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Automated CD SEM Tilt: Ready for primetime, a fast in-line methodology for differentiating lines vs. spaces

机译:自动化CD SEM倾斜:准备好进行黄金时段,这是一种用于区分行与空格的快速在线方法

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One of many challenges the process or metrology engineers face is incorrect flagging on the processcontrol chart. It could either be a result of an un-optimized recipe that measures the wrong feature (a spaceinstead of line) or a feature placement error due to tool limitation. This can be a costly problem in the fabwhere processes are put on hold, feedback loops are corrupted and backlogs are built up unnecessarily.Often many hours must be spent by operators re-inspecting lots and process or metrology engineers requalifyingthe recipes. Most CD SEMs use algorithms employing pattern matching and contrast differenceto differentiate between line and space. However, the shrinking node requirement, limited contrast betweenline and space images and the 1:1 line and space ratios have revealed limitations of these algorithms.Recently, a metrology solution using beam tilt on the KLA-Tencor ECD-2 has been developed to tackle theproblem of dense line or dense trench array measurements. This methodology is a line vs. space detectionmechanism that precedes the metrology measurement. This application is quick and oblivious to lowcontrast differences between line/space and to systematic errors that occur with narrow feature positioning.Whether or not the specified feature type for measurement is centered in the field of view, it always detectsthe requested feature type and sets the metrology measurement to be made accordingly and thereforesignificantly reducing false negatives and false positives. This application also allows for greater tolerancein recipe setup and placement error, and thus lightens the burden of recipe creation on the novice user. Thistechnique can also be incorporated into waferless design based metrology where limited prior knowledge ofthe wafer is one of the requirements.
机译:过程或计量工程师面临的众多挑战之一是对过程的错误标记 控制图。可能是由于未优化的配方测量了错误的功能(空格) 而不是线条)或由于工具限制而导致的特征放置错误。在晶圆厂中这可能是一个代价高昂的问题 在流程被搁置的情况下,反馈循环将被破坏,积压的积压被不必要地建立。 操作员通常需要花费大量时间来重新检查批次,过程或计量工程师必须重新进行资格鉴定 食谱。大多数CD SEM使用使用模式匹配和对比度差异的算法 区分线和空间。但是,节点要求不断缩小,两者之间的对比有限 线和空间图像以及1:1的线和空间比率已揭示了这些算法的局限性。 最近,已开发出一种在KLA-Tencor ECD-2上使用光束倾斜的计量解决方案,以解决 密集线或密集沟槽阵列测量的问题。这种方法是线与空间检测 度量衡测量之前的机制。此应用程序快速而低调 对比线/空间之间的差异以及与狭窄特征定位时发生的系统误差之间的差异。 指定的测量特征类型是否位于视场的中心,它将始终检测到 所请求的特征类型并设置相应的度量衡度量,因此 大大减少了误报和误报。此应用程序还允许更大的容忍度 配方设置和放置错误,从而减轻了新手用户配方创建的负担。这 这项技术还可以结合到基于无晶圆设计的计量中,其中,有限的先验知识 晶圆是要求之一。

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