Z-Scan Fit

All code necessary to analyse a z-scan measurement and fit the data according to different nonlinear absorption models.

To run:

$ streamlit run main.py

General information

This project has been part of my thesis for the degree of Master of Science in Nanoscience, Nanotechnology and Nanoengineering at KU Leuven. Read the thesis report for methodology of the measurment and documentation of the code.

The code has been split into four functional parts:

• beam profile
• normalise data
• z-scan fit

Beam profile

The first step of doing a z-scan measurement is to know the properties of the beam. The program generates a .toml containting the beam properties.

Normalise data

To be compatible with the final fitting code, the data needs to be normalised first.

The program takes the data from one or more measurements and returns normalised data of the data individually, as well as, a normalised average over all measurements. A plot of the normalised data is exported as well.

Z-Scan fit

Finally, the nonlinear absorption models can be fitted.

The program takes the normalised data and a completed input-file that has been generated by the normalisation code.

By running the program, a .toml containing the fitted model parameters is exported, as well as, plots of the fitted data.