Table 2.
BIC values obtained from the fit realised on our data using the Gaussian mixture model or the Weibull function.
| CHEX-MATE | Tier 1 | Tier 2 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| c | w | P20 | P30 | M | c | w | P20 | P30 | M | c | w | P20 | P30 | M | |
| Gaussian (1 component) | 36 | −160 | −267 | −321 | 431 | 6 | −81 | −127 | −159 | 208 | 23 | −78 | −135 | −153 | 205 |
| Weibull | 31.0 | −157.3 | −269.2 | −320.3 | 433.4 | 4 | −81 | −127 | −163 | 208 | 19 | −75 | −132 | −153 | 209 |
Notes. The models were applied to the logarithmic distributions of the morphological parameters. Since the Weibull function is not defined for negative values, c, w, P20, and P30 were multiplied for 103, 104, 109, and 1010, respectively. For the M parameter, we instead added 10 to the original values (see Sect. 8.1). Besides the results arising from the analysis of the entire CHEX-MATE sample, we also present the results obtained for Tier 1 and Tier 2, separately.
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