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# Drop_Modelling_and_Fitting | ||
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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. | ||
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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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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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