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    • 6. 发明授权
    • Computer-implemented methods for performing one or more defect-related functions
    • 用于执行一个或多个缺陷相关功能的计算机实现的方法
    • US09037280B2
    • 2015-05-19
    • US11146342
    • 2005-06-06
    • Mark DishnerChris W. LeeSharon McCauleyPatrick HuetDavid Wang
    • Mark DishnerChris W. LeeSharon McCauleyPatrick HuetDavid Wang
    • G06F19/00G05B23/02
    • G05B23/0221
    • Computer-implemented methods for performing one or more defect-related functions are provided. One method for identifying noise in inspection data includes identifying events detected in a number of sets of inspection data that is less than a predetermined number as noise. One method for binning defects includes binning the defects into groups based on defect characteristics and the sets of the inspection data in which the defects were detected. One method for selecting defects for defect analysis includes binning defects into group(s) based on proximity of the defects to each other and spatial signatures formed by the group(s). A different method for selecting defects for defect analysis includes selecting defects having the greatest diversity of defect characteristic(s) for defect analysis. One method includes classifying defects on a specimen using inspection data generated for the specimen combined with defect review data generated for the specimen.
    • 提供了用于执行一个或多个缺陷相关功能的计算机实现的方法。 用于识别检查数据中的噪声的一种方法包括将小于预定数目的多组检查数据中检测到的事件识别为噪声。 分类缺陷的一种方法包括基于缺陷特征和检测缺陷检查数据的集合将缺陷合并成组。 用于选择缺陷分析的缺陷的一种方法包括基于缺陷彼此的接近度和由组形成的空间特征将缺陷合并成组。 用于选择缺陷分析缺陷的不同方法包括选择具有最大差异缺陷特征的缺陷以进行缺陷分析。 一种方法包括使用生成的样本的检查数据与样本产生的缺陷评估数据相结合来对样本进行分类。