论文标题
评估PULSAR定时阵列数据集中伪造相关性的流行率
Evaluating the prevalence of spurious correlations in pulsar timing array datasets
论文作者
论文摘要
Pulsar定时阵列协作最近报告了阵列中毫秒脉冲星之间具有共同频谱的噪声过程的证据。这种共同噪声过程的频谱特性与来自Inspiraling超级质量黑洞二进制的各向同性重力波背景(GWB)的期望一致。但是,最近基于Parkes Pulsar定时阵列数据进行的模拟分析表明,这种检测可能出现微不足道。在本文中,我们使用模拟的脉冲星定时阵列数据集进一步测试了GWB的光谱和空间相关性的推理方法的鲁棒性。扩大了以前的结果,我们发现在不存在常见过程的数据集中,在每个PULSAR的广泛定时噪声处方下,在没有共同过程的数据集中存在强大的支持(超过$ 10^5 $)。我们表明,这些结果对定时噪声参数的贝叶斯先验的选择高度敏感,而先验更匹配定时噪声参数的注入分布,从而减少对公共光谱噪声过程的支持。这些结果强调了当前方法的缺点,用于推断常见过程的存在,这意味着检测共同过程并不是检测GWB的可靠前体。对纳米赫兹GWB的未来搜索应继续关注检测空间相关性,并利用更量身定制的规格来进行普通光谱噪声过程。
Pulsar timing array collaborations have recently reported evidence for a noise process with a common spectrum among the millisecond pulsars in the arrays. The spectral properties of this common-noise process are consistent with expectations for an isotropic gravitational-wave background (GWB) from inspiralling supermassive black-hole binaries. However, recent simulation analyses based on Parkes Pulsar Timing Array data indicate that such a detection may arise spuriously. In this paper, we use simulated pulsar timing array datasets to further test the robustness of the inference methods for spectral and spatial correlations from a GWB. Expanding on our previous results, we find strong support (Bayes factors exceeding $10^5$) for the presence of a common-spectrum noise process in datasets where no common process is present, under a wide range of timing noise prescriptions per pulsar. We show that these results are highly sensitive to the choice of Bayesian priors on timing noise parameters, with priors that more closely match the injected distributions of timing noise parameters resulting in diminished support for a common-spectrum noise process. These results emphasize shortcomings in current methods for inferring the presence of a common-spectrum process, and imply that the detection of a common process is not a reliable precursor to detection of the GWB. Future searches for the nanohertz GWB should remain focussed on detecting spatial correlations, and make use of more tailored specifications for a common-spectrum noise process.