Precision measurement and suppression of low-frequency noise in a current source with double-resonance alignment magnetometers
Jintao Zheng(郑锦韬)1,2, Yang Zhang(张洋)1,2, Zaiyang Yu(鱼在洋)1,2,3, Zhiqiang Xiong(熊志强)1,2, Hui Luo(罗晖)1,2, and Zhiguo Wang(汪之国)1,2,†
1 College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China; 2 Hunan Key Laboratory of Mechanism and Technology of Quantum Information, National University of Defense Technology, Changsha 410073, China; 3 School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710049, China
Abstract Low-noise high-stability current sources have essential applications such as neutron electric dipole moment measurement and high-stability magnetometers. Previous studies mainly focused on frequency noise above 0.1 Hz while less on the low-frequency noise/drift. We use double resonance alignment magnetometers (DRAMs) to measure and suppress the low-frequency noise of a homemade current source (CS) board. The CS board noise level is suppressed by about 10 times in the range of 0.001-0.1 Hz and is reduced to at 0.001 Hz. The relative stability of CS board can reach . In addition, the DRAM shows a better resolution and accuracy than a commercial 7.5-digit multimeter when measuring our homemade CS board. Further, by combining the DRAM with a double resonance orientation magnetometer, we may realize a low-noise CS in the 0.001-1000 Hz range.
(Magnetometers for susceptibility, magnetic moment, and magnetization measurements)
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 12174446 and 61671458).
Corresponding Authors:
Zhiguo Wang
E-mail: maxborn@nudt.edu.cn
Cite this article:
Jintao Zheng(郑锦韬), Yang Zhang(张洋), Zaiyang Yu(鱼在洋),Zhiqiang Xiong(熊志强), Hui Luo(罗晖), and Zhiguo Wang(汪之国) Precision measurement and suppression of low-frequency noise in a current source with double-resonance alignment magnetometers 2023 Chin. Phys. B 32 040601
[1] Kitching J, Donley E A, Knappe S, Hummon M, Dellis A T, Sherman J, Srinivasan K, Aksyuk V A, Li Q, Westly D, Roxworthy B and Lal A 2016 J. Phys.: Conf. Ser.723 012056 [2] Afach S, Budker D, DeCamp G, et al. 2018 Phys. Dark Universe22 162 [3] Chupp T E, Fierlinger P, Ramsey-Musolf M J and Singh J T 2019 Rev. Mod. Phys.91 015001 [4] Wurm D, Beck D H, Chupp T et al. 2019 EPJ Web Conf.219 02006 [5] Allmendinger F, Heil W, Karpuk S, Kilian W, Scharth A, Schmidt U, Schnabel A, Sobolev Yu and Tullney K 2014 Phys. Rev. Lett.112 110801 [6] Terrano W A and Romalis M V 2021 Quantum Sci. Technol.7 014001 [7] Furukawa T, Inoue T, Nanao T, Yoshimi A, Tsuchiya M, Hayashi H, Uchida M and Asahi K 2011 J. Phys.: Conf. Ser.312 102005 [8] Castagna N, Bison G, Di Domenico G, Hofer A, Knowles P, Macchione C, Saudan H and Weis A 2009 Appl. Phys. B96 763 [9] Taylor J M, Cappellaro P, Childress L, Jiang L, Budker D, Hemmer P R, Yacoby A, Walsworth R and Lukin M D 2008 Nat. Phys.4 810 [10] Shen L, Zhang R, Wu T, Peng X, Yu S, Chen J and Guo H 2020 Rev. Sci. Instrum.91 084701 [11] Rosner M, Beck D, Fierlinger P, Filter H, Klau C, Kuchler F, Rößner P, Sturm M, Wurm D and Sun Z 2022 Appl. Phys. Lett.120 161102 [12] Chen D Y, Miao P X, Shi Y C, Cui J Z, Liu Z D, Chen J and Wang K 2022 Acta Phys. Sin.71 024202 (in Chinee) [13] Rosner M, Beck D, Fierlinger P, Filter H, Klau C, Kuchler F, Rößner P, Sturm M, Wurm D and Sun Z 2022 Appl. Phys. Lett.120 161102 [14] Ding Y, Zhang R, Zheng J, Chen J, Peng X, Wu T and Guo H 2022 Rev. Sci. Instrum.93 015003 [15] Weis A, Bison G and Pazgalev A S 2006 Phys. Rev. A74 033401 [16] Mathur B S, Tang H and Happer W 1968 Phys. Rev.171 11 [17] Di Domenico G, Bison G, Groeger S, Knowles P, Pazgalev A S, Rebetez M, Saudan H and Weis A 2006 Phys. Rev. A74 063415 [18] Breschi E, Grujić Z and Weis A 2014 Appl. Phys. B115 85 [19] Heinzel G, Rüdiger A and Schilling R 2002 http://hdl.handle.net/11858/00-001M-0000-0013-557A-5[2002] [20] Kornack T W, Smullin S J, Lee S K and Romalis M V 2007 Appl. Phys. Lett.90 223501 [21] Keshtkar A, Maghoul A and Kalantarnia A 2011 Int. J. Comput. Electr. Eng.3 507 [22] Altarev I, Bales M, Beck D H, et al. 2015 J. Appl. Phys.117 183903 [23] Gemmel C, Heil W, Karpuk S, Lenz K, Ludwig Ch, Sobolev Yu, Tullney K, Burghoff M, Kilian W, Knappe-Grüneberg S, Müller W, Schnabel A, Seifert F, Trahms L and Baeßler St 2010 Eur. Phys. J. D57 303 [24] Zhivun E 2016 Ph.D. Dissertation (Berkeley: University of California, Berkeley) [25] Fan W, Liu G, Li R, Quan W, Jiang L and Duan L 2017 Meas. Sci. Technol.28 095007 [26] Stoller S D, Happer W and Dyson F J 1991 Phys. Rev. A44 7459 [27] Golub R, Rohm R M and Swank C M 2011 Phys. Rev. A83 023402 [28] Fu Y Y and Yuan J 2017 AIP Adv.7 115315 [29] Zheng W, Gao H, Liu J G, Zhang Y, Ye Q and Swank C 2011 Phys. Rev. A84 053411 [30] Yang K, Lu J, Ma Y, Wang Z, Sun B, Wang Y and Han B 2022 IEEE Trans. Instrum. Meas.71 1501108
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