Device modeling of superconductor transition edge sensors based on the two-fluid theory
Tian-Shun Wang, Guang-Can Guo, Qing-Feng Zhu, Jun-Xian Wang, Tie-Fu, Li, Jian-She Liu, Wei Chen, and Xingxiang Zhou

TL;DR
This paper develops a comprehensive device model for superconductor transition edge sensors based on the two-fluid theory, enabling accurate large-scale circuit simulations and aiding TES design.
Contribution
It introduces a non-small-signal device model based on physical parameters, integrated into EDA tools, improving TES circuit simulation accuracy and design efficiency.
Findings
Good agreement between simulations and experimental data
Model supports large-scale TES circuit design
Enables reliable prediction of TES behavior
Abstract
In order to support the design and study of sophisticated large scale transition edge sensor (TES) circuits, we use basic SPICE elements to develop device models for TESs based on the superfluid-normal fluid theory. In contrast to previous studies, our device model is not limited to small signal simulation, and it relies only on device parameters that have clear physical meaning and can be easily measured. We integrate the device models in design kits based on powerful EDA tools such as CADENCE and OrCAD, and use them for versatile simulations of TES circuits. Comparing our simulation results with published experimental data, we find good agreement which suggests that device models based on the two-fluid theory can be used to predict the behavior of TES circuits reliably and hence they are valuable for assisting the design of sophisticated TES circuits.
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