Gaia DR3 (gaiadr3)

Description

The Gaia Early Data Release 3 (Gaia (E)DR3) enhances the DR2 catalogs by 118.79 million objects. It includes five-parameter astrometric solutions – positions on the sky, parallaxes, and proper motions – for more than 585 million sources, an additional pseudo-colour parameter for 800 million further sources (called six-parameter solution), and an additional 400 million sources with only positions, for a total of more than 1.8 billion sources with a mean G magnitude.

Additionally from the 13th of June 2022, the full Gaia DR3 adds radial velocities for more than 33 million sources (about 4 times more than Gaia DR2). Followed by about 200 millions BP/RP spectra and about 1 million high resolution spectra from the radial velocity spectrometer (RVS). Finally Gaia DR3 publish a huge catalog of objects classification of more than 1.59 billion sources, and a large variaty of smaller specifica catalogs like non-single stars, variable sources, galaxy and QSO candidates, solar system objects, and more.

The Gaia (E)DR3 release delivers an overall improvement in sky-coverage (almost complete down to 19 mag) and a great improvement in precision of both astrometric and photometric measurements.

Gaia (E)DR3 data is based on data collected between 25 July 2014 and 28 May 2017, spanning a period of 34 months of data collection. The reference epoch for Gaia DR3 (both Gaia EDR3 and the full Gaia DR3) is J2016.0. Positions and proper motions are referred to the ICRS, to which the optical reference frame defined by Gaia DR3 (Gaia-CRF3) is aligned. The time coordinate for Gaia DR3 results is the barycentric coordinate time (TCB).

Attribution

If you have used Gaia data in your research, please use the following acknowledgement:

This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.

More information can be found on the credit and citation instructions page.

Tables

  • Gaia Source (gaiadr3.gaia_source)

    This table has an entry for every Gaia observed source as published with this data release. It contains the basic source parameters, in their final state as processed by the Gaia Data Processing and Analysis Consortium from the raw data coming from the spacecraft.

  • Gaia Source (gaiadr3.gaia_source_lite)

    This table has an entry for every Gaia observed source as published with this data release. It contains the basic source parameters, in their final state as processed by the Gaia Data Processing and Analysis Consortium from the raw data coming from the spacecraft.

  • DR2 Neighbourhood (gaiadr3.dr2_neighbourhood)

    This table provides the means to relate the astrophysical source identifier (source_id) from DR3 to DR2 via a precomputed crossmatch of such sources, taking into account the proper motions available at DR3.

  • Astrophysical Parameters (gaiadr3.astrophysical_parameters)

    This is the main table containing the 1D astrophysical parameters produced by the Apsis processing chain developed in Gaia DPAC CU8 (see Chapter cu8par). Additional parameters can be found in table astrophysical_parameters_supp.

  • Astrophysical Parameters supplement (gaiadr3.astrophysical_parameters_supp)

    This table contains additional parameters from the Apsis processing chain from modules that produce more than one result for a parameter.

  • Monte-Carlo Markov Chain (MCMC) samples for General Stellar Parametrizer from Photometry (GSP-Phot) parameters (gaiadr3.mcmc_samples_gsp_phot)

    This table hosts Monte-Carlo Markov Chain (MCMC) samples for the posterior probability distribution of all parameters derived from the General Stellar Parametrizer from Photometry (GSP-Phot).

  • Monte-Carlo Markov Chain (MCMC) samples for Multiple Source Classifier (MSC) parameters (gaiadr3.mcmc_samples_msc)

    This table hosts Monte-Carlo Markov Chain (MCMC) samples for the posterior probability distribution of all parameters derived from the Multiple Source Classifier.

  • Self-Organized Map neurons information of Apsis Outliers (OA) (gaiadr3.oa_neuron_information)

    This is the table hosting the content of a Self-Organized Map calculated from a dataset composed by outliers by the Apsis module OA. Each entry corresponds to parameters estimated for one particular neuron of the map. The prototype BP/RP spectrum for a particular neuron is available in another table: OaNeuronXpSpectra. See Section cu8par_apsis_oa for further details.

