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Table 3

Comparison between morphological parameters derived from HSC-SSP images used to train the low redshift network in this work and derived from GAMA-KiDS data in Pearson et al. (2019b).

Parameter Mean δ Std δ Outliers
Asymmetry (A) −0.060 0.087 22
Concentration (C) −0.052 0.299 26
Deviation (D) 0.011 0.097 28
Ellipticity asymmetry (Eli A) −0.003 0.095 22
Ellipticity centroid (Eli Cen) −0.003 0.096 22
Elongation asymmetry (Elo A) 0.073 2.882 4
Elongation centroid (Elo Cen) 0.051 2.694 2
Gini 0.010 0.052 21
Gini-M20 bulge (GMB) 0.027 0.235 14
Gini-M20 merger (GMM) 0.013 0.068 24
Intensity (I) −0.023 0.160 38
M20 0.029 0.200 28
Multimode (M) 0.000 0.158 55
Sérsic amplitude(a) (SA) 0.330 1.077 21
Sérsic ellipticity (SE) −0.044 0.150 33
Sérsic index (n) −0.433 6.744 9
Smoothness (S) −0.039 0.367 24

Notes. These differences are expressed the value from HSC-SSP morphological parameters subtracted from the GAMA-KiDS morphologies (δ): negative means imply that HSC-SSP morphologies are larger than GAMA-KiDS. (a)Comparison is made with surface brightness (mag arcsec−2), not the counts reported in Table 1 and Pearson et al. (2019a).

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