Deriving accurate galaxy cluster masses using X-ray thermodynamic profiles and graph neural networks

Open Access

Table G.1.

Results with X-COP sample. Columns: (1) Cluster name, (2) Redshift, (3) Mass obtained using from Y_SZ-M $_{500}^{SZ}$ $_{500}^{\mathrm{SZ}}$ , (4) Hydrostatic mass, M $_{500}^{HSE}$ $_{500}^{\textrm {HSE}}$ , (5) Hydrostatic mass corrected with non-thermal pressure, M $_{500}^{HSE + NT}$ $_{500}^{\mathrm{HSE+NT}}$ , (6) GNN estimated mass, M $_{500}^{GNN}$ $_{500}^{\textrm {GNN}}$ (this work).

Name	redshift	M $_{500}^{SZ}$ $_{500}^{\mathrm{SZ}}$ ^*	M $_{500}^{HSE}$ $_{500}^{\mathrm{HSE}}$ ^**	M $_{500}^{HSE + NT}$ $_{500}^{\mathrm{HSE+NT}}$ ^**	M $_{500}^{GNN}$ $_{500}^{\mathrm{GNN}}$
		10¹⁴M_⊙	10¹⁴M_⊙	10¹⁴M_⊙	10¹⁴M_⊙
A85	0.055	4.80 ± 0.16	5.65 ± 0.18	6.22 ± 0.49	6.79 ± 0.33

A644	0.070	5.10 ± 0.18	5.66 ± 0.48	6.03 ± 0.65	6.25 ± 0.31

A1644	0.047	3.43 ± 0.17	3.48 ± 0.20	3.52 ± 0.21	3.82 ± 0.20

A1795	0.062	4.47 ± 0.16	4.53 ± 0.14	4.77 ± 0.33	5.25 ± 0.27

A2029	0.076	7.20 ± 0.20	8.65 ± 0.29	8.98 ± 0.83	9.63 ± 0.46

A2142	0.090	8.88 ± 0.21	8.95 ± 0.26	10.05 ± 0.73	11.50 ± 0.46

A2255	0.080	5.20 ± 0.14	5.26 ± 0.34	5.87 ± 0.46	7.48 ± 0.35

A2319	0.055	8.72 ± 0.13	7.31 ± 0.28	11.44 ± 1.08	13.97 ± 0.39

A3158	0.059	4.12 ± 0.15	4.26 ± 0.18	4.53 ± 0.37	5.10 ± 0.27

A3266	0.058	6.56 ± 0.12	8.80 ± 0.57	8.94 ± 0.56	8.89 ± 0.42

RXC1825	0.065	3.71 ± 0.19	4.08 ± 0.13	3.94 ± 0.32	5.20 ± 0.27

ZW1215	0.076	4.04 ± 0.21	7.66 ± 0.52	7.67 ± 0.53	6.02 ± 0.32

Notes.

Derived as detailed in Sect. 5.2.

^**

Derived from Eckert et al. (2019).

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