  • BP/RP spectrum prototypes (Xp Spectra) from Self-Organised-Map neurons of the Apsis Outliers (OA) (gaiadr3.oa_neuron_xp_spectra)

    This is the table hosting the prototype BP/RP spectrum corresponding to each of the neurons of the Self-Organised-Map produced by the Apsis module OA. Other neuron attributes, such as statistics on various parameters, are available in another table: OaNeuronInformation. See Section cu8par_apsis_oa for further details.

  • Total Galactic extinction Map (gaiadr3.total_galactic_extinction_map)

    This table provides the Total Galactic Extinction (TGE) map for extinction parameters A0 describing the effective total Galactic extinction and related uncertainties at four separate HEALPix levels, namely levels 6 to 9. For further details see Section cu8par_apsis_tge of the online documentation.

  • Optimized total galactic extinction map (gaiadr3.total_galactic_extinction_map_opt)

    This table provides an optimum version of the Total Galactic Extinction map, derived from the table total_galactic_extinction_map at a single HEALPix level 9. For this, the mean effective total Galactic extinction and related uncertainties have been selected from the optimal HEALPix level of the four offered in total_galactic_extinction_map. For further details see Section cu8par_apsis_tge of the online documentation.

  • auxiliary information about mean BP/RP spectra (gaiadr3.xp_summary)

    This tables contains auxiliary information about the mean BP/RP spectrum of a given source. It should be used in order to refine queries on spectra and build dedicated samples before interrogating the DataLink protocol to download the results of those queries.

  • Sampled BP/RP mean spectrum (gaiadr3.xp_sampled_mean_spectrum)

    This is the BP/RP externally calibrated sampled mean spectrum. All mean spectra are sampled to the same set of absolute wavelength positions, which can be found in the field wavelength of table XpMerge.

  • continuous BP/RP spectra (Xp Spectra) (gaiadr3.xp_continuous_mean_spectrum)

    Table hosting the mean BP and RP spectra based on the continuous representation in basis functions (see Section meanSpecGen).

  • mean sampled Radial Velocity Spectrometer (RVS) Spectra (gaiadr3.rvs_mean_spectrum)

    This is the RVS mean sampled spectrum table. The spectra are in the rest frame, they are normalised and their wavelength grid ranges from 846 to 870 nm in steps of 0.01 nm (2401 elements). See  Section cu6spe_meanspe for a description on how the mean spectra are obtained, and  DR3-DPACP-154 for a description of the spectra validation.

  • Epoch Photometry (gaiadr3.epoch_photometry)

    Epoch photometry. Each row in this table contains the light curve for a given object in bands G, BP and RP as stored in the DataLink Massive data base. This table makes extensive use of array types. It can be obtained selecting the RAW data structure option. A flat table (sparse cube), which one photometric point per source per row can be obtained using INDIVIDUAL or COMBINED. Note this table is not available through the main archive TAP interface, but via the Massive Data service, indexed by the VO Datalink protocol, described in Section cu9arch_product_linking.

  • Binary Masses (gaiadr3.binary_masses)

    Masses derived from the non-single stars (NSS) solutions with orbital parameters in table gaiadr3.nss_two_body_orbit.

  • Gaia DR3 source IDs for carbon stars (gaiadr3.gold_sample_carbon_stars)

    List of Gaia DR3 source IDs for carbon stars extracted from the main list of candidate carbon stars for having C2 and CN molecular bands significantly stronger than usual M stars DR3-DPACP-123.

  • Stellar astrophysical parameters of the golden sample of F, G, K, and M stars (gaiadr3.gold_sample_fgkm_stars)

    Stellar astrophysical parameters of the golden sample of F, G, K, and M stars from DR3-DPACP-123. Values are identical to the ones in the astrophysical_parameters and astrophysical_parameters_supp tables, but only those values retained after filtering are copied over.

  • Gaia DR3 source IDs of O, B, and A-type stars (gaiadr3.gold_sample_oba_stars)

    List of Gaia DR3 source IDs of O, B, and A-type stars having an effective temperature estimate provided by ESP-HS or/and GSP-Phot greater than 7,500~K. Based on the information available in the Gaia DR3 catalogue, various filters were applied in order to reduce as much as possible the pollution from other types of targets. See DR3-DPACP-123 for more details.

