论文标题
识别和解决非组织Lisa噪声
Identifying and Addressing Nonstationary LISA Noise
论文作者
论文摘要
我们预计激光干涉仪空间天线（LISA）的噪声将在整个任务过程中表现出非平稳性，这是由于天线重点，飞船运动的循环性以及Lisa Pathfinder突出显示的小故障的因素。在本文中，我们使用替代数据方法来测试不依赖高斯性假设的时间序列的平稳性。主要目标是确定未来丽莎任务中的噪音非组织性。这对于确定丽莎噪声功率频谱密度（PSD）的频率是必要的，需要更新参数估计例程。我们进行了一项彻底的模拟研究，说明了假设检验的各种版本的功率/大小，然后将这些方法应用于Lisa Pathfinder的差异加速度测量。我们还制定了一个数据分析策略，用于解决LISA PSD中的非平稳性，在此过程中，我们随着时间的推移更新噪声PSD，同时同时进行参数估计，重点是计划的数据差距。
We anticipate noise from the Laser Interferometer Space Antenna (LISA) will exhibit nonstationarities throughout the duration of its mission due to factors such as antenna repointing, cyclostationarities from spacecraft motion, and glitches as highlighted by LISA Pathfinder. In this paper, we use a surrogate data approach to test the stationarity of a time series which does not rely on the Gaussianity assumption. The main goal is to identify noise nonstationarities in the future LISA mission. This will be necessary for determining how often the LISA noise power spectral density (PSD) will need to be updated for parameter estimation routines. We conduct a thorough simulation study illustrating the power/size of various versions of the hypothesis tests, and then apply these approaches to differential acceleration measurements from LISA Pathfinder. We also develop a data analysis strategy for addressing nonstationarities in the LISA PSD, where we update the noise PSD over time, while simultaneously conducting parameter estimation, with a focus on planned data gaps.
