AI

Space-based gravitational wave signal detection and extraction with deep neural network

Space-based gravitational wave (GW) detectors will be able to observe signals from sources that are otherwise nearly impossible from current ground-based detection. Consequently, the well established signal detection method, matched filtering, will …

Gravitational Wave Detection and AI Technology: New Methods for Unveiling the Mysteries of the Universe

量子宇宙理论物理研究中心研讨会.

机器学习在引力波数据分析中的应用——参数估计及数据降噪

引力波数据分析系列报告.

Rapid search for massive black hole binary coalescences using deep learning

The coalescences of massive black hole binaries (MBHBs) are one of the main targets of space-based gravitational wave observatories. Such gravitational wave sources are expected to be accompanied by electromagnetic emission. Low latency time of …

AI For Science 创客松——人工智能驱动的科学研究

AI For Scientist.

Clearing the Path to Discovery: Detecting and Denoising Gravitational Waves with Deep Learning

中国物理学会引力与相对论天体物理分会“2023年学术年会”. Website: http://cqutp.org/conferences/gr23/index.php

基于人工智能技术的引力波数据分析前沿

国家天文数据中心·天文信息学与虚拟天文台 2022 年学术年会. Website: https://nadc.china-vo.org/events/cvo2022/

机器学习在引力波数据处理中的应用

东北大学引力波宇宙学与射电天文学研究中心青年学者研讨会 - 特邀报告

Machine Learning in Gravitational Wave Data Analysis

Poster: https://ictp-ap.org/event/60

First machine learning gravitational-wave search mock data challenge

We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitational-wave signals from binary black hole mergers of increasing complexity …