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Automated Probabilistic Classification of Transients and Variables

M. Turmon, J. Jewell, C. Donalek, Eilat Glikman

Year
2012
Citations
31

Abstract

Classification, Bayesian networks, Transients, Variables There is an increasing number of large, digital, synoptic sky surveys, in which repeated observations are obtained over large areas of the sky in multiple epochs. Likewise, there is a growth in the number of (often automated or robotic) follow-up facilities with varied capabilities in terms of instruments, depth, cadence, wavelengths, etc., most of which are

Keywords

SkyProbabilistic logicCadenceComputer scienceEvent (particle physics)Bayesian probabilityTransient (computer programming)Artificial intelligenceMachine learningMeteorology

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