Neural Network Approaches for Estimating Virial Mass, Concentration Parameters, and Real-Space Density of Dark Matter Clusters

I trained neural network models using sub-halo number density in redshift space, embedded on 2D and 3D grids, to estimate the virial mass, concentration parameters, and real-space number density profiles of clusters.