A waveform model for the eccentric binary black holes named SEOBNRE has been used to analyze the LIGO-Virgo’s gravitational wave data by several groups. The accuracy of this model has been validated by comparing it with numerical relativity. However, SEOBNRE is a time-domain model, and the efficiency for generating waveforms is a bottleneck in data analysis. To overcome this disadvantage, we offer a reduced-order surrogate model for eccentric binary black holes based on the SEOBNRE waveforms. This surrogate model (SEOBNRE_S) can simulate the complete inspiral-merger-ringdown waves with enough accuracy, covering eccentricities from 0 to 0.25 (0.1), and mass ratio from $1:1$ to $5:1$ ($2:1$) for nonspinning (spinning) binaries. The speed of waveform generation is accelerated about ${10}^2–{10}^3$ times more than the original SEOBNRE model. Therefore SEOBNRE_S could be helpful in the analysis of LIGO data to find potential eccentricities.

中文翻译：

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偏心自旋对齐双黑洞引力波形的替代模型

一个名为 SEOBNRE 的偏心双黑洞波形模型已被几个小组用于分析 LIGO-Virgo 的引力波数据。通过与数值相对论的比较，验证了该模型的准确性。但是SEOBNRE是时域模型，生成波形的效率是数据分析的瓶颈。为了克服这个缺点，我们提供了一个基于 SEOBNRE 波形的偏心二元黑洞的降阶替代模型。该替代模型 (SEOBNRE_S) 可以以足够的精度模拟完整的吸入-合并-衰荡波，涵盖从 0 到 0.25 (0.1) 的偏心率，以及从$1:1$ 至 $5:1$ ($2:1$) 用于非旋转（旋转）二进制文件。波形生成速度加快约${10}^2\mathrm{——}{10}^3$比原来的 SEOBNRE 模型多倍。因此，SEOBNRE_S 可能有助于分析 LIGO 数据以发现潜在的怪癖。