Categorizing coalescing quasinormal modes through far-field scattering patterns

Resonances in the form of quasinormal modes (QNMs) for open scattering systems can be generally identified in the far field through peaks of scattering spectra (e.g. cross sections of scattering, extinction, and absorption). Nevertheless, when the resonant frequencies of different QNMs are spectrally overlapped or sufficiently close, the scattering peaks merge and it then becomes extremely challenging to reveal the mode constituents underlying the scattering spectra solely in the far field. Here in this paper, we study open systems scattering electromagnetic plane waves, and reveal that spectrally close or even overlapped QNMs can be selectively excited through tuning incident directions and polarizations. Such a far-field technique can be further applied to categorize the nature of degenerate QNMs sharing identical complex eigenfrequencies (coalescent eigenvalues): at effectively Hermitian degeneracies (conical or Dirac points), the eigenvectors are not coalescent and thus the QNMs can still be selectively excited, producing distinct scattering patterns, while for non-Hermitian degeneracies (exceptional points) eigenvectors also coalesce and thus selective QNM excitation does not exist, leading to invariant scattering patterns. Our technique sheds light on the borderlands of Mie theory, QNMs, non-Hermitian photonics, and singular optics, which can empower new explorations and applications and cross-fertilize all those disciplines.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-03-31
DOI
https://doi.org/10.1103/physreva.111.033534
Citations
1
Primary Topic
Random lasers and scattering media
Type
article
Field-Weighted Citation Impact
1.30

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article

Categorizing coalescing quasinormal modes through far-field scattering patterns

Jingwei Wang, Wei Liu, Yuntian Chen
1 citations
Physical review. A/Physical review, A
Random lasers and scattering media
1.30
article

Categorizing coalescing quasinormal modes through far-field scattering patterns

Jingwei Wang, Wei Liu, Yuntian Chen
article en
1 citations

Abstract

Resonances in the form of quasinormal modes (QNMs) for open scattering systems can be generally identified in the far field through peaks of scattering spectra (e.g. cross sections of scattering, extinction, and absorption). Nevertheless, when the resonant frequencies of different QNMs are spectrally overlapped or sufficiently close, the scattering peaks merge and it then becomes extremely challenging to reveal the mode constituents underlying the scattering spectra solely in the far field. Here in this paper, we study open systems scattering electromagnetic plane waves, and reveal that spectrally close or even overlapped QNMs can be selectively excited through tuning incident directions and polarizations. Such a far-field technique can be further applied to categorize the nature of degenerate QNMs sharing identical complex eigenfrequencies (coalescent eigenvalues): at effectively Hermitian degeneracies (conical or Dirac points), the eigenvectors are not coalescent and thus the QNMs can still be selectively excited, producing distinct scattering patterns, while for non-Hermitian degeneracies (exceptional points) eigenvectors also coalesce and thus selective QNM excitation does not exist, leading to invariant scattering patterns. Our technique sheds light on the borderlands of Mie theory, QNMs, non-Hermitian photonics, and singular optics, which can empower new explorations and applications and cross-fertilize all those disciplines.

Physical review. A/Physical review, AVol. 111(3)
National University of Defense Technology (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, National University of Defense Technology
Climate action
Openalex Percentile: Top 23%
Random lasers and scattering media
1.30
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Categorizing coalescing quasinormal modes through far-field scattering patterns — Jingwei Wang, Wei Liu, et al. · Physical review. A/Physical review, A (2025) | TGRS Research Map | TGRS