Table 3
Colour distribution of the spectroscopic GC sample from normal mixture modelling.
| ID | N | Model | mR | R | Nb | μb | σb | Nr | μr | σr | C − Rdivi | |||
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | |||
|
|
||||||||||||||
| 1 | all | 458 | E | 19.11–22.73 | 0.51–15.43 | 226 | 1.25 | 0.16 | 232 | 1.69 | 0.16 | 1.46 | ||
| 2 |
|
372 | E | 19.14–22.73 | 2.53–15.43 | 183 | 1.26 | 0.15 | 189 | 1.70 | 0.15 | 1.47 | ||
| 3 |
|
86 | X | 19.11–22.45 | 0.51–2.50 | 86 | 1.42 | 0.26 | ... | ... | ... | ... | ||
|
|
86 | V† | 19.11–22.45 | 0.51–2.50 | 38 | 1.22 | 0.21 | 48 | 1.57 | 0.19 | 1.36 | |||
| 4 |
|
86 | E | 19.64–22.62 | 2.53–3.72 | 49 | 1.26 | 0.16 | 37 | 1.72 | 0.16 | 1.50 | ||
Notes. The parameters were obtained using the MCLUST normal mixture modelling algorithm. The first Column describes and labels the subsets for which the analysis was performed. The total number of GCs is given in Col. 2, the type of model fit to the data is given in Col. 3, where “E” refers to equal-variance (homoscedastic) 2-component models, and “X” to a single-component model. “V” is a heteroscedastic 2-component model. The range of R-band magnitudes and radial distances are listed in Cols. 4 and 5, respectively. Columns 6 through 8 show the number of blue GCs, the position and width of the blue peak. Columns 9 though 11 are the same for the red GCs. Column 12 is the colour dividing blue from red GCs.
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