Detecting Binary Compact-object Mergers with Gravitational Waves: Understanding and Improving the Sensitivity of the PyCBC Search
Detecting Binary Compact-object Mergers with Gravitational Waves: Understanding and Improving the Sensitivity of the PyCBC Search
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DOI：
10.3847/1538-4357/aa8f50
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发表时间：
2017-05
期刊：
影响因子：
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通讯作者：
A. Nitz;T. Dent;T. Dal Canton;S. Fairhurst;Duncan A. Brown
中科院分区：
文献类型：
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作者：
A. Nitz;T. Dent;T. Dal Canton;S. Fairhurst;Duncan A. Brown
我们提出了一个改进的搜索二进制紧凑的对象合并使用网络的地面引力波探测器。我们建模的体积，各向同性的源人口，并将由此产生的分布在信号幅度，时间延迟，合并阶段到候选事件的排名。我们描述了一种改进的建模的背景分布，并证明将一个先验模型的二进制质量分布的候选事件的排名。我们发现模拟的双中子星星和中子星星黑洞系统的探测体积分别增加了10%和20%，对应于分配给信号的虚警率减少了一到两个数量级。
We present an improved search for binary compact-object mergers using a network of ground-based gravitational-wave detectors. We model a volumetric, isotropic source population and incorporate the resulting distribution over signal amplitude, time delay, and coalescence phase into the ranking of candidate events. We describe an improved modeling of the background distribution, and demonstrate incorporating a prior model of the binary mass distribution in the ranking of candidate events. We find an ∼ 10 % and ∼ 20 % increase in detection volume for simulated binary neutron star and neutron star black hole systems, respectively, corresponding to a reduction of the false alarm rates assigned to signals by between one and two orders of magnitude.