Optik最新文献

Herein, we report the theoretical investigation on photonic nanojets (PNJs) of substrate-supported single-spherical dielectric microparticles. Conventional and reflective PNJs (CPNJs and RPNJs) are observed in the case of metal and dielectric substrates. The dependence of the maximum electric field intensity enhancement (η_max) of the CPNJs and RPNJs on the nanogap between the metal substrate and dielectric microsphere, the metal substrate's refractive indices, and the incident light's wavelength is studied. More importantly, the spatial separation between the CPNJs and RPNJs is found to be strongly dependent upon the angle of incidence (θ). A significant improvement in the EFIE is observed for the grazing incidence upon the superposition of CPNJ and RPNJ. The theoretical investigation is also performed by replacing the metal substrate with a dielectric substrate, and the results obtained are reported here for comparison. Finally, this investigation is extended for the dielectric microsphere placed on a thin metal film deposited on a dielectric substrate and studied the role of θ on the characteristic parameters of the CPNJs and RPNJs.

A novel antenna array with improved radiation characteristics using a series-feed technique is presented in this article. The antenna array has a size of 132 × 80 μm and is developed using Polytetrafluoroethylene (PTFE) with graphene as conductive material. The proposed antenna comprises a central microstrip line loaded with short slant radiating stubs. The bandwidth characteristics of the antenna are enhanced by loading the slant stubs with octagonal ring elements. The number of radiating stubs is increased to enhance the overall radiation characteristics. The proposed THz antenna operates from 3.8 THz to 5.3 THz offering a fractional bandwidth of 31 % with reference |S₁₁| ≤ −10 dB. In addition, a 1 × 2 antenna array with differential feeding is explored to improve the overall directionality of the antenna making it a viable solution for directional IoT systems. The estimated theoretical directivity is above 11 dBi and the total efficiency is greater than 75 % throughout the operating bandwidth. Furthermore, the multiple input and multiple output (MIMO) performance of the THz antenna is discussed. The proposed two-element has an intrinsic isolation of more than 40 dB. Owing to the enhanced bandwidth and radiation property, the proposed THz antenna is suitable for high data-rate 6 G Internet-of-things (IoT) communications.

An investigation for electronic, magnetic, and optical properties of Mn-doped ${\mathrm{ZnSnAs}}_2$ compound performed using advanced computational methods. Using spin-polarized density functional theory (DFT) calculations with local orbital linearized augmented plane wave (lo-LAPW) method and Tran–Blaha’s modified Becke–Johnson (TB-mBJ) functional, Mn-doped n-type chalcopyrite semiconductor ${\mathrm{ZnMn}}_x{\mathrm{Sn}}_{(1-x)}{\mathrm{As}}_2$, studied within varying Mn doping concentration range $0\le x\le 0.5$. Doping of Mn to Sn site in pure ${\mathrm{ZnSnAs}}_2$ creates a strong spin effect, which makes it useful spintronic materials. We observed with increase the Mn concentration in ${\mathrm{ZnSnAs}}_2$, energy bandgap changes while the magnetic strength of the unit cell remains unchanged, showing stability of system’s magnetism. Optical properties of the Mn doped ${\mathrm{ZnSnAs}}_2$ compounds analysed in term of dielectric function, absorption spectra, and refractive index. Optical properties show, compound is optically low active in the Infrared (IR) region and more active in visible and ultraviolet (UV) region. The electronic and optical properties of Mn-doped ${\mathrm{ZnSnAs}}_2$, offer potential technological advancements in semiconductor device design technology and engineering.

A background noise removal method based on averaging fractional Fourier domains is presented. The method is applied to Digital Lensless Holographic Microscopy (DLHM) intensity reconstructions, where the background is perturbed by the weak yet detrimental presence of information of the twin image. A set of fractional Fourier domains of a DLHM intensity reconstruction is computed and thereafter averaged leading to a sensible reduction of the background noise and, therefore, an increase in the overall contrast of the resulting image. The maximum reach of the fractional rotations used in the method is determined by measuring the spatial resolution in a regular star test target such that the spatial resolution is kept within the span of interest for a given application. The set of images to be averaged is composed of fractional rotations of the original intensity reconstruction that are smaller than the previously determined maximum reach. The number of fractional rotations that are finally averaged is determined by the sought increase in the contrast of the resulting image. Experimental samples of micrometer-sized objects and an intricate biological specimen have been used to validate the proposal.

Image super-resolution (SR) is the task of inferring a high resolution (HR) image from one/multiple single low resolution (LR) input(s). Traditional networks are evaluated by pixel-level metrics such as Peak-Signal-to-Noise Ratio (PSNR) etc., which do not always align with human perception of image quality. They often produce excessively smooth images that lack high-frequency texture and appear unnatural. Therefore, in this paper, we propose a lightweight adaptive residual dense attention generative adversarial network (SRARDA) for image SR. Firstly, our generator adopts the residual in residual (RIR) structure but redesigns the basic module. By using dynamic residual connection (ARC) to dynamically adjust the importance of residual and main paths, we design a novel adaptive residual dense attention block (ARDAB) that enhances the feature extraction capability of the generator. In addition, we build a high-frequency filtering unit (HFU) to extract more high-frequency features from the LR space. Finally, to fully utilize the discriminator, we use WGAN to compute the difference between the HR image and the reconstructed image. Experiments demonstrate that SRARDA effectively addresses the issue of excessive smoothing in reconstructed images, while also enhancing visual quality.