Table 1.
Input data, models, training data, data products, and dependencies of the Apsis algorithms.
| Module | Category | Object | Input data |
Inference model |
Number | G | ||
|---|---|---|---|---|---|---|---|---|
| type | Non-Apsis | Apsis | Models | Empirical | (millions) | |||
| DSC | Probabilities, | SEB | XP, ϖ, | ExtraTrees/ | 1591 | < 21 | ||
| Classification | pm, G | Gauss.Mix | ||||||
| OA | Classification | O | XP | (DSC) | SOM | 56 | < 21 | |
| UGC | Galaxy redshift | E | XP | (DSC) | SVM | 2 | < 21 | |
| QSOC | Quasar redshift | E | XP | (DSC) | 6 | < 21 | ||
| GSP-Phot | Spectroscopic, | SI | XP, ϖ, G | MARCS/PHOENIX | 470 | < 19 | ||
| Interstellar, evolution | GBP,GRP | OB/A/PARSEC | ||||||
| GSP-Spec | Spectroscopic, | SI | RVS | MARCS | 6 | < 16 | ||
| Abundances, DIB | ||||||||
| MSC | Spectroscopic, | BI | XP | ExtraTrees | 350 | < 18.3 | ||
| Interstellar | (GSP-Phot) | |||||||
| ESP-ELS | Probabilities, | S | XP, RVS, | GSP-Phot | Random | 0.01 | < 17.65 | |
| Classification, | ϖ, G | Forest | ||||||
| Hα pEW | 235 | |||||||
| ESP-HS | Spectroscopic | S | XP, RVS, | ESP-ELS | A/OB | 2 | < 17.6 | |
| ϖ, G | ||||||||
| ESP-CS | Spectroscopic | S | RVS | (GSP-Spec) | MARCS | 2 | < 15 | |
| ESP-UCD | Spectroscopic | S | RP, ϖ, G | Gauss.Proc. | 0.1 | < 21 | ||
| FLAME | Evolution | S | ϖ, G | GSP-Phot | MARCS/BaSTI | 280 | < 18.3 | |
| GSP-Spec | MARCS/BaSTI | 5 | < 13 | |||||
| TGE | Map | I | GSP-Phot | – | < 19 | |||
Notes. The following notation is used: XP = BP/RP spectra (through sampled mean spectra), RVS = RVS spectra; ϖ = parallax, pm = proper motions, G = Gaia photometry which implies G, GBP, and/or GRP. Object Type is S, B, E, I, O for star, binary, extragalactic, interstellar, and outlier, respectively. Under Apsis Input Data, values in “()” mean that APs are used to initialise the analysis or as selection criteria only.
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