Variable star classification across the Galactic bulge and disc with the VISTA Variables in the V\'ia L\'actea survey
Thomas A. Molnar, Jason L. Sanders, Leigh C. Smith, Vasily Belokurov,, Philip Lucas, Dante Minniti

TL;DR
The paper introduces VIVACE, an ensemble classifier for variable stars in the VVV survey, achieving high accuracy and completeness, and demonstrates its scientific utility through studies of RR Lyrae stars and Gaia parallaxes.
Contribution
We developed VIVACE, a hierarchical classification pipeline for variable stars in the VVV survey, combining multiple data sources and achieving high-confidence classifications.
Findings
VIVACE catalog contains ~1.4 million variable stars with high-confidence classifications.
Achieved ~90% completeness for RRab and ~60% for RRc/d RR Lyrae stars.
Demonstrated scientific insights into RR Lyrae spatial distribution and Gaia parallax zeropoint.
Abstract
We present VIVACE, the VIrac VAriable Classification Ensemble, a catalogue of variable stars extracted from an automated classification pipeline for the Vista Variables in the V\'ia L\'actea (VVV) infrared survey of the Galactic bar/bulge and southern disc. 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 million light curves from the VIRAC v2 astrometric and photometric catalogue resulting in a catalogue of million likely variable stars, of which are high-confidence (classification…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Astronomical Observations and Instrumentation
