Picotesla-sensitivity microcavity optomechanical magnetometry
Abstract
Cavity optomechanical systems have enabled precision sensing of magnetic fields, by leveraging the optical resonance-enhanced readout and mechanical resonance-enhanced response. Previous studies have successfully achieved scalable and reproducible microcavity optomechanical magnetometry (MCOM) by incorporating Terfenol-D thin films into high-quality () factor whispering gallery mode (WGM) microcavities. However, the sensitivity was limited to 585 pT/Hz, over 20 times inferior to those using Terfenol-D particles. In this work, we propose and demonstrate a high-sensitivity and scalable MCOM approach by sputtering a FeGaB thin film onto a high- SiO WGM microdisk. Theoretical studies are conducted to explore the magnetic actuation constant and noise-limited sensitivity by varying the parameters of the FeGaB film and SiO microdisk. Multiple magnetometers with different radii are fabricated and characterized. By utilizing a microdisk with a radius of 355 m and a thickness of 1 m, along with a FeGaB film with a radius of 330 m and a thickness of 1.3 m, we have achieved a remarkable peak sensitivity of 1.68 pT/Hz at 9.52 MHz. This represents a significant improvement of over two orders of magnitude compared with previous studies employing sputtered Terfenol-D film. Notably, the magnetometer operates without a bias magnetic field, thanks to the remarkable soft magnetic properties of the FeGaB film. Furthermore, as a proof-of-concept, we have demonstrated the real-time measurement of a pulsed magnetic field simulating the corona current in a high-voltage transmission line using our developed magnetometer. These high-sensitivity magnetometers hold great potential for various applications, such as magnetic induction tomography and corona current monitoring.
Keywords
Cite
@article{arxiv.2403.14301,
title = {Picotesla-sensitivity microcavity optomechanical magnetometry},
author = {Zhi-Gang Hu and Yi-Meng Gao and Jian-Fei Liu and Hao Yang and Min Wang and Yuechen Lei and Xin Zhou and Jincheng Li and Xuening Cao and Jinjing Liang and Chao-Qun Hu and Zhilin Li and Yong-Chang Lau and Jian-Wang Cai and Bei-Bei Li},
journal= {arXiv preprint arXiv:2403.14301},
year = {2024}
}