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arXiv 0901.1628gr-qc
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初始和高级LIGO用定相后牛顿模板波形的黑洞双星高精度数值模拟的比较

Comparison of high-accuracy numerical simulations of black-hole binaries with stationary phase post-Newtonian template waveforms for Initial and Advanced LIGO

Michael Boyle, Duncan A. Brown, Larne Pekowsky

摘要:

我们研究的有效性,目前使用的地面引力波探测器搜索合并的二元黑洞的静止相位近似后牛顿波形进行比较,从数值模拟的一个等质量的非自旋二元黑洞inspiral,合并和ringdown获得一个准确的波形。我们进行这项研究的初始和先进的LIGO探测器。我们发现,模板和信号之间的重叠可以通过将匹配滤波器集成到比目前使用的频率更高的频率来改善。我们提出了简单的分析频率截止初始和先进的LIGO,实现了接近最佳的匹配,并可以很容易地扩展到不等质量,旋转系统。我们还发现,模板,包括条款的阶段演变高达3.5 pN的顺序几乎总是更好的,很少显着恶化,比目前使用的2.0 pN模板。对于初始LIGO,我们建议使用模板的策略,包括最近在低质量($M \leq 35 \MSun$)区域引入的伪4.0 pN项,以及3.5 pN模板,允许在此之上的对称约化质量$η$的非物理值。对于这里使用的数据,该策略总是实现最优值的0.3%以内的重叠。对于高级LIGO,我们推荐使用3.5 pN模板(最高达$M=12 \MSun$)、2.0 pN模板(最高达$M=21 \MSun$)、伪4.0 pN模板(最高达$65 \MSun$)和3.5 pN模板(含非物理$η$)以获得更高质量。这种策略总是实现Advanced LIGO最佳值的0.7%以内的重叠。

英文摘要:

We study the effectiveness of stationary-phase approximated post-Newtonian waveforms currently used by ground-based gravitational-wave detectors to search for the coalescence of binary black holes by comparing them to an accurate waveform obtained from numerical simulation of an equal-mass non-spinning binary black hole inspiral, merger and ringdown. We perform this study for the Initial- and Advanced-LIGO detectors. We find that overlaps between the templates and signal can be improved by integrating the match filter to higher frequencies than used currently. We propose simple analytic frequency cutoffs for both Initial and Advanced LIGO, which achieve nearly optimal matches, and can easily be extended to unequal-mass, spinning systems. We also find that templates that include terms in the phase evolution up to 3.5 pN order are nearly always better, and rarely significantly worse, than 2.0 pN templates currently in use. For Initial LIGO we recommend a strategy using templates that include a recently introduced pseudo-4.0 pN term in the low-mass ($M \leq 35 \MSun$) region, and 3.5 pN templates allowing unphysical values of the symmetric reduced mass $η$ above this. This strategy always achieves overlaps within 0.3% of the optimum, for the data used here. For Advanced LIGO we recommend a strategy using 3.5 pN templates up to $M=12 \MSun$, 2.0 pN templates up to $M=21 \MSun$, pseudo-4.0 pN templates up to $65 \MSun$, and 3.5 pN templates with unphysical $η$ for higher masses. This strategy always achieves overlaps within 0.7% of the optimum for Advanced LIGO.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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