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author:

Guo, Cuixia (Guo, Cuixia.) [1] | Wang, Bin (Wang, Bin.) [2] | Zhang, Hongjian (Zhang, Hongjian.) [3] | Liu, Yu (Liu, Yu.) [4] | Huang, Feng (Huang, Feng.) [5]

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Abstract:

Scattering particles in nature often have complex structures and shapes, which poses a great challenge to study the optical transport in scattering media. This paper proposes what we believe to be a novel Monte Carlo simulation approach based on the finite-difference time-domain (FDTD), capable of modeling the transmission characteristics of light fields, including intensity and polarization, in complex scattering media composed of asymmetric, polydisperse particles. This method overcomes the limitations of conventional Monte Carlo methods that rely on Mie scattering with spherical particles, which are insufficient for accurately simulating the depolarization characteristics of light fields in anisotropic scattering media composed of complex particles. In order to verify the feasibility of this method, the oil smoke scattering model was established for the oil smoke scattering medium. The approximate consistency between the simulation results of the depolarization characteristics and the experimental measurement results verified the effectiveness of this method in simulating the light field intensity and depolarization characteristics in scattering media composed of complex particles. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Keyword:

Anisotropic media Depolarization Finite difference time domain method Intelligent systems Light transmission Smoke

Community:

  • [ 1 ] [Guo, Cuixia]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Wang, Bin]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Zhang, Hongjian]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Liu, Yu]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Huang, Feng]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

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Source :

Optics Express

Year: 2025

Issue: 19

Volume: 33

Page: 39623-39634

3 . 2 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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