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High sensitivity tracking of CD-SEM performance: QSEM

机译:CD-SEM性能的高灵敏度跟踪:QSEM

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The performance of CD-SEMs directly affects the measured values of critical dimensions (CDs) at the time of their measurement. Tracking the performance of CD-SEMs is necessary to establish trust in their results and provide guidance for preventive maintenance and tune-ups. When the measured CDs are out of specification in manufacturing, it is crucial to determine whether this is due to process variation or the metrology tool itself. Multiple methods that use linewidth measurements have been employed thus far; however, they suffer from linewidth variations on the wafer, as well as from variations of line edge and linewidth roughness. Here, we report a method that is capable of providing a quantitative extraction of the SEM performance based on advanced algorithms. The method is independent of linewidth, line edge roughness and linewidth roughness, and has high sensitivity. This software, QSEM, was developed to automatically evaluate image quality and assign a value to that quality. The image quality value is based on multiple factors such as noise, sharpness, analysis of histograms, and contrast. The sensitivity of the software was evaluated; a good correlation between image quality results and linewidth variation due to SEM performance was established. Using QSEM to analyze SEM images allows the performance of CD-SEMs to be tracked for proper calibration and preventive maintenance, as well as to resolve the dispute between failure in the process or the metrology.
机译:CD-SEM的性能在测量时直接影响关键尺寸(CDS)的测量值。跟踪CD-SEM的性能是在其结果中建立信任的必要条件,并为预防性维护和调整提供指导。当测量的CD在制造中的规范中超出规范时,确定这是否是由于过程变化或计量工具本身是至关重要的。到目前为止,使用了多种使用线宽测量的方法;然而,它们遭受晶片上的线宽变化,以及线边缘和线宽粗糙度的变化。在这里,我们报告了一种方法,该方法能够根据高级算法提供SEM性能的定量提取。该方法独立于线宽,线路边缘粗糙度和线宽粗糙度,灵敏度高。该软件QSEM开发为自动评估图像质量并为该质量分配值。图像质量值基于多种因素,例如噪声,锐度,直方图分析和对比度。评估软件的敏感性;建立了图像质量结果与铅宽变化之间的良好相关性。使用QSEM进行分析SEM图像允许跟踪CD-SEM的性能以进行适当的校准和预防性维护,以及解决过程中失败之间的争议或计量。

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