The Data Analysis in Gravitational Wave Detection

Wang Xiao-ge, Eric Lebigot, Du Zhi-hui, Cao Jun-wei, Wang Yun-yong, Zhang Fan, Cai Yong-zhi, Li Mu-zi, Zhu Zong-hong, Qian Jin, Yin Cong, Wang Jian-bo, Zhao Wen, Zhang Yang, David Blair, Ju Li, Linqing Wen, Chunnong Zhao

Research output: Contribution to journalArticlepeer-review


Gravitational wave (GW) astronomy based on the GW detection is a rising interdisciplinary field, and a new window for humanity to observe the universe, followed after the traditional astronomy with the electromagnetic waves as the detection means, it has a quite important significance for studying the origin and evolution of the universe, and for extending the astronomical research field. The appearance of laser interferometer GW detector has opened a new era of GW detection, and the data processing and analysis of GWs have already been developed quickly around the world, to provide a sharp weapon for the GW astronomy. This paper introduces systematically the tool software that commonly used for the data analysis of GWs, and discusses in detail the basic methods used in the data analysis of GWs, such as the time-frequency analysis, composite analysis, pulsar timing analysis, matched filter, template, χ2 test, and Monte-Carlo simulation, etc.

Original languageEnglish
Pages (from-to)1-31
Number of pages31
JournalChinese Astronomy and Astrophysics
Issue number1
Publication statusPublished - 1 Jan 2017


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