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Evaluation of Mask Quality Control Methods addressing Progressive Haze Issues

机译:评估口罩质量控制方法以解决渐进的雾霾问题

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摘要

A traditional method of mask quality control in a fab has been wafer image qualification i.e., wafer inspection on printed monitor wafer or wafer inspection on production wafer. But recently many fabs that are using DUV lithography for low k1 process are experiencing the progressive defect growth challenge (such as crystal growth, haze, fungus, precipitate etc.) on their photomasks. The quality of some reticles will worsen over time due to this progressive defect problem on the mask. Hence it is important to detect such problems before they start impacting the device yield. An evaluation was constructed in a Japanese advanced logic fab to compare the performance between traditional image qualification methods and direct reticle inspection using TeraStar STARlight. The goal was to determine if the TeraStar STARlight inspection could provide the sensitivity required to give early warning of progressive defects before image qualification can detect these defects. Evaluation results show that TeraStar STASJight is the most effective method in a fab to provide early warning to a progressive defect growth on reticle that is likely to print later during mask life.
机译:晶圆厂中掩膜质量控制的传统方法是晶圆图像鉴定,即在印刷监视器晶圆上进行晶圆检查或在生产晶圆上进行晶圆检查。但是最近,许多使用DUV光刻技术进行低k1加工的工厂在其光掩模上都遇到了缺陷增长的挑战(例如晶体生长,雾度,真菌,沉淀物等)。由于掩模上的这种渐进的缺陷问题,某些掩模版的质量会随着时间的流逝而变差。因此,重要的是要在此类问题开始影响器件成品率之前对其进行检测。在日本一家先进的逻辑工厂中进行了评估,以比较传统图像鉴定方法和使用TeraStar STARlight的直接光罩检查之间的性能。目的是确定TeraStar STARlight检查是否能够提供必要的灵敏度,以便在图像鉴定可以检测到这些缺陷之前对渐进性缺陷进行预警。评估结果表明,TeraStar STASJight是制造厂中最有效的方法,可为掩模版上逐渐出现的缺陷增长提供预警,并可能在掩膜寿命期间稍后印刷。

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