Reducing the impact of seismic activity on the motion of suspended optics is essential for the operation of ground-based gravitational wave detectors. During periods of increased seismic activity, low-frequency ground translation and tilt cause the Advanced LIGO observatories to lose `lock', reducing their duty cycles. This paper applies modern global-optimisation algorithms to aid in the design of the `sensor correction' filter, used in the control of the active platforms. It is shown that a particle swarm algorithm that minimises a cost-function approximating the differential RMS velocity between platforms can produce control filters that perform better across most frequencies in the control bandwidth than those currently installed. These tests were conducted using training data from the LIGO Hanford Observatory seismic instruments and simulations of the HAM-ISI (Horizontal Access Module Internal Seismic Isolation) platforms. These results show that new methods of producing control filters are ready for use at LIGO. The filters were implemented at LIGO's Hanford Observatory, and use the resulting data to refine the cost function.

中文翻译：

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传感器校正滤波器的粒子群

减少地震活动对悬浮光学运动的影响对于地基引力波探测器的运行至关重要。在地震活动增加期间，低频地面平移和倾斜会导致 Advanced LIGO 天文台失去“锁定”，从而降低其工作周期。本文应用现代全局优化算法来帮助设计用于控制有源平台的“传感器校正”滤波器。结果表明，最小化近似平台之间差分 RMS 速度的成本函数的粒子群算法可以产生在控制带宽中的大多数频率上比当前安装的滤波器性能更好的控制滤波器。这些测试是使用来自 LIGO 汉福德天文台地震仪器的训练数据和 HAM-ISI（水平接入模块内部隔震）平台的模拟进行的。这些结果表明，生产控制过滤器的新方法已准备好在 LIGO 使用。过滤器是在 LIGO 的汉福德天文台实现的，并使用结果数据来改进成本函数。