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On the Sensitivity Improvement and Cross-correlation Methodology for Confocal EUV Mask Blank Defect Inspection Tool Fleet

机译:共聚焦EUV面罩毛坯缺陷检查工具舰队的灵敏度改善和互相关方法论

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A multibeam confocal inspection (MCI) beta-tool for mask blank defect detection has been developed and widely adopted at several organizations involved in the research and development of low-defect extreme ultraviolet (EUV) mask blanks. There are two important objectives of this tool development project: (1) ensuring that all printable multilayer and substrate defects are detectable at the half-pitch 45-nm technology node and beyond and (2) enabling a metrology standard for acceptance or rejection of mask blanks before further processing such as deposition and patterning. This paper documents the technical challenges and the latest best known methods developed to (1) improve the detection sensitivity of the current MCI tool before the next-generation tool arrives and (2) quantify the detection sensitivity differences and correlate the measurement results of the same mask blank from different MCI tools. Several options are discussed and found to be effective to increase sensitivity. Tool differences are discussed and a calibration standard based on a tool detection model and a confocal imaging model is proposed. This work will result in one of the key methodologies required to ensure the yield of EUV lithography.
机译:已经开发出一种用于面罩毛坯缺陷检测的多光束共聚焦检测(MCI)beta工具,并已在参与低缺陷极紫外(EUV)面罩毛坯研究和开发的多个组织中广泛采用。该工具开发项目的两个重要目标是:(1)确保在半间距45-nm技术节点及以后可检测到所有可印刷的多层和基板缺陷,以及(2)制定用于接受或拒绝掩模的计量标准在进行进一步处理(例如沉积和图案化)之前先进行毛坯处理。本文记录了技术挑战和最新的最著名方法,这些方法旨在(1)在下一代工具出现之前提高当前MCI工具的检测灵敏度,以及(2)量化检测灵敏度差异并将其测量结果关联起来屏蔽来自不同MCI工具的空白。讨论了几种选择,发现它们可以有效地提高灵敏度。讨论了刀具差异,并提出了基于刀具检测模型和共焦成像模型的校准标准。这项工作将成为确保EUV光刻产量所需的关键方法之一。

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