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Low drift nuclear spin gyroscope with probe light intensity error suppression |
| Wenfeng Fan(范文峰)1, Wei Quan(全伟)1,2,3, Feng Liu(刘峰)1, Lihong Duan(段利红)1, Gang Liu(刘刚)1,2,3 |
1 School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China;
2 Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China;
3 Beijing Academy of Quantum Information Sciences, Beijing 100193, China |
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Abstract A nuclear spin gyroscope based on an alkali-metal-noble-gas co-magnetometer operated in spin-exchange relaxation-free (SERF) regime is a promising atomic rotation sensor for its ultra-high fundamental sensitivity. However, the fluctuation of probe light intensity is one of the main technical error sources that limits the bias stability of the gyroscope. Here we propose a novel method to suppress the bias error induced by probe light intensity fluctuations. This method is based on the inherent magnetic field response characteristics of the gyroscope. By the application of a bias magnetic field, the gyroscope can be tuned to a working point where the output signal is insensitive to probe light intensity variation, referred to herein as ‘zero point’, thus the bias error induced by intensity fluctuations can be completely suppressed. The superiority of the method was verified on a K-Rb-21Ne co-magnetometer, and a bias stability of approximately 0.01°/h was obtained. In addition, the method proposed here can remove the requirement of the closed-loop control of probe light intensity, thereby facilitating miniaturization of the gyroscope volume and improvement of reliability.
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Received: 04 August 2019
Revised: 30 October 2019
Accepted manuscript online:
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PACS:
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07.07.Df
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(Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing)
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07.55.Ge
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(Magnetometers for magnetic field measurements)
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42.79.-e
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(Optical elements, devices, and systems)
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| Fund: Project supported by the National Key Research and Development Program of China (Grant Nos. 2016YFB0501600 and 2017YFB0503100) and the National Natural Science Foundation of China (Grant Nos. 61773043, 61673041, and 61721091). |
Corresponding Authors:
Wenfeng Fan
E-mail: fanwenfeng@buaa.edu.cn
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Cite this article:
Wenfeng Fan(范文峰), Wei Quan(全伟), Feng Liu(刘峰), Lihong Duan(段利红), Gang Liu(刘刚) Low drift nuclear spin gyroscope with probe light intensity error suppression 2019 Chin. Phys. B 28 110701
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| [1] |
Barbour N and Schmidt G 1998 Proceedings of the 1998 Workshop on Autonomous Underwater Vehicles (Cat. No. 98CH36290), August 21-21, 1998, Cambridge, MA, USA, p. 55
|
| [2] |
Stedman G E 1997 Rep. Prog. Phys. 60615
|
| [3] |
Greenspan R L 1995 Navigation 42165
|
| [4] |
Lefevre H C 2013 Opt. Fiber. Technol. 19828
|
| [5] |
Degen C L, Reinhard F and Cappellaro P 2017 Rev. Mod. Phys. 89 035002
|
| [6] |
Dickerson S M, Hogan J M, Sugarbaker A, Johnson D M and Kasevich M A 2013 Phys. Rev. Lett. 111083001
|
| [7] |
Meng Z X, Li Y H and Feng Y Y 2018 Chin. Phys. B 27094201
|
| [8] |
Meyer D and Larsen M 2014 Gyroscopy and Navigation 575
|
| [9] |
Zhang D W, Xu Z Y, Zhou M and Xu X Y 2017 Chin. Phys. B 26 023201
|
| [10] |
Zhang C, Yuan H, Tang Z, Quan W and Fang J C 2016 Appl. Phys. Rev. 3041305
|
| [11] |
Allred J C, Lyman R N, Kornack T W and Romalis M V 2002 Phys. Rev. Lett. 89130801
|
| [12] |
Kornack T W, Ghosh R K and Romalis M V 2005 Phys. Rev. Lett. 95 230801
|
| [13] |
Jiang L W, Quan W, Li R J, Fan W F, Liu F, Qin J, Wan S A and Fang J C 2018 Appl. Phys. Lett. 112054103
|
| [14] |
Li R J, Quan W, Fan W F, Xing L and Fang J C 2017 Sensors Actuat. A:Phys. 266130
|
| [15] |
Fan W F, Quan W, Zhang W J, Xing L and Liu G 2019 IEEE Access 7 28574
|
| [16] |
Fan W F, Quan W, Liu F, Xing L and Liu G 2019 IEEE Sens. J. 199712
|
| [17] |
Li R J, Fan W F, Jiang L W, Duan L H, Quan W and Fang J C 2016 Phys. Rev. A 94032109
|
| [18] |
Duan L H, Fang J C, Li R J, Jiang L W, Ding M and Wang W 2015 Opt. Express 2332481
|
| [19] |
Tricot F, Phung D H, Lours M, Guerandel S and de Clercq E 2018 Rev. Sci. Instrum. 89113112
|
| [20] |
Ito S, Ito Y and Kobayashi T 2019 Opt. Express 278037
|
| [21] |
Fang J C, Wan S A, Qin J, Zhang C, Quan W, Yuan H, Dong H F and Fang J C 2013 Rev. Sci. Instrum. 84083108
|
| [22] |
Cai Q Z, Yang G L, Quan W, Song N F, Tu Y Q and Liu Y L 2018 Sensors (Basel) 18670
|
| [23] |
Brown J M, Smullin S J, Kornack T W and Romalis M V 2010 Phys. Rev. Lett. 105151604
|
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