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Investigations of smooth surfaces by measuring the BRDF with a stray light sensor in comparison with PSD curves evaluated from topography of large AFM scans

机译:通过使用杂散光传感器测量BRDF与从大型AFM扫描的地形评估的PSD曲线进行比较来研究光滑表面

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Abstract: For quality inspection of polished surfaces as applied in semiconductor and optical industry, various methods are used for a fast detection of microroughness, defects, and contaminations. With the aid of stray light sensors the intensity distribution of the reflected and scattered light, i.e. the BRDF, is measured. The probability distribution of values of a BRDF is parametrized to obtain a measure for roughness and for classes of defects. There is still need for justifying the choice of statistical moments to characterize and finally to classify different surfaces. Of course, a basic quantitative, i.e. metrological understanding of stray light sensors is necessary. The power spectrum of surface topographies sufficiently smooth to obey Rayleigh-Rice approximation is proportional to the BRDF. Therefore a comparison was only carried out with sample surfaces obeying this approximation. Defects and contaminations with lateral sizes smaller than the wavelength of the illuminating light employed in the stray light sensor, however, could not be analyzed within this investigation. We have measured the topography of large areas up to 600 micrometer $MUL 100 micrometer with an AFM by patching several scans (up to 8) with overlap. BRDFs evaluated from AFM measurements agree well with BRDFs measured with a stray light sensor. !8
机译:摘要:为了对半导体和光学行业中使用的抛光表面进行质量检查,可以使用各种方法快速检测微观粗糙度,缺陷和污染。借助杂散光传感器,可以测量反射和散射光(即BRDF)的强度分布。对BRDF的值的概率分布进行参数化,以获得粗糙度和缺陷类别的度量。仍然需要证明选择统计矩来表征和最终分类不同的表面。当然,需要基本的定量,即对杂散光传感器的计量学了解。表面形貌的功率谱足够平滑以服从瑞利-莱斯近似,与BRDF成正比。因此,仅对遵循该近似的样品表面进行比较。横向的尺寸小于杂散光传感器中使用的照明光的波长的缺陷和污染,在此研究中无法进行分析。我们已经通过修补几次重叠的扫描(最多8次),测量了具有AFM的最大面积达600微米($ MUL 100微米)的大区域的地形。通过AFM测量评估得到的BRDF与使用杂散光传感器测量得到的BRDF非常吻合。 !8

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