Ashish A. Mahabal, C. Donalek, S. G. Djorgovski, A. J. Drake, M. J. Graham, R. Williams, Y. Chen, B. Moghaddam, M. Turmon
An automated, rapid classification of transient events detected in the modern
synoptic sky surveys is essential for their scientific utility and effective
follow-up using scarce resources. This problem will grow by orders of magnitude
with the next generation of surveys. We are exploring a variety of novel
automated classification techniques, mostly Bayesian, to respond to these
challenges, using the ongoing CRTS sky survey as a testbed. We describe briefly
some of the methods used.
View original:
http://arxiv.org/abs/1111.3699
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