Scraps: An Open-Source Python-Based Analysis Package for Analyzing and Plotting Superconducting Resonator Data

被引：14
|
作者：
Carter F.W. [1 ]
Khaire T.S. [1 ]
Novosad V. [1 ]
Chang C.L. [1 ]
机构：
[1] Argonne National Laboratory, Argonne, 60439, IL
来源：
| 1600年 / Institute of Electrical and Electronics Engineers Inc., United States卷 / 27期
基金：
美国国家科学基金会;
关键词：
Microwave measurements; superconducting microwave devices; superconducting resonators;
D O I：
10.1109/TASC.2016.2625767
中图分类号：
学科分类号：
摘要：
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. 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. © 2016 IEEE.
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