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

Journal Article · Mon Nov 07 00:00:00 EST 2016 · IEEE Transactions on Applied Superconductivity

DOI:https://doi.org/10.1109/TASC.2016.2625767· OSTI ID:1339623

Carter, Faustin Wirkus ^[1]; Khaire, Trupti S. ^[1]; Novosad, Valentyn ^[1]; Chang, Clarence L. ^[1]

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1. Argonne National Lab. (ANL), Argonne, IL (United States)

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.

• Research Organization: Argonne National Lab. (ANL), Argonne, IL (United States)
• Sponsoring Organization: National Science Foundation (NSF); USDOE Office of Science (SC), Basic Energy Sciences (BES)
• Grant/Contract Number: AC02-06CH11357
• OSTI ID: 1339623
• Journal Information: IEEE Transactions on Applied Superconductivity, Vol. 27, Issue 4; ISSN 1051-8223
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Country of Publication: United States
• Language: English

Related Subjects

75 CONDENSED MATTER PHYSICS
SUPERCONDUCTIVITY AND SUPERFLUIDITY
97 MATHEMATICS AND COMPUTING
microwave measurements
superconducting microwave devices
superconducting resonators