Table 6
Results of the two-sample Kolmogorov-Smirnov test.
| Normalied to the strongest | Normalied to HCN (1–0) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Narrow | Broad | Narrow | Broad | ||||||
| Classification | Objects | D | p-value | D | p-value | D | p-value | D | p-value |
| All lines | |||||||||
| High-mass YSO | Orion KL | 0.18 | 0.62 | 0.26 | 0.22 | 0.16 | 0.68 | 0.24 | 0.25 |
| Low-mass YSO | IRAS+04016 | 0.32 | 0.044 | 0.16 | 0.78 | 0.22 | 0.31 | 0.091 | 0.99 |
| C-rich AGB | IRC+10216 | 0.18 | 0.62 | 0.19 | 0.56 | 0.16 | 0.68 | 0.18 | 0.60 |
| O-rich AGB | IK Tauri | 0.29 | 0.085 | 0.16 | 0.78 | 0.11 | 0.97 | 0.24 | 0.25 |
| Red nova | CK Vul | 0.21 | 0.42 | 0.13 | 0.94 | 0.19 | 0.48 | 0.12 | 0.96 |
| Non-zero intensity lines | |||||||||
| High-mass YSO | Orion KL | 0.50 | 0.00013 | 0.36 | 0.083 | 0.50 | 0.00013 | 0.36 | 0.083 |
| Low-mass YSO | IRAS+04016 | 0.61 | 0.0012 | 0.38 | 0.23 | 0.47 | 0.018 | 0.20 | 0.89 |
| C-rich AGB | IRC+10216 | 0.26 | 0.36 | 0.30 | 0.28 | 0.26 | 0.36 | 0.30 | 0.28 |
| O-rich AGB | IK Tauri | 0.55 | 0.0026 | 0.42 | 0.19 | 0.23 | 0.56 | 0.57 | 0.012 |
| Red nova | CK Vul | 0.35 | 0.13 | 0.25 | 0.63 | 0.35 | 0.13 | 0.25 | 0.63 |
Notes. The D is the maximum deviation of the cumulative distribution function (i.e. F(x) – the fractional number of the lines with normalized intensities of ≤x) between two spectra. The p-value is the probability of two objects having similar spectral properties. The upper and lower parts list the results of using all the lines listed in Table 5 and the lines with non-zero intensity in at least one of the objects as the input data sets, respectively.
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