Pole-Expansion of the T-Matrix Based on a Matrix-Valued AAA-Algorithm
Jan David Fischbach, Fridtjof Betz, Lukas Rebholz, Puneet Garg, Kristina Frizyuk, Felix Binkowski, Sven Burger, Martin Hammerschmidt, Carsten Rockstuhl

TL;DR
This paper introduces a pole-expansion method for the T-matrix using a matrix-valued AAA-algorithm, enabling efficient and physically interpretable spectral analysis of scattering responses across frequencies.
Contribution
It presents a novel pole-expansion technique for the T-matrix based on a matrix-valued AAA-algorithm, reducing computational cost and improving spectral representation.
Findings
Efficient pole-expansion of T-matrix demonstrated on various scatterers.
Reduces computational cost compared to naive frequency sampling.
Provides open-source tools for the community.
Abstract
The transition matrix (T-matrix) is a complete description of an object's linear scattering response. As such, it has found wide adoption for the theoretical and computational description of multiple-scattering phenomena. In its original form, the T-matrix describes the interaction of a scatterer with a monochromatic source. In practice, however, information about the T-matrix is usually needed in an extended spectral domain. To access the frequency-dispersion, one might naively sample T-matrices over a finely resolved set of discrete frequencies and store one T-matrix per frequency. This approach has multiple drawbacks: it is computationally expensive, requires excessive memory, and it disregards the physical origin of the spectral features, weakening physical interpretability. To overcome these major limitations, we leverage a pole-expansion technique to represent the T-matrix with…
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Taxonomy
TopicsElectromagnetic Scattering and Analysis · Microwave Imaging and Scattering Analysis · Numerical methods in inverse problems
