nanogravity 15年数据集:检测器特性和噪声预算

G. Agazie, A. Anumarlapudi, A. Archibald, Z. Arzoumanian, P. Baker, B. Bécsy, L. Blecha, A. Brazier, P. Brook, S. Burke-Spolaor, M. Charisi, S. Chatterjee, T. Cohen, J. Cordes, N. Cornish, F. Crawford, H. Cromartie, K. Crowter, M. DeCesar, P. Demorest, T. Dolch, B. Drachler, E. Ferrara, W. Fiore, E. Fonseca, G. Freedman, N. Garver-Daniels, P. Gentile, J. Glaser, D. Good, Lydia Guertin, K. Gültekin, J. Hazboun, R. Jennings, A. Johnson, Megan L. Jones, A. Kaiser, D. Kaplan, L. Kelley, M. Kerr, J. Key, N. Laal, M. Lam, W. Lamb, T. Joseph W. Lazio, N. Lewandowska, Tingting Liu, D. Lorimer, Jing Luo, R. Lynch, Chung-Pei Ma, D. Madison, A. McEwen, J. McKee, M. Mclaughlin, N. McMann, B. W. Meyers, C. Mingarelli, A. Mitridate, C. Ng, D. Nice, S. Ocker, K. Olum, T. Pennucci, B. Perera, N. Pol, H. Radovan, S. Ransom, P. Ray, J. Romano, S. C. Sardesai, A. Schmiedekamp, C. Schmiedekamp, K. Schmitz, B. Shapiro-Albert, X. Siemens, J. Simon, M. Siwek, I. Stairs, D. Stinebring, K. Stovall, A. Susobhanan, J. Swiggum, S. T
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引用次数: 29

摘要

脉冲星定时阵列(PTAs)是一种银河系尺度的引力波探测器。每一个单独的臂由一个毫秒脉冲星、一个射电望远镜和一个千秒差距长的路径组成,它们的特性不同,但总的来说,可以用来提取低频的GW信号。我们在NANOGrav 15年数据发布和相关论文中提供了噪声和敏感性分析,并深入介绍了PTA噪声模型。作为我们分析的第一步,我们用三种白噪声参数和两种红噪声参数来描述每个脉冲星数据集。这些参数,连同时序模型,特别是时变色散测量的分段常数模型,决定了我们正在寻找的低频GW波段的灵敏度曲线。我们将本次数据发布中所有脉冲星的信息制成表格,并给出一些具有代表性的灵敏度曲线。然后,我们使用信噪比统计结合单个脉冲星的灵敏度来计算PTA对GWs随机背景的全局灵敏度,得到5 nHz下的最小噪声特征应变为7 × 10−15。幂律综合分析显示,与NANOGrav的15年GW背景分析中恢复的振幅大致一致。虽然我们的现象学噪声模型不能明确地模拟所有已知的物理效应,但它提供了数据中噪声的准确表征,同时保持了对多类GW信号的灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The NANOGrav 15 yr Data Set: Detector Characterization and Noise Budget
Pulsar timing arrays (PTAs) are galactic-scale gravitational wave (GW) detectors. Each individual arm, composed of a millisecond pulsar, a radio telescope, and a kiloparsecs-long path, differs in its properties but, in aggregate, can be used to extract low-frequency GW signals. We present a noise and sensitivity analysis to accompany the NANOGrav 15 yr data release and associated papers, along with an in-depth introduction to PTA noise models. As a first step in our analysis, we characterize each individual pulsar data set with three types of white-noise parameters and two red-noise parameters. These parameters, along with the timing model and, particularly, a piecewise-constant model for the time-variable dispersion measure, determine the sensitivity curve over the low-frequency GW band we are searching. We tabulate information for all of the pulsars in this data release and present some representative sensitivity curves. We then combine the individual pulsar sensitivities using a signal-to-noise ratio statistic to calculate the global sensitivity of the PTA to a stochastic background of GWs, obtaining a minimum noise characteristic strain of 7 × 10−15 at 5 nHz. A power-law-integrated analysis shows rough agreement with the amplitudes recovered in NANOGrav’s 15 yr GW background analysis. While our phenomenological noise model does not model all known physical effects explicitly, it provides an accurate characterization of the noise in the data while preserving sensitivity to multiple classes of GW signals.
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