Gravitational Wave Detection Spacecraft Noise Decomposition and Electromagnetic Force Noise Simulation

FANG Ziruo1,2, SHI Xingjian1,2, CHEN Kun1,2, CHEN Wen1,2, CAI Zhiming1

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Journal of Deep Space Exploration ›› 2023, Vol. 10 ›› Issue (3) : 334-342. DOI: 10.15982/j.issn.2096-9287.2023.20230013
Special Issue:Space Gravitational Wave Detection

Gravitational Wave Detection Spacecraft Noise Decomposition and Electromagnetic Force Noise Simulation

  • FANG Ziruo1,2, SHI Xingjian1,2, CHEN Kun1,2, CHEN Wen1,2, CAI Zhiming1
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Abstract

To address the sensitivity challenges inherent in gravitational wave detection instruments, this study unequivocally established the paramount indicators for both interferometer measurement noise and the proof mass residual acceleration noise within “Taiji Project” spacecraft. System noise was meticulously decomposed, revealing 26 distinct categories of interferometer measurement noise and 21 categories of residual acceleration noise. A comprehensive modelling approach was undertaken with specific focus on electromagnetic force noise. Through the design of a dedicated simulation system and subsequent calculations, the engineering viability of the spacecraft design proposal was verified. The simulation indicated that total electromagnetic force noise, calculated using parameters attainable with present-day engineering technology or parameters projected from the key technological roadmap, could satisfactorily meet the demanding requirements of gravitational wave detection missions. The findings of this research not only offer a robust framework for simulation and calculation of future noise variables, but also lay the groundwork for refining the indicator system of spacecraft design.

Keywords

gravitational wave detection / electromagnetic force / noise model / specification system / Taiji project

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FANG Ziruo, SHI Xingjian, CHEN Kun, CHEN Wen, CAI Zhiming. Gravitational Wave Detection Spacecraft Noise Decomposition and Electromagnetic Force Noise Simulation. Journal of Deep Space Exploration, 2023, 10(3): 334‒342 https://doi.org/10.15982/j.issn.2096-9287.2023.20230013

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