News Release

Atomic density disturbance rejection in atomic gyroscopes via Faraday polarimetric decoupling

Peer-Reviewed Publication

KeAi Communications Co., Ltd.

SCHEMATIC OF LIGHT ABSORPTION IN THE ATOMICGYROSCOPE VAPOR CELL.

image: 

Schematic of light absorption in the ATOMICgyroscope vapor cell. A pumping laser, with the same diameter as the vapor cell, polarizes atoms along the positive z-axis. r is the radius of the atomic vapor cell. The detection laser, oriented along the positive x-axis, measures the polarized atoms through FORA. A self-compensating magnetic field is applied along the z-axis to maintain the atomic ensemble in a self-compensating coupled state.

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Credit: Zehua Liu, et al

In a new study published in Defence Technology, a team of researchers from China introduced a framework that integrates finite-element simulation with neural networks to isolate density disturbances from signal measurements.

"Atomic density fluctuations act as a primary source of systematic error in Faraday optical rotation angle (FORA) measurements, inherently limiting the performance of atomic gyroscopes," explains corresponding author Associate Professor Haoying Pang. “We moved beyond traditional suppression techniques to propose a computational approach that directly estimates and compensates for these disturbances in real-time.”

The core of this innovation is the three-dimensional atomic density (TDAD) model. “Unlike the traditional one-dimensional Lambert-Beer law, this advanced model captures complex spatial light absorption characteristics, accounting for polarization distribution, density-dependent relaxation, and wall-induced effects,” says Pang. “This multidimensional approach provides a more physically accurate representation of the alkali metal cell's internal environment.”

To implement this model, the team leveraged a data-driven pipeline. By utilizing COMSOL Multiphysics for finite-element simulations, the researchers generated a comprehensive dataset of absorption-density mappings. These data were then used to train a feedforward neural network, creating a high-precision estimator for atomic density fluctuations. A specific decoupling equation was subsequently constructed to mathematically separate the density contributions from the System output signal.

“Experimental validation on a K-Rb-21Nesystem demonstrated that this method achieves superior long-term stability compared to traditional platinum-resistance temperature control methods,” shares Pang. “This framework is designed to be generalizable, paving the way for applying similar decoupling strategies to other optical pumping-based sensors, such as optically pumped magnetometers, where incident laser power density and spatial atomic polarization distribution are critical factors."

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Contact the author: Haoying Pang, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China. panghaoying@buaa.edu.cn

The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 200 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).

 


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