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A study on the optimization methods for optomechanical alignment

机译:光机械对准优化方法研究

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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 6μm 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:光机械部件的对准在设计和制造光学系统方面很重要。本研究使用光纤,例如寻找用于光学机械对准的合适优化策略。单模纤维的芯直径约为6μm至9μm。光学机构的任何轻微未对准或变形将在连接期间引起意义光学损耗。对准方法可以分为被动和有效的方法。在无源对准,光学连接器,套圈和套筒中用于对准两个光纤。在主动对齐中,必须找到具有最小连接损耗的最佳连接位置,用户通常需要很多努力来执行此操作。本研究采用不同的最佳方法:基于非梯度,基于梯度和基于Hessian的方法,以找到最佳位置。基于非梯度的方法具有低精度,并且无法增加效率。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在每次迭代中计算搜索方向。最后对于基于Hessian的方法,发现使用Hessian矩阵的优点是不明显的,因为光强度分布类似于高斯分布。

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