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=‘n_transits:5+’, which is described in vari_classifier_definition and identifies the classes defined in vari_classifier_class_definition.
All Gaia data processed by the Data Processing and Analysis Consortium comes tagged with a solution identifier. This is a numeric field attached to each table row that can be used to unequivocally identify the version of all the subsystems that were used in the generation of the data as well as the input data used. It is mainly for internal DPAC use but is included in the published data releases to enable end users to examine the provenance of processed data products. To decode a given solution ID visit https://gaia.esac.esa.int/decoder/solnDecoder.jsp
A unique single numerical identifier of the source obtained from gaia_source (for a detailed description see gaia_source.source_id).
Classifier name used to produce this result, to be used for lookup in table vari_classifier_definition (only classifier_name=‘n_transits:5+’ is available in DR3).
Best class name with corresponding classification score in best_class_score. For the ‘n_transits:5+’ classifier in DR3, the following classes are published: ‘ACV|CP|MCP|ROAM|ROAP|SXARI’, ‘ACYG’, ‘AGN’, ‘BCEP’, ‘BE|GCAS|SDOR|WR’, ‘CEP’, ‘CV’, ‘DSCT|GDOR|SXPHE’, ‘ECL’, ‘ELL’, ‘EP’, ‘LPV’, ‘MICROLENSING’, ‘RCB’, ‘RR’, ‘RS’, ‘S’, ‘SDB’, ‘SN’, ‘SOLAR_LIKE’, ‘SPB’, ‘SYST’, ‘WD’, and ‘YSO’. The ‘GALAXY’ classifications are largely due to artificial variability (see Section 10.3.3 of the release documentation for details) and their probabilities are published exclusively in column vari_best_class_score of table Galaxy.
See vari_classifier_class_definition for a detailed description of this classifier and its published classes.
It describes a quantity between 0 and 1 which is related to the (median) normalised rank of the confidence of the classifier(s) in the identification of the best class (best_class_name). In the special case of class ‘EP’, all scores are set to 1. See Section 10.3.4 of the release documentation for details.