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Dynamic range and linearity improvement for zero-field single-beam atomic magnetometer |
| Kai-Feng Yin(尹凯峰)1, Ji-Xi Lu(陆吉玺)2,3,†, Fei Lu(逯斐)1,2, Bo Li(李博)3, Bin-Quan Zhou(周斌权)2, and Mao Ye(叶茂)2,3,‡ |
1 School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China;
2 Research Institute for Frontier Science, Beihang University, Beijing 100191, China;
3 Beihang Hangzhou Innovation Institute Yuhang, Xixi Octagon City, Hangzhou 310023, China |
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Abstract Zero-field single-beam atomic magnetometers with transverse parametric modulation for ultra-weak magnetic field detection have attracted widespread attention recently. In this study, we present a comprehensive response model and propose a modification method of conventional first harmonic response by introducing the second harmonic correction. The proposed modification method gives improvement in dynamic range and reduction of linearity error. Additionally, our modification method shows suppression of response instability caused by optical intensity and frequency fluctuations. An atomic magnetometer with single-beam configuration is built to compare the performance between our proposed method and the conventional method. The results indicate that our method's magnetic field response signal achieves a 5-fold expansion of dynamic range from 2 nT to 10 nT, with the linearity error decreased from 5% to 1%. Under the fluctuations of 5% for optical intensity and ±15 GHz detuning of frequency, the proposed modification method maintains intensity-related instability less than 1% and frequency-related instability less than 8% while the conventional method suffers 15% and 38%, respectively. Our method is promising for future high-sensitive and long-term stable optically pumped atomic sensors.
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Received: 26 December 2021
Revised: 22 March 2022
Accepted manuscript online: 23 March 2022
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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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06.20.fb
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(Standards and calibration)
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32.30.Dx
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(Magnetic resonance spectra)
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| Fund: Project supported by the National Key R&D Program of China (Grant No. 2018YFB2002405) and the National Natural Science Foundation of China (Grant No. 61903013). |
Corresponding Authors:
Ji-Xi Lu, Mao Ye
E-mail: lujixi@buaa.edu.cn;maoye@buaa.edu.cn
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Cite this article:
Kai-Feng Yin(尹凯峰), Ji-Xi Lu(陆吉玺), Fei Lu(逯斐), Bo Li(李博), Bin-Quan Zhou(周斌权), and Mao Ye(叶茂) Dynamic range and linearity improvement for zero-field single-beam atomic magnetometer 2022 Chin. Phys. B 31 110703
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[1] Kominis I K, Kornack T W, Allred J C and Romalis M V 2003 Nature 422 596
[2] Dang H B, Maloof A C and Romalis M V 2010 Appl. Phys. Lett. 97 151110
[3] Brookes M J, Boto E, Rea M, Shah V, Osborne J, Holmes N, Hill R M, Leggett J, Rhodes N and Bowtell R 2021 NeuroImage 236 118025
[4] Abel C, Afach S, Ayres N J, et al. 2020 Phys. Rev. Lett. 124 081803
[5] Romalis M V and Dang H B 2011 Mater. Today 14 258
[6] Du P C, Li J J, Yang S J, Wang X T, Zhuo Y, Wang F and Wang R Q 2019 Chin. Phys. B 28 040702
[7] Knappe S, Sander T H, Kosch O, Wiekhorst F, Kitching J and Trahms L 2010 Appl. Phys. Lett. 97 133703
[8] Boto E, Holmes N, Leggett J, Roberts G, Shah V, Meyer S S, Mu noz L D, Mullinger K J, Tierney T M, Bestmann S, Barnes G R, Bowtell R and Brookes M J 2018 Nature 555 657
[9] Fu J Q, Du P C, Zhou Q and Wang R Q 2016 Chin. Phys. B 25 010302
[10] Qiu X Y, Xu Z Y, Peng X X, Li L H, Zhou Y M, Wei M M, Zhou M and Xu X Y 2020 Appl. Phys. Lett. 116 034001
[11] Zhang J H, Liu Q, Zeng X J, Li J X and S W M 2012 Chin. Phys. Lett. 29 068501
[12] Karaulanov T, Savukov I and Kim Y J 2016 Meas. Sci. Technol. 27 055002
[13] Shah V and Romalis M V 2009 Phys. Rev. A 80 013416
[14] Zheng W Q, Su S R, Zhang G Y, Bi X and Lin Q 2020 Biomed. Opt. Express 11 649
[15] Savukov I, Kim Y J, Shah V and Boshier M G 2017 Meas. Sci. Technol. 28 035104
[16] Liu G, Tang J J, Yin Y, Wang Y X, Zhou B Q and Han B C 2020 IEEE Sens. J. 20 5827
[17] Fang X J, Wei K, Zhao T, Zhai Y Y, Ma D Y, Xing B Z, Liu Y and Xiao Z S 2020 Opt. Express 28 26447
[18] Colombo A P, Carter T R, Borna A, Jau Y Y, Johnson C N, Dagel A L and Schwindt P D D 2016 Opt. Express 24 15403
[19] Sulai I A, DeLand Z J, Bulatowicz M D, Wahl C P, Wakai R T and Walker T G 2019 Rev. Sci. Instrum. 90 085003
[20] Sheng D, Perry A R, Krzyzewski S P, Geller S, Kitching J and Knappe S 2017 Appl. Phys. Lett. 110 031106
[21] Sander T H, Preusser J, Mhaskar R, Kitching J, Trahms L and Knappe S 2012 Biomed. Opt. Express 3 981
[22] Iivanainen J, Zetter R, Gr?n M, Hakkarainen K and Parkkonen L 2019 NeuroImage 194 244
[23] Wang J, Fan W F, Yin K F, Yan Y G, Zhou B Q and Song X D 2020 Phys. Rev. A 101 053427
[24] Li Z M, Wakai R T and Walker T G 2006 Appl. Phys. Lett. 89 134105
[25] Boto E, Meyer S S, Shah V, Alem O, Knappe S, Kruger P, Fromhold T M, Lim M, Glover P M, Morris P G, Bowtell R, Barnes G R and Brookes M J 2017 NeuroImage 149 404
[26] Rea M, Holmes N, Hill R M, Boto E, Leggett J, Edwards L J, Woolger D, Dawson E, Shah V, Osborne J, Bowtell R and Brookes M J 2021 NeuroImage 241 118401
[27] Nardelli N V, Perry A R, Krzyzewski S P and Knappe S 2020 EPJ Quantum Technol. 7 11
[28] Breschi E and Weis A 2012 Phys. Rev. A 86 053427
[29] Castagna N and Weis A 2011 Phys. Rev. A 84 053421
[30] Seltzer, S J 2008 Developments in Alkali-Metal Atomic Magnetometry, Ph. D. Dissertation (New Jersey: Princeton University)
[31] Alcock C B, Itkin V P and Horrigan M K 1984 Can. Metall. Q. 23 309
[32] Shah V and Romalis M V 2009 Phys. Rev. A 80 013416
[33] Savukov I M and Romalis M V 2005 Phys. Rev. A 71 023405
[34] Regtien P and Dertien E 2018 Sensors for Mechatronics, 2nd edn. (Amsterdam: Elsevier) pp.40-41
[35] Ma D Y, Lu J X, Fang X J, Yang K, Wang K, Zhang N, Han B C and Ding M 2022 IEEE Trans. Ind. Electron. 69 991 |
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