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Paper: Stellar Variability Detection in the Era of Virtual Observatories
Volume: 362, The Seventh Pacific Rim Conference on Stellar Astrophysics
Page: 255
Authors: Shin, M.-S.; Byun, Y.-I.
Abstract: Large compilations of photometry data are expected in the coming virtual observatory era. Previously known variability indices and period determination methods are not robust enough to allow fully automatic examination of time series data. We have developed a new approach to detect stellar variability in heterogeneous time-series data with a distributed computing environment. The test of OGLE and SkyDOT data shows encouraging results when the observed data are compared with a set of simulated ones, using properties of periodic variability in the phase domain and combining various well-known statistical indices.
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