GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis
Tianyu Zhao,
Yue Zhou,
Ruijun Shi,
Zhoujian Cao,
Zhixiang Ren
Affiliations
Tianyu Zhao
Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China; Peng Cheng Laboratory, Shenzhen, 518055, China; School of Physics and Astronomy, Beijing Normal University, Beijing, 100875, China; Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University, Beijing, 102206, China
Yue Zhou
Peng Cheng Laboratory, Shenzhen, 518055, China
Ruijun Shi
School of Physics and Astronomy, Beijing Normal University, Beijing, 100875, China; Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University, Beijing, 102206, China
Zhoujian Cao
School of Physics and Astronomy, Beijing Normal University, Beijing, 100875, China; Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University, Beijing, 102206, China; School of Fundamental Physics and Mathematical Sciences, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, 310024, China; Corresponding authors.
Gravitational wave (GW) astronomy has opened new frontiers in understanding the cosmos, while the integration of artificial intelligence (AI) in science promises to revolutionize data analysis methodologies. However, a significant gap exists, as there is currently no dedicated platform that enables scientists to develop, test, and evaluate AI algorithms efficiently for GW data analysis. To address this gap, we introduce GWAI, a pioneering AI-centered software platform designed for GW data analysis. GWAI contains a three-layered architecture that emphasizes simplicity, modularity, and flexibility, covering the entire analysis pipeline. GWAI aims to accelerate scientific discoveries, bridging the gap between advanced AI techniques and astrophysical research.
