Detecting the stochastic gravitational wave background,revealing the evolutionary processes of the very early universe along with the characteristics of astrophysical source populations is among the leading scientific objectives of the space-borne gravitational wave detector,which will significantly advance our understanding in fundamental physics and astro-physics.In this work,we introduce the null channel method for detecting the stochastic gravitational wave background within a single LISA-like space gravitational wave detector,as well as model and analyze the instrument noise in de-tail.Based on this,we put the Mock LISA Data Challenge 3.5 training dataset into practice.In the Bayesian data analysis framework,Markov chain Monte Carlo algorithm is used to directly evaluate the physical parameters of the injected signal,and the instrument noise and stochastic gravitational wave background are accurately reconstructed.
关键词
随机引力波背景/空间引力波探测器/马尔科夫链蒙特卡罗算法
Key words
stochastic gravitational wave background/space-borne gravitational wave detector/Markov chain Monte Carlo algorithm
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