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Related Experiment Video

Updated: Jun 10, 2026

Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments
11:47

Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments

Published on: February 27, 2013

Optical diagnostics of slightly rough surfaces.

O V Angelsky, P P Maksimyak

    Applied Optics
    |August 19, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for diagnosing rough surfaces by analyzing the relationship between surface statistical parameters and scattered field correlations. It offers high sensitivity for measuring surface height variations.

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    Published on: December 1, 2014

    Area of Science:

    • Optics and Photonics
    • Surface Science
    • Metrology

    Background:

    • Surface roughness significantly impacts optical scattering properties.
    • Characterizing micro-scale surface topography is crucial for various applications.
    • Existing methods may lack sensitivity or applicability to specific surface types.

    Purpose of the Study:

    • To develop a novel diagnostic method for rough surfaces.
    • To establish a link between surface statistical parameters and scattered field correlation parameters.
    • To enable precise measurement of surface topography.

    Main Methods:

    • Utilizing the model of a random phase object with inhomogeneity phase dispersion.
    • Analyzing the relationship between statistical structure parameters of rough surfaces and correlation parameters of the scattered field.
    • Applying the method to surfaces with roughness periods comparable to radiation wavelengths.

    Main Results:

    • A diagnostic method for rough surfaces was successfully developed.
    • The method demonstrates applicability to thin plane-parallel plates.
    • A high sensitivity limit of approximately 0.003 micrometers was achieved for measuring the standard deviation of surface-roughness element heights.

    Conclusions:

    • The proposed method provides an effective approach for rough-surface diagnostics.
    • The technique is suitable for surfaces with specific roughness characteristics and thin plates.
    • The high sensitivity achieved advances the field of surface metrology.