为准备 O4 运行而在 Virgo 应变 h(t) 重建、在线噪声减除和早期预警管道方面的持续改进
On-going improvements in the Virgo strain h(t) reconstruction, online noise subtraction and early-warning pipe in preparation for the O4 run
AI总结：
本文概述了为准备 O4 运行，AdvancedVirgo+ 在应变 h(t) 重建、光学响应监测、偏差校正、在线线性噪声减除及低延迟早期预警管道方面的持续改进，旨在提供高精度 h(t) 并降低预警延迟。
摘要：
在本文中，我们概述了为准备 AdvancedVirgo+ 的观测运行 O4 而对应变 h(t) 重建所做的改进。这些改进的主要目标是提供高精度的 h(t)，并将其不确定度降低至百分之几。首先，我们描述了 Virgo 中应变信号 h(t) 的重建方式，及其与干涉仪和校准的联系。我们强调了计划如何监测干涉仪和镜子的光学响应。我们将描述计划如何校正重建的 h(t) 应变的偏差。我们提出了新的在线线性噪声减除方法，该方法旨在成功处理同样存在于 h(t) 中的相关噪声见证通道。我们提供了低延迟 h(t) 应变重建的状态，其主要目标是减少合并前早期预警警报的延迟。
英文摘要：
In this contribution, we outline the improvements on the strain h(t) reconstruction in preparation for the observing run O4 of AdvancedVirgo+. These improvements have the main goal to provide a h(t) with high precision and reduce its uncertainties on this quantity to a few percent. First, we describe how the reconstruction of the strain signal h(t) is performed in Virgo and its link to the interferometer and its calibration. We highlight how we plan to monitor the optical response of the interferometer and mirrors. We will describe how we plan to correct the bias of the reconstructed h(t) strain. We present the new online linear noise subtraction method, developed to successfully tackle correlated noise witness channels that are also present in h(t). We provide the status of the low-latency h(t) strain reconstruction, which has the main goal to reduce the latency in pre-merger early warning alerts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
