Example figures for a modeled Bayesian classifier application on the observation data. Again, figures are 2D, but the actual classifier was made in a 6D indicator space. Left: Original 2D observation data distribution. Classifier was modeled using simulation data distribution (white), and then the trained classifier is applied to observation data (Blue). Right: classified results of observation data. Each color represents different merger stages, and check it in legend.