English

Picotesla-sensitivity microcavity optomechanical magnetometry

Optics 2024-10-08 v1 Applied Physics

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 (QQ) factor whispering gallery mode (WGM) microcavities. However, the sensitivity was limited to 585 pT/Hz1/2^{1/2}, 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-QQ SiO2_2 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 SiO2_2 microdisk. Multiple magnetometers with different radii are fabricated and characterized. By utilizing a microdisk with a radius of 355 μ\mum and a thickness of 1 μ\mum, along with a FeGaB film with a radius of 330 μ\mum and a thickness of 1.3 μ\mum, we have achieved a remarkable peak sensitivity of 1.68 pT/Hz1/2^{1/2} 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}
}
R2 v1 2026-06-28T15:28:29.115Z