  • Gaia DR3 source IDs of candidates for solar analogues (gaiadr3.gold_sample_solar_analogues)

    Gaia DR3 source IDs of candidates for solar analogues selected from GSP-Spec via effective temperature, surface gravity and metallicity and from FLAME via mass and radius. For more details please refer to DR3-DPACP-123.

  • Recommended parameters for the Gaia Spectro-Photometric Standard stars (gaiadr3.gold_sample_spss)

    Recommended parameters for the Gaia Spectro-Photometric Standard stars (Pancino et al. 2021), selected as described in DR3-DPACP-123, from the available parameters produced by CU8 DR3-DPACP-157 and CU6 DR3-DPACP-159.

  • Bolometric luminosities and radii in solar units for a subset of ultracool dwarfs (gaiadr3.gold_sample_ucd)

    The table contains the bolometric luminosities and radii in solar units for a subset of ultracool dwarfs from the Gaia DR3 catalogue, as well as some intermediate quantities used in the selection of sources and in the derivation of the luminosities and radii. For more details please refer to DR3-DPACP-123.

  • Orbital parameters and uncertainties (gaiadr3.sso_orbits)

    Orbital parameters and uncertainties computed from the sso_observation astrometric data. The content of the table is described in the DR3 publication DR3-DPACP-150.

  • Gaia Synthetic Photometry Catalogue (GSPC) (gaiadr3.synthetic_photometry_gspc)

    This is a catalogue of synthetic photometry generated from the Gaia BP/RP mean spectra in Data Release 3 and standardised using wide and reliable sets of external standard stars.Only sources that have BP/RP mean spectra in Gaia DR3 can be included in this catalogue. Individual magnitudes and fluxes are included only if F > 30 in that passband, where F and σF are the flux and its uncertainty. Synthetic photometry is provided in a selection of photometric systems.Further details on the generation and composition of the catalogue are available in DR3-DPACP-93.

  • QSO candidates (gaiadr3.qso_candidates)

    This table contains parameters derived from various modules dedicated to the classification and characterisation of sources considered as QSO candidates. Together with those, the QSOs used to define the Gaia-CRF3 are also listed in this table. This table has been constructed with the intention to be complete rather than pure and, as such, it will contain a large fraction of non-genuine extragalactic sources. Purer samples can be drawn using dedicated flags or queries. Please refer to Chapter cu3qso of the on-line documentation for details about how this table was built, its content, and for recommendations regarding its exploitation.

  • QSO Catalogue name (gaiadr3.qso_catalogue_name)

    This table provides the list of input catalogues that have been used to select any given source for which morphological analysis parameters are provided in table qso_candidates. Each source may have been cross-matched to more than one catalogue and therefore can have several entries in the table. For DR3, the catalogues considered for this selection are mostly external, although sources identified by DPAC based on the classification performed by other processing have also been included here. Each catalogue is assigned a catalogue_id.

  • Galaxy Candidates (gaiadr3.galaxy_candidates)

    This table contains parameters derived from various modules dedicated to the classification and characterisation of sources considered as galaxy candidates. This table has been constructed with the intention to be complete rather than pure and, as such, it will contain a large fraction of non-genuine extragalactic sources. Purer samples can be drawn using dedicated flags or queries. Please refer to Chapter cu3qso of the on-line documentation for details about how this table was built, its content, and for recommendations regarding its exploitation.

  • Galaxy Catalogue name (gaiadr3.galaxy_catalogue_name)

    This table provides the list of input catalogues that have been used to select any given source for which morphological analysis parameters are provided in table galaxy_candidates. Each source may have been cross-matched to more than one catalogue and therefore can have several entries in the table. For DR3, the catalogues considered for this selection are mostly external, although sources identified by DPAC based on the classification performed by other processing have also been included here.Each catalogue is assigned a catalogue_id. For DR3 the only input list corresponds to that published in (Krone-Martins et al. 2022). Further details on these catalogues are given in the chapter on extended object processing (Section cu4eo_list).

  • Solar System Object observations (gaiadr3.sso_observation)

    Solar System object observations. Each table line contains data obtained during the transit of the source on a single CCD, during a single transit. The corresponding epoch is provided. Data not varying within the transit are repeated identically for all single observations of that transit.

