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Estimation of pattern shape based on CD-SEM image by using MPPC method

机译:使用MPPC方法基于CD-SEM图像的模式形状估计

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This study demonstrates the MPPC (Multiple Parameters Profile Characterization) measurement method utilizing ArF photo resist patterns. MPPC is a technique for estimating the three dimensional profile of patterns which are imaged and measured on the CD-SEM (critical dimension scanning electron microscope). MPPC utilizes the secondary electron signal to calculate several indices including top CD, peak CD, top rounding, bottom footing, etc. This primary focused of this study is to understand the variations in pattern profile caused by changes in exposure condition. The results demonstrate the ability to extract pattern profile shape information by MPPC measurement that could not otherwise be detected by a conventional bottom CD measurement method. Furthermore, the results were compared to cross sectional images collected by STEM (scanning transmission electron microscope) to verify the accuracy of the MPPC technique. The peak CD results accurately estimate the pattern width when the sidewall angle of the feature is nearly vertical. Additionally, line edge roughness (LER) caused by pattern profile variations was evaluated utilizing MPPC. The results suggest that MPPC may be utilized to evaluate the roughness over the entire profile.
机译:本研究展示了利用ARF照片抗蚀剂图案的MPPC(多个参数型材表征)测量方法。 MPPC是用于估计在CD-SEM(临界尺寸扫描电子显微镜)上成像和测量的图案的三维轮廓的技术。 MPPC利用二次电子信号来计算包括顶部CD,峰值CD,顶部舍入,底部基础等的几个指标。这项研究的主要聚焦是了解由暴露条件的变化引起的模式曲线的变化。结果证明了通过MPPC测量提取模式简档形状信息的能力,其无法通过传统的底部CD测量方法检测。此外,将结果与阀杆(扫描透射电子显微镜)收集的横截面图像进行比较,以验证MPPC技术的准确性。当特征的侧壁角度几乎垂直时,峰CD结果可以精确地估计图案宽度。另外,利用MPPC评估由图案轮廓变化引起的线边粗糙度(LER)。结果表明,MPPC可用于评估整个轮廓上的粗糙度。

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