Mode Recognition by Shape Morphing for Maxwell's Eigenvalue Problem

Author name not available (Why is that?)

Publication date: 1 March 2022

Abstract: In electrical engineering, for example during the design of superconducting radio-frequency cavities, eigenmodes must be identified based on their field patterns. This allows to understand the working principle, optimize the performance of a device and distinguish desired from parasitic modes. For cavities with simple shapes, the eigenmodes are easily classified according to the number of nodes and antinodes in each direction as is obvious from analytical formulae. For cavities with complicated shapes, the eigenmodes are determined numerically. Thereby, the classification is cumbersome, if not impossible. In this paper, we propose a new recognition method by morphing the cavity geometry to a pillbox and tracking its eigenmodes during the deformation.

Has companion code repository: https://github.com/amz78/mode-recgonition

Mathematics Subject Classification ID

No records found.

This page was built for publication: Mode Recognition by Shape Morphing for Maxwell's Eigenvalue Problem

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6392473)