Short jupyter notebook showcasing how using different distributions, namely CSDA energy distribution and a gaussian distribution, will yield different images with perceivable differences
- energyDistr.ipynb contains the code for generating the images
- Plots.ipynb calls the plots from the plotly cloud and described the steps.
At the moment the plots in the Plots.ipynb are rendered only by using nbvirewer option (top right button)