The impact of material properties and surface roughness on coherent detection

IF 3.5 2区工程技术 Q2 OPTICS

Optics and Lasers in Engineering Pub Date : 2025-04-11 DOI:10.1016/j.optlaseng.2025.109011

Pengfei Yang, Yanhui Li, Ying Zou, Yi Luo

引用次数: 0

Abstract

This study presents a coherent detection model using the Kirchhoff approximation, accounting for the effect of target materials. Theoretical analyses compared detection performance for copper, zinc, and iron, and examined the effects of varying roughness and incident angles on iron. Experimental results confirmed that copper had the strongest signal and iron the weakest. Signal intensity stabilized at a certain roughness level, and increased incident angles reduced intensity and shifted the peak to the right. The model's theoretical and experimental results align, significantly enhancing coherent detection accuracy.

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材料特性和表面粗糙度对相干检测的影响

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Optics and Lasers in Engineering 工程技术-光学

CiteScore

8.90

自引率

8.70%

发文量

384

审稿时长

42 days

期刊介绍： Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques