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

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.

Authors:
 [1];  [1];  [1];  [1]
  1. Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Science Foundation (NSF); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1339623
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Transactions on Applied Superconductivity
Additional Journal Information:
Journal Volume: 27; Journal Issue: 4; Journal ID: ISSN 1051-8223
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; 97 MATHEMATICS AND COMPUTING; microwave measurements; superconducting microwave devices; superconducting resonators

Citation Formats

Carter, Faustin Wirkus, Khaire, Trupti S., Novosad, Valentyn, and Chang, Clarence L.. scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data. United States: N. p., 2016. Web. doi:10.1109/TASC.2016.2625767.
Carter, Faustin Wirkus, Khaire, Trupti S., Novosad, Valentyn, & Chang, Clarence L.. scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data. United States. doi:10.1109/TASC.2016.2625767.
Carter, Faustin Wirkus, Khaire, Trupti S., Novosad, Valentyn, and Chang, Clarence L.. Mon . "scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data". United States. doi:10.1109/TASC.2016.2625767. https://www.osti.gov/servlets/purl/1339623.
@article{osti_1339623,
title = {scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data},
author = {Carter, Faustin Wirkus and Khaire, Trupti S. and Novosad, Valentyn and Chang, Clarence L.},
abstractNote = {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.},
doi = {10.1109/TASC.2016.2625767},
journal = {IEEE Transactions on Applied Superconductivity},
issn = {1051-8223},
number = 4,
volume = 27,
place = {United States},
year = {2016},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
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