a closer look at the inverse ellc plot. The inverse means that I successively remove the lowest separation data point in the set and recalculate the max_probability and its corresponding ellc. So the left-most point on the graph represents the ENTIRE dataset, and therefore should equal the right-most point on the NORMAL martin graph. (which it does)
contour plots at varying max-sep
this is the normal contour plot, for all data
this contour shows what the probabilities are when the maximum separation in the data set is 10kpc. this ammounts to roughly 60 total data points.