Table with variability classification results of all classifiers, identified by the classifier_name column.
In DR2 it contains a classifier with classifier_name=‘n_transits:2+’, description of which can be found in vari_classifier_definition and classes in vari_classifier_class_definition.
solution_id : Solution Identifier (long)
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 where 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
source_id : Unique source identifier (long)
A unique single numerical identifier of the source obtained from gaia_source (for a detailed description see gaia_source.source_id)
classifier_name : Classifier name used to produce this result, use for lookup in vari_classifier_definition table (string, Dimensionless[see description])
Classifier name used to produce this result, use for lookup in table vari_classifier_definition (only classifier_name=‘n_transits:2+’ is available in DR2).
best_class_name : Name of best class, see table vari_classifier_definition for details of the class (string, Dimensionless[see description])
Best class name with corresponding classification score in best_class_score.
For the ‘n_transits:2+’ classifier in DR2, the following classes are published: ‘ACEP’, ‘ARRD’, ‘CEP’, ‘DSCT_SXPHE’, ‘MIRA_SR’, ‘RRAB’, ‘RRC’, ‘RRD’, and ‘T2CEP’.
See vari_classifier_definition for a detailed description of this classifier and its published classes.
best_class_score : Score of the best class (double, Dimensionless[see description])
It describes a quantity between 0 and 1 which is related to the confidence of the classifier in the identification of the best class (classBestName) by a monotonically increasing function (depending on class).