  • mean BP/RP reflectance spectra of Solar System Objects (SSO) (gaiadr3.sso_reflectance_spectrum)

    This table contains the mean BP/RP reflectance spectra of asteroids computed as the ratio between the asteroid flux and an averaged solar analogue flux. In each row, the reflectance spectrum of a given asteroid is given at a given wavelength. Entries for all asteroids are concatenated into a single table.

  • Solar System Object (SSO) sources (gaiadr3.sso_source)

    This table contains data related to Solar System objects observed by Gaia. The quantities in the table are derived from data reduction and are associated to single objects.

  • non-single-star (NSS) astrometric models which proper motion is compatible with an acceleration solution (gaiadr3.nss_acceleration_astro)

    This table contains non-single-star astrometric models for sources having a non-linear proper motion which is compatible with an acceleration solution. Several possible models are hosted within the same table and they are indicated by the field nss_solution_type. The description of this latter lists all possible solution types considered for this release. Only a selection of parameters hosted in this table are provided here, depending on the solution. The details of those is given in the description of field bit_index, which can also be used to extract the relevant elements of the correlation vector corr_vec.Details about the formalism used to derive the parameters in this table are given in the on-line documentation, see Chapter cu4nss.

  • non-single-star (NSS) orbital models compatible with a trend (gaiadr3.nss_non_linear_spectro)

    This table contains non-single-star orbital models for spectroscopic binaries compatible with a trend. Several possible models are hosted within the same table and they are indicated by the field nss_solution_type. The description of this latter lists all possible solution types considered for this release. Only a selection of parameters hosted in this table are provided here, depending on the solution. The details of those is given in the description of field bit_index, which can also be used to extract the relevant elements of the correlation vector corr_vec. Details about the formalism used to derive the parameters in this table are given in the on-line documentation, see Chapter cu4nss.

  • non-single-star (NSS) orbital models compatible with two-body solution (gaiadr3.nss_two_body_orbit)

    This table contains non-single-star orbital models for sources compatible with an orbital two-body solution. This covers astrometric binaries, spectroscopic binaries, eclipsing binaries and certain combinations thereof. Several possible models are hosted within the same table and they are indicated by the field nss_solution_type. The description of this latter lists all possible solution types considered for this release. Only a selection of parameters hosted in this table are provided here, depending on the solution. The details of those is given in the description of field bit_index, which can also be used to extract the relevant elements of the correlation vector corr_vec.Details about the formalism used to derive the parameters in this table are given in the on-line documentation, see Chapter cu4nss. Warning: as a source may receive independent astrometric, spectroscopic or photometric orbits, a query using a given source_id may return several solutions. This has to be accounted for when doing a crossmatch by source_id.

  • non-single-star (NSS) models compatible with an Variability Induced Mover (VIM) (gaiadr3.nss_vim_fl)

    This table contains non-single-star models for sources compatible with an Variability Induced Mover (VIM) solution. Several possible models are in principle hosted within the same table and they are indicated by the field nss_solution_type. The description of this latter lists all possible solution types considered for this release. Only a selection of parameters hosted in this table are provided here, depending on the solution. The details of those is given in the description of field bit_index, which can also be used to extract the relevant elements of the correlation vector corr_vec.For DR3, only VIMF solutions are provided here. Details about the formalism used to derive the parameters in this table are given in the on-line documentation, see Chapter cu4nss.

  • Variable Sources: AGN (gaiadr3.vari_agn)

    This table provides information on AGN properties.

  • Variable Sources: Cepheid stars (gaiadr3.vari_cepheid)

    This table describes the Cepheid stars.

  • Variable Sources: Class Definitions (gaiadr3.vari_classifier_class_definition)

    Table with detailed descriptions of published classes for each classifier described in vari_classifier_definition and used in table vari_classifier_result. In DR3, this table contains the details of a classifier with classifier_name="nTransits:5+".

  • Variable Sources: Classifier Definitions (gaiadr3.vari_classifier_definition)

    Table with detailed descriptions of all classifiers used in table vari_classifier_result. Details of the published classes for each classifier can be found in vari_classifier_class_definition. In DR3, this table contains the details of a classifier with classifier_name="nTransits:5+".

