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Selection and use of representative target subsets

机译:代表性目标子集的选择和使用

摘要

Methods and respective modules which reduce sample size and measurement duration of metrology parameters by selecting a relatively small subset of measured targets to represent a distribution of parameter measurements of a large number of targets. The subset is selected by sampling a substantially equal number of measurements from each of a selected number of quantiles of the distribution. The methods and modules allow identification of targets which represent correctly the whole target measurement distribution. The methods and modules optimize quantiles and sample size selections, using accuracy scores and estimations of the robustness of the selections. Sampling and selections may be carried out iteratively to reach specified criteria that match the results which can be derived when considering the whole distribution.
机译:通过选择相对较小的被测量目标子集来表示大量目标的参数测量分布的方法和相应模块,可减少度量标准参数的样本大小和测量持续时间。通过从分布的选定数量的分位数的每一个中采样基本相等数量的测量值来选择子集。所述方法和模块允许识别正确地代表整个目标测量分布的目标。所述方法和模块使用准确性得分和对选择的鲁棒性的估计来优化分位数和样本大小选择。可以反复进行采样和选择,以达到指定的标准,该标准与考虑整个分布时可以得出的结果相匹配。

著录项

  • 公开/公告号US10025756B2

    专利类型

  • 公开/公告日2018-07-17

    原文格式PDF

  • 申请/专利权人 KLA-TENCOR CORPORATION;

    申请/专利号US201414508469

  • 发明设计人 DANA KLEIN;SVEN JUG;

    申请日2014-10-07

  • 分类号G06F17/18;G03F7/20;G05B19/418;

  • 国家 US

  • 入库时间 2022-08-21 13:05:47

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