SubDLe: Identification of substructures in cosmological simulations with deep learning - An image segmentation approach to substructure finding

Open Access

Table 2

Results of identification of galaxies in 11 simulated galaxy clusters analyzed with stellar SubDLe.

ID	Completeness	Purity	`SubDLe` time (s)
CL-3	0.80	0.89	53
CL-4	0.78	0.86	21
CL-5	0.88	0.82	53
CL-6	0.84	0.88	41
CL-7	0.75	0.65	74
CL-8	0.81	0.86	105
CL-9	0.78	0.91	49
CL-10	0.84	0.92	146
CL-11	0.82	0.86	36
CL-12	0.83	0.90	152
CL-13	0.79	0.82	59

Notes. The first column reports the cluster ID, the second and third ones show the completeness and purity of our stellar SubDLe catalogs, in comparison with SubFind, and the fourth one reports the wall clock time (in seconds) taken by SubDLe for the processing of the d grids.

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