论文标题
通过计算机视觉和MAGIS-100实验的主成分分析降低噪音的光束分析和降低噪音
Beam Profiling with Noise Reduction From Computer Vision and Principal Component Analysis for the MAGIS-100 Experiment
论文作者
论文摘要
MAGIS-100是一种长基原子干涉仪，可作为量子传感器运行。它将搜索暗物质，探测基本量子科学，并在0.3至3〜Hz频率范围内充当原型引力波检测器。该实验使用光脉冲原子干涉法，其中光的脉冲创造了光束弹片和镜子的原子光学等效物。激光束像差是MAGIS-100系统误差的关键来源，因此准确表征激光束空间轮廓是必不可少的。在本文中，我们描述了一种新的高效梁分析技术。我们使用固定在翻译和旋转的光机械安装座上的低成本CMOS摄像机来对光束进行成像，然后采用计算机视觉和主成分分析来最大程度地减少背景噪声，并为在各种异常引起光学元件的激光器上生成准确的光束配置文件。
MAGIS-100 is a long-baseline atom interferometer that operates as a quantum sensor. It will search for dark matter, probe fundamental quantum science, and serve as a prototype gravitational wave detector in the 0.3 to 3~Hz frequency range. The experiment uses light-pulse atom interferometry where pulses of light create the atom optics equivalents of beamsplitters and mirrors. Laser beam aberrations are a key source of systematic error for MAGIS-100, and accurately characterizing the laser beam spatial profile is therefore essential. In this paper, we describe a new and efficient beam profiling technique. We use a low-cost CMOS camera affixed to a translating and rotating optomechanical mount to image the beam, then employ computer vision and principal component analysis to minimize background noise and produce accurate beam profiles for a laser incident on a variety of aberration-inducing optical elements.
