Analysis of the calculation method and evaluation of the magnetic acceleration noise of space inertial sensor

Sun, Zhiyin; Li, Pengxuan; Li, Ziqi; yu, Tao; Feng, Xiaoyang; Li, Liyi; Jin, Peng; Wang, Lei

doi:10.1016/j.rinp.2023.106955

Results in Physics

2023

DOI: 10.1016/j.rinp.2023.106955

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Analysis of the calculation method and evaluation of the magnetic acceleration noise of space inertial sensor

Zhiyin Sun,

Pengxuan Li,

Ziqi Li

et al.

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2024

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Cited by 2 publications

References 21 publications

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Estimate of in-band eddy current effect in space gravitational wave detection

Xu,

Zhang,

et al. 2024

Class. Quantum Grav.

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In space detection of gravitational waves (GWs), the presence of a low-frequency varying magnetic field will generate eddy currents in the test mass, resulting in a varying magnetic moment. This magnetic moment will couple with a constant magnetic field gradient, producing residual acceleration within the frequency band of GW detection, causing the test mass to deviate from the free-falling mode. However, this effect has not yet been studied clearly in the noise budget for TianQin and LISA Pathfinder since the constant DC magnetic susceptibility was applied to quantify the varying magnetic moment. This paper utilizes the parameter of alternating current (AC) magnetic susceptibility to define this process, and further analyzes and evaluates the effect. In a general magnetic field environment, the contribution of this effect to TianQin acceleration noise reaches 20\% from 0.1 mHz to 3 mHz. The contribution to LISA noise is less than 10\% from $10^{-4}$ to 0.1 Hz, and less than 10\% below $10^{-4}$ Hz. This effect does not have a potential limit on LISA low-frequency science down to 20 $\mu$Hz [Phys. Rev. Lett. 120, 061101 (2018)].

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Estimate of in-band eddy current effect in space gravitational wave detection

Xu,

Zhang,

et al. 2024

Class. Quantum Grav.

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Solar Plasma Noise in TianQin Laser Propagation: An Extreme Case and Statistical Analysis

Liu 刘,

Su 苏,

Zhang 张

et al. 2024

ApJ

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TianQin (TQ) proposes to detect gravitational-wave signals by using laser interferometry. However, the laser propagation effect introduces a potential noise factor for TQ. In this work, we used magnetohydrodynamic (MHD) simulations to obtain the space magnetic field and plasma distributions during an extremely strong solar eruption, and based on the MHD simulation result, we investigated laser propagation noise for TQ. For the extremely strong solar eruption event, we find that the laser propagation noise closely approaches 100% of TQ’s displacement noise requirement for the Michelson combination, while the laser propagation noise is still about 30% of TQ’s displacement noise requirement for time-delay interferometry (TDI)-X combination. In addition, we investigate the laser propagation noise for 12 cases with different solar wind conditions. Our finding reveals a linear correlation between the laser propagation noise and several space weather parameters, e.g., solar wind dynamic pressure, Sym-H, and Dst, where the correlation coefficients for solar wind dynamic pressure are strongest. Combining the cumulative distribution of solar wind dynamic pressure from 1999 to 2021 with the linear correlation between solar wind dynamic pressure and laser propagation noise, we have determined that the occurrence rate of the laser propagation noise to be greater than 30% of TQ’s displacement noise requirement for the Michelson combination over the entire solar activity week is about 15%. In addition, we find that TDI can suppress the laser propagation noise, and reduce the occurrence rate of the laser propagation noise exceeding 30% of TQ’s requirement to less than 1%.

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Analysis of the calculation method and evaluation of the magnetic acceleration noise of space inertial sensor

Cited by 2 publications

References 21 publications

Estimate of in-band eddy current effect in space gravitational wave detection

Estimate of in-band eddy current effect in space gravitational wave detection

Solar Plasma Noise in TianQin Laser Propagation: An Extreme Case and Statistical Analysis

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