Spatially resolved surface topography retrieved from far-field intensity scattering measurements

Area of Science:

• Optics and Photonics
• Materials Science
• Surface Metrology

Background:

• Accurate surface topography and roughness characterization are crucial for material performance.
• Traditional methods can be slow or limited in defect detection.
• Angle-resolved light scattering (ARLS) offers potential for non-contact surface analysis.

Purpose of the Study:

• To develop and validate a rapid, high-throughput method for surface topography reconstruction and defect cancellation.
• To extract quantitative surface parameters like roughness and slopes from scattering data.
• To demonstrate the capability of the method using spectral analysis.

Main Methods:

• Implementation of a far-field optical setup for simultaneous recording of 1 million intensity angle-resolved-light-scattering patterns.
• Utilizing spectral analysis on the acquired scattering data.
• Developing algorithms to reconstruct surface topography and compensate for local defects.

Main Results:

• Successful reconstruction of surface topography with high fidelity.
• Effective cancellation of local defects in the reconstructed topography.
• Quantitative mapping of surface roughness and slopes, considering the spectral bandpass.

Conclusions:

• The developed fast ARLS method enables efficient and accurate surface topography and roughness analysis.
• The technique is robust against local surface defects, providing reliable metrology.
• This approach advances non-contact surface characterization for various scientific and industrial applications.