模板库构造的平衡作用：用于引力波探测器的螺旋波形模板库和固定计算成本的优化
The balancing act of template bank construction: inspiral waveform template banks for gravitational-wave detectors and optimizations at fixed computational cost
摘要：
引力波搜寻来自螺旋形紧密双星的信号依赖于匹配的滤波波形库（称为模板库），试图从探测器数据中提取信号波形。这些模板银行已被构造使用四个主要的考虑因素，感兴趣的参数空间的区域，检测器的灵敏度，匹配的滤波带宽，和灵敏度一个愿意失去由于模板放置的粒度，后者是由最小匹配。在这项工作中，我们描述了如何选择较低的频率截止，匹配滤波器频带的低端，可以优化检测。我们还展示了如何在有限的计算资源的情况下，可以最佳地选择最小的匹配。这些技术应用于搜索二元中子星信号，这些信号以前在分析初始LIGO和Virgo数据时已经执行，并将使用预期的探测器灵敏度分析高级LIGO和高级Virgo数据。通过遵循这里提出的算法，预测这些搜索的体积灵敏度将在不增加执行搜索的计算成本的情况下得到改善。
英文摘要：
Gravitational-wave searches for signals from inspiralling compact binaries have relied on matched filtering banks of waveforms (called template banks) to try to extract the signal waveforms from the detector data. These template banks have been constructed using four main considerations, the region of parameter space of interest, the sensitivity of the detector, the matched filtering bandwidth, and the sensitivity one is willing to lose due to the granularity of template placement, the latter of which is governed by the minimal match. In this work we describe how the choice of the lower frequency cutoff, the lower end of the matched filter frequency band, can be optimized for detection. We also show how the minimal match can be optimally chosen in the case of limited computational resources. These techniques are applied to searches for binary neutron star signals that have been previously performed when analyzing Initial LIGO and Virgo data and will be performed analyzing Advanced LIGO and Advanced Virgo data using the expected detector sensitivity. By following the algorithms put forward here, the volume sensitivity of these searches is predicted to improve without increasing the computational cost of performing the search.
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