论文标题

合并黑洞:评估两个分析引力波模型的性能

Merging Black Holes: Assessing the Performance of Two Analytic Gravitational Waves Models

论文作者

Buskirk, Dillon, Hamilton, Maria C. Babiuc

论文摘要

合并黑洞在检测器中产生最大的信号。但是,这是通过分析技术准确预测的最困难的信号。只有计算机模拟可以在碰撞期间考虑非线性物理,但它们本质上是复杂的,昂贵的,并且受数值错误的影响。为了绕过这个问题,已经开发了两个合并的分析模型:隐式旋转源(IRS)和较新的后退一个身体(BOB)。在这项工作中,我们通过将BOB模型与较旧的IRS模型以及数值数据进行比较,评估BOB模型的性能,从而确定其优势和劣势。我们的主要发现揭示了幅度的差异,但总体上出色的频率一致性。 BOB模型与IRS和NR模拟相当,具有额外的优势,即它仅间接取决于数值数据,它说明了旋转,并且与Inspiral的分析形式主义提供了无缝拟合。通过独立评估和测试这些模型,我们带来了其可重复性的证据,从而维护了高科学标准,并提供了我们的实施,使读者可以自己评估我们的结果。

Merging black holes produce the loudest signal in the detectors. However, this is the most difficult signal to accurately predict with analytical techniques. Only computer simulations can account for the nonlinear physics during the collision, but they are inherently complex, costly, and affected by numerical errors. In order to bypass this problem, two analytical models for the merger have been developed: the Implicit Rotating Source (IRS) and the newer Backwards one Body (BoB). In this work, we assess the performance of the BoB model by comparing it with the older IRS model and with the numerical data, identifying its strengths and weaknesses. Our main finding reveals discrepancies in amplitude, but overall excellent accord in frequency. The BoB model is comparable with the IRS and NR simulations, having the added advantage that it depends only indirectly on numerical data, it accounts for spin, and it offers a seamless fit with the analytical formalisms for the inspiral. By independently evaluating and testing those models, we bring evidence of their reproducibility, thus upholding high scientific standards, and make available our implementation, enabling readers to evaluate our results themselves.

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