Table 3
Spectroscopic reference studies. Top part: classical spectroscopy, bottom part: machine-learning approaches.
| Reference | Instrument | Wavelength (Å) | Resolving power R | Model/Method |
|---|---|---|---|---|
| Cristofari et al. (2022a) | SPIRou | 9670–23 200 | 70 000 | MARCS |
| Mann et al. (2015) | SNIFS | 3200–9700 | 1000 | SED fitting |
| Mann et al. (2015) | SpeX | 8000–24 000 | 2000 | SED fitting |
| Maldonado et al. (2020) | HARPS/HARPS-N | 5300–6900 | 115 000 | Pseudo EW(d) |
| Passegger et al. (2019)(a) | CARMENES | 7000–15 200 | >80000(c) | PHOENIX |
| Sarmento et al. (2021) | APOGEE | 15 000–17 000 | 22 500 | MARCS |
| Souto et al. (2022) | APOGEE | 15 000–17 000 | 22 500 | MARCS |
| Birky et al. (2020)(b) | APOGEE | 15 000–17 000 | 22 500 | The Cannon |
| Passegger et al. (2022) | CARMENES | 8800–8835 | >80000(c) | Deep Learning A |
| Passegger et al. (2022) | CARMENES | 6477–12 816 | >80000(c) | Deep Learning C2 |
Notes. (a)In Passegger et al. (2019) the log g is given by evolutionary models (PARSEC) corresponding to Teff and [Fe/H] at each step of the spectrum fit.(b)Birky et al. (2020) only derived the parameters Teff and [Fe/H], all other studies Teff, log g, and [Fe/H].(c)The resolving power for CARMENES is R ∼ 94 600 and R ∼ 80 500 in the visible and NIR, respectively. (d) Maldonado et al. (2020) used ratios of pseudo-equivalent widths of spectral features described in Maldonado et al. (2015).
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