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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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RPExpand

Authors: Betz, Fridtjof; Binkowski, Felix; Kuen, Lilli; Burger, Sven;
Abstract

Summary The software RPExpand is designed for efficient evaluations of electromagnetic quantities based on rational approximants whose summands can be attributed to eigenmodes of the physical system. Based on contour integration methods [1], eigenfrequencies are determined that, together with corresponding residues, are used to reconstruct the target quantity at any frequency inside the contour [2]. Furthermore, its zeros can be retrieved and, optionally, derivative information along the contour can be used to compute derivatives of eigenfrequencies and zeros [3,4]. The target quantity does not need to be linear in the electric or magnetic field but can be based on quadratic forms and derived from the far field [5]. The results can be visualized with a built-in plot function. For a comprehensive control of the error, expansions are compared to direct solutions at selected frequencies and to results with reduced numbers of integration points. The number of modes present in the spectral region of interest and coupling to the specified source can be large. Then, it can be preferable to use eigenvalues and corresponding normalized eigenvectors from external solvers to perform expansions based on quasinormal modes (QNMs) and polynomial interpolation [6]. The resulting modal contributions are equivalent to the residue based approach described above and quantities quadratic in the electric field can be expanded directly without cross terms [7]. One advantage of contour integral methods is parallelizability. This has been extensively exploited in the design of the interface to the finite element method (FEM) solver [JCMsuite](https://jcmwave.com/). The interface handles the parallel submission of jobs keeping the interaction with the solver as easy as possible while allowing advanced users to access its full range of functionalities. References [1] A. P. Austin et al., SIAM J. Numer. Anal. 52, 1795 (2014). [2] L. Zschiedrich et al., Phys. Rev. A 98, 043806 (2018). [3] F. Binkowski et al., Commun. Phys. 5, 202 (2022). [4] F. Binkowski et al., Phys. Rev. B 109, 045414 (2024). [5] F. Binkowski et al., Phys. Rev. B 102, 035432 (2020). [6] T. Wu et al., J. Opt. Soc. Am. A 38, 1224 (2021). [7] F. Betz et al., Phys. Status Solidi A 220, 2200892 (2023).

We acknowledge funding by the German Federal Ministry of Education and Research (BMBF Forschungscampus MODAL, project 05M20ZBM) and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - The Berlin Mathematics Research Center MATH+ (EXC-2046/1, project ID: 390685689). This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme (project 20FUN02 POLIGHT).

Related Organizations
Keywords

Riesz projection expansion, Non linear eigenvalue problem, Eigenvalue sensitivities, Quasi normal mode expansion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average