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Real-Time Classification of Transient Events in Synoptic Sky Surveys

Published online by Cambridge University Press:  20 April 2012

Ashish A. Mahabal
Affiliation:
California Institute of Technology, Pasadena, CA 91125, USA email: aam@astro.caltech.edu
C. Donalek
Affiliation:
California Institute of Technology, Pasadena, CA 91125, USA email: aam@astro.caltech.edu
S. G. Djorgovski
Affiliation:
California Institute of Technology, Pasadena, CA 91125, USA email: aam@astro.caltech.edu Distinguished visiting professor, King Abdulaziz Univ., Jeddah, Saudi Arabia.
A. J. Drake
Affiliation:
California Institute of Technology, Pasadena, CA 91125, USA email: aam@astro.caltech.edu
M. J. Graham
Affiliation:
California Institute of Technology, Pasadena, CA 91125, USA email: aam@astro.caltech.edu
R. Williams
Affiliation:
California Institute of Technology, Pasadena, CA 91125, USA email: aam@astro.caltech.edu
Y. Chen
Affiliation:
California Institute of Technology, Pasadena, CA 91125, USA email: aam@astro.caltech.edu
B. Moghaddam
Affiliation:
Jet Propulsion Laboratory, Pasadena, CA 91109, USA
M. Turmon
Affiliation:
Jet Propulsion Laboratory, Pasadena, CA 91109, USA
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Abstract

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An automated rapid classification of the transient events detected in modern synoptic sky surveys is essential for their scientific utility and effective follow-up when resources are scarce. 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 those challenges, using the ongoing CRTS sky survey as a testbed. We describe briefly some of the methods used.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2012

References

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