StarDB: variability analysis of the Northern Sky Variability Survey

Therefore, the next update will provide variability analysis for a large number of sources with matching to multi-wavelength observations from about 1350 angstrom (GALEX) to about 22 micrometer (WISE). We apply clustering methods to separate variable candidates from non-variable objects. The method is explained in the following papers: Detecting variability in massive astronomical time series data - I. Application of an infinite Gaussian mixture model (Shin et al., 2009, MNRAS, 400, 1897) Detecting Variability in Massive Astronomical Time-Series Data II: Variable Candidates in the Northern Sky Variability Survey (Shin et al., 2012, AJ, 143, 65).

In particular, the second paper explains all variable candidates found in the NSVS data with their associations to other observation data.