Subject: catalogs / Resource Type: Catalog / Validation Level: 2 / Result Type: application/x-votable+xml

ID:: ivo://org.gavo.dc/arihip/q/cone
Title:: ARIHIP astrometric catalogue
Short Name:: arihip cone
Date:: 23 Mar 2022 13:13:11
Publisher:: The GAVO DC team
Description:: The catalogue ARIHIP has been constructed by selecting the 'best data' for a given star from combinations of HIPPARCOS data with Boss' GC and/or the Tycho-2 catalogue as well as the FK6. It provides 'best data' for 90 842 stars with a typical mean error of 0.89 mas/year (about a factor of 1.3 better than Hipparcos for this sample of stars).

ID:: ivo://org.gavo.dc/cns5/q/cone
Title:: The Fifth Catalogue of Nearby Stars (CNS5)
Short Name:: CNS5
Date:: 04 Sep 2023 13:07:14
Publisher:: The GAVO DC team
Description:: The Fifth Catalogue of Nearby Stars (CNS5) aims to provide the most volume-complete sample of stars in the solar neighbourhood. The CNS5 is compiled based on trigonometric parallaxes from Gaia EDR3 and Hipparcos, and supplemented with astrometric data from Spitzer and ground-based surveys carried out in the infrared. The CNS5 catalogue is statistically complete down to 19.7 mag in G-band and 11.8 mag in W1-band absolute magnitudes, corresponding to a spectral type of L8. Continuous updates of observational data for nearby stars from all sources were collected and evaluated. For all known stars in the 25 pc sphere around the Sun, the best values of positions in space, velocities, and magnitudes in different filters are presented.

ID:: ivo://org.gavo.dc/gcns/q/cone
Title:: The Gaia eDR3 Catalogue of Nearby Stars GCNS
Short Name:: eDR3 GCNS SCS
Date:: 06 Feb 2024 09:10:02
Publisher:: The GAVO DC team
Description:: This is a clean and well characterised catalogue of objects within 100pc of the Sun from the Gaia early third data release. We characterise the catalogue using the full data release, and comparisons to other catalogues in literature and simulations. For all candidates (measured parallax < 8 mas), we calculate a distance probability function using Bayesian procedures and mock catalogues for the prediction of the priors. For each entry using a random forest classifier we attempt to remove sources with spurious astrometric solutions. This results in 331312 objects that should contain at least 92% of stars within 100 pc at spectral type M9. GCNS comes with several auxiliary tables, in particular lists of resolved stellar systems, of known neary stars not found in eDR3 and of candidates of Hyades and ComaBer cluster members.

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