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Table 3.

Best-fit parameters of the radius–stellar mass scaling relations.

Relation Sample M(M) β α σobs σback σmass σint r
Edge radii Cluster 105 − 1011 0.40 ± 0.01 −2.88 ± 0.10 0.096 0.057 0.052 0.057 0.93
vs. stellar mass Group & satellite 105.5 − 1010 0.38 ± 0.02 −2.67 ± 0.12 0.12 0.064 0.066 0.077 0.94
LV/Nearly isolated 105.5 − 109 0.40 ± 0.05 −2.79 ± 0.33 0.14 0.055 0.093 0.089 0.87
C22/Nearly isolated 107 − 1010 0.32 ± 0.03 −2.07 ± 0.24 0.12 0.052 0.079 0.073 0.85
R edge M β $ R_{\mathrm{edge}} \sim M_{\star}^{\beta} $ Total Sample 105 − 1011 0.42 ± 0.01 −2.94 ± 0.07 0.13 0.057 0.066 0.068 0.94

Effective radii Cluster 105 − 1011 0.27 ± 0.02 −2.11 ± 0.14 0.15 0.073 0.080 0.10 0.79
vs. stellar mass Group & satellite 105.5 − 1010 0.27 ± 0.03 −2.15 ± 0.18 0.19 0.074 0.076 0.16 0.78
LV/Nearly isolated 105.5 − 109 0.29 ± 0.07 −2.29 ± 0.48 0.18 0.087 0.061 0.15 0.68
C22/Nearly isolated 107 − 1010 0.30 ± 0.045 −2.41 ± 0.38 0.21 0.12 0.062 0.16 0.65
r e M β $ r_{\mathrm{e}} \sim M_{\star}^{\beta} $ Total Sample 105 − 1011 0.28 ± 0.01 −2.19 ± 0.10 0.18 0.087 0.074 0.14 0.80

Notes. The estimated dispersion of the scaling relations due to uncertainties in the image background (σback) and stellar mass (σmass) estimation are also included. We used these values to calculate the intrinsic uncertainty (σint) of the scaling relation. The relations are of the form log10R = β log10M + α, where R is the radius of interest. The intrinsic dispersion of the relation was computed using σ int = σ obs 2 σ back 2 σ mass 2 $ \sigma_{\mathrm{int}} = \sqrt{\sigma_{\mathrm{obs}}^2 - \sigma_{\mathrm{back}}^2 - \sigma_{\mathrm{mass}}^2} $, and r is the Pearson correlation coefficient. If we additionally account for the typical uncertainty in visual identifications of edge radii (0.04 dex; Chamba et al. 2022), then the intrinsic uncertainty in the Redge − M relation for the total sample drops to ∼0.06 dex.

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