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Integrated Method of Mask Data Checking and Inspection Data Prep for Manufacturable Mask Inspection: Inspection Rule Violations

机译:掩模数据检查和检测数据准备的集成方法,用于制造掩模检查:检查规则违规

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Many mask patterns contain small un-inspectable features (Inspection Rule Violations or IRVs) that create significant through-put time (TPT) impact at mask inspection due to excessive false defects. These small features include a) drawn test designs purposely intended to be small for evaluating process capabilities, and b) un-intended small features that result from errors such as overlap of designs, gaps between cells or synthesis errors. Typically, an IRV is a feature smaller than the minimum feature size capability of the mask inspection tool. This paper describes an integrated method to find such IRVs in the data and either fix them or declare that area as not inspectable. The method includes documented drawn size limits for inspectability, data checks at drawn level, data checks at post-fracture, and functions to define "Do Not Inspect Regions (DNIRs)" for any remaining IRVs in the data. Data checking at post-fracture must comprehend Optical Proximity Correction (OPC), which generates small features that are not IRVs. The defined DNIRs are listed in the jobdeck for automated inspection data preparation with no engineering intervention. The result is improved mask inspection TPT as well as early detection and correction of certain design or synthesis errors.
机译:许多掩模模式包含小的未检查功能(检查规则违规或IRV),由于过度的虚假缺陷,在面罩检查中会产生显着的通过放置时间(TPT)。这些小功能包括一个)绘制的测试设计,用于评估过程能力,b)由设计的重叠诸如重叠,电池或合成误差之间的误差而导致的未预期的小功能。通常,IRV是小于掩模检查工具的最小特征尺寸能力的特征。本文介绍了一个集成的方法,用于在数据中找到此类IRV,要么修复它们,要么声明该区域就不可检查。该方法包括记录的绘制大小限制,用于检查性,数据检查在绘制的级别,在骨折后的数据检查,以及定义“不检查数据的任何剩余IRV中的”不检查区域(DNIR)“。在骨折后的数据检查必须理解光学邻近校正(OPC),它产生不是IRV的小功能。定义的DNIR列在JobDeck中,以进行自动检查数据准备,没有工程干预。结果是改进的掩模检查TPT以及某些设计或合成误差的早期检测和校正。

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