| GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis | |
| Zhao TY(赵天宇)1,2,3,4; Zhou, Yue2; Shi, Ruijun3,4; Cao, Zhoujian3,4,5; Ren, Zhixiang2 | |
| Corresponding Author | Cao, Zhoujian([email protected]) ; Ren, Zhixiang([email protected]) |
| Source Publication | SOFTWAREX
 |
| 2024-12-01 | |
| Volume | 28Pages:8 |
| ISSN | 2352-7110 |
| Abstract | 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. |
| Keyword | Deep learning Gravitational wave Data analysis Softwave platform |
| DOI | 10.1016/j.softx.2024.101930 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001339310600001 |
| WOS Research Area | Computer Science |
| WOS Subject | Computer Science, Software Engineering |
| Funding Project | Peng Cheng Laboratory ; Peng Cheng Laboratory Cloud-Brain ; National Key Research and Development Program of China[2021YFC2203001] ; NSFC[11920101003] ; NSFC[12021003] ; Interdisciplinary Research Funds of Beijing Normal University ; CAS Project for Young Scientists in Basic Research[YSBR-006] |
| Funding Organization | Peng Cheng Laboratory ; Peng Cheng Laboratory Cloud-Brain ; National Key Research and Development Program of China ; NSFC ; Interdisciplinary Research Funds of Beijing Normal University ; CAS Project for Young Scientists in Basic Research |
| Classification | 二类 |
| Ranking | 1 |
| Contributor | Cao, Zhoujian ; Ren, Zhixiang |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/97104 |
| Collection | 微重力重点实验室 |
| Affiliation | 1.Chinese Acad Sci, Inst Mech, Ctr Gravitat Wave Expt, Natl Micrograv Lab, Beijing 100190, Peoples R China; 2.Peng Cheng Lab, Shenzhen 518055, Peoples R China; 3.Beijing Normal Univ, Sch Phys & Astron, Beijing 100875, Peoples R China; 4.Beijing Normal Univ, Inst Frontiers Astron & Astrophys, Beijing 102206, Peoples R China; 5.UCAS, Hangzhou Inst Adv Study, Sch Fundamental Phys & Math Sci, Hangzhou 310024, Peoples R China |
| Recommended Citation GB/T 7714 | Zhao TY,Zhou, Yue,Shi, Ruijun,et al. GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis[J]. SOFTWAREX,2024,28:8.Rp_Au:Cao, Zhoujian, Ren, Zhixiang |
| APA | 赵天宇,Zhou, Yue,Shi, Ruijun,Cao, Zhoujian,&Ren, Zhixiang.(2024).GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis.SOFTWAREX,28,8. |
| MLA | 赵天宇,et al."GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis".SOFTWAREX 28(2024):8. |
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