论文标题
通过时间延迟干涉法组合抑制重力参考传感器的数据异常
Suppressing data anomalies of gravitational reference sensors with time delay interferometry combinations
论文作者
论文摘要
对于Lisa和Taiji任务，瞬态和连续数据异常都将对重力波信号的检测，估计以及随后的科学解释构成重大挑战。正如Lisa Pathfinder和Taiji-1的经验所表明的那样，这些异常可能源于由于常规的维护以及意外的环境或工具性问题而引起的重力参考传感器的干扰。为了有效缓解此类异常，从而增强了科学输出的鲁棒性和可靠性，我们建议采用``抑制位置噪声''的时间延迟干涉测量通道。通过分析推导和数值模拟，我们证明了这些时间延迟干涉仪可以在0.1 MHz -0.05 Hz的敏感频带内抑制数据异常超过2个数量级，同时仍然对大多数目标信号保持敏感。与关注重建和减去数据异常的现有研究相比，我们的方法不依赖于对异常模型的先验知识。此外，还探索了这些渠道的潜在应用方案。
For the LISA and Taiji missions, both transient and continuous data anomalies would pose significant challenges to the detection, estimation, and subsequent scientific interpretation of gravitational wave signals. As is indicated by the experiences of LISA PathFinder and Taiji-1, these anomalies may originate from the disturbances of the gravitational reference sensors due to routine maintenances and unexpected environmental or instrumental issues. To effectively mitigate such anomalies and thereby enhance the robustness and reliability of the scientific outputs, we suggest to employ the ``position noise suppressing'' time delay interferometry channels. Through analytical derivations and numerical simulations, we demonstrate that these time delay interferometry channels can suppress data anomalies by more than 2 orders of magnitude within the sensitive band of 0.1 mHz - 0.05 Hz, while still remaining sensitive to most of the target signals. Compared with existing researches that focus on reconstructing and subtracting data anomalies, our method does not rely on the prior knowledge about the models of anomalies. Furthermore, the potential application scenarios of these channels have also been explored.
