Table 3
Results of cluster analysis for the CM parameters depicted in Figs. 14 and 12.
| 2 populations | w1 | w2 | w3 | w4 | μ1 ± σ1 | μ2 ± σ2 | μ3 ± σ3 | μ4 ± σ4 | |
|
|
|||||||||
| S | 0.15 | 0.15 | 0.13 ± 0.04 | 0.15 ± 0.04 | |||||
| ΔλD | [pm] | 16.00 | 47.00 | 23.96 ± 4.98 | 41.54 ± 5.57 | ||||
| τ0 | 0.31 | 0.33 | 0.66 ± 0.45 | 1.02 ± 0.52 | |||||
| vLOS | [km s-1] | −7.03 | −6.29 | 0.67 ± 10.58 | 0.19 ± 5.84 | ||||
|
|
|||||||||
| Cluster fraction | c1 = 43.4% | c2 = 56.6% | |||||||
|
|
|||||||||
| 3 populations | |||||||||
|
|
|||||||||
| S | 0.14 | 0.15 | 0.15 | 0.13 ± 0.05 | 0.13 ± 0.04 | 0.15 ± 0.04 | |||
| ΔλD | [pm] | 20.18 | 16.80 | 47.50 | 24.99 ± 5.15 | 25.37 ± 6.19 | 42.30 ± 6.52 | ||
| τ 0 | 0.36 | 0.34 | 0.32 | 0.56 ± 0.39 | 0.72 ± 0.48 | 1.04 ± 0.52 | |||
| v LOS | [km s-1] | −16.04 | 10.09 | −6.14 | −11.18 ± 5.34 | 7.79 ± 5.88 | −0.71 ± 4.78 | ||
|
|
|||||||||
| Cluster fraction | c1 = 16.2% | c2 = 33.0 | c3 = 50.8% | ||||||
|
|
|||||||||
| 4 populations | |||||||||
|
|
|||||||||
| S | 0.14 | 0.15 | 0.15 | 0.16 | 0.13 ± 0.05 | 0.13 ± 0.04 | 0.16 ± 0.04 | 0.15 ± 0.03 | |
| ΔλD | [pm] | 19.73 | 16.67 | 48.55 | 39.71 | 23.72 ± 4.98 | 23.81 ± 5.47 | 49.43 ± 4.30 | 37.03 ± 4.91 |
| τ 0 | 0.32 | 0.31 | 0.30 | 1.18 | 0.50 ± 0.36 | 0.67 ± 0.47 | 1.06 ± 0.55 | 1.00 ± 0.50 | |
| v LOS | [km s-1] | −16.38 | 10.20 | −5.51 | −4.75 | −12.33 ± 5.18 | 8.31 ± 6.10 | −0.41 ± 4.72 | −0.62 ± 5.48 |
|
|
|||||||||
| Cluster fraction | c1 = 43.1% | c2 = 17.2% | c3 = 27.3% | c4 = 12.4% | |||||
Notes. The cluster analysis was performed for k = 2–4 populations. The weights wi refer to the cluster centers. In addition, mean values μi along with the standard deviations σi were computed for the CM parameters of each cluster. The cluster fractions ci are given with respect to all good CM fits.
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