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:
-
- 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)
- 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. https://doi.org/10.1109/TASC.2016.2625767
Carter, Faustin Wirkus, Khaire, Trupti S., Novosad, Valentyn, and Chang, Clarence L. 2016.
"scraps: An open-source Python-based analysis package for analyzing and plotting superconducting resonator data". United States. https://doi.org/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},
url = {https://www.osti.gov/biblio/1339623},
journal = {IEEE Transactions on Applied Superconductivity},
issn = {1051-8223},
number = 4,
volume = 27,
place = {United States},
year = {Mon Nov 07 00:00:00 EST 2016},
month = {Mon Nov 07 00:00:00 EST 2016}
}
Works referencing / citing this record:
Atomic Layer Deposition Niobium Nitride Films for High-Q Resonators
journal, January 2020
- Sheagren, Calder; Barry, Peter; Shirokoff, Erik
- Journal of Low Temperature Physics, Vol. 199, Issue 3-4
Low-loss single-photon NbN microwave resonators on Si
journal, August 2019
- Carter, Faustin W.; Khaire, Trupti; Chang, Clarence
- Applied Physics Letters, Vol. 115, Issue 9
Design and performance of hafnium optical and near-IR kinetic inductance detectors
journal, November 2019
- Zobrist, Nicholas; Coiffard, Grégoire; Bumble, Bruce
- Applied Physics Letters, Vol. 115, Issue 21
Design and Performance of Hafnium Optical and Near-IR Kinetic Inductance Detectors
text, January 2019
- Zobrist, Nicholas; Coiffard, Grégoire; Bumble, Bruce
- arXiv