# Towards Realistic Detection Pipelines of Taiji: New Challenges in Data Analysis and High-Fidelity Simulations of Space-Borne Gravitational Wave Antenna

**Authors:** Minghui Du, Pengcheng Wang, Ziren Luo, Wen-Biao Han, Xin Zhang, Xian Chen, Zhoujian Cao, Xilong Fan, He Wang, Xiaodong Peng, Li-E Qiang, Ke An, Yidi Fan, Jiafeng Zhang, Liang-Gui Zhu, Ping Shen, Qianyun Yun, Xiao-Bo Zou, Ye Jiang, Tianyu Zhao  
**arXiv:** [2505.16500](https://arxiv.org/abs/2505.16500)  
**Date:** 2025-05-22  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2505.16500v2/

## Key points

- Taiji is a Chinese space-based gravitational wave detection project exploring the millihertz gravitational wave universe with unparalleled sensitivity.
- Targets include astrophysical and cosmological sources such as Galactic binaries, massive black hole binaries, extreme mass-ratio inspirals, and stochastic gravitational wave backgrounds.
- Data analysis for Taiji faces unique challenges different from ground-based detectors like LIGO-Virgo-KAGRA.
- The second round of the Taiji Data Challenge addresses critical data analysis issues through simulation datasets for resolving complex problems encountered in analyzing Taiji's data.
- The platform integrates orbital dynamics based on full drag-free and attitude control simulations, extended noise sources, overlapping gravitational wave signals, second-generation time-delay interferometry techniques, and the coupling effect of time-varying armlengths.
- An open-source toolkit called Triangle has been released in conjunction with the Taiji Data Challenge II to customize simulations of signals, noises, and other instrumental effects.

## Summary

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Taiji, a Chinese space-based gravitational wave detection project, is at the forefront of exploring the millihertz gravitational wave universe with unparalleled sensitivity. By targeting astrophysical and cosmological sources such as Galactic binaries, massive black hole binaries, extreme mass-ratio inspirals, and stochastic gravitational wave backgrounds, Taiji aims to provide groundbreaking insights into astrophysics, cosmology, and fundamental physics. However, the data analysis for Taiji faces unique challenges that set it apart from ground-based detectors like LIGO-Virgo-KAGRA. The second round of the Taiji Data Challenge has been introduced to address these critical data analysis issues. This collection of simulation datasets serves as a shared platform for resolving complex problems encountered in analyzing Taiji's data. What sets this platform apart is its systematic integration of orbital dynamics based on full drag-free and attitude control simulations, extended noise sources, sophisticated overlapping gravitational wave signals, second-generation time-delay interferometry techniques, and the coupling effect of time-varying armlengths. In conjunction with the Taiji Data Challenge II, an open-source toolkit called Triangle has been released (available at https://github.com/TriangleDataCenter). This toolkit offers capabilities for customizing simulations of signals, noises, and other instrumental effects. By taking steps towards realistic detection pipelines through these initiatives, Taiji aims to bridge the gaps between observation and scientific objectives. The authors involved in this endeavor include Minghui Du,
Pengcheng Wang,
Ziren Luo,
Wen-Biao Han,
Xin Zhang,
Xian Chen,
Zhoujian Cao,
Xilong Fan,
He Wang,
Xiaodong Peng,
Li-E Qiang,
Ke An,
Yidi Fan,
Jiafeng Zhang,
Liang-Gui Zhu,
Ping Shen,
Qianyun Yun
and others who have contributed significantly to advancing the field of space-borne gravitational wave detection through high-fidelity simulations and innovative data analysis techniques.