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A Study on the Optimization Methods for Optomechanical Alignment

机译:光学机械对准优化方法的研究

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The alignment for optomechanical components is important in designing and manufacturing optical systems. This study uses optical fibers for example to find suitable optimization strategies for optomechanical alignment. The core diameter of the single-mode fiber is about 6um to 9μm. Any slight misalignment or deformation of the optical mechanism will cause signification optical losses during connections. The alignment methods can be divided into passive and active ones. In the passive alignment, optical connectors, ferrules, and sleeves are used to align two optical fibers. In the active alignment, the best connection position with minimum connection losses must be found, and users usually take a lot of effort to do this. This study uses different optimum methodologies: non-gradient-based, gradient-based, and Hessian-based methods, to find the optimum position. The non-gradient-based method has low accuracy and the efficiency cannot be increased. The gradient-based methods seem to have better efficiency to find the optimum position because it uses gradient information to calculate the search direction in every iteration. Finally for the Hessian-based methods, it is found that the advantage of using Hessian matrix is not obvious because the light intensity distribution is similar to the Gaussian distribution.
机译:光学机械组件的对准在设计和制造光学系统中很重要。这项研究以光纤为例,以找到适合光机对准的优化策略。单模光纤的纤芯直径约为6um至9μm。光学机构的任何轻微错位或变形都会在连接期间引起明显的光学损失。对准方法可以分为被动方法和主动方法。在无源对准中,使用光连接器,套圈和套管将两个光纤对准。在主动对准中,必须找到具有最小连接损耗的最佳连接位置,并且用户通常会为此付出很多努力。本研究使用不同的最佳方法:基于非梯度的方法,基于梯度的方法和基于Hessian的方法,以找到最佳位置。基于非梯度的方法精度低,效率无法提高。基于梯度的方法似乎具有更好的效率来找到最佳位置,因为它使用梯度信息来计算每次迭代中的搜索方向。最后,对于基于Hessian的方法,发现使用Hessian矩阵的优势并不明显,因为光强度分布类似于高斯分布。

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