Postprocessing of tilt-to-length noise with coefficient drifts in TianQin using a null time-delay interferometry channel

Tilt-to-length (TTL) coupling is expected to be one of the major noise sources in the interferometric phase readouts in the TianQin mission. Arising from the angular motion of spacecraft (SC) and the onboard movable optical subassemblies (MOSAs), TTL noise needs to be removed in postprocessing after suppressing the laser phase noise with the time-delay interferometry (TDI) technique. In this article, we show that we can estimate the TTL coupling coefficients using the null TDI channel $\ensuremath{\zeta}$ and remove the TTL noise in the commonly used Michelson variables with the estimated coefficients. We introduce the theoretical model of TTL noise in TDI and consider linear drifts in the linear TTL coefficients for noise estimation and subtraction. The TTL coefficients with drifts are estimated successfully with an accuracy of $10\text{ }\text{ }\mathrm{\ensuremath{\mu}}\mathrm{m}/\mathrm{rad}$ in our numerical simulation. We discuss the impact of point-ahead angle compensation error and wavefront error, and find it necessary to estimate linear drift coefficients and quadratic TTL coefficients to keep TTL noise residuals below the 0.3 pm noise reference curve. However, the estimation accuracy suffers greatly from the correlation between yaw jitter measurements that contain the same SC jitter. Assuming all angular jitters induced by MOSAs are independent, choosing a frequency range with relatively higher MOSA yaw jitter noise levels is beneficial to the TTL coefficient estimation.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2025-02-06
DOI
https://doi.org/10.1103/physrevd.111.042004
Citations
3
Primary Topic
Geophysics and Sensor Technology
Type
article
Field-Weighted Citation Impact
3.44

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article

Postprocessing of tilt-to-length noise with coefficient drifts in TianQin using a null time-delay interferometry channel

Hsien‐Chi Yeh, Hui‐Zong Duan, Zhizhao Wang, Yurong Liang et al.
3 citations
Physical review. D/Physical review. D.
Geophysics and Sensor Technology
3.44
article

Postprocessing of tilt-to-length noise with coefficient drifts in TianQin using a null time-delay interferometry channel

Hsien‐Chi Yeh, Hui‐Zong Duan, Zhizhao Wang, Yurong Liang, Xuefeng Zhang, Kaihang Wu, Shuju Yang, Xiaojie Wang
article en
3 citations

Abstract

Tilt-to-length (TTL) coupling is expected to be one of the major noise sources in the interferometric phase readouts in the TianQin mission. Arising from the angular motion of spacecraft (SC) and the onboard movable optical subassemblies (MOSAs), TTL noise needs to be removed in postprocessing after suppressing the laser phase noise with the time-delay interferometry (TDI) technique. In this article, we show that we can estimate the TTL coupling coefficients using the null TDI channel $\ensuremath{\zeta}$ and remove the TTL noise in the commonly used Michelson variables with the estimated coefficients. We introduce the theoretical model of TTL noise in TDI and consider linear drifts in the linear TTL coefficients for noise estimation and subtraction. The TTL coefficients with drifts are estimated successfully with an accuracy of $10\text{ }\text{ }\mathrm{\ensuremath{\mu}}\mathrm{m}/\mathrm{rad}$ in our numerical simulation. We discuss the impact of point-ahead angle compensation error and wavefront error, and find it necessary to estimate linear drift coefficients and quadratic TTL coefficients to keep TTL noise residuals below the 0.3 pm noise reference curve. However, the estimation accuracy suffers greatly from the correlation between yaw jitter measurements that contain the same SC jitter. Assuming all angular jitters induced by MOSAs are independent, choosing a frequency range with relatively higher MOSA yaw jitter noise levels is beneficial to the TTL coefficient estimation.

Physical review. D/Physical review. D.Vol. 111(4)
Sun Yat-sen University (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Sun Yat-sen University, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Climate action, Affordable and clean energy
Openalex Percentile: Top 10%
Geophysics and Sensor Technology
3.44
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