The purpose of averaging is that it will remove the noise. Suppose there are 'm' number of MD generated trajectories for an inhomogeneous, but symmetric system. As mentioned above, we used a simple metric or feature (namely the quantity, nx-y) to gauge the physics of such a system. Then we divided the system into 'd' number of bins above and below the line of symmetry. After that we obtained the features nx-ys in each of these bins and averaged each of the features in each of the bins. After binning and averaging, we get therefore get x = m×d number of data points, with each data point having 'N' dimensions (the number of