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The SED Machine - Fast classification of transient objects

Published online by Cambridge University Press:  06 January 2014

Andreas Ritter
Affiliation:
Graduate Department of Astronomy, National Central University, email: azuri.ritter@gmail.com
N. Konidaris
Affiliation:
California Institute of Technology, CA, USA
C. C. Ngeow
Affiliation:
Graduate Department of Astronomy, National Central University, email: azuri.ritter@gmail.com
R. Quimby
Affiliation:
University of Tokyo, Japan
S. Ben-Ami
Affiliation:
The Weizmann Institute of Science, Israel
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Abstract

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The field of time-domain astronomy is expected to enjoy a golden age during this decade. However, the traditional method for the classification of transient candidates using spectra obtained with medium- to large-aperture telescopes is extremely time consuming and struggling to keep up with the discovery rate. The Spectral Energy Distribution (SED) Machine uses a new approach in order to overcome this shortcoming.

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Contributed Papers
Copyright
Copyright © International Astronomical Union 2014 
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