Taiji Data Challenge for Exploring Gravitational Wave Universe
Zhixiang Ren, Tianyu Zhao, Zhoujian Cao, Zong-Kuan Guo, Wen-Biao Han,, Hong-Bo Jin, Yue-Liang Wu

TL;DR
The paper discusses the Taiji space-based gravitational wave detection mission, its scientific goals, technical challenges, and introduces the Taiji Data Challenge to advance data analysis methods for gravitational wave astronomy.
Contribution
It presents the first data challenge for Taiji, incorporating realistic simulations, advanced waveform models, and parameter estimation to facilitate scientific discoveries.
Findings
Demonstrated the effectiveness of the data analysis pipeline.
Validated the potential of Taiji for gravitational wave detection.
Provided a framework for future data analysis and scientific exploration.
Abstract
The direct observation of gravitational waves (GWs) opens a new window for exploring new physics from quanta to cosmos and provides a new tool for probing the evolution of universe. GWs detection in space covers a broad spectrum ranging over more than four orders of magnitude and enables us to study rich physical and astronomical phenomena. Taiji is a proposed space-based GW detection mission that will be launched in the 2030s. Taiji will be exposed to numerous overlapping and persistent GW signals buried in the foreground and background, posing various data analysis challenges. In order to empower potential scientific discoveries, the Mock LISA Data Challenge and the LISA Data Challenge (LDC) were developed. While LDC provides a baseline framework, the first LDC needs to be updated with more realistic simulations and adjusted detector responses for Taiji's constellation. In this paper,…
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Taxonomy
TopicsSeismology and Earthquake Studies · Geophysics and Gravity Measurements · Earthquake Detection and Analysis