  • Variable Sources: Classifier results (gaiadr3.vari_classifier_result)

    Table with variability classification results of all classifiers, which are identified by the classifier_name column. In DR3, multiple classifiers (depending on class) are combined into a single classifier with classifier_name="nTransits:5+", which is described in vari_classifier_definition and identifies the classes defined in vari_classifier_class_definition.

  • Variable Sources: Compact companions (gaiadr3.vari_compact_companion)

    This table describes the compact companion candidates.

  • Variable Sources: Eclipsing Binaries (gaiadr3.vari_eclipsing_binary)

    This table describes the properties of the eclipsing binaries resulting from the variability analysis.

  • Variable Sources: epoch radial velocity (gaiadr3.vari_epoch_radial_velocity)

    This table contains the epoch radial velocity data points for a sub-set of variable stars. Each entry is a radial velocity in the solar barycentric reference frame for a given object and observation time.

  • Variable Sources: Long Period Variable stars (gaiadr3.vari_long_period_variable)

    This table describes the Long Period Variable stars.Some entries can be NaN when absent.

  • Variable Sources: Microlensing events (gaiadr3.vari_microlensing)

    This table describes the microlensing events.

  • Variable Sources: Main Sequence (MS) oscillators (gaiadr3.vari_ms_oscillator)

    This table describes the main-sequence oscillators.

  • Variable Sources: Planetary Transit candidate events (gaiadr3.vari_planetary_transit)

    This table describes the Planetary Transit candidate events.

  • Variable Sources: radial velocity time series (gaiadr3.vari_rad_vel_statistics)

    Statistical parameters of radial velocity time series, using only transits not rejected, see rejected_by_variability column in vari_epoch_radial_velocity. Note that NaN will be reported when the parameter value is missing or cannot be calculated.

  • Variable Sources: solar-like stars with rotational modulation (gaiadr3.vari_rotation_modulation)

    This table describes the solar-like stars with rotational modulation.

  • Variable Sources: RR Lyrae stars (gaiadr3.vari_rrlyrae)

    This table describes the RR Lyrae stars.

  • Variable Sources: short-timescale sources (gaiadr3.vari_short_timescale)

    This table describes the short-timescale sources.

  • Variable Sources: Summary (gaiadr3.vari_summary)

    Summary table that provides the information on where a source_id can be found in the different variability tables and statistical parameters of time series, using only transits not rejected. Note that NULL is reported when the statistical parameter value is missing or cannot be calculated.

  • Commanded Scan Law (gaiadr3.commanded_scan_law)

    This table provides a representation of the Gaia scanning law over the 34 month time period covered by the Gaia Data Release 3 (from 2014-07-25 10:31:26 to 2017-05-28 08:46:29), including the Ecliptic Pole Scanning at the begin of the mission. Note that this is the commanded attitude of the spacecraft, the actual attitude could deviate from it by up to about 30 arcsec. Also, it does not contain any of the data interruptions that occurred during the real mission, of which the main ones are listed in Chapter [chap:cu0int], Section [cu0int_sec:release_framework].The scanning law has been sampled at a 10 second interval, in which the satellite rotates about 10 arcminutes (the target spin rate is actually 59.9641857803 arcsec/sec). Note that this is several times shorter than a typical field-of-view transit and the scan position angle will be practically constant during this interval.

  • Frame Rotator Source (gaiadr3.frame_rotator_source)

    Sources used to compute the Gaia reference frame.The AGIS frame rotator algorithm has two different parts: the reference frame orientation; and the reference frame spin. The reference frame orientation is fixed using the International Earth Rotation and Reference System Service (=IERS) position of a subset of IERS sources defining the third realization of the International Coordinate Reference Frame (Charlot et al., 2020, submitted to A&A), http://hpiers.obspm.fr/icrs-pc/newwww/icrf/index.php. The reference frame spin is defined using the Gaia proper motion of a list of QSOs. The reference frame algorithms have an outliers scheme. Hence for each aspect we provide the considered sources and the used sources actually used, and the number of used sources might be lower than the number of considered sources.

  • Alerts MixedIn Source ID (gaiadr3.alerts_mixedin_sourceids)

    Some photometric science alerts mix transits from their primary source and other sources in the catalogue. This is done when those sources are believed to be associated with a single, astrophysical source.This table lists the identifier for these mixed-in sources, linking them to the primary source_id listed in table science_alerts.

