Upper panel: Stacked saliency map for CNN Model 2, where the halo’s central galaxy baryonic particles are partitioned into 40 uniform bins, ranging from the center of the halo out to 16 R_half,fit. These bins are used to construct the input maps for training and testing the model. Lower panel: Line plots showing the pixel intensity variation as a function of normalized radius (r/R_half,fit) for each row of the stacked saliency map. Each line corresponds to a different physical property. The gray region in each plot indicates the aperture range identified by the network as most relevant for prediction. This region accounts for approximately 22% of the total area under each curve.