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Automation of Data Analysis Programs Used in the Cryogenic Characterization of Superconducting Microwave Resonators

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Advances in Cryogenic Engineering

Part of the book series: A Cryogenic Engineering Conference Publication ((ACRE,volume 41))

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Abstract

Knowledge of the microwave properties at cryogenic temperatures of components fabricated using High-Temperature-Superconductors (HTS) is useful in the design of HTS-based microwave circuits. Therefore, fast and reliable characterization techniques have been developed to study the aforementioned properties. In this paper, we discuss computer analysis techniques employed in the cryogenic characterization of HTS-based resonators. The revised data analysis process requires minimal user input, and organizes the data in a form that is easily accessible by the user for further examination. These programs retrieve data generated during the cryogenic characterization at microwave frequencies of HTS based resonators and use it to calculate parameters such as the loaded and unloaded quality factors (Q and Q0, respectively), the resonant frequency (f0), and the coupling coefficient (κ), which are important quantities in the evaluation of HTS resonators. While the data are also stored for further use, the programs allow the user to obtain a graphical representation of any of the measured parameters as a function of temperature soon after the completion of the cryogenic measurement cycle. Although these programs were developed to study planar HTS-based resonators operating in the reflection mode, they could also be used in the cryogenic characterization of two ports (i.e., reflection/transmission) resonators.

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© 1996 Plenum Press, New York

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Creason, A.S., Miranda, F.A. (1996). Automation of Data Analysis Programs Used in the Cryogenic Characterization of Superconducting Microwave Resonators. In: Kittel, P. (eds) Advances in Cryogenic Engineering. A Cryogenic Engineering Conference Publication, vol 41. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0373-2_218

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  • DOI: https://doi.org/10.1007/978-1-4613-0373-2_218

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-8022-1

  • Online ISBN: 978-1-4613-0373-2

  • eBook Packages: Springer Book Archive

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