University of Hertfordshire

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From the same journal

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  • 1806.04061v1

    Accepted author manuscript, 4.4 MB, PDF document

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  • Nicolás Medina
  • Jura Borissova
  • Amelia Bayo
  • Radostin Kurtev
  • Claudio Navarro-Molina
  • Michael Kuhn
  • Nanda Kumar
  • Philip W. Lucas
  • Márcio Catelan
  • Dante Minniti
  • Leigh C. Smith
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Original languageEnglish
Article number11
Number of pages19
JournalThe Astrophysical Journal
Volume864
Issue1
DOIs
Publication statusPublished - 24 Aug 2018

Abstract

Time-varying phenomena are one of the most substantial sources of astrophysical information, and their study has led to many fundamental discoveries in modern astronomy. We have developed an automated tool to search for and analyze variable sources in the near-infrared K s band using the data from the VISTA Variables in the Vía Láctea (VVV) ESO Public Large Survey. This process relies on the characterization of variable sources using different variability indices calculated from time series generated with point-spread function (PSF) photometry of sources under analysis. In particular, we used two main indices, the total amplitude and the eta index η, to identify variable sources. Once the variable objects are identified, periods are determined with generalized Lomb-Scargle periodograms and the information potential metric. Variability classes are assigned according to a compromise between comparisons with VVV templates and the period of the variability. The automated tool is applied on VVV tiles d001 and d002 and led to the discovery of 200 variable sources. We detected 70 irregular variable sources and 130 periodic ones. In addition, nine open-cluster candidates projected in the region are analyzed, and the infrared variable candidates found around these clusters are further scrutinized by cross-matching their locations against emission star candidates from VPHAS+ survey H α color cuts.

Notes

27 pages, 19 figures

ID: 15573032