Lattice Resonances Excited by Finite-Width Light Beams
| Autor: | Lauren Zundel, Juan R. Deop-Ruano, Rosario Martinez-Herrero, Alejandro Manjavacas |
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| Přispěvatelé: | Fundación BBVA, Agencia Estatal de Investigación (España), Department of Energy (US), University of New Mexico |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | ACS omega. 7(35) |
| ISSN: | 2470-1343 |
| Popis: | Artículo con 6 figuras Periodic arrays of metallic nanostructures support collective lattice resonances, which give rise to optical responses that are, at the same time, stronger and more spectrally narrow than those of the localized plasmons of the individual nanostructures. Despite the extensive research effort devoted to investigating the optical properties of lattice resonances, the majority of theoretical studies have analyzed them under plane-wave excitation conditions. Such analysis not only constitutes an approximation to realistic experimental conditions, which require the use of finite-width light beams, but also misses a rich variety of interesting behaviors. Here, we provide a comprehensive study of the response of periodic arrays of metallic nanostructures when excited by finite-width light beams under both paraxial and nonparaxial conditions. We show how as the width of the light beam increases, the response of the array becomes more collective and converges to the plane-wave limit. Furthermore, we analyze the spatial extent of the lattice resonance and identify the optimum values of the light beam width to achieve the strongest optical responses. We also investigate the impact that the combination of finite-size effects in the array and the finite width of the light beam has on the response of the system. Our results provide a solid theoretical framework to understand the excitation of lattice resonances by finite-width light beams and uncover a set of behaviors that do not take place under plane-wave excitation. This work was sponsored by a Leonardo Grant for Researchers in Physics from the BBVA Foundation. The authors also acknowledge support from Grant Nos. PID2019-104268GB-C21 and PID2019-109502GA-I00 funded by MCIN/AEI/10.13039/501100011033 as well as the U.S. National Science Foundation (Grant No. DMR-1941680). L.Z. acknowledges support from the Department of Energy Computational Science Graduate Fellowship (Grant No. DE-SC0020347). J.R.D.-R. acknowledges a predoctoral fellowship from the MCIN/AEI assigned to Grant No. PID2019-109502GA-I00. We also thank the UNM Center for Advanced Research Computing, supported in part by the U.S. National Science Foundation, for providing some of the computational resources used in this work. |
| Databáze: | OpenAIRE |
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