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Table 4

Results of GMM runs.

Color Peak1 Peak2 σ1 σ2 NGC f2 DD Kurtosis p(χ2) p(DD) p(kurt) bi?
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13)
ui 1.84 ± 0.14 2.20 ± 0.29 0.08 ± 0.07 0.30 ± 0.10 81 0.88 1.62 –0.04 0.525 0.73 0.675 N
gi 0.79 ± 0.06 1.22 ± 0.19 0.13 ± 0.04 0.11 ± 0.05 81 0.05 3.44 0.93 0.050 0.14 0.974 Y?
ur 1.59 ± 0.09 1.97 ± 0.13 0.12 ± 0.04 0.23 ± 0.06 81 0.81 2.06 –0.09 0.634 0.61 0.630 N
ik 0.03 ± 0.10 0.63 ± 0.21 0.23 ± 0.07 0.26 ± 0.10 82 0.35 2.49 –0.59 0.063 0.42 0.157 Y?
rj 0.65 ± 0.04 0.95 ± 0.12 0.08 ± 0.03 0.25 ± 0.06 81 0.64 1.62 0.77 0.004 0.74 0.961 N
gk 0.55 ± 0.14 1.19 ± 0.30 0.12 ± 0.09 0.49 ± 0.12 81 0.79 1.79 –0.35 0.026 0.70 0.378 Y?
ri 0.22 ± 0.02 0.29 ± 0.03 0.03 ± 0.01 0.06 ± 0.01 82 0.68 1.41 0.42 0.075 0.83 0.895 N
jk –0.37 ± 0.06 –0.03 ± 0.08 0.18 ± 0.03 0.05 ± 0.04 82 0.10 2.53 –0.45 0.226 0.42 0.271 N
Without the red GCs
gi 0.67 ± 0.05 0.87 ± 0.05 0.07 ± 0.02 0.09 ± 0.02 76 0.61 2.39 –0.70 0.444 0.48 0.086 N
ui 1.94 ± 0.06 2.36 ± 0.04 0.18 ± 0.03 0.11 ± 0.03 78 0.43 2.77 –0.91 0.024 0.31 0.013 Y
ur 1.71 ± 0.06 2.07 ± 0.03 0.17 ± 0.03 0.08 ± 0.03 77 0.41 2.67 –0.97 0.005 0.34 0.006 Y
ik 0.04 ± 0.09 0.56 ± 0.13 0.23 ± 0.06 0.13 ± 0.06 74 0.23 2.80 –0.70 0.208 0.32 0.081 Y?
rj 0.70 ± 0.04 1.07 ± 0.08 0.13 ± 0.03 0.07 ± 0.04 74 0.25 3.47 –0.95 0.004 0.14 0.012 Y
gk 0.82 ± 0.12 1.51 ± 0.17 0.32 ± 0.10 0.14 ± 0.09 73 0.19 2.83 –0.85 0.136 0.29 0.032 Y?
ri 0.23 ± 0.01 0.32 ± 0.01 0.04 ± 0.01 0.01 ± 0.01 74 0.25 3.10 –0.97 0.004 0.22 0.011 Y
jk –0.44 ± 0.10 –0.22 ± 0.06 0.15 ± 0.04 0.09 ± 0.03 72 0.26 1.74 –0.35 0.705 0.71 0.395 N

Columns list: (1) color; (2, 3) mean and uncertainty of the first and second peaks in the double-Gaussian model; (4, 5) width and uncertainty of the first and second peaks; (6) number of GC candidates selected; (7) fraction of GC candidates associated with the second, red, peak; (8) separation of the peaks in units of the two Gaussian widths; (9) kurtosis of the distribution (DD ≥ 2 and negative kurtosis are required for significative split between thetwo Gaussian distributions); (10–12) GMM p-values based on the likelihood-ratio test p(χ2), peak separation p(DD), and kurtosis p(kurt), indicating the significance of the preference for a double-Gaussian over a single-Gaussian model (lower p-values are more significant); (13) assessment of the evidence for bimodality.

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