Gaia DR3

Contents of Gaia DR3 The third Gaia data release (Gaia DR3) consists of the set of data released as Gaia Early Data Release 3 on 3 December 2020 complemented with new data released on 13 June 2022.ember 2020 comprises: The full astrometric solution — positions on the sky (α, δ), parallaxes, and proper motions — for around 1.46 billion (1.46 10^9) sources, with a limiting magnitude of about G ≈ 21 and a bright limit of about G ≈ 3. The astrometric solution is accompanied with some new quality indicators, like RUWE, and source image descriptors. The full astrometric solution has been done as 5-parameter solution for 585 million sources and as 6-parameter solution for 882 million sources. In the 6-parameter solution, the additional fitted quantity is the so-called pseudo-colour that had to be included for sources without high-quality colour information. In addition, two-parameters solutions - positions on the sky (α, δ) - for around 344 million additional sources. G magnitudes for around 1.806 billion sources (with the known issue present in EDR3 corrected in Gaia DR3). G_BP and G_RP magnitudes for around 1.54 billion and 1.55 billion sources, respectively. In Gaia Data Release 3 (Gaia DR3), the above set of data is complemented with new products released on 13 June 2022: Object classifications for 1.59 billion sources and astrophysical parameters (T_eff, logg, [M/H], A_G, distance, etc.) from BP/RP spectra for 470 million objects, including MCMC samples for most sources with astrophysical parameters. Other astrophysical parameters from the BP/RP spectra include: Spectral types (217 million stars) and emission-line star classifications (57,000 stars); Spectroscopic parameters for 2.3 million hot stars, 94,000 ultra-cool stars, activity index for 1.3 million cool stars, and H-alpha emission for 235 million stars; Evolutionary parameters (mass and age) for 128 million stars; Astrophysical parameters for 348 million objects based on the assumption of an unresolved binary in the BP/RP spectra; Self-organised map (outlier) analysis based on 56 million sources with the weakest object classifications. (For more, please check html)