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Accurate characterization of mask defects by combination of phase retrieval and deterministic approach

机译:通过相取和确定性方法相结合来精确表征掩模缺陷

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In this paper, we present a method to characterize not only shape but also depth of defects in line and space mask patterns. Features in a mask are too fine for conventional imaging system to resolve them and coherent imaging system providing only the pattern diffracted by the mask are used. Then, phase retrieval methods may be applied, but the accuracy it too low to determine the exact shape of the defect. Deterministic methods have been proposed to characterize accurately the defect, but it requires a reference pattern. We propose to use successively phase retrieval algorithm to retrieve the general shape of the mask and then deterministic approach to characterize precisely the defects detected.
机译:在本文中,我们提出了一种不仅可以表征形状的特征,而且还可以表征线和空间掩模图案中缺陷深度的方法。掩模中的特征对于常规成像系统来说太精细而不能解决它们,并且使用仅提供由掩模衍射的图案的相干成像系统。然后,可以应用相位检索方法,但是其准确性太低,无法确定缺陷的确切形状。已经提出了确定性方法来准确地表征缺陷,但是它需要参考模式。我们建议先后使用相位检索算法来检索掩模的一般形状,然后采用确定性方法来精确表征检测到的缺陷。

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