GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis
文献类型：期刊论文
| 作者 | Zhao TY(赵天宇)2,3,4,5; Zhou, Yue4; Shi, Ruijun2,3; Cao, Zhoujian1,2,3; Ren, Zhixiang4 |
| 刊名 | SOFTWAREX
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 28页码:8 |
| 关键词 | Deep learning Gravitational wave Data analysis Softwave platform |
| ISSN号 | 2352-7110 |
| DOI | 10.1016/j.softx.2024.101930 |
| 通讯作者 | Cao, Zhoujian(zjcao@bnu.edu.cn) ; Ren, Zhixiang(renzhx@pcl.ac.cn) |
| 英文摘要 | 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. |
| 分类号 | 二类 |
| 资助项目 | 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] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001339310600001 |
| 资助机构 | 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 |
| 其他责任者 | Cao, Zhoujian ; Ren, Zhixiang |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/97103]  |
| 专题 | 力学研究所_国家微重力实验室 |
| 作者单位 | 1.UCAS, Hangzhou Inst Adv Study, Sch Fundamental Phys & Math Sci, Hangzhou 310024, Peoples R China 2.Beijing Normal Univ, Inst Frontiers Astron & Astrophys, Beijing 102206, Peoples R China; 3.Beijing Normal Univ, Sch Phys & Astron, Beijing 100875, Peoples R China; 4.Peng Cheng Lab, Shenzhen 518055, Peoples R China; 5.Chinese Acad Sci, Inst Mech, Ctr Gravitat Wave Expt, Natl Micrograv Lab, Beijing 100190, Peoples R China; |
| 推荐引用方式 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. |
| 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. |
入库方式： OAI收割
来源：力学研究所
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