The Gravitational-wave Background Null Hypothesis: Characterizing Noise in Millisecond Pulsar Arrival Times with the Parkes Pulsar Timing Array

D. Reardon, A. Zic, R. Shannon, Valentina Di Marco, G. Hobbs, Agastya Kapur, M. Lower, R. Mandow, H. Middleton, M. T. Miles, Axl F. Rogers, Jacob Askew, M. Bailes, N. Bhat, A. Cameron, M. Kerr, Atharva Kulkarni, R. Manchester, R. Nathan, C. Russell, S. Osłowski, Xingjiang Zhu
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引用次数: 28

Abstract

The noise in millisecond pulsar (MSP) timing data can include contributions from observing instruments, the interstellar medium, the solar wind, solar system ephemeris errors, and the pulsars themselves. The noise environment must be accurately characterized in order to form the null hypothesis from which signal models can be compared, including the signature induced by nanohertz-frequency gravitational waves (GWs). Here we describe the noise models developed for each of the MSPs in the Parkes Pulsar Timing Array (PPTA) third data release, which have been used as the basis of a search for the isotropic stochastic GW background. We model pulsar spin noise, dispersion measure variations, scattering variations, events in the pulsar magnetospheres, solar wind variability, and instrumental effects. We also search for new timing model parameters and detected Shapiro delays in PSR J0614−3329 and PSR J1902−5105. The noise and timing models are validated by testing the normalized and whitened timing residuals for Gaussianity and residual correlations with time. We demonstrate that the choice of noise models significantly affects the inferred properties of a common-spectrum process. Using our detailed models, the recovered common-spectrum noise in the PPTA is consistent with a power law with a spectral index of γ = 13/3, the value predicted for a stochastic GW background from a population of supermassive black hole binaries driven solely by GW emission.
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引力波背景零假设:用帕克斯脉冲星定时阵列表征毫秒脉冲星到达时间中的噪声
毫秒脉冲星(MSP)计时数据中的噪声可能包括观测仪器、星际介质、太阳风、太阳系星历误差和脉冲星本身的贡献。噪声环境必须准确地表征,以便形成零假设,从而可以比较信号模型,包括纳赫兹频率引力波(GWs)引起的信号。本文描述了帕克斯脉冲星定时阵列(PPTA)第三次数据发布中为每个msp开发的噪声模型,该模型已被用作搜索各向同性随机GW背景的基础。我们模拟脉冲星自旋噪声、色散测量变化、散射变化、脉冲星磁层事件、太阳风变率和仪器效应。我们还搜索了新的时序模型参数,并在PSR J0614 - 3329和PSR J1902 - 5105中检测到了夏皮罗延迟。通过测试归一化和白化的时间残差的高斯性和残差与时间的相关性,对噪声和时间模型进行了验证。我们证明了噪声模型的选择显著影响了共谱过程的推断性质。利用我们的详细模型,在PPTA中恢复的共谱噪声符合一个幂律,其光谱指数为γ = 13/3,这是由GW发射驱动的超大质量黑洞双星群体随机GW背景预测的值。
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