发表机构
Stanford University; The University of Chicago; James Franck Institute（斯坦福大学; 芝加哥大学; 詹姆斯·弗兰克研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种基于射影几何的自动光学对准框架，利用低成本电动镜架和光电二极管优化器，实现复杂光束路径的快速、高精度对准，减少手动操作并提升可扩展性。
AI 中文摘要
在实验科学中，对准并维持复杂的光束路径是一项核心挑战，因为这是一项高维任务，控制量之间存在强交叉耦合，且通常发生在物理访问受限的系统中。我们提出了一种自动化的软硬件框架，利用低成本、可加装的电动镜架，结合射影几何模型和光电二极管驱动的优化器，解决了这一对准难题。一个紧凑的前向模型将光束路径描述至近轴阶，仅保留物理镜面角度为自由参数，因此可以快速（约毫秒级）数值求逆，以返回所需光束轨迹对应的镜面角度。随后，一个光电二极管驱动的优化器对该几何初始点进行微调，并将收敛后的镜面设置制成表格，可在毫秒级时间内检索、秒级时间内驱动执行。我们在一个反向反射的晶格原子输运系统上实验验证了该方法的性能，结果显示在速度和精度上均优于手动对准。该框架减少了对准复杂光束路径所需的手动工作量，能够在物理访问受限的实验中实现可编程光学控制，并增强了复杂光学架构的可扩展性。
英文摘要
Aligning and maintaining complex optical beam paths is a central challenge across experimental science, because it is a high-dimensional task with strong cross-coupling between controls, often in systems with limited physical access. We present an automated hardware-software framework that resolves this alignment challenge using low-cost, retro-fittable motorized mounts driven by projective-geometry models and a photodiode-fed optimizer. A compact forward model describes the beam path to paraxial order with only the physical mirror angles left free, so it can be rapidly ($\sim$ms) numerically inverted to return the required mirror angles for a desired beam trajectory. A photodiode-fed optimizer then fine-tunes this geometric starting point, and converged mirror settings are tabulated for retrieval in milliseconds and actuation in seconds. We experimentally demonstrate the performance of this approach on a retro-reflected lattice atom-transport system, yielding improvements in both speed and precision over manual alignment. This framework reduces the manual effort required to align complex beam paths, enables programmable optical control in experiments with limited physical access, and enhances the scalability of complex optical architectures.
Comments14 pages, 9 figures
