A neural network approach to determining photometric metallicities of M-type dwarf stars

Open Access

Table 3.

Statistics of the differences between the primary [Fe/H]_spec and the secondary [Fe/H]_phot.

	$\bar{x}$ $\overline{x}$	$\tilde{x}$ $\tilde{x}$	σ_x	MAD(x)	r	r_S
B05	+0.144	+0.111	0.147	0.105	0.71	0.67
JA09	−0.064	−0.086	0.206	0.144	0.69	0.66
N12	+0.071	+0.039	0.149	0.115	0.69	0.66
M13	+0.043	+0.063	0.144	0.156	0.65	0.64
DD19	+0.047	+0.056	0.176	0.167	0.53	0.52
R21	−0.007	+0.001	0.105	0.089	0.84	0.78
DA23	−0.012	−0.004	0.087	0.081	0.90	0.83
This work	+0.015	+0.001	0.082	0.075	0.92	0.88

Notes. Mean ( $\bar{x}$ $\overline{x}$ ), median ( $\tilde{x}$ $\tilde{x}$ ), standard deviation (σ_x), median absolute deviation (MAD(x)), and Pearson’s (r) and Spearman’s (r_S) correlation coefficients, where x = [Fe/H]_spec – [Fe/H]_phot in dex.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.