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Reticle programmed defect size measurement using low-voltage SEM and pattern recognition techniques

机译:使用低压SEM和图案识别技术的光罩编程缺陷尺寸测量

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Abstract: The use of programmed defect test reticles to characterize automatic defect inspection equipment has long been an established practice in the maskmaking industry. Measurement of the defect sizes on these programmed defect test masks is not necessary if one only desires to qualitatively investigate differences in system performance. However, more meaningful comparisons in inspection system performance require a calibrated programmed defect test mask. Historically, commercially available programmed defect test reticles have not had traceable or well-documented defect sizing methods nor was information regarding the precision of these measurements provided. This paper describes the methods used and results obtained from the work performed to address these issues. Using a low voltage scanning electron microscope as an image acquisition system, defect sizing is accomplished using automated pattern recognition software. The software reports defect size metrics such as maximum inscribed circle diameter and area. Measurement precision better than 30 nm has been demonstrated for the maximum inscribed circle method. The correlation of SEM based measurements to historical optical metrology measurements ia also discussed.!1
机译:摘要:使用程序化缺陷测试标线来表征自动缺陷检测设备已长期是口罩制造行业的既定实践。如果只希望定性地研究系统性能的差异,则无需在这些已编程的缺陷测试掩模上测量缺陷尺寸。但是,在检查系统性能上进行更有意义的比较需要校准的编程缺陷测试模板。从历史上看,市售的程序化缺陷测试掩模版没有可追溯的或有据可查的缺陷尺寸确定方法,也没有提供有关这些测量精度的信息。本文介绍了用于解决这些问题的方法以及从工作中获得的结果。使用低压扫描电子显微镜作为图像采集系统,可以使用自动模式识别软件来完成缺陷尺寸的确定。该软件报告缺陷尺寸指标,例如最大内切圆直径和面积。对于最大内切圆法,已经证明了优于30 nm的测量精度。还讨论了基于SEM的测量与历史光学计量学测量的相关性!1

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