Spatial dynamics analysis of polarized atom vapor

TL;DR

This paper introduces a mathematical method to mitigate diffusion effects in polarized atom vapor, enhancing magnetic image resolution for applications like magnetic microscopy.

Contribution

A novel approach modeling diffusion as a Butterworth filter to restore original magnetic images in polarized atom vapor analysis.

Findings

Diffusion acts as a low pass filter in spatial frequency domain.

The method effectively restores blurred magnetic images.

Potential applications include magnetic gradiometers and atomic magnetic microscopy.

Abstract

We analyze the spatial dynamics of polarized atom vapor and present a mathematical method to eliminate the diffusion effect partially. It is found that the diffusion effect of polarized atoms can be regarded as a low pass filter in spatial frequency domain and fits well with a Butterworth filter. The fitted spatial filter can be used to restore the original magnetic image before being blurred by the diffusion, thus improving the magnetic spatial resolution. The results of spatial dynamics simulation and magnetic image restoration show the potential usage of this method in magnetic gradiometer and atomic magnetic microscopy.