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Table 5

Results of GMM runs for the three Gaussian model.

Color Peak1 (NGC, σ) Peak2 (NGC, σ) Peak3 (NGC, σ) DD Kurtosis p(χ2) p(DD) p(kurt)
ui 1.94 (43.70, 0.19) 2.36 (33.30, 0.12) 2.92 (4.00, 0.06) 2.73 –0.04 0.024 0.351 0.675
gi 0.69 (39.10, 0.08) 0.88 (30.20, 0.06) 1.07 (11.60, 0.17) 2.54 0.93 0.111 0.511 0.974
ur 1.71 (45.40, 0.17) 2.07 (31.60, 0.08) 2.53 (4.00, 0.05) 2.67 –0.09 0.002 0.459 0.630
ik 0.04 (56.80, 0.23) 0.56 (16.60, 0.12) 0.96 (8.60, 0.08) 2.80 –0.59 0.071 0.345 0.157
rj 0.67 (44.60, 0.11) 1.04 (35.40, 0.17) 1.77 (1.00, 0.04) 2.61 0.77 0.002 0.470 0.961
gk 0.69 (43.00, 0.25) 1.33 (30.40, 0.26) 2.09 (7.60, 0.16) 2.49 –0.35 0.122 0.581 0.597
ri 0.23 (53.40, 0.04) 0.32 (16.10, 0.01) 0.36 (12.50, 0.06) 3.15 0.42 0.047 0.221 0.895
jk 0.44 (53.20, 0.15) –0.24 (14.20, 0.04) –0.03 (14.50, 0.07) 1.87 –0.45 0.474 0.618 0.271

Columns list: (1) color; (2–4) first, second and third peaks in the three Gaussian model, numbers within parentheses are the number of GCs associated with each peak, and the width of the distribution;(5) separation of the peaks in units of the three Gaussian widths; (6) kurtosis of the distribution; (7–9) GMM p-values, as in Table 4.

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