  • Gaia CRF3 cross-matches (gaiadr3.gaia_crf3_xm)

    This table contains the full cross-match information for the Gaia-CRF3 sources. The Gaia-CRF3 sources were selected from the cross-matches with 17 external QSO catalogues as detailed below (three of which are parts of ICRF3 described in the first paper). For each Gaia-CRF3 source the information in which external catalogue this source was found and which name(s) this source has in those external catalogues is provided. The table allows the user to get all sources from an external catalogue that are in Gaia-CRF3.

  • Science Alerts (gaiadr3.science_alerts)

    Table containing all Gaia Photometric Science Alerts triggered in the period 25-07-2014 to 28-05-2017, i.e.~the time span covered by DR3. A Gaia Photometric Science Alert is known to the community by its name Gaiannxyz where nn is the year number and xyz is an incrementing, alphabetic sequence starting at aaa. Science alerts have their details published on the WWW. Given the name of an alert, the URL for the published details can be derived, e.g. https://gsaweb.ast.cam.ac.uk/alerts/alert/Gaia18ahj for alert Gaia18ahj. The source_id associated to the alert may have other alternative matches in Gaia DR3. These other identifiers are listed in table alerts_mixedin_sourceids.

  • Agn Cross Id (gaiadr3.agn_cross_id)

  • Tycho-2 TDSC Merge (gaiadr3.tycho2tdsc_merge)

    Tycho-2 merged with the TDSC catalog and TDSC supplement.The Tycho Double Star Catalogue, (TDSC, ) contains 98482 components of double and multiple systems processed in the Tycho-2 context. It includes either original Tycho-2 data or results from a dedicated re-processing aimed at binaries. As pointed out by P. Marrese (personal communication), the TDSC star with identifier 29583 is redundant and it was therefore skipped. The TDSC supplement contains data from an additional 4777 components from either Hipparcos or Tycho-1. The Tycho-2 main catalogue  contains 2539913 sources, including many binaries, but a minimum separation of 0.8 arcsec was imposed during the catalogue construction. The Tycho-2 supplement-1 contains data for 17588 Hipparcos and Tycho-1 stars, which do not appear in the main catalogue, but only the 4777 stars relevant for TDSC are included here. The Tycho-2 supplement-2 contains an additional 1146 Tycho-1 stars of poor quality.We have merged Tycho-2 (main) with the TDSC main and supplement, keeping the Tycho-2 data model and extending it to include TDSC–specific fields. This is only possible to a certain degree as specified in detail below. In particular, Tycho-2 includes fields for mean position, proper motion etc. for a combination of Tycho-2 and several ground based catalogues. These fields are inherited for TDSC main stars, but were not derived for the TDSC supplement, where we only provide HIP proper motions. For Tycho-2 stars not in TDSC, blank TDSC fields were appended.

  • Hipparcos2 Best Neighbour (gaiadr3.hipparcos2_best_neighbour)

  • Hipparcos2 Neighbourhood (gaiadr3.hipparcos2_neighbourhood)

  • Tycho-2 TDSC Merge Best Neighbour (gaiadr3.tycho2tdsc_merge_best_neighbour)

  • Tycho-2 TDSC Merge Neighbourhood (gaiadr3.tycho2tdsc_merge_neighbourhood)

  • Pan-STARRS1 Best Neighbour (gaiadr3.panstarrs1_best_neighbour)

  • Pan-STARRS1 Neighbourhood (gaiadr3.panstarrs1_neighbourhood)

  • Panstarrs1 Join (gaiadr3.panstarrs1_join)

    Convenience table to be used to join Pan-STARRS1 DR1.1 catalogue with the cross-match results. The table links the external catalogue original source_id (original_ext_source_id) to the corresponding additional numerical identifier (clean_panstarrs1_oid). Both original_ext_source_id and clean_panstarrs1_oid are present in the cross-match output tables (panstarrs1_best_neighbour and panstarrs1_neighbourhood). However, in case there are suspected duplicates in the external catalogue, different original_ext_source_id will correspond to the same clean_panstarrs1_oid. In the cross-match output table only the original_ext_source_id of the source with the best astrometry among the suspected duplicates will be listed.In practice, users may use the original_ext_source_id in the original catalogue to find the matching source with the best astrometry. Users interested to find all matching suspected duplicates should instead use the clean_Panstarrs1_oid in the join with the cross-match result tables. See Chapter [chap:crossmatch], for more details on the duplicates in the external catalogues and their treatment in the cross-match computations.

