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Time-Domain Astroinformatics

Invited talk

Published online by Cambridge University Press:  29 August 2019

S. G. Djorgovski*
Affiliation:
California Institute of Technology, Pasadena, CA, USA email: george@astro.caltech.edu
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Abstract

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Time-Domain astronomy exercises all aspects of the Virtual Observatory framework and Astroinformatics. Applications of machine learning and statistics to the analysis of large numbers of light-curves will increasingly yield new results as the data accumulate. However, the most challenging problems remain in the arena of rapid classification of transient events and their automated follow-up prioritisation. The talk illustrated those issues with examples from recent or ongoing synoptic sky surveys.

Type
Contributed Papers
Copyright
© International Astronomical Union 2019