Table 2.
Fractions of retired (RG), quenched (QG), and ageing (AG) galaxies at z < 0.1.
| Dataset and Method | F(RGs) | F(QGs) | F(AGs) |
|---|---|---|---|
| Euclid (z < 0.1) | |||
| Post. (max F-score) | 0.14 | 0.10 | 0.68 |
| Post. (high purity) | 0.14 | 0.04 | 0.68 |
| Post. (max prob.) | 0.14 | 0.17 | 0.68 |
| KDE (max F-score) | 0.19 | 0.08 | 0.72 |
| KDE (high purity) | 0.16 | 0.13 | 0.70 |
| KDE (max prob.) | 0.19 | 0.09 | 0.72 |
| IllustrisTNG (z = 0) | |||
| Truth (true values) | 0.27 | 0.02 | 0.71 |
| Post. (max F-score) | 0.26 | 0.03 | 0.67 |
| Post. (high purity) | 0.26 | < 0.01 | 0.67 |
| Post. (max prob.) | 0.26 | 0.06 | 0.67 |
| KDE (max F-score) | 0.27 | 0.03 | 0.70 |
| KDE (high purity) | 0.28 | < 0.01 | 0.70 |
| KDE (max prob.) | 0.18 | 0.04 | 0.78 |
| CC23a Results | |||
| IllustrisTNG | 0.23–0.25 | 0.11–0.14 | 0.61 |
| MaNGA | 0.13–0.15 | 0.08–0.10 | 0.72–0.74 |
Notes. The table lists estimated fractions for the Euclid and IllustrisTNG samples, along with results from CC23a. Fractions are estimated using Bayesian posterior and KDE-based classification schemes under three criteria: minimum probability threshold (Pmin) that maximises F-score, threshold maximizing purity, and label with the highest probability. For IllustrisTNG, fractions are also provided using the true values of sSFR8 and sSFR9.
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