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首页> 外文期刊>Japanese Journal of Applied Physics. Part 1, Regular Papers, Brief Communications & Review Papers >Experimental Verification of Autoalignment for Focusing Unit of Near Field Recording System: Neural Network Approach
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Experimental Verification of Autoalignment for Focusing Unit of Near Field Recording System: Neural Network Approach

机译:近场记录系统聚焦单元自动对准的实验验证:神经网络方法

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From the viewpoint of assembly, an autoalignment method and experimental verification results for the focusing unit (FU) of a near-field recording (NFR) system are proposed. Generally, the size of focusing unit composed of an objective lens and a solid immersion lens is smaller than that of the conventional focusing unit. Hence there are difficulties in the precise assembly of the small focusing unit. We composed an autoalignment system with an interferometer and carried out an experimental verification of the proposed methodology using some focusing unit samples. Excluding manufacturing errors of optical components, we could make the alignment error of FU less than wavefront error of 0.03λ by the proposed method.
机译:从组装的角度出发,提出了一种近场记录(NFR)系统的聚焦单元(FU)的自动对准方法和实验验证结果。通常,由物镜和固体浸没透镜组成的聚焦单元的尺寸小于常规聚焦单元的尺寸。因此,难以精确地组装小型聚焦单元。我们使用干涉仪组成了自动对准系统,并使用一些聚焦单元样本对提出的方法进行了实验验证。排除光学元件的制造误差,通过所提出的方法可以使FU的对准误差小于0.03λ的波阵面误差。

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