Analysis of the Dick Effect for AI-based Dynamic Gravimeter

Fuente: arXiv
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Auteurs principaux: Wang, Wen-Zhang, Chen, Xi, Li, Jin-Ting, Zhang, Dan-Fang, Xu, Wei-Hao, Wei, Jia-Yi, Zhong, Jia-Qi, Tang, Biao, Zhou, Lin, Wang, Jin, Zhan, Ming-Sheng
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Publié: 2025
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author Wang, Wen-Zhang
Chen, Xi
Li, Jin-Ting
Zhang, Dan-Fang
Xu, Wei-Hao
Wei, Jia-Yi
Zhong, Jia-Qi
Tang, Biao
Zhou, Lin
Wang, Jin
Zhan, Ming-Sheng
author_facet Wang, Wen-Zhang
Chen, Xi
Li, Jin-Ting
Zhang, Dan-Fang
Xu, Wei-Hao
Wei, Jia-Yi
Zhong, Jia-Qi
Tang, Biao
Zhou, Lin
Wang, Jin
Zhan, Ming-Sheng
contents Atom interferometer (AI)-based dynamic gravimeter enable high-precision absolute gravity measurements, crucial for applications in geophysics, navigation, resource exploration, and metrology. Understanding their underlying mechanisms and minimizing measurement noise are essential for enhancing performance. This work investigates the gravity measurement noise in AI-based systems induced by the dead time of the classical accelerometer. Using actual dynamic gravity measurement data, we demonstrate that a dead time of 0.12 s introduces significant gravity measurement noise of 8 mGal. To elucidate the mechanism of this noise, we derive a formula for this noise in frequency domain, identifying high-frequency aliasing as its source. Analysis of the derived expressions indicates that reducing the dead time duration and suppressing the high-frequency noise of the acceleration are effective strategies for mitigating this noise. This work provides significant insights for noise analysis and future scheme design of AI-based dynamic gravimeters.
format Preprint
id arxiv_https___arxiv_org_abs_2508_17765
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Analysis of the Dick Effect for AI-based Dynamic Gravimeter
Wang, Wen-Zhang
Chen, Xi
Li, Jin-Ting
Zhang, Dan-Fang
Xu, Wei-Hao
Wei, Jia-Yi
Zhong, Jia-Qi
Tang, Biao
Zhou, Lin
Wang, Jin
Zhan, Ming-Sheng
Atomic Physics
Applied Physics
Atom interferometer (AI)-based dynamic gravimeter enable high-precision absolute gravity measurements, crucial for applications in geophysics, navigation, resource exploration, and metrology. Understanding their underlying mechanisms and minimizing measurement noise are essential for enhancing performance. This work investigates the gravity measurement noise in AI-based systems induced by the dead time of the classical accelerometer. Using actual dynamic gravity measurement data, we demonstrate that a dead time of 0.12 s introduces significant gravity measurement noise of 8 mGal. To elucidate the mechanism of this noise, we derive a formula for this noise in frequency domain, identifying high-frequency aliasing as its source. Analysis of the derived expressions indicates that reducing the dead time duration and suppressing the high-frequency noise of the acceleration are effective strategies for mitigating this noise. This work provides significant insights for noise analysis and future scheme design of AI-based dynamic gravimeters.
title Analysis of the Dick Effect for AI-based Dynamic Gravimeter
topic Atomic Physics
Applied Physics
url https://arxiv.org/abs/2508.17765