利用多普勒展宽来研究原子腔中巨大的光子自旋霍尔位移

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Fazal Badshah, Dong-Yan Lü, Yuan Zhou, Anwar Ali Khan, Zeeshan Ali, Ziauddin
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引用次数: 0

摘要

研究了电致透明(EIT)条件下具有三能级原子介质的光学腔中水平和垂直极化光子自旋霍尔效应(PSHE)。分析了多普勒展宽效应(DBE)的存在和不存在,发现DBE在显著增强PSHE中起着至关重要的作用。值得注意的是,在DBE作用下,水平PSHE达到δ+h≈−3300λ。此外,我们系统地研究了在DBE存在的情况下,腔壁的增益和损失的影响。我们的研究结果表明,平衡的增益-损失配置可以产生更大的增强,实现δ+h≈4000λ。垂直极化PSHE在DBE和平衡增益损耗条件下也表现出较大的放大。这些发现为定制自旋依赖的光-物质相互作用提供了新的见解,并为设计具有可控自旋霍尔位移的先进光子器件提供了一条有希望的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harnessing Doppler broadening for giant photonic spin Hall shifts in an atomic cavity
We investigate the horizontal and vertical polarized photonic spin Hall effect (PSHE) in an optical cavity having a three-level atomic medium under electromagnetically induced transparency (EIT). Both the absence and presence of Doppler broadening effect (DBE) are analyzed, revealing that DBE plays a crucial role in significantly enhancing the PSHE. Remarkably, the horizontal PSHE reaches values as large as δ+h3300λ under DBE. Furthermore, we systematically examine the impact of gain and loss in the cavity walls in the presence of DBE. Our results show that a balanced gain–loss configuration gives rise to an even greater enhancement, achieving δ+h4000λ. The vertical polarized PSHE also exhibits substantial amplification under the combined influence of DBE and balanced gain–loss conditions. These findings provide new insights into tailoring spin-dependent light–matter interactions and offer a promising route for designing advanced photonic devices with controllable spin Hall shifts.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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