数提取误差。在这里,我们发现两个进动-自旋模型更接近于一致,这表明这些系统误差比以前引用的要小。
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.