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DOE OSTI · 1339623

scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data

Carter, Faustin Wirkus·Khaire, Trupti S.·Novosad, Valentyn·Chang, Clarence L.
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Abstract

We present "scraps" (SuperConducting Analysis and Plotting Software), a Python package designed to aid in the analysis and visualization of large amounts of superconducting resonator data, specifically complex transmission as a function of frequency, acquired at many different temperatures and driving powers. The package includes a least-squares fitting engine as well as a Monte-Carlo Markov Chain sampler for sampling the posterior distribution given priors, marginalizing over nuisance parameters, and estimating covariances. A set of plotting tools for generating publication-quality figures is also provided in the package. Lastly, we discuss the functionality of the software and provide some examples of its utility on data collected from a niobium-nitride coplanar waveguide resonator fabricated at Argonne National Laboratory.

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75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY97 MATHEMATICS AND COMPUTINGmicrowave measurementssuperconducting microwave devicessuperconducting resonators

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Carter, Faustin Wirkus, Khaire, Trupti S., Novosad, Valentyn, Chang, Clarence L.. 2016-11-07. scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data. https://doi.org/10.1109/tasc.2016.2625767

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