Regression of environmental noise in LIGO data
Regression of environmental noise in LIGO data
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LIGO 数据中环境噪声的回归
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
I. Yakushin
中科院分区：
文献类型：
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作者：
V. Tiwari;M. Drago;V. Frolov;S. Klimenko;G. Mitselmakher;V. Necula;G. Prodi;V. Re;F. Salemi;G. Vedovato;I. Yakushin
我们解决的问题，噪声回归的引力波（GW）干涉仪的输出，从物理环境监测器（PEM）的数据。回归分析的目的是从PEM测量值预测GW信道中的环境噪声。最有前途的回归方法之一是基于Wiener-Kolmogorov（WK）滤波器的构造。利用这种方法，已经执行了来自LIGO GW通道的地震噪声消除。在所提出的方法WK方法已被扩展，纳入银行的维纳滤波器在时间-频率域，多通道分析和调节方案，这大大提高了通用性的回归分析。此外，我们提出的第一个结果回归的双相干噪声的LIGO数据。
We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM). The objective of the regression analysis is to predict environmental noise in the GW channel from the PEM measurements. One of the most promising regression methods is based on the construction of Wiener–Kolmogorov (WK) filters. Using this method, the seismic noise cancellation from the LIGO GW channel has already been performed. In the presented approach the WK method has been extended, incorporating banks of Wiener filters in the time–frequency domain, multi-channel analysis and regulation schemes, which greatly enhance the versatility of the regression analysis. Also we present the first results on regression of the bi-coherent noise in the LIGO data.