Illustration of the weighting scheme for computing correlations between two variables x and y. The top row shows the relation between L_out and R₁, the middle row is for M₀ as a function of run number, while the bottom row displays versus T₀. In the left column, the light blue dots represent the different simulations (the run numbers are indicated inside each symbol), while the coloured contours show the normalised weights given to the data points. In the right column, the blue solid line represents the cumulative distances for each run, sorted in ascending order. The red dashed line is the derivative of this distance distribution. The thick vertical black solid line marks the position of the first derivative spike above 0.075 (grey dotted line), while the black arrow reads the value of the distance d₀ on the blue curve at the location of the derivative spike. The insets show the weighting functions w(d,d₀).