A metasurface-based direct-reading linear polarization analyzer

极化(电化学) 线极化 频谱分析仪 斯托克斯参量 光学 椭圆极化 物理 偏振旋转器 正交偏振光谱成像 激光器 化学 双折射 物理化学 散射
作者
Junlang Feng,Haijun Shou,Huanchang Lv,Jingwei Zhang,Zhong Lei Mei
出处
期刊:Physica Scripta [IOP Publishing]
卷期号:98 (10): 105523-105523
标识
DOI:10.1088/1402-4896/acf89f
摘要

Abstract Polarization state is one of the fundamental properties of electromagnetic (EM) wave, which has been widely investigated in fields of information encryption, remote sensing and multifunctional devices etc The existing methods for polarization detection are generally based on the measurement of Stokes parameters or the amplitude and phase difference between orthogonal components or polarization-dependent imaging. However, they generally requires post-possessing process to identify the polarization state or suffer from the shortcomings of limited detection states, which results in less intuitiveness and limited practical values of those methods. Here, we proposed a metasurface-based and direct-reading linear polarization analyzer, which could reveal the polarization angle of linearly incident plane wave in imaging way by utilizing geometric phase effect. Different linear polarization angles lead to the different positions of the brightest spot, and the polarization state of incident wave could be directly read out by comparing the position of the brightest spot and the index of reference spots above. Besides, this method could be generalized to simplify the process of detecting arbitrary polarization states, with which only the intensity ratio between orthogonal circularly polarized components needs to be measured. Moreover, a digital linear polarization analyzer is designed based on the similar method, which helps to reveal the linear polarization angle digitally and is much more straightforward for linear polarization detection. The proposed direct-reading linear polarization analyzer has the potential of being applied in fields of smart sensing and the development of human-computer interaction system etc.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Wang发布了新的文献求助10
2秒前
小二郎应助huanghhhh采纳,获得10
2秒前
伊帕尔发布了新的文献求助10
3秒前
斯文败类应助爱喝橘子汁采纳,获得10
3秒前
科研通AI2S应助科研通管家采纳,获得10
3秒前
labor完成签到,获得积分10
3秒前
领导范儿应助科研通管家采纳,获得10
3秒前
Hello应助科研通管家采纳,获得10
3秒前
3秒前
轨迹应助科研通管家采纳,获得10
3秒前
轨迹应助科研通管家采纳,获得30
3秒前
3秒前
传奇3应助科研通管家采纳,获得50
3秒前
emptyyy完成签到,获得积分10
3秒前
xin完成签到,获得积分10
4秒前
5秒前
6秒前
6秒前
CipherSage应助李孟林采纳,获得10
6秒前
Daisy发布了新的文献求助10
6秒前
6秒前
7秒前
emptyyy发布了新的文献求助50
7秒前
情怀应助小羊采纳,获得10
8秒前
跳跃小伙发布了新的文献求助10
8秒前
8秒前
无花果应助Jonathan采纳,获得10
9秒前
zhang发布了新的文献求助10
11秒前
huairenzhao完成签到 ,获得积分10
12秒前
饱满羊青发布了新的文献求助10
12秒前
15秒前
大意的盼曼完成签到,获得积分10
16秒前
runrunner发布了新的文献求助10
16秒前
17秒前
18秒前
WX完成签到,获得积分10
18秒前
小蘑菇应助xiao采纳,获得10
18秒前
烟花应助王铭轩采纳,获得10
19秒前
充电宝应助taozi采纳,获得50
20秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366234
求助须知:如何正确求助?哪些是违规求助? 8180200
关于积分的说明 17244996
捐赠科研通 5421014
什么是DOI,文献DOI怎么找? 2868296
邀请新用户注册赠送积分活动 1845473
关于科研通互助平台的介绍 1692930