首页> 外文期刊>Journal of vacuum science and technology, B. Nanotechnology & microelectronics: materials, processing, measurement, & phenomena: =JVST B >Biases and uncertainties in the use of autocovariance and height-height covariance functions to characterize roughness
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Biases and uncertainties in the use of autocovariance and height-height covariance functions to characterize roughness

机译:偏见和不确定性的使用自协方差和协方差height-height函数来描述粗糙度

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摘要

Measuring the frequency response of roughness is necessary in many applications, leading to the common use of the power spectral density (PSD) of the roughness. But biases and random uncertainties in the PSD have led some to explore the use of the autocovariance function (ACF) and the height-height covariance function (HHCF) instead. These functions also entail systematic biases and random uncertainties when applied to measured roughness, requiring detailed characterization. A combination of analytical derivations and simulations of rough edges have led to a thorough characterization of these biases and uncertainties for the measurement of line-edge and linewidth roughness of lithographically produced features. The results show that ACF estimation is problematic, but that HHCF estimation is a reasonable alternative to PSD analysis under conditions typical of linewidth roughness measurement in the semiconductor industry.
机译:测量粗糙度的频率响应有必要在许多应用程序中,导致的常用的功率谱密度(PSD)粗糙度。PSD的不确定性导致了一些探索自协方差函数(ACF)的使用height-height协方差函数(HHCF)代替。当应用于偏见和随机不确定性粗糙度测量,需要详细鉴定。推导和模拟的粗糙的边缘导致彻底的表征偏见和不确定性的测量直线边缘和线宽的粗糙度印刷生产特性。表明ACF估计是有问题的,但是HHCF估计是一个合理的选择PSD分析条件下的典型线宽粗糙度测量的半导体行业。

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