| Issue |
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
|
|
|---|---|---|
| Article Number | 00091 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/e3sconf/202346900091 | |
| Published online | 20 December 2023 | |
Electromagnetic Filtering with High Performance by one Dimensional Defective Comb-Like Waveguides Structure Using the Transfer Matrix
1 Laboratory of Materials, Waves, Energy and Environment, Team of Waves, Acoustic, Photonic, and Materials, Faculty of Sciences, Mohamed Frist University, Oujda, Morocco.
2 Laboratory of Computer Science and Interdisciplinary Physics, ENSF, Sidi Mohamed Ben Abdellah University, Fez, Morocco
* e-mail: tariktouiss22@gmail.com
In this paper, we study the propagation of electromagnetic waves in 1D photonic comb-like waveguides (CWGs) structure. This CWGs structure is constituted by a periodicity of segments of length d1 and grafted in each site by one resonator of length d2. This system creates the pass bands separated by large photonic band gaps where the electromagnetic waves cannot propagate. Our study focuses on the impact of a geometrical defect on the transmission spectrum. The creation of a defect of length d02 at the resonator in a perfect structure makes it possible to identify localized modes (defect modes) in the bandgaps. In this research, we demonstrate that a single defect at the resonator can lead to the filtering of two or more frequencies. The analytical calculation is performed using the transfer matrix method. This method aims to calculate the dispersion relation and the transmission rate. This structure has potential applications as an electromagnetic guiding, filtering and demultiplexing.
Key words: Photonic / Defect modes / Comb-like waveguides / Filter / Transfer matrix
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.