VizieR Online Data Catalog: Gaia synthetic phot. cat. of white dwarfs (Gaia Coll., 2023)

We have made the GSPC-WD synthetic photometry available as a stand-alone catalogue, including SDSS, JKC and JPLUS XPSP and the DA classification probability. The photometry of the individual J-PAS bands, used in the random forest analysis, is not included due to their low signal-to-noise. For WDs classified in SDSS, a subset of which were used in the training/validation of the random forest algorithm, we also include the full SDSS classifications as a separate column in the GSPC-WD catalogue table. When the synthetic spectral bands are very narrow a significant number of sources will have low signal-to-noise. Furthermore, at the edges of the Gaia spectral range, away from the peak of the effective area, this is also true for some stars in the wider bands included in the catalogue. In some extreme cases, there is no significant detection of the object. The random forest algorithm is only able to classify a WD when valid flux measurements are available for every photometric band we include in the analysis. Therefore, no classification is recorded in the catalogue when data for one or more bands is "missing". In total 15,003 WDs from the total sample of 101,783 are not classified. For completeness, we have made all the flux measurements and corresponding magnitudes available for all objects in the GSPC-WD. Hence magnitude/fluxes with very large errors, up to several times the flux itself, are included. However, where fluxes are negative, the magnitudes are not defined. When using the catalogue, appropriate signal-to-noise cuts are advisable for the specific work in-hand, to ensure data quality.

(1 data file).