Polarization-multiplexed snapshot lateral shearing interferometric sensor for surface roughness measurements

Hyo Mi Park, Luke D. Mayer, Daewook Kim, Ki Nam Joo

Research output: Contribution to journalArticlepeer-review

Abstract

A compact optical roughness measurement sensor based on lateral shearing interferometry is theoretically described and experimentally verified. By adopting the advanced surface roughness parameter extraction methods based on statistical machine learning technique and the partial integration approach, the sensor using a polarization grating and a polarization camera can instantaneously obtain a surface gradient map and provide reliable surface roughness parameters. To verify the operation and the performance of the sensor, a flat mirror and roughness standard specimens were measured, and the results were compared with those of a white light scanning interferometer as the reference values. As a result, the roughness parameters were very close to the reference values with <5 nm accuracy and <0.1 nm repeatability.

Original languageEnglish (US)
Article number108272
JournalOptics and Lasers in Engineering
Volume179
DOIs
StatePublished - Aug 2024

Keywords

  • Lateral shearing interferometer
  • Machine learning
  • Partial integration
  • Polarization grating
  • Surface gradient
  • Surface roughness

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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