2005
DOI: 10.1364/ao.44.005919
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Discrepancies between roughness measurements obtained with phase-shifting and white-light interferometry

Abstract: Discrepancies between phase-shifting and white-light interferometry have been observed in step-height and surface roughness measurements. The discrepancies have a strong relation to the roughness average parameter of the surface. The skewing effect, which mainly occurs in the vicinity of peaks, valleys, and edges of the sample, causes this problem in white-light interferometry of step height. For roughness, two possible sources of the discrepancy are considered.

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Cited by 47 publications
(29 citation statements)
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References 22 publications
(24 reference statements)
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“…[7][8][9][10][11][12][13][14][15][16][17][18][19] The effectiveness of a given method critically hinges on the appropriate choice of test surface. A successful test surface should be suitable for calibration over the entire instrumental field of view with a uniform sensitivity to the MTF over the entire spatial frequency range up to the Nyquist frequency of the instrument.…”
Section: Measured Psdmentioning
confidence: 99%
See 1 more Smart Citation
“…[7][8][9][10][11][12][13][14][15][16][17][18][19] The effectiveness of a given method critically hinges on the appropriate choice of test surface. A successful test surface should be suitable for calibration over the entire instrumental field of view with a uniform sensitivity to the MTF over the entire spatial frequency range up to the Nyquist frequency of the instrument.…”
Section: Measured Psdmentioning
confidence: 99%
“…Additionally, in order to be used as a certified standard, the MTF test surface should satisfy the conditions of ease of specification, reproducibility, and repeatability; and the accuracy of the MTF calibration should have a reasonably low sensitivity to possible fabrication imperfections of the surface. Most of the common test patterns used in MTF measurements, including knife-edge sources (step height standards), [7][8][9][10][11] bar targets, 12 sinusoidal surfaces, 13 periodic and quasiperiodic patterns, [14][15][16] white noise patterns 17 and random reference specimens 15,18 fail to meet all of these requirements. For a comprehensive review of standard reference specimens, see Ref.…”
Section: Measured Psdmentioning
confidence: 99%
“…It also provides a measure of the system MTF averaged over the entire extent of the aperture, rather than just in a very localized region around the height discontinuity of the single step artifact. 12,13 Particular methods for generation of maximum-length pseudo-random sequences [14][15][16] Similar to the requirement for maximum duty cycle of a pseudo-random chopper, the BPR grating has to be generated with a maximum filling factor for an improved signal-to-noise ratio of the PSD spectra of the test surface. The mathematical term for such a sequence is "maximumlength pseudo-random sequence" (MLPRS).…”
Section: Binary Pseudo-random Grating Propertiesmentioning
confidence: 99%
“…45,46 Reliability of the PSD data for these and other applications depends on experimental methods available for comprehensive characterization and calibration of the spatial frequency response of the metrology instruments in use. [47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65] There are also problems inherent in the statistical description of surface metrology data that we discuss in the next section.…”
Section: Introductionmentioning
confidence: 99%