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arXiv 1802.07255astro-ph.HE
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用候选事件的贝叶斯分类提高核塌缩超新星引力波的探测灵敏度

Enhancing the Sensitivity of Searches for Gravitational Waves from Core-Collapse Supernovae with a Bayesian classification of candidate events

Kiranjyot Gill, Wenhui Wang, Oscar Valdez, Marek Szczepanczyk, Michele Zanolin, Soma Mukherjee

摘要:

我们演示了如何形态否决涉及贝叶斯统计可以提高接收器操作特性(ROC)曲线的核心塌陷超新星(CCSNe)的当前搜索的相干波(cWB)算法实现。涉及贝叶斯波(BW)的两种实现方式的示例,一种不假设引力波(GW)的偏振状态,另一种使用先前用于双星系统的相同椭圆偏振设置,这些示例在当前用于第一次和第二次高级LIGO(aLIGO)科学运行的波形集上提供,用于目标CCSNe搜索。提供了全天空搜索与具有光学触发器的目标搜索的性能的比较。相对于固定的假警报率(FAR),缓慢旋转波形的平均cWB+BW ROC范围改善为[+1.30%,+15.76%],而快速旋转波形的改善为[+1.19%,+22.05%]。BW到CCSN GW触发器的应用还示出了FAR的显著降低,同时保持检测效率并保持对宽范围的形态CCSNe信号的敏感性。看来,代码开发的任意极化信号优于以前的代码的GW形态测试。

英文摘要:

We demonstrate how a morphological veto involving Bayesian statistics can improve the receiver-operating characteristic (ROC) curves of the current search for core-collapse supernovae (CCSNe) as implemented by the coherent Waveburst (cWB) algorithm. Examples involving two implementations of BayesWave (BW), one that makes no assumption of the polarization state of the gravitational wave (GW) and one that uses the same elliptical polarization settings adopted in previous usages for Binary systems are provided on the set of waveforms currently adopted for the first and second Advanced LIGO (aLIGO) science runs for the targeted CCSNe search. A comparison of the performance for all-sky searches versus the targeted searches with optical triggers is provided. The average cWB+BW ROC range improvements with respect to a fixed false-alarm rate (FAR) for slowly-rotating waveforms ranged from [+1.30%, +15.76%] while the improvement for rapidly-rotating waveforms were on the order of [+1.19%, +22.05%]. The application of BW to CCSN GW triggers also shows a significant reduction of the FAR while maintaining detection efficiency and remaining sensitive to a wide range of morphological CCSNe signals. It appears that the code developed for arbitrarily polarized signals outperforms the previous code for the GW morphologies tested.

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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