Gravitational Waves

Gravitational Wave Signal Denoising and Merger Time Prediction By Deep Neural Network

The mergers of massive black hole binaries could generate rich electromagnetic emissions, which allow us to probe the environments surrounding these massive black holes and gain deeper insights into the high energy astrophysics. However, due to the …

Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning

Extreme-mass-ratio inspiral (EMRI) signals pose significant challenges in gravitational wave (GW) astronomy owing to their low-frequency nature and highly complex waveforms, which occupy a high-dimensional parameter space with numerous variables. …

Enhancing Gravitational Wave Astronomy with Artificial Intelligence

2024年粒子天体物理重点实验室系列学术报告 | 高能所

Enhancing Gravitational Wave Astronomy with Artificial Intelligence

NZ Gravity seminar | University of Auckland

Frontiers of AI in Gravitational Wave Astronomy

学术讲座 | 甘肃 · 兰州大学

WaveFormer: Transformer-based Denoising Method for Gravitational-wave Data

GWAC 2024 | 湖北 · 荆州

Challenges in space-based gravitational wave data analysis and applications of artificial intelligence

As space-based gravitational wave detection projects such as LISA, Taiji, and Tianqin continue to advance, we are on the cusp of gaining a new viewpoint on observing the universe.However, the scientific data processing for these projects faces …

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