NANOGrav 15年数据集：六颗脉冲的色彩高斯过程噪声模型
高能天体物理现象
2024-05-27 v1 星系天体物理
天体物理仪器与方法
摘要
脉冲 timing 数组(PTA)旨在检测低频引力波(GW)。GW可在PTA数据中诱导无色彩信号，意味着timing延迟不依赖于射频频率。然而，脉冲到达时间也受来自色彩噪声的影响，如色度测度(DM)和散射延迟变化。此外，GW信号的表征可能受到每颗脉冲色彩噪声模型选择的影响。为更好地理解这一影响，我们评估了不同色彩噪声模型如何影响每颗脉冲的无色彩噪声特性。我们比较的模型包括NANOGrav使用的现有DM模型以及欧洲PTA数据发布2(EPTA DR2)使用的噪声模型。我们使用来自NANOGrav 15年数据集的六颗脉冲子样本进行此比较，选取与EPTA DR2六脉冲数据集相同的六颗脉冲。我们发现，色彩噪声模型的选择对几颗脉冲的无色彩噪声特性产生显著影响。这在PSR J1713+0747上最为显著，其无色彩红噪声振幅从 降至 ，谱指数也从 扩展至 。我们还将每颗脉冲的噪声特性与来自EPTA DR2的噪声特性进行比较，using相同的模型。通过这些差异，我们识别出了噪声模型可能需要改进的领域。这些结果凸显了定制色彩噪声模型提高PTA对GW灵敏度的潜力。
引用
@article{arxiv.2405.14941,
title = {The NANOGrav 15 yr Data Set: Chromatic Gaussian Process Noise Models for Six Pulsars},
author = {Bjorn Larsen and Chiara M. F. Mingarelli and Jeffrey S. Hazboun and Aurelien Chalumeau and Deborah C. Good and Joseph Simon and Gabriella Agazie and Akash Anumarlapudi and Anne M. Archibald and Zaven Arzoumanian and Paul T. Baker and Paul R. Brook and H. Thankful Cromartie and Kathryn Crowter and Megan E. DeCesar and Paul B. Demorest and Timothy Dolch and Elizabeth C. Ferrara and William Fiore and Emmanuel Fonseca and Gabriel E. Freedman and Nate Garver-Daniels and Peter A. Gentile and Joseph Glaser and Ross J. Jennings and Megan L. Jones and David L. Kaplan and Matthew Kerr and Michael T. Lam and Duncan R. Lorimer and Jing Luo and Ryan S. Lynch and Alexander McEwen and Maura A. McLaughlin and Natasha McMann and Bradley W. Meyers and Cherry Ng and David J. Nice and Timothy T. Pennucci and Benetge B. P. Perera and Nihan S. Pol and Henri A. Radovan and Scott M. Ransom and Paul S. Ray and Ann Schmiedekamp and Carl Schmiedekamp and Brent J. Shapiro-Albert and Ingrid H. Stairs and Kevin Stovall and Abhimanyu Susobhanan and Joseph K. Swiggum and Haley M. Wahl and David J. Champion and Ismael Cognard and Lucas Guillemot and Huanchen Hu and Michael J. Keith and Kuo Liu and James W. McKee and Aditya Parthasarathy and Delphine Perrodin and Andrea Possenti and Golam M. Shaifullah and Gilles Theureau},
journal= {arXiv preprint arXiv:2405.14941},
year = {2024}
}