Gravitational Waves

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 …

空间引力波科学数据处理的挑战与人工智能技术应用

2023年第五届全球京师青年学者论坛 · 天文学科分论坛

引力波数据探索:编程与分析实战训练营

Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis

Probing the gravitational wave background from cosmic strings with Alternative LISA-TAIJI network

As one of the detection targets of all gravitational wave detectors at present, stochastic gravitational wave background (SGWB) provides us an important way to understand the evolution of our universe. In this paper, we explore the feasibility of …