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vb22224 authored Sep 17, 2024
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# Drop_Modelling_and_Fitting

Scripts to both plot data from triboelectric charge experiments (Drop_Plotter.py) and model the dicretised trace expected (Drop_Trace_Model.py) to be seen by a Faraday cup to estimate the extent of experimental particle precharging and selfcharging.
Scripts to plot data from triboelectric charge experiments and estimate the extent of experimental particle precharging and selfcharging. The data used for these plots is avalible at https://www.doi.org/10.18126/n3dx-dh16.

A summary of the codes' functionalities are as follows:
Drop_Plotter.py - Plots the Fararday cup triboelectricity measurements.
Drop_Trace_Model.py - Calculates the time taken for paticles to fall to the Faraday cup.
Continuous_Trace_Model.py - Calculates the expected Fararday cup trace and components given size and charge distributions.
Continuous_Fitter.py - Lets the expected Fararday cup trace be fit manually to the measured trace.
Automated_Fitter.py - Automatically fits the expected Fararday cup trace to that measured experimentally given an initial guess.
Camsizer_Plotter.py - Plots and fits the size distributions for data from the CAMSIZER X2.
Mastersizer_Plotter.py - Plots and fits the size distributions for data from the Mastersizer 3000.
Ring_Fitter.py - Fits traces for ring charge sensors rather than Farday cups

These are then adapted to form a continous trace in the Continous_Trace_Model.py, which can be fit by hand in the Continuos_Fitter.py and automatically with the Automated_Fitter.py.

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