Table 1.
Best-fit parameters of the multi-Gaussian model described in the text, applied to our two observation epochs.
| Spectrum | Phase | Emission | Absorption | ML class | |||||
|---|---|---|---|---|---|---|---|---|---|
| DP (km s−1) | FWHM (km s−1) | Height 1 | Height 2 | Offset (km s−1) | FWHM (km s−1) | Depth | |||
| 1A | 0.00 | 598 ± 73 | 420 ± 51 | 0.09 ± 0.01 | 0.14 ± 0.01 | –845 ± 142 | 476 ± 175 | –0.05 ± 0.01 | Blue-abs/abs |
| 2A | 0.02 | 595 ± 49 | 500 ± 77 | 0.16 ± 0.07 | 0.17 ± 0.07 | –73 ± 50 | 1146 ± 364 | –0.09 ± 0.07 | abs |
| 3A | 0.03 | 605 ± 39 | 421 ± 33 | 0.12 ± 0.01 | 0.11 ± 0.01 | – | – | – | abs |
| 4A | 0.04 | 625 ± 47 | 453 ± 53 | 0.12 ± 0.03 | 0.12 ± 0.03 | –93 ± 71 | 1288 ± 445 | –0.04 ± 0.03 | Blue-abs/abs |
| 5A | 0.05 | 633 ± 51 | 442 ± 40 | 0.09 ± 0.01 | 0.08 ± 0.01 | – | – | – | abs |
| 6A | 0.06 | 672 ± 41 | 452 ± 33 | 0.10 ± 0.01 | 0.08 ± 0.01 | – | – | – | abs |
| Average A | 603 ± 29 | 428 ± 25 | 0.10 ± 0.01 | 0.11 ± 0.01 | – | – | – | abs | |
| 1B | 2.35 | 608 ± 47 | 348 ± 34 | 0.06 ± 0.01 | 0.07 ± 0.01 | 1133 ± 38 | 280 ± 66 | –0.04 ± 0.01 | abs |
| 2B | 2.36 | 582 ± 51 | 433 ± 51 | 0.10 ± 0.02 | 0.11 ± 0.02 | 324 ± 145 | 1397 ± 276 | –0.05 ± 0.02 | abs |
| 3B | 2.38 | 553 ± 52 | 385 ± 43 | 0.09 ± 0.01 | 0.07 ± 0.01 | 1075 ± 35 | 352 ± 63 | –0.06 ± 0.01 | abs |
| 4B | 2.39 | 638 ± 39 | 464 ± 49 | 0.18 ± 0.05 | 0.13 ± 0.04 | 283 ± 134 | 1397 ± 276 | –0.09 ± 0.07 | abs |
| 5B | 2.40 | 616 ± 52 | 468 ± 54 | 0.17 ± 0.04 | 0.11 ± 0.03 | 336 ± 190 | 1113 ± 228 | –0.06 ± 0.05 | abs |
| 6B | 2.41 | 618 ± 45 | 461 ± 57 | 0.19 ± 0.07 | 0.14 ± 0.06 | – | – | – | abs |
| Average B | 574 ± 29 | 428 ± 25 | 0.09 ± 0.01 | 0.07 ± 0.01 | 1112 ± 40 | 411 ± 69 | –0.04 ± 0.01 | abs | |
Notes. The uncertainties are at the 68% confidence level. The FWHM of the two emission components is linked. We do not report absorption components whose depth was shallower than 2% of the continuum, in order to wnsure a 2σ detection over the S/N measured on the nearby continuum. We include the results from the machine-learning classification algorithm in the final column for reference.
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