Djorgovski, S. G. and Mahabal, A. A. and Donalek, C. and Graham, M. J. and Drake, A. J. and Moghaddam, B. and Turmon, M. (2012) Flashes in a star stream: Automated classification of astronomical transient events. In: 2012 IEEE 8th International Conference on E-Science. IEEE , Piscataway, NