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Related Experiment Video

Updated: Jul 15, 2026

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
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The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

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Model-based far-field alignment algorithm for Gaussian beamlike single-mode optical devices.

Yves St-Amant1, Daniel Gariépy, Denis Rancourt

  • 1Mechanical Engineering Department, Université Laval, Québec, Quebec, Canada. yves.st-amant@gmc.ulaval.ca

Applied Optics
|April 7, 2007
PubMed
Summary

This study introduces a novel model-based approach for automated fiber optic alignment, identifying optical power characteristics to estimate misalignments. This method offers a new way to improve device-to-fiber coupling efficiency.

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Area of Science:

  • Optics and Photonics
  • Optical Engineering
  • Fiber Optics Communications

Background:

  • Automated single-mode device-to-fiber alignment typically relies on classical mathematical optimization.
  • Existing methods can be complex and computationally intensive.

Purpose of the Study:

  • To present a novel model-based approach for automated fiber optic alignment.
  • To estimate residual axial, transverse, and angular misalignments using intrinsic optical power characteristics.

Main Methods:

  • Developed a model-based approach leveraging the physical nature of optical coupling.
  • Utilized identification of intrinsic characteristics of coupled optical power.
  • Estimated misalignments in the far field.

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Last Updated: Jul 15, 2026

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Main Results:

  • The proposed model-based approach was experimentally validated.
  • The method accurately estimated axial, transverse, and angular misalignments.
  • Demonstrated successful alignment using two single-mode fibers as emitter and receiver.

Conclusions:

  • The new alignment approach can complement or replace existing automated methods.
  • This method offers a physically grounded alternative for device-to-fiber alignment.
  • Validated experimental results confirm the efficacy of the model-based approach.