Phase wavefront perturbation calculation model for spectroscopic refractive index matching of hybrid materials
Autor: | Junfeng Zhu, Shuxuan Liu, Yiqin Xu, Jingchao Xing, Boqian Chen, Zhiliang Gu, Zhiqing Zhang, Chenxi Zhao, Atsushi Harada, Hiroaki Yoshioka, Yuji Oki |
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Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Applied Optics. 62:3330 |
ISSN: | 2155-3165 1559-128X |
DOI: | 10.1364/ao.486863 |
Popis: | A low-cost flexible spectroscopic refractive index matching (SRIM) material with bandpass filtering properties without incidence angle and polarization dependence by randomly dispersing inorganic CaF2 particles in organic polydimethylsiloxane (PDMS) materials was proposed in our previous study. Since the micron size of the dispersed particles is much larger than the visible wavelength, the calculation based on the commonly used finite-difference time-domain (FDTD) method to simulate light propagation through the SRIM material is too bulky; however, on the other hand, the light tracing method based on Monte Carlo theory in our previous study cannot adequately explain the process. Therefore, a novel approximate calculation model, to the best of our knowledge, based on phase wavefront perturbation is proposed that can well explain the propagation of light through this SRIM sample material and can also be used to approximate the soft scattering of light through composite materials with small refractive index differences, such as translucent ceramics. The model simplifies the complex superposition of wavefront phase disturbances and the calculation of scattered light propagation in space. The scattered and nonscattered light ratios; the light intensity distribution after transmission through the spectroscopic material; and the influence of absorption attenuation of the PDMS organic material on the spectroscopic performance are also considered. The simulation results based on the model are in great agreement with the experimental results. This work is important to further improve the performance of SRIM materials. |
Databáze: | OpenAIRE |
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