AI

引力波探测与人工智能:现状与未来

学术讲座 | 北京农学院

人工智能与引力波天文学:挑战、机遇与人才培养

Exploring the Frontiers of Parameter Estimation with AI in Gravitational Wave Research

2024 年重庆引力与天体物理学术研讨会 | 重庆 · 重庆邮电大学

Frontiers of AI in Gravitational Wave Astronomy: From Data Processing to Scientific Discovery

访问讲座 | 辽宁 · 沈阳 · 东北大学

WaveFormer: transformer-based denoising method for gravitational-wave data

中国物理学会引力与相对论天体物理分会"2024年学术年会"暨第六届伽利略-徐光启国际会议 | 湖南 · 衡阳

Frontiers of AI in Gravitational Wave Astronomy: From Data Processing to Scientific Discovery

2024年第二届天文大数据与人工智能研讨会 | 北京 · 雁栖湖

Frontiers of AI in Gravitational Wave Astronomy

2024年第一届音频波段引力波天文学研讨会坛 | 广东 · 珠海

WaveFormer: transformer-based denoising method for gravitational-wave data

With the advent of gravitational-wave astronomy and the discovery of more compact binary coalescences, data quality improvement techniques are desired to handle the complex and overwhelming noise in gravitational wave (GW) observational data. Though …

Gravitational wave signal extraction against non-stationary instrumental noises with deep neural network

Sapce-borne gravitational wave antennas, such as LISA and LISA-like mission (Taiji and Tianqin), will offer novel perspectives for exploring our Universe while introduce new challenges, especially in data analysis. Aside from the known challenges …

Advancing Space-Based Gravitational Wave Astronomy: Rapid Detection and Parameter Estimation Using Normalizing Flows

Gravitational wave (GW) astronomy is witnessing a transformative shift from terrestrial to space-based detection, with missions like Taiji at the forefront. While the transition brings unprecedented opportunities for exploring massive black hole …