真实缺陷轮廓的建模,用于缺陷尺寸分布和良率预测

C. Hess, A. Strole
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引用次数: 3

摘要

为了有效的良率,预测缺陷通常用圆形圆盘或正方形来建模。提出了一个更精确的模型。它考虑了身体缺陷的真实轮廓。为了利用该模型,只需要确定检测缺陷的最大和最小扩展。使用包含缺陷定位过程的棋盘测试结构可以很容易地做到这一点。利用该椭圆模型对实际缺陷轮廓进行建模,可以大大提高缺陷数预测的准确性。如果应用缺陷轮廓的椭圆模型,则缺陷尺寸分布隐式地包含有关物理缺陷轮廓的信息。因此,在良率预测中,可以省去对缺陷轮廓的检查
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of real defect outlines for defect size distribution and yield prediction
For efficient yield, prediction defects are usually modeled by circular disks or squares. A more accurate model is presented. It considers the real outline of physical defects. To utilize this model, only the maximum and the minimum extension of detected defects must be determined. That can be done easily using a checkerboard test structure including a defect localization procedure. The accuracy of the predicted number of defects can be substantially enhanced by modeling real defect outlines with this elliptical model. If the elliptical model of the defect outlines is applied, the defect size distribution implicitly contains information about the physical defect outlines. Hence, for yield prediction the inspection of defect outlines can be omitted.<>
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