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Scripts to both read data from triboelectric charge experiments and model the trace expecited to be seen by a Faraday cup to estimate the extent of experimental particle precharging and selfcharging

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vb22224/Drop_Modelling_and_Fitting

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Drop_Modelling_and_Fitting

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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

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Scripts to both read data from triboelectric charge experiments and model the trace expecited to be seen by a Faraday cup to estimate the extent of experimental particle precharging and selfcharging

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