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.

引用

共 24 条

[1]

Carter F.W., Khaire T.S., Novosad V., Chang C., Raw Data and Analysis Pipeline for Producing Figures in F.W. Carter, et Al., 2016, (2016)

[2]

Carter F.W., Scraps: Scraps v0.2, (2016)

[3]

Carter F.W., HPD Olympus ADR Cryostat Control, (2016)

[4]

Carter F.W., Control Software for Sweeping ADR Temperature and Collecting PNA Data, (2016)

[5]

Bocquet S., Carter F.W., Pygtc: Beautiful parameter covariance plots (aka. Giant triangle confusograms), J. Open Source Softw., 1, 6, (2016)

[6]

Carter F.W., Scraps: SuperConducting Resonator Analysis and Plotting Software, (2016)

[7]

Carter F.W., Scraps Program Documentation, (2016)

[8]

The Python Packaging Index, (2016)

[9]

Pip: The Python Packaging Association's Recommended Tool for Installing Python Packages, (2016)

[10]

Perez F., Granger B.E., IPython: A system for interactive scientific computing, Comput. Sci. Eng., 9, 3, pp. 21-29, (2007)

← 1 2 3 →