Monte Carlo simulation of the field back-scattered from rough surfaces

Delacrétaz, Yves; Seydoux, Olivier; Chamot, Stéphane R.; Ettemeyer, Andreas; Depeursinge, Christian

doi:10.1364/josaa.29.000270

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…It has been widely used in the remote sensing of thermal temperature of sea surfaces [35]. In the literature, numerical techniques have been used for studying scattering from rough surfaces, including finite difference time domain (FDTD) [20], finite element method (FEM) [56], method of moments and T-Matrix methods [13,14,15], and Monte Carlo approaches [57]. The SPM/SSA technique used in this manuscript offers advantages for the problems that we address.…”

Section: Computational Methodologymentioning

confidence: 99%

Surface Roughness Effects on the Broadband Reflection for Refractory Metals and Polar Dielectrics

Cao

Şendur

2019

Materials

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Random surface roughness and surface distortions occur inevitably because of various material processing and fabrication techniques. Tailoring and smoothing the surface roughness can be especially challenging for thermomechanically stable materials, including refractory metals, such as tungsten (W), and polar dielectrics, such as silicon carbide (SiC). The spectral reflectivity and emissivity of surfaces are significantly impacted by surface roughness effects. In this paper, we numerically investigated the surface roughness effects on the spectral reflectivity and emissivity of thermomechanically stable materials. Based on our results, we determined that surface roughness effects are strongly impacted by the correlation length of the Gaussian surface. In addition, our results indicate that surface roughness effects are stronger for the materials at the epsilon-near-zero region. Surface roughness effects are stronger between the visible and infrared spectral region for W and around the wavelength of 12 μm for SiC, where plasma frequency and polar resonance frequency are located.

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Section: Computational Methodologymentioning

confidence: 99%

Surface Roughness Effects on the Broadband Reflection for Refractory Metals and Polar Dielectrics

Cao

Şendur

2019

Materials

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The quantitative relationship between the target surface speckle phase echo parameters and heterodyne efficiency

Liu

Zeng

Cao

et al. 2019

Optics Communications

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Modeling the Heterodyne Efficiency of Array Detector Systems in the Presence of Target Speckle

et al. 2019

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To solve the speckle effect problem in heterodyne detection, an array detector is proposed; heterodyne efficiency is modeled by accounting for speckle and using an additional parameter to simulate coherent summation processing. Heterodyne efficiency is derived by mixing a Monte Carlo simulated speckle field with a planar local oscillator field on a photodetector surface to evaluate the array detector performance at improving signalto-noise ratio (SNR) of the coherent optical system. From the simulation results, the array detector is shown to effectively improve the SNR of the heterodyne system. For low SNR, the heterodyne efficiency of an N × N array detector increases linearly with N.

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Monte Carlo simulation of the field back-scattered from rough surfaces

Cited by 4 publications

References 15 publications

Surface Roughness Effects on the Broadband Reflection for Refractory Metals and Polar Dielectrics

Surface Roughness Effects on the Broadband Reflection for Refractory Metals and Polar Dielectrics

The quantitative relationship between the target surface speckle phase echo parameters and heterodyne efficiency

Modeling the Heterodyne Efficiency of Array Detector Systems in the Presence of Target Speckle

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