VIVACE, VIrac VAriable Classification Ensemble

Our procedure utilises a two-stage hierarchical classifier to first isolate likely variable sources using simple variability summary statistics and training sets of non-variable sources from the Gaia early third data release, and then classify candidate variables using more detailed light curve statistics and training labels primarily from OGLE and VSX.

The methodology is applied to point-spread-function photometry for ~490 million light curves from the VIRAC v2 astrometric and photometric catalogue resulting in a catalogue of ~1.4 million likely variable stars, of which ~39000 are high-confidence (classification probability >0.9) RR Lyrae ab stars, ~8000 RR Lyrae c/d stars, ~187000 detached/semi-detached eclipsing binaries, ~18000 contact eclipsing binaries, ~1400 classical Cepheid variables and ~2200 Type II Cepheid variables.