研究目的
Investigating the three-dimensional cross correlation properties of speckle patterns in the deep Fresnel region to extract the roughness exponent of random surfaces.
研究成果
The study successfully derives the quantitative relationship between the longitudinal correlation function of speckles and the fractal characteristics of random surfaces, proposing a novel method to extract the roughness exponent. Experimental results show good agreement with AFM measurements, indicating high accuracy and potential for further applications in surface characterization.
研究不足
The method requires precise alignment and movement of the sample, and is limited to paraxial regions for simplicity. The theoretical derivation assumes specific conditions like Kirchhoff approximation and may not apply to all types of rough surfaces.
1:Experimental Design and Method Selection:
The study uses a microscopic imaging system to acquire speckle patterns in the deep Fresnel region, based on Kirchhoff approximation for theoretical derivation. The method involves moving the observation plane along the optical axis to capture patterns at different distances.
2:Sample Selection and Data Sources:
Ground glass samples (No. 1, No. 2, No. 3) are prepared by grinding holographic plates with silicon carbide powders. Surface morphology is measured using an atomic force microscope (AFM) for comparison.
3:List of Experimental Equipment and Materials:
Equipment includes a laser source (wavelength 532 nm), spatial filter, lenses (L1 and L2), microscope objective (Nikon, Dry, 100×, N.A. 0.9, WD 1 mm), 3D piezo nanometer stage (PI E516), CCD camera (Roper, Cascade 1k), and white light source for alignment.
4:9, WD 1 mm), 3D piezo nanometer stage (PI E516), CCD camera (Roper, Cascade 1k), and white light source for alignment. Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The surface sample is illuminated with a laser beam, and speckle patterns are recorded by the CCD at various deviating distances (up to 30 μm) from the object plane. Measurements are taken at five different transversal positions for each sample to ensure accuracy, and intensities are averaged.
5:Data Analysis Methods:
The longitudinal correlation function is calculated from the speckle patterns. Fourier transform of this function is computed, and linear fitting in the log-log scale of the large spectrum region is used to extract the roughness exponent.
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3D Piezo Nanometer Stage
E516
PI
Accurate positioning of the surface sample along the optical axis.
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Atomic Force Microscope
Autoprobe CP
PARK
Measuring surface morphology and parameters of ground glass samples.
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Microscope Objective
100×, N.A. 0.9, WD 1 mm
Nikon
Collecting spatial spectrum components scattered from the random surface.
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CCD Camera
Cascade 1k
Roper
Receiving and recording speckle patterns.
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Laser
Light source for illuminating the random surface.
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Spatial Filter
Filtering and expanding the laser beam.
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Lens
L1 and L2
Collimating laser beam and adjusting image magnification.
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White Light Source
Used for finding the accurate object plane during alignment.
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