论文标题
量子气显微镜图像的反卷积技术的比较研究
A comparative study of deconvolution techniques for quantum-gas microscope images
论文作者
论文摘要
量子气显微镜用于研究单个颗粒水平的光学晶格中的超电原子。在这些系统中，原子位于晶格位点，其分隔距离衍射极限或低于衍射极限。为了确定高保真度的晶格职业，通常需要对图像进行反卷积。我们使用模拟显微镜图像比较了三种不同的技术，即一种局部迭代反向卷积算法，维也纳反卷积和露西 - 里查森算法。我们研究了如何以不同的信号噪声比，晶格填充分数，每个原子的荧光水平变化和成像分辨率的重建保真度尺度。这项研究的结果确定了新的原子检测的极限，并提供了适用于不同原子种类和量子气显微镜设置的定量保真度。
Quantum-gas microscopes are used to study ultracold atoms in optical lattices at the single particle level. In these system atoms are localised on lattice sites with separations close to or below the diffraction limit. To determine the lattice occupation with high fidelity, a deconvolution of the images is often required. We compare three different techniques, a local iterative deconvolution algorithm, Wiener deconvolution and the Lucy-Richardson algorithm, using simulated microscope images. We investigate how the reconstruction fidelity scales with varying signal-to-noise ratio, lattice filling fraction, varying fluorescence levels per atom, and imaging resolution. The results of this study identify the limits of singe-atom detection and provide quantitative fidelities which are applicable for different atomic species and quantum-gas microscope setups.
