Measurement Model

A GUI Python-based impedance measurement model tool. This project served as my University of Florida honors thesis.

A version is availabe at ECSarXiv: EIS: Measurement Model Program. This tool has also been referenced in published literature: Physical properties obtained from measurement model analysis of impedance measurements by H. Liao, W. Watson, et. al.

Note: The quality of the code isn't the best but it does the job. If I was writing this again there's a lot I would do differently!

How to use

mm.py is the program launching point.
Measurement_model_guide.pdf is a very in-depth look at the program's abilities.

Features

Importing data

• Read common impedance file types and automatically select the data contained therein
• Delete data as desired

Fitting measurement model

• Fit impedance data to a series of RC elements with the specified fitting type and weighting
• Auto-fit data
• Undo previous fits
• Change frequency range dynamically
• Refine initial guesses graphically or through "multistart"
• Evaluate simple extrapolated parameters
• View and export detailed results, including Monte Carlo confidence intervals and result correlation matrix
• View and save interactive graphical results

Fitting custom formulas

• Fit impedance data to an arbitrary custom formula written in Python in-program
• Save custom formulas with descriptions and Latex-based equations
• Generate synthetic data from custom formulas
• Change frequency range dynamically
• Refine initial guesses through "multistart"
• View and export detailed results, including Monte Carlo confidence intervals and result correlation matrix
• View and save interactive graphical results

Error analysis

• Save residual errors from a fitting and combine them
• Use combined errors to fit an error structure

Settings

• Change default settings for ease-of-use and appearance