Statistical Analysis of LISA Pathfinder Noise

被引：0
|
作者：
Ferraioli, L. [1 ]
机构：
[1] Univ Paris Diderot, Obs Paris, Sorbonne Paris Cite, APC,CEA Ifru,CNRS IN2P3, Paris, France
来源：
9TH LISA SYMPOSIUM | 2013年 / 467卷
关键词：
D O I：
暂无
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
LISA Pathfinder (LPF) is an European Space Agency mission aiming to create the quietest environment for free-falling test masses in order to pave the way to the forthcoming space-based gravitational wave detectors. Reaching such an ambitious target will require a significant amount of system optimisation and characterisation, which will in turn require accurate and quantitative noise analysis procedures. In this paper we present a statistical procedure for the analysis of the noise in spectral domain that is based on the Kolmogorov-Smirnov test. The application on LPF synthetic data reveals the versatility of the Kolmogorov-Smirnov approach, which can easily cope with the correlations introduced by the Welch's overlapped segment averaging method for the calculation of the sample spectrum.
引用
收藏
页码：265 / 270
页数：6
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