scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data
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...
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Veröffentlicht in: | IEEE transactions on applied superconductivity 2016-11, Vol.27 (4) |
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creator | Carter, Faustin Wirkus Khaire, Trupti S. Novosad, Valentyn Chang, Clarence L. |
description | 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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(ANL), Argonne, IL (United States)</creatorcontrib><description>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. 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(ANL), Argonne, IL (United States)</creatorcontrib><title>scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data</title><title>IEEE transactions on applied superconductivity</title><description>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.</description><subject>CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY</subject><subject>MATHEMATICS AND COMPUTING</subject><subject>microwave measurements</subject><subject>superconducting microwave devices</subject><subject>superconducting resonators</subject><issn>1051-8223</issn><issn>1558-2515</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNi8sKwjAQRYMo-PyH4D7QNEaqOxHFpQv3MqajVsskZNKFfr318QGu7rmXezpioK0tVG617bacWa2KPDd9MWS-ZZmeFTM7EMQuQuClXJH0AUmxb6JDuX-kqyd1AsZSAkH94IplAHeHC8qzj9_xWdGlpVKG2qf0LtwEjM5T2bhPj8ieILVCCQnGoneGmnHyy5GYbjeH9U55TtWRXZXQXVub0KWjNmYxz4356_QCPQFMSA</recordid><startdate>20161107</startdate><enddate>20161107</enddate><creator>Carter, Faustin Wirkus</creator><creator>Khaire, Trupti S.</creator><creator>Novosad, Valentyn</creator><creator>Chang, Clarence L.</creator><general>Institute of Electrical and Electronics Engineers (IEEE)</general><scope>OIOZB</scope><scope>OTOTI</scope></search><sort><creationdate>20161107</creationdate><title>scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data</title><author>Carter, Faustin Wirkus ; Khaire, Trupti S. ; Novosad, Valentyn ; Chang, Clarence L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-osti_scitechconnect_13396233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY</topic><topic>MATHEMATICS AND COMPUTING</topic><topic>microwave measurements</topic><topic>superconducting microwave devices</topic><topic>superconducting resonators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carter, Faustin Wirkus</creatorcontrib><creatorcontrib>Khaire, Trupti S.</creatorcontrib><creatorcontrib>Novosad, Valentyn</creatorcontrib><creatorcontrib>Chang, Clarence L.</creatorcontrib><creatorcontrib>Argonne National Lab. (ANL), Argonne, IL (United States)</creatorcontrib><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>IEEE transactions on applied superconductivity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carter, Faustin Wirkus</au><au>Khaire, Trupti S.</au><au>Novosad, Valentyn</au><au>Chang, Clarence L.</au><aucorp>Argonne National Lab. (ANL), Argonne, IL (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data</atitle><jtitle>IEEE transactions on applied superconductivity</jtitle><date>2016-11-07</date><risdate>2016</risdate><volume>27</volume><issue>4</issue><issn>1051-8223</issn><eissn>1558-2515</eissn><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.</abstract><cop>United States</cop><pub>Institute of Electrical and Electronics Engineers (IEEE)</pub><oa>free_for_read</oa></addata></record> |
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subjects | CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY MATHEMATICS AND COMPUTING microwave measurements superconducting microwave devices superconducting resonators |
title | scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data |
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