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Pearson cross-correlation in the first four black hole binary mergers
Journal of Cosmology and Astroparticle Physics ( IF 6.4 ) Pub Date : 2020-11-23 , DOI: 10.1088/1475-7516/2020/11/043 Paolo Marcoccia 1 , Felicia Fredriksson 2 , Alex B. Nielsen 1, 3 , Germano Nardini 1
Journal of Cosmology and Astroparticle Physics ( IF 6.4 ) Pub Date : 2020-11-23 , DOI: 10.1088/1475-7516/2020/11/043 Paolo Marcoccia 1 , Felicia Fredriksson 2 , Alex B. Nielsen 1, 3 , Germano Nardini 1
Affiliation
We adopt the Pearson cross-correlation measure to analyze the LIGO Hanford and LIGO Livingston detector data streams around the events GW150914, GW151012,GW151226 and GW170104. We find that the Pearson cross-correlation method is sensitive to these signals, with correlations peaking when the black hole binaries reconstructed by the LIGO Scientific and Virgo Collaborations, are merging. We compare the obtained cross-correlations with the statistical correlation fluctuations arising in simulated Gaussian noise data and in LIGO data at times when no event is claimed. Our results for the significance of the observed cross-correlations are broadly consistent with those announced by the LIGO Scientific and Virgo Collaborations based on matched-filter analysis. In the same data, if we subtract the maximum likelihood waveforms corresponding to the announced signals, no residual cross-correlations persists at a statistically significant level.
中文翻译:
前四次黑洞二元合并中的皮尔逊互相关
我们采用 Pearson 互相关度量来分析围绕事件 GW150914、GW151012、GW151226 和 GW170104 的 LIGO Hanford 和 LIGO Livingston 探测器数据流。我们发现 Pearson 互相关方法对这些信号很敏感,当 LIGO Scientific 和 Virgo Collaborations 重建的黑洞双星合并时,相关性达到峰值。我们将获得的互相关性与模拟高斯噪声数据和 LIGO 数据中出现的统计相关性波动进行比较,在没有声明事件的情况下。我们对观察到的互相关的重要性的结果与 LIGO Scientific 和 Virgo Collaborations 基于匹配滤波器分析宣布的结果大致一致。在同样的数据中,
更新日期:2020-11-23
中文翻译:
前四次黑洞二元合并中的皮尔逊互相关
我们采用 Pearson 互相关度量来分析围绕事件 GW150914、GW151012、GW151226 和 GW170104 的 LIGO Hanford 和 LIGO Livingston 探测器数据流。我们发现 Pearson 互相关方法对这些信号很敏感,当 LIGO Scientific 和 Virgo Collaborations 重建的黑洞双星合并时,相关性达到峰值。我们将获得的互相关性与模拟高斯噪声数据和 LIGO 数据中出现的统计相关性波动进行比较,在没有声明事件的情况下。我们对观察到的互相关的重要性的结果与 LIGO Scientific 和 Virgo Collaborations 基于匹配滤波器分析宣布的结果大致一致。在同样的数据中,