中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Applicability of improved Rayleigh-Sommerfeld method 1 in analyzing the focusing characteristics of cylindrical microlenses

文献类型:期刊论文

作者Liu, J ; Gu, BY ; Ye, JS ; Dong, BZ
刊名OPTICS COMMUNICATIONS
出版日期2006
卷号261期号:1页码:187
关键词DIFFRACTIVE OPTICAL-ELEMENTS LENSES
ISSN号0030-4018
通讯作者Liu, J: Beijing Jiaotong Univ, Sch Elect & Informat Engn, Inst Lightwave Technol, Beijing 100044, Peoples R China.
中文摘要The applicability of an improved Rayleigh-Sommerfeld method 1 (IRSM1) is investigated by analyzing the focal characteristics of various cylindrical microlenses in both cases of the TE and TM polarizations. The IRSM1 and original Rayleigh-Sommerfeld method 1 (ORSM1) are compared with rigorous boundary element method (BEM) by calculating the average square-root deviation (ASRD) of the intensity distribution on the focal plane for the continuously refractive microlens and diffractive microlenses with continuously varying or 8-level quantized profiles. The results indicate that the applicability of the IRSM1 has limitation in some parametric ranges, for instance, the number of sampling points, f-number, relatively refractive index.. and wavelength of the incident light are restricted to some appropriate values. (C) 2005 Elsevier B.V. All rights reserved.
收录类别SCI
语种英语
公开日期2013-09-17
源URL[http://ir.iphy.ac.cn/handle/311004/33908]  
专题物理研究所_物理所公开发表论文_物理所公开发表论文_期刊论文
推荐引用方式
GB/T 7714
Liu, J,Gu, BY,Ye, JS,et al. Applicability of improved Rayleigh-Sommerfeld method 1 in analyzing the focusing characteristics of cylindrical microlenses[J]. OPTICS COMMUNICATIONS,2006,261(1):187.
APA Liu, J,Gu, BY,Ye, JS,&Dong, BZ.(2006).Applicability of improved Rayleigh-Sommerfeld method 1 in analyzing the focusing characteristics of cylindrical microlenses.OPTICS COMMUNICATIONS,261(1),187.
MLA Liu, J,et al."Applicability of improved Rayleigh-Sommerfeld method 1 in analyzing the focusing characteristics of cylindrical microlenses".OPTICS COMMUNICATIONS 261.1(2006):187.

入库方式: OAI收割

来源:物理研究所

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