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28 September 2022 Simulating the radiation loss of superconducting submillimeter wave filters and transmission lines using Sonnet em
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Abstract

Superconducting resonators and transmission lines are fundamental building blocks of integrated circuits for millimeter-submillimeter (mm-submm) astronomy. Accurate simulation of radiation loss from the circuit is crucial for the design of these circuits because radiation loss increases with frequency, and can thereby deteriorate the system performance. Here, we show a stratification for a 2.5-dimensional method-of-moment simulator Sonnet em that enables accurate simulations of the radiative resonant behavior of submm-wave coplanar resonators and straight coplanar waveguides. The Sonnet simulation agrees well with the measurement of the transmission through a coplanar resonant filter at 374.6 GHz. Our Sonnet stratification utilizes artificial lossy layers below the lossless substrate to absorb the radiation, and we use co-calibrated internal ports for de-embedding. With this type of stratification, Sonnet can be used to model superconducting mm-submm wave circuits even when radiation loss is a potential concern.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Akira Endo, Alejandro Pascual Laguna, Sebastian Hähnle, Kenichi Karatsu, David J. Thoen, Vignesh Murugesan, and Jochem J. A. Baselmans "Simulating the radiation loss of superconducting submillimeter wave filters and transmission lines using Sonnet em," Journal of Astronomical Telescopes, Instruments, and Systems 8(3), 036005 (28 September 2022). https://doi.org/10.1117/1.JATIS.8.3.036005
Received: 12 October 2021; Accepted: 9 September 2022; Published: 28 September 2022
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Resonators

Superconductors

Optical filters

Extremely high frequency

Device simulation

Inductance

Metals

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