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DETERMINING THE IMPACTS OF STOCHASTIC BEHAVIOR ON OVERLAY METROLOGY DATA

机译:确定随机行为对叠加计量数据的影响

摘要

Methods are provided for designing metrology targets and estimating the uncertainty error of metrology metric values with respect to stochastic noise such as line properties (e.g., line edge roughness, LER). Minimal required dimensions of target elements may be derived from analysis of the line properties and uncertainty error of metrology measurements, by either CDSEM (critical dimension scanning electron microscopy) or optical systems, with corresponding targets. The importance of this analysis is emphasized in view of the finding that stochastic noise may have increased importance with when using more localized models such as CPE (correctables per exposure). The uncertainty error estimation may be used for target design, enhancement of overlay estimation and evaluation of measurement reliability in multiple contexts.
机译:提供了用于设计计量目标并估计关于诸如线路特性(例如,线路边缘粗糙度,LER)的随机噪声的计量度量值的不确定性误差的方法。可通过CDSEM(临界尺寸扫描电子显微镜)或光学系统以及相应的靶材,通过对测量特性的线性和不确定性误差进行分析,得出靶材元素的最小尺寸。考虑到以下发现,强调了此分析的重要性,即当使用更多本地化模型(例如CPE(每次曝光的可校正量))时,随机噪声可能会变得越来越重要。不确定性误差估计可用于目标设计,覆盖估计的增强以及在多种情况下的测量可靠性评估。

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