The WFCAM Multi-wavelength Variable Star Catalog
C. E. Ferreira Lopes, I. D\'ek\'any, M. Catelan, N. J. G. Cross, R., Angeloni, I. C. Le\~ao, J. R. De Medeiros

TL;DR
This study leverages multi-band optical-NIR data from the WFCAM archive to identify and classify variable stars, introducing new variability indices and expanding the catalog of NIR variable stars, including many previously unknown objects.
Contribution
It presents new variability indices tailored for multi-band data, applies them to discover and classify variable stars, and releases a comprehensive catalog of NIR variable stars from the WFCAM archive.
Findings
Identified 275 periodic variable stars and 44 suspected variables.
Discovered 34 new field RR Lyrae stars and 3 likely Cepheids.
Detected 32 embedded young stellar objects near dark nebulae.
Abstract
Stellar variability in the near-infrared (NIR) remains largely unexplored. The exploitation of public science archives with data-mining methods offers a perspective for the time-domain exploration of the NIR sky. We perform a comprehensive search for stellar variability using the optical-NIR multi-band photometric data in the public Calibration Database of the WFCAM Science Archive (WSA), with the aim of contributing to the general census of variable stars, and to extend the current scarce inventory of accurate NIR light curves for a number of variable star classes. We introduce new variability indices designed for multi-band data with correlated sampling, and apply them for pre-selecting variable star candidates, i.e., light curves that are dominated by correlated variations, from noise-dominated ones. Pre-selection criteria are established by robust numerical tests for evaluating the…
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