Show simple item record

dc.contributor.authorMolnar, Thomas A.
dc.contributor.authorSanders, Jason L.
dc.contributor.authorSmith, Leigh C.
dc.contributor.authorBelokurov, Vasily
dc.contributor.authorLucas, Philip
dc.contributor.authorMinniti, Dante
dc.date.accessioned2022-04-01T16:30:01Z
dc.date.available2022-04-01T16:30:01Z
dc.date.issued2021-10-30
dc.identifier.citationMolnar , T A , Sanders , J L , Smith , L C , Belokurov , V , Lucas , P & Minniti , D 2021 , ' Variable star classification across the Galactic bulge and disc with the VISTA Variables in the Vía Láctea survey ' , Monthly Notices of the Royal Astronomical Society , vol. 509 , no. 2 , pp. 2566-2592 . https://doi.org/10.1093/mnras/stab3116
dc.identifier.issn1365-2966
dc.identifier.otherArXiv: http://arxiv.org/abs/2110.15371v1
dc.identifier.otherORCID: /0000-0002-8872-4462/work/110878962
dc.identifier.urihttp://hdl.handle.net/2299/25458
dc.description© 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1093/mnras/stab3116
dc.description.abstractWe 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 $\sim490$ million light curves from the VIRAC v2 astrometric and photometric catalogue resulting in a catalogue of $\sim1.4$ million likely variable stars, of which $\sim39,000$ are high-confidence (classification probability $>0.9$) RR Lyrae ab stars, $\sim8000$ RR Lyrae c/d stars, $\sim187,000$ detached/semi-detached eclipsing binaries, $\sim18,000$ contact eclipsing binaries, $\sim1400$ classical Cepheid variables and $\sim2200$ Type II Cepheid variables. Comparison with OGLE-4 suggests a completeness of around $90\,\%$ for RRab and $\lesssim60\%$ for RRc/d, and a misclassification rate for known RR Lyrae stars of around $1\%$ for the high confidence sample. We close with two science demonstrations of our new VIVACE catalogue: first, a brief investigation of the spatial and kinematic properties of the RR Lyrae stars within the disc/bulge, demonstrating the spatial elongation of bar-bulge RR Lyrae stars is in the same sense as the more metal-rich red giant population whilst having a slower rotation rate of $\sim40\,\mathrm{km\,s}^{-1}\mathrm{kpc}^{-1}$; and secondly, an investigation of the Gaia EDR3 parallax zeropoint using contact eclipsing binaries across the Galactic disc plane and bulge.en
dc.format.extent27
dc.format.extent5175551
dc.language.isoeng
dc.relation.ispartofMonthly Notices of the Royal Astronomical Society
dc.subjectastro-ph.SR
dc.subjectastro-ph.GA
dc.titleVariable star classification across the Galactic bulge and disc with the VISTA Variables in the Vía Láctea surveyen
dc.contributor.institutionCentre for Astrophysics Research
dc.contributor.institutionCentre for Climate Change Research (C3R)
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Physics, Astronomy and Mathematics
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1093/mnras/stab3116
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record