{ "info": { "author": "Alexandre Boivin", "author_email": "alex.boivin@utoronto.ca", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering" ], "description": "permittivitycalc \n================\n\n+-------------------------+---------------+-----------------+---------------+---------------+\n| Continuous Integration | Code Coverage | PyPI Package | Docs | Citation |\n+=========================+===============+=================+===============+===============+\n| |TravisCI| | |Codecov| | |PyPiBadge| | |RTD| | |DOIBadge| |\n+-------------------------+---------------+-----------------+---------------+---------------+\n\n.. |TravisCI| image:: https://travis-ci.org/boivinalex/permittivitycalc.svg?branch=master\n :target: https://travis-ci.org/boivinalex/permittivitycalc\n\n.. |Codecov| image:: https://codecov.io/gh/boivinalex/permittivitycalc/branch/master/graph/badge.svg\n :target: https://codecov.io/gh/boivinalex/permittivitycalc\n\n.. |PyPiBadge| image:: https://badge.fury.io/py/permittivitycalc.svg\n :target: https://badge.fury.io/py/permittivitycalc\n\n.. |RTD| image:: https://readthedocs.org/projects/permittivitycalc/badge/?version=latest\n\t:target: https://permittivitycalc.readthedocs.io/en/latest/?badge=latest\n\t:alt: Documentation Status\n\n.. |DOIBadge| image:: https://zenodo.org/badge/98680301.svg\n :target: https://zenodo.org/badge/latestdoi/98680301\n\nScripts to calculate and plot the complex permittivity (and permeability) from S-parameter data acquired from transmission-line measurements\n\nOverview\n--------\npermittivitycalc is a Python package made to take S-parameter data output from METAS VNA Tools II (https://www.metas.ch/vnatools) and process it to determine and plot the complex electric permittivity (and magnetic permeability) of a material measured in a coaxial transmission line.\n\nTwo analytical calculation methiods are currently implemented:\n\n- The New Non-iterative Method for permittivity calculation from S-parameters from [Boughriet1997]_ which assumes that the material is non-magnetic (i.e. \\mu = 1).\n\n- The Nicholson-Ross-Weir method to calculate the complex permittivity and permeability of a sample. This method, however, is unstable at multiples of one-half wavelength in the sample [NicolsonRoss1970]_ [Weir1974]_.\n\npermittivitycalc can also use MCMC-based Bayesian model fitting/parameter estimation to fit Cole-Cole type models directly to the measured S-parameters to determine the frequency-dependant complex permittivity (and permeability, if desired). Cole-Cole models support multiple relaxation poles as well as a conductivity term.\n\nYou can use permittivitycalc to:\n\n- Input and plot raw S-parameter data in tabular form with or without uncertainties.\n- Calculate and plot the complex permittivity with full propagation of uncertainties.\n- Perform connector de-embedding on the raw S-parameters to extract the sample S-parameters, if necessary. Example: de-embedding washers used to cap the transmission line when measuring powdered samples.\n- Correct for the boundary effect in the transmission line when measuring powdered samples after [Hickson2017]_.\n- Correct for the air gap when measuring solid samples after [Baker-Jarvis1993]_.\n- Plot data from multiple measurements together for comparison.\n- Model measured S-parameters directly with a Cole-Cole model using MCMC-based Bayesian model fitting.\n\nUsage\n-----\nFor usage examples and a walkthrough on how to use permittivitycalc, see the `Docs `_\n\nInstallation\n------------\n\nRequirements\n^^^^^^^^^^^^\n\npermittivitycalc was written for Python 3 and tested on the following versions of Python:\n\n- 3.6\n- 3.7\n\npermittivitycalc uses the following packages:\n\n- tkinter\n- numpy \n- uncertainties\n- scipy\n- matplotlib\n- seaborn\n- cycler\n- lmfit\n- emcee\n- corner\n\nInstalling Anaconda\n^^^^^^^^^^^^^^^^^^^\n\nWe recommend using `Anaconda`_ to manage your Python environments.\n\n.. _`Anaconda`: https://www.anaconda.com/distribution/\n\n1. `Install Anaconda `_.\n\n2. Open a terminal window and create a `conda virtual environment`_ (name it anything you like, and set the python version to a compatible version in `Requirements`_)::\n\n conda create --name your_env_name anaconda python=3.7\n\n3. Activate the environment::\n\n conda activate your_env_name\n\n.. _`conda virtual environment`: https://conda.io/docs/using/envs\n\nQuick Install\n^^^^^^^^^^^^^\n\nInstall permittivitycalc with pip::\n\n\tpip install permittivitycalc\n\nManual Install\n^^^^^^^^^^^^^^\n\n1. (Optional) Fork `permittivitycalc on Github `_\n\n2. Clone or download the repository.\n\n3. Navigate to the permittivitycalc root directory and install with::\n\n\tpython setup.py install\n\nContributors\n------------\npermittivitycalc was developed with the aid of these `contributors `_.\n\nReferences\n----------\n.. [Baker-Jarvis1993] Baker-Jarvis, J., Janezic, M. D., Grosvenor Jr, J. H., & Geyer, R. G. (1993). Transmission/reflection and short-circuit line methods for measuring permittivity and permeability. NIST Technical Note 1355-R. Boulder, CO. http://doi.org/10.6028/NIST.TN.1355r\n.. [Boughriet1997] Boughriet, A. H., Legrand, C., & Chapoton, A. (1997). Noniterative stable transmission/reflection method for low-loss material complex permittivity determination. IEEE Transactions on Microwave Theory and Techniques, 45(1), 52\u201357. http://doi.org/10.1109/22.552032\n.. [Hickson2017] Hickson, D., Sotodeh, S., Daly, M. G., Ghent, R., & Nolan, M. C. (2017). Improvements on effective permittivity measurements of powdered alumina: Implications for bulk permittivity properties of asteroid regoliths. Advances in Space Research, 59(1), 472\u2013482. http://doi.org/10.1016/j.asr.2016.08.011\n.. [NicolsonRoss1970] Nicolson, A. M., & Ross, G. F. (1970). Measurement of the Intrinsic Properties of Materials by Time-Domain Techniques. IEEE Transactions on Instrumentation and Measurement, 19(4), 377\u2013382. http://doi.org/10.1109/TIM.1970.4313932\n.. [Weir1974] Weir, W. B. (1974). Automatic Measurement of Complex Dielectric Constant and Permeability at Microwave Frequencies. 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