GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | SoftwareX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711024003005 |
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| _version_ | 1846150145108869120 |
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| author | Tianyu Zhao Yue Zhou Ruijun Shi Zhoujian Cao Zhixiang Ren |
| author_facet | Tianyu Zhao Yue Zhou Ruijun Shi Zhoujian Cao Zhixiang Ren |
| author_sort | Tianyu Zhao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-070ac6a9288e47b982369aeb912f7bd8 |
| institution | Kabale University |
| issn | 2352-7110 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-070ac6a9288e47b982369aeb912f7bd82024-11-29T06:24:08ZengElsevierSoftwareX2352-71102024-12-0128101930GWAI: Artificial intelligence platform for enhanced gravitational wave data analysisTianyu Zhao0Yue Zhou1Ruijun Shi2Zhoujian Cao3Zhixiang Ren4Center 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, ChinaPeng Cheng Laboratory, Shenzhen, 518055, ChinaSchool of Physics and Astronomy, Beijing Normal University, Beijing, 100875, China; Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University, Beijing, 102206, ChinaSchool 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.Peng Cheng Laboratory, Shenzhen, 518055, 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.http://www.sciencedirect.com/science/article/pii/S2352711024003005Deep learningGravitational waveData analysisSoftwave platform |
| spellingShingle | Tianyu Zhao Yue Zhou Ruijun Shi Zhoujian Cao Zhixiang Ren GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis SoftwareX Deep learning Gravitational wave Data analysis Softwave platform |
| title | GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis |
| title_full | GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis |
| title_fullStr | GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis |
| title_full_unstemmed | GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis |
| title_short | GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis |
| title_sort | gwai artificial intelligence platform for enhanced gravitational wave data analysis |
| topic | Deep learning Gravitational wave Data analysis Softwave platform |
| url | http://www.sciencedirect.com/science/article/pii/S2352711024003005 |
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