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In-situ measurement of cell temperature by spin-relaxation rate analysis for an atomic magnetometer |
| Bing-Quan Zhao(赵丙权)1,2, Zhe Qi(祁喆)2,†, Jian-Long Wang(王建龙)2, Li-Hua Wu(武丽花)2, Qian-Yun Zhao(赵倩云)2, Jun-Xin Wei(韦俊新)2, Wei-Ren Liu(刘为任)2, and Ling-Xin Kong(孔令鑫)3,‡ |
1 College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150006, China; 2 Tianjin Key Laboratory of Quantum Precision Measurement Technology, Tianjin Navigation and Instrument Institute, Tianjin 300131, China; 3 Optical Fiber-Based Intelligent Sensing and Micromachines Laboratory, Yantai University, Yantai 264005, China |
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Abstract Alkali-metal vapor cells are the core sensing components of atomic magnetometers. To achieve high-sensitivity magnetic field measurements, the cells require heating and stabilization at high temperatures. Here, we propose an in-situ temperature measurement method for a vapor cell of an atomic magnetometer based on spin-relaxation analysis. This technique establishes a direct functional correlation between the cell temperature and the spin-relaxation rate under low pumping power conditions. Experimental validation within the temperature range of 90 $^\circ$C-130 $^\circ$C confirms the accuracy of this approach. We further investigate the effects of magnetic fields on measurement precision and demonstrate the long-term, high-precision capabilities of temperature detection. This non-invasive technique presents a critical advantage for precise thermal optimization of atomic magnetometers.
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Received: 18 June 2025
Revised: 15 August 2025
Accepted manuscript online: 17 September 2025
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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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33.35.+r
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(Electron resonance and relaxation)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant No. 62105278), the Natural Science Foundation of Shandong Province, China (Grant No. ZR2021QF139), and Qingchuang Technology Support Program of University in Shandong Province, China (Grant No. 2024KJG040). |
Corresponding Authors:
Zhe Qi, Ling-Xin Kong
E-mail: 1120170088@mail.nankai.edu.cn;1120170096@mail.nankai.edu.cn
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Cite this article:
Bing-Quan Zhao(赵丙权), Zhe Qi(祁喆), Jian-Long Wang(王建龙), Li-Hua Wu(武丽花), Qian-Yun Zhao(赵倩云), Jun-Xin Wei(韦俊新), Wei-Ren Liu(刘为任), and Ling-Xin Kong(孔令鑫) In-situ measurement of cell temperature by spin-relaxation rate analysis for an atomic magnetometer 2026 Chin. Phys. B 35 060703
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[1] Jia L, Li J L, Song X D, Qi S J, Long T Y, Wu Z D, Wang R N and Ning X L 2025 IEEE Trans. Instrum. Meas. 74 1 [2] Roth B J 2023 Sensors 23 4218 [3] Kim Y J, Chu P H and Savukov I 2018 Phys. Rev. Lett. 121 091802 [4] Yang Y F, Xu M Z, Liang A M, Yin Y, Ma X, Gao Y and Ning X L 2021 Sci. Rep. 11 5564 [5] Adagunodo T, Sunmonu L and Adeniji A 2020 Nat. Resour. Res. 29 521 [6] Perikleous D, Margariti K, Velanas P, Blazquez C S, Garcia P C and Gonzalez-Aguilera D 2024 Drones 9 24 [7] Okada K 2022 Miner. Econ. 35 429 [8] Sreevidya P, Khan J, Barshilia H C, Ananda C and Chowdhury P 2018 J. Magn. Magn. Mater. 448 298 [9] Nam J, LeeW, Jung E and Jang G 2017 IEEE T. Ind. Electron. 65 5673 [10] Afach S, Buchler B C, Budker D, Dailey C, Derevianko A, Dumont V, Figueroa N L, Gerhardt I, Grujić Z D and Guo H 2021 Nat. Phys. 17 1396 [11] Bloch I M and Kalia S 2024 J. High Energy Phys. 2024 178 [12] Alonso R, Blas D and Wolf P 2019 J. High Energy Phys. 2019 69 [13] Xiao W, Liu M, Wu T, Peng X and Guo H 2023 Phys. Rev. Lett. 130 143201 [14] Meng X, Zhang Y W, Zhang X C, Jin S C, Wang T R, Jiang L, Xiao L T, Jia S T and Xiao Y H 2023 Nat. Commun. 14 6105 [15] LiWH, Peng X, Budker D,Wickenbrock A, Pang B, Zhang R and Guo H 2017 Opt. Lett. 42 4163 [16] Guo Q Q, Hu T, Feng X Y, Zhang M K, Chen C Q, Zhang X, Yao Z K, Xu J Y, Wang Q, Fu F Y, Zhang Y, Chang Y and Yang X D 2023 Chin. Phys. B 32 040702 [17] Zhou Y R, Sun Y Z,Wang X X, Qin J N, Zhang X andWang Y Z 2024 Chin. Phys. B 33 020701 [18] 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 [19] Liu C, Dong H F and Sang J J 2021 Appl. Phys. Lett. 119 114002 [20] Li J D, Quan W, Zhou B Q, Wang Z, Lu J X, Hu Z H, Liu G and Fang J C 2018 IEEE Sens. J. 18 8198 [21] Lucivero V, Lee W, Dural N and Romalis M 2021 Phys. Rev. Appl. 15 014004 [22] Ito Y, Ohnishi H, Kamada K and Kobayashi T 2012 AIP Adv. 2 032127 [23] Li R J, Quan W and Fang J C 2017 IEEE Photonics J. 9 6 [24] Yin Y, Zhou B Q, Yin K F, Wang Y X, Tang J J, Ye M, Ning X L and Han B C 2021 J. Phys. D: Appl. Phys. 54 485001 [25] Liu Z, Lu J X, Yan Y G, Zhan D, Wang W Y, Li X Y and Li J L 2023 Meas. Sci. Technol. 34 085108 [26] Zhang H, Zou S, Quan W and Chen X Y 2024 Sensor. Actuat. A: Phys. 379 115900 [27] Li J J, Fang X J, Li R J, Chen B D, Zhai Y Y and Liu Y 2023 Chin. Phys. B 32 053201 [28] Kurian K G, Sahoo S S, Madhu P K and Rajalakshmi G 2023 Phys. Rev. Appl. 19 054040 [29] WangWY, Xia M M, QuanWandWei K 2024 Quantum Sci. Technol. 9 035048 [30] Zhu J, Jiang L W, Zhao X, Liu J L, Fang C, Shao Q, Zou Y T, Xu J H and Wang Z 2025 Measurement 242 115983 [31] Seltzer S J Developments in alkali-metal atomic magnetometry (Princeton University) p. 51 [32] Appelt S, Baranga A B A, Young A and Happer W 1999 Phys. Rev. A 59 2078 [33] Jia L, Song X D, Li J L, Suo Y C, Yang C X, Long T Y and Ning X L 2023 IEEE Sens. J. 23 12988 [34] Wei M M, YuWB, Zhou M, HuangW, Liu Y and Xu X 2023 AIP Adv. 13 035327 [35] Terao A, Ban K, Ichihara S, Mizutani N and Kobayashi T 2013 Phys. Rev. A 88 063413 [36] Savukov I M, Seltzer S, Romalis M and Sauer K 2005 Phys. Rev. Lett. 95 063004 [37] Liu J H, Jing D Y, Zhuang L, Quan W, Fang J C and Liu W M 2020 Chin. Phys. B 29 043206 [38] Alcock C B, Itkin V and Horrigan M 1984 Can. Metal. Q. 23 309 |
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