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Fast and accurate modal decomposition of multimode fiber based on stochastic parallel gradient descent algorithm.

Haibin Lü1, Pu Zhou, Xiaolin Wang

  • 1College of Optoelectric Science and Engineering, National University of Defense Technology, Changsha, China.

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Summary

Researchers developed a new method for full modal decomposition in multimode fibers. This technique accurately calculates all bound mode coefficients using a single intensity profile and a gradient descent algorithm.

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Area of Science:

  • Optics and Photonics
  • Fiber Optics
  • Computational Physics

Background:

  • Characterizing optical fields in multimode fibers is crucial for applications like optical communications and imaging.
  • Existing modal decomposition techniques can be complex and computationally intensive.
  • Accurate determination of mode coefficients is essential for understanding and controlling light propagation.

Purpose of the Study:

  • To present a novel and efficient approach for complete modal decomposition of optical fields in multimode fibers.
  • To enable exact calculation of all bound mode coefficients from a single intensity profile.
  • To validate the proposed method through numerical simulations.

Main Methods:

  • The study employs the stochastic parallel gradient descent algorithm.
  • The method utilizes a single intensity profile of the optical beam.
  • Modal decomposition is performed for all bound modes within the multimode fiber.

Main Results:

  • The proposed approach achieves complete modal decomposition.
  • Numerical simulations demonstrate the feasibility of the method.
  • The reconstructed error is consistently below 0.1%.
  • For a six-mode fiber, the computation time is approximately 2 seconds.

Conclusions:

  • The stochastic parallel gradient descent algorithm offers an effective solution for modal decomposition in multimode fibers.
  • This method provides accurate and rapid calculation of mode coefficients.
  • The technique has potential for real-time applications in fiber optics and related fields.