GWAI: Harnessing Artificial Intelligence for Enhancing 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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Bibliographic Details
Published in:arXiv.org 2024-02
Main Authors: Zhao, Tianyu, Zhou, Yue, Shi, Ruijun, Cao, Zhoujian, Ren, Zhixiang
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Astronomy
Data analysis
Gravitational waves
Modularity
Online Access:Get full text
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Summary: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. To address this gap, we introduce GWAI, a pioneering AI-centered software platform designed for gravitational wave 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.
ISSN:2331-8422