Characterizing the Nanohertz Gravitational Wave Background Using a t-process Power Spectral Density

Shashwat C. Sardesai, Joseph Simon and Sarah J. Vigeland
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Abstract

Pulsar timing arrays (PTAs) are sensitive to low-frequency gravitational waves (GWs), which induce correlated changes in millisecond pulsars’ timing residuals. PTA collaborations around the world have recently announced evidence of a nanohertz gravitational wave background (GWB), which may be produced by a population of supermassive black hole binaries (SMBHBs). The GWB is often modeled as following a power-law power spectral density (PSD); however, a GWB produced by a cosmological population of SMBHBs is expected to have a more complex power spectrum due to the discrete nature of the sources. In this paper, we investigate using a t-process PSD to model the GWB, which allows us to fit for both the underlying power-law amplitude and spectral index as well as deviations from that power law, which may be produced by individual nearby binaries. We create simulated data sets based on the properties of the NANOGrav 15 yr data set, and we demonstrate that the t-process PSD can accurately recover the PSD when deviations from a power law are present. With longer timed data sets and more pulsars, we expect the sensitivity of our PTAs to improve, which will allow us to precisely measure the PSD of the GWB and study the sources producing it.
利用 t 过程功率谱密度确定纳赫兹引力波背景的特征
脉冲星定时阵列(PTAs)对低频引力波(GWs)很敏感,GWs 会引起毫秒脉冲星定时残差的相关变化。世界各地的 PTA 合作组织最近公布了纳赫兹引力波背景(GWB)的证据,它可能是由超大质量黑洞双星(SMBHBs)群产生的。引力波背景通常被建模为幂律功率谱密度(PSD);然而,由于源的离散性,由宇宙学中的超大质量黑洞群产生的引力波背景预计会有更复杂的功率谱。在本文中,我们研究了使用 t 过程 PSD 来模拟 GWB,这使我们既能拟合基本的幂律振幅和频谱指数,也能拟合可能由附近单个双星产生的幂律偏差。我们根据 NANOGrav 15 年数据集的特性创建了模拟数据集,并证明当出现幂律偏差时,t 过程 PSD 可以准确地恢复 PSD。随着时间更长的数据集和脉冲星数量的增加,我们预计我们的 PTAs 的灵敏度将会提高,这将使我们能够精确测量 GWB 的 PSD 并研究产生它的源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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