论文标题
Raspberry Pi自动对准器：激光束自动对齐的机器学习
The Raspberry Pi Auto-aligner: Machine Learning for Automated Alignment of Laser Beams
论文作者
论文摘要
我们为自动束对准优化提供了一种新的解决方案。该设备基于Raspberry Pi计算机，步进电动机，商业光学机械设备和电子设备以及开源机器学习算法M-loop。我们为操作设备所需的自定义硬件提供示意图，并讨论确定性能的诊断技术。光束自动对齐设备已用于将激光束的对齐方式改进单模光纤，从手动优化的纤维对齐中，迭代时间通常为20〜分钟。我们介绍了一个这样的测量的示例数据，以说明设备性能。
We present a novel solution to automated beam alignment optimization. This device is based on a Raspberry Pi computer, stepper motors, commercial optomechanics and electronic devices, and the open source machine learning algorithm M-LOOP. We provide schematic drawings for the custom hardware necessary to operate the device and discuss diagnostic techniques to determine the performance. The beam auto-aligning device has been used to improve the alignment of a laser beam into a single-mode optical fiber from manually optimized fiber alignment with an iteration time of typically 20~minutes. We present example data of one such measurement to illustrate device performance.