  • SDSS DR13 Best Neighbour (gaiadr3.sdssdr13_best_neighbour)

  • SDSS DR13 Neighbourhood (gaiadr3.sdssdr13_neighbourhood)

  • Sdss DR13 Join (gaiadr3.sdssdr13_join)

    Convenience table to be used to join SDSS DR13 catalogue with the cross-match results. The table links the external catalogue original source_id (original_ext_source_id) to the corresponding additional numerical identifier (clean_sdssdr13_oid). Both original_ext_source_id and clean_sdssdr13_oid are present in the cross-match output tables (sdssdr13_best_neighbour and sdssdr13_neighbourhood). However, in case there are suspected duplicates in the external catalogue, different original_ext_source_id will correspond to the same clean_sdssdr13_oid. In the cross-match output table only the original_ext_source_id of the source with the best astrometry among the suspected duplicates will be listed. In practice, users may use the original_ext_source_id in the original catalogue to find the matching source with the best astrometry. Users interested to find all matching suspected duplicates should instead use the clean_sdssdr13_oid in the join with the cross-match result tables. See Chapter [chap:crossmatch] for more details on the duplicates in the external catalogues and their treatment in the cross-match computations.

  • SkyMapper DR2 Best Neighbour (gaiadr3.skymapperdr2_best_neighbour)

  • SkyMapper DR2 Neighbourhood (gaiadr3.skymapperdr2_neighbourhood)

  • Skymapper DR2 Join (gaiadr3.skymapperdr2_join)

    Convenience table to be used to join the SkyMapper DR2 catalogue with the cross-match results. It lists all the SkyMapper DR2 sources which were used in the cross-match. See Chapter [chap:crossmatch] for more details on the catalogue.

  • URAT-1 Best Neighbour (gaiadr3.urat1_best_neighbour)

  • URAT-1 Neighbourhood (gaiadr3.urat1_neighbourhood)

  • AllWISE Best Neighbour (gaiadr3.allwise_best_neighbour)

  • AllWISE Neighbourhood (gaiadr3.allwise_neighbourhood)

  • APASS DR9 Best Neighbour (gaiadr3.apassdr9_best_neighbour)

  • APASS DR9 Neighbourhood (gaiadr3.apassdr9_neighbourhood)

  • APASS DR9 Join (gaiadr3.apassdr9_join)

    Convenience table to be used to join the APASS DR9 catalogue with the cross-match results. The table links the external catalogue original source_id (original_ex_source_id) to the corresponding additional numerical identifier (clean_apassdr9_oid). Both original_ext_source_id and cleanApassdr9Oid are present in the cross-match output tables (apassdr9_best_neighbour and apassdr9_neighbourhood). However, in case there are suspected duplicates in the external catalogue, different original_ext_source_id will correspond to the same clean_apassdr9_oid. In the cross-match output table only the original_ext_source_id of the source with the best astrometry among the suspected duplicates will be listed. In practice, users may use the original_ext_source_id in the original catalogue to find the matching source with the best astrometry. Users interested in all matching suspected duplicates should instead use the clean_apassdr9_oid in the join with the cross-match result tables.See Chapter [chap:crossmatch] for more details on the duplicates in the external catalogues and their treatment in the cross-match computations.

  • GSC2.3 Best Neighbour (gaiadr3.gsc23_best_neighbour)

  • GSC2.3 Neighbourhood (gaiadr3.gsc23_neighbourhood)

  • GSC2.3 Join (gaiadr3.gsc23_join)

    Convenience table to be used to join the GSC 2.3 catalogue with cross-match results. The table links the external catalogue original sourceId (originalExtSourceId) to the corresponding additional numerical identifier (cleanGsc23Oid). Both originalExtSourceId and cleanGsc23Oid are present in the cross-match output tables (Gsc23BestNeighbour and Gsc23Neighbourhood).However, in case there are suspected duplicates in the external catalogue, different originalExtSourceId will correspond to the same cleanGsc23Oid. In the cross-match output table only the originalExtSourceId of the source with the best astrometry among the suspected duplicates will be listed.In practice, users may use the originalExtSourceId in the original catalogue to find the matching source with the best astrometry. Users interested to find all matching suspected duplicates should instead use the cleanGsc23Oid in the join with the cross-match result tables.See Chapter [chap:crossmatch] for more details on the duplicates in the external catalogues and their treatment in the cross-match computations.

