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Detection Signal Analysis of Actinic Inspection of EUV Mask Blanks Using Dark-field Imaging

机译:暗场成像法对EUV口罩毛坯进行光化检测的检测信号分析

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MIRAI Project has developed a novel actinic (at-wavelength) inspection tool for detecting critical multilayer defects on EUV mask blanks using a dark-field imaging and a laser-produced plasma (LPP) light source. Characterization of this experimental actinic inspection tool is ongoing to define the detailed specification of a proto-type tool. One of the important factors which improve the sensitivity of the inspection tool is the suppression of background noise and the optimization of detective conditions to get a high intensity signal . In this paper, characterization results of background noise and through focus imaging are presented. The multi-coated layer roughness-induced scattering noise which is a main factor of background noise is in proportion to the square of high and mid intermediate range roughness. The background level is expected to be suppressed to about two-thirds of an ordinary level, by improvement of multi-coated layer blank making. To inspect various defects with high sensitivity, through focus characteristics on various programmed defects with dot, hole, line, groove shapes is examined. Best focus in which a maximum defect signal is obtained is different between pattern types, especially hole and dot, and a common focus level through various small patterns can not be secured. Signal-to-background ratio (SBR) we proposed is a good parameter for defect detection because it has a wide focus latitude and it is possible to detect both small hole and dot defects with a common focus level.
机译:MIRAI项目开发了一种新颖的光化(波长)检查工具,该工具可使用暗场成像和激光产生的等离子体(LPP)光源检测EUV掩模坯料上的关键多层缺陷。该实验性光化检查工具的表征正在进行中,以定义原型工具的详细规格。提高检测工具灵敏度的重要因素之一是抑制背景噪声和优化检测条件以获得高强度信号。本文介绍了背景噪声和聚焦成像的表征结果。作为背景噪声的主要因素的多涂层粗糙度引起的散射噪声与高和中中间范围粗糙度的平方成比例。通过改善多层涂层坯料的制造,可以预期将背景水平抑制到普通水平的三分之二左右。为了以高灵敏度检查各种缺陷,通过对具有点,孔,线,槽形状的各种编程缺陷的聚焦特性进行检查。在图案类型之间,尤其是在空穴和点之间,获得最大缺陷信号的最佳聚焦是不同的,并且不能确保通过各种小图案的共同聚焦水平。我们提出的信噪比(SBR)是缺陷检测的良好参数,因为它具有宽广的聚焦范围,并且可以检测具有共同聚焦水平的小孔和点缺陷。

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