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- W2030901830 abstract "For monitoring processes of semi conductor or optical industry automatically, stray light sensors are employed for a fast surface san to measure rms, defects, and contamination on surfaces. Surfaces can be characterized by the BRDF. The BRDF is parametrized to classify different surfaces. Classification may be done with various pattern recognition tools, but up to now no proof exists that justifies any choice of classes found empirically. Of course, a basic quantitative, i.e. metrological understanding of stray light sensors is necessary, which could successfully be obtained after comparing BRDFs evaluated from AFM topography scans with smooth surfaces. The power spectrum of surface topographies sufficiently smooth to obey Rayleigh-Rice approximation is proportional to the BRDF. Surfaces obeying this approximation, however, may not include defects and contamination with lateral sizes smaller than the wavelength of the illuminating light employed in the stray light sensor. Thus the comparison was only carried out with specially prepared samples. We have measured the topography of large areas up to 600 micrometer X 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." @default.
- W2030901830 created "2016-06-24" @default.
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- W2030901830 date "1998-10-30" @default.
- W2030901830 modified "2023-09-23" @default.
- W2030901830 title "<title>Comparison of PSD measurements using stray light sensors with PSD curves evaluated from topography of large AFM scans</title>" @default.
- W2030901830 doi "https://doi.org/10.1117/12.328475" @default.
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