Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-29T13:34:45.398Z Has data issue: false hasContentIssue false
  • English
  • Français

Time-Domain Astroinformatics

Invited talk

Published online by Cambridge University Press:  29 August 2019

S. G. Djorgovski
S. G. Djorgovski*
Affiliation:
California Institute of Technology, Pasadena, CA, USA email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

Keywords

Methods: data analysisSurveys
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 14 , Symposium S339: Southern Horizons in Time-Domain Astronomy , November 2017 , pp. 23
Copyright
© International Astronomical Union 2019