  • RAVE DR5 Best Neighbour (gaiadr3.ravedr5_best_neighbour)

  • RAVE DR5 Neighbourhood (gaiadr3.ravedr5_neighbourhood)

  • RAVE DR5 Join (gaiadr3.ravedr5_join)

    Convenience table to be used to join RAVE DR5 catalogue with the cross-match results. The table links the external catalogue original sourceId (originalExtSourceId) to the corresponding additional numerical identifier (cleanRavedr5Oid).Both originalExtSourceId and cleanRavedr5Oid are present in the cross-match output tables (Ravedr5BestNeighbour and Ravedr5Neighbourhood).However, in case there are suspected duplicates in the external catalogue, different originalExtSourceId will correspond to the same cleanRavedr5Oid. In the cross-match output table only the originalExtSourceId of the source with the best astrometry among the suspected duplicates will be listed.In practice, users may use the originalExtSourceId in the original catalogue to find the matching source with the best astrometry. Users interested to find all matching suspected duplicates should instead use the cleanRavedr5Oid in the join with the cross-match result tables.See Chapter [chap:crossmatch], for more details on the duplicates in the external catalogues and their treatment in the cross-match computations.

  • 2MASS PSC XSC Best Neighbour (gaiadr3.tmass_psc_xsc_best_neighbour)

  • 2MASS PSC XSC Neighbourhood (gaiadr3.tmass_psc_xsc_neighbourhood)

  • 2MASS PSC XSC Join (gaiadr3.tmass_psc_xsc_join)

    Convenience table to be used to join 2MASS PSC+XSC catalogue with the cross-match results. The table links the external catalogue original sourceId (originalExtSourceId) to the corresponding additional numerical identifier (cleanTmassPscXscOid).Both originalExtSourceId and cleanTmassPscXscOid are present in the cross-match output tables (TmassPscXscBestNeighbour and TmassPscXscNeighbourhood). However, in case there are suspected duplicates in the external catalogue, different originalExtSourceId will correspond to the same cleanTmassPscXscOid.In the cross-match output table only the originalExtSourceId of the source with the best astrometry among the suspected duplicates will be listed. In practice, users may use the originalExtSourceId in the original catalogue to find the matching source with the best astrometry. Users interested to find all matching suspected duplicates should instead use the cleanTmassPscXscOid in the join with the cross-match result tables.See Chapter [chap:crossmatch] for more details on the duplicates in the external catalogues and their treatment in the cross-match computations.

  • Rave DR6 best neighbour (gaiadr3.ravedr6_best_neighbour)

    Table Ravedr6BestNeighbour lists each matched external catalogue object with its best neighbour in Gaia.

  • Rave DR6 Neighbourhood (gaiadr3.ravedr6_neighbourhood)

    Table Ravedr6Neighbourhood includes all good neighbours for each matched RAVE DR6 object.

  • Rave DR6 Join (gaiadr3.ravedr6_join)

    Convenience table to be used to join RAVE DR6 catalogue with the cross-match results.

  • Gaia Source Simulation (gaiadr3.gaia_source_simulation)

    Table of sources realised according to the Gaia Object Generator (GOG) simulation. Observed attributes are given with simulated observational uncertainties.This table contains the output of GOG. The values are obtained after adding the corresponding uncertainty (based on the error models) to the true values in table GaiaUniverseModel. Both the values and the uncertainties are provided.

  • Gaia Universe Model (gaiadr3.gaia_universe_model)

    Table of simulated galactic stars according to the Gaia Universal Model Simulation (GUMS). True values of the intrinsic simulated quantities (astrometry, photometry and physical parameters) for the sources generated by GOG using the Universe Model are given. No errors are added.