论文标题
增强的主要组件方法用于冷原子图像中的条纹去除
Enhanced principle component method for fringe removal in cold atom images
论文作者
论文摘要
许多用于冷原子的功能强大的成像技术是基于通过比较已经通过原子云的光束图像与在没有原子的相似条件下拍摄的参考图像来确定光密度的。在实践中，光束轮廓通常包含干扰条纹，其相位在相机暴露之间不稳定。为了减少这些条纹在计算的光密度中的误差，通常采用基于原理成分分析（PCA）的算法。但是，PCA是通用的，并且不是针对干扰条纹的特定情况量身定制的。在这里，我们演示了一种利用干涉条纹的傅立叶空间结构，进一步减少光密度中的残留边缘特征。
Many powerful imaging techniques for cold atoms are based on determining the optical density by comparing a beam image having passed through the atom cloud to a reference image taken under similar conditions with no atoms. In practice the beam profile typically contains interference fringes whose phase is not stable between camera exposures. To reduce the error of these fringes in the computed optical density, an algorithm based on principle component analysis (PCA) is often employed. However, PCA is general purpose and not tailored to the specific case of interference fringes. Here we demonstrate an algorithm that takes advantage of the Fourier-space structure of interference fringes to further reduce the residual fringe signatures in the optical density.
