The emerging technology of visible light communications (VLC) will provide a new modality of communication. This technology uses illumination lighting to carry information. We propose to add a smart capability to mitigate interferences from unwanted light sources. This is achieved by adaptively filtering interference light using a tunable filter to block interferences dynamically. In this Letter, we present an innovative concept for a tunable notch filter based on ferroelectric thin films embedded with noble metal nanoparticles. The adaptivity of the filter is achieved by controlling the external applied voltage. This voltage creates an electric field that changes the refractive index of the host film through the linear electro-optic effect. Moreover, the fundamental characteristics of the filter are determined by the layer's parameters, such as film thickness, nanoparticles concentration and geometry, and the material of both the host thin film and nanoparticles. We study the tunability of lead zirconate titanate (PZT) embedded with Ag nanoparticles that reaches approximately 50 nm, between 530 and 590 nm. Moreover, we showed that a PZT notch filter embedded with Ag nanoshells has its stop band shifted to shorter wavelengths. These tunable filters can be used as mode selectors inside a laser resonator, spatial light filters for imaging and communication both for VLC and infrared communication.
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http://dx.doi.org/10.1364/OL.39.004954 | DOI Listing |
Data Brief
February 2025
Institute for Geography, Leipzig University, Johannisallee 19a, Leipzig, 04103, Germany.
This data set includes the spatial model of the thickness and distribution of fine-grained floodplain deposits in the Leipzig floodplain area. The data set originates from borehole records provided by the Saxon State Office for Environment, Agriculture, and Geology [1]. The data processing involved the categorization of the stratigraphic descriptions of the borehole logs.
View Article and Find Full Text PDFA polarization-independent dual-peak narrow-band filter is proposed and demonstrated theoretically and experimentally, which is realized by using a helical long-period fiber grating (HLPG) but with a period small down to tens of micrometers. Unlike those excessively tilted fiber gratings (Ex-TFGs) or the conventional long-period fiber gratings (LPGs) but with a small period down to tens of micrometers where the generated dual-peak pairs (DPPs) are all of the strong polarization-dependence, the DPPs obtained in this study are of the polarization-independent, which is the first time, to the best of our knowledge, that the underlying mechanism for generation of the polarization-independent DPPs in transmission spectrum of the helical small-period fiber grating (HSPFG) has been revealed both theoretically and experimentally.
View Article and Find Full Text PDFWave mixing (WM) techniques are crucial for applications such as supercontinuum generation, frequency conversion, and high-dimensional quantum encoding. However, their efficiency is often limited by complex phase-matching requirements, and current insights into phase-matching mechanisms for high-order WM remain limited. To address this, compact optical path configurations with high-peak-power, synchronous, multicolor ultrafast laser sources are needed to enhance high-order wave-mixing efficiency.
View Article and Find Full Text PDFIn the realm of 3D measurement, photometric stereo excels in capturing high-frequency details but suffers from accumulated errors that lead to low-frequency distortions in the reconstructed surface. Conversely, light field (LF) reconstruction provides satisfactory low-frequency geometry but sacrifices spatial resolution, impacting high-frequency detail quality. To tackle these challenges, we propose a photometric stereoscopic light field measurement (PSLFM) scheme that harnesses the strengths of both methods.
View Article and Find Full Text PDFLensless imaging offers a lightweight, compact alternative to traditional lens-based systems, ideal for exploration in space-constrained environments. However, the absence of a focusing lens and limited lighting in such environments often results in low-light conditions, where the measurements suffer from complex noise interference due to insufficient capture of photons. This study presents a robust reconstruction method for high-quality imaging in low-light scenarios, employing two complementary perspectives: model-driven and data-driven.
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