Chinese Astronomy and Astrophysics 41 (2017) 1–31 CHINESE ASTRONOMY AND ASTROPHYSICS The Data Analysis in Gravitational Wave Detection † ⋆ WANG Xiao-ge 1△ ERIC Lebigot 1 DU Zhi-hui 1 CAO Jun-wei 1 WANG Yun-yong 2 ZHANG Fan 2 CAI Yong-zhi 2 LI Mu-zi 2 ZHU Zong-hong 2 QIAN Jin 3 YIN Cong 3 WANG Jian-bo 3 ZHAO Wen 4 ZHANG Yang 4 DAVID Blair 5 JU Li 5 ZHAO Chun-nong 5 WEN Lin-qing 5 1 Tsinghua University, Beijing 100084 2 Department of Astronomy, Beijing Normal University, Beijing 100875 3 Chinese Academy of Metrology, Beijing 100013 4 University of Science and Technology of China, Hefei 230026 5 University of Western Australia, WA 6009 Abstract 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, χ 2 test, and Monte-Carlo simulation, etc. Key words gravitational wave—laser—interferometer—data analysis † Supported by National Natural Science Foundation (1137301411073005), Strategic Priority Research Program of Chinese Academy of Sciences (XDB09000000), and 973 Project (2012CB8218042014CB845806) Received 2015–08–25; revised version 2015–10–08 ⋆ A translation of Progress in Astronomy Vol. 34, No. 1, pp. 50–73, 2016 △ wangyunyong@bnu.edu.cn 0275-1062/16/$-see front matter © 2017 Elsevier B.V. All rights reserved. doi:10.1016/j.chinastron.2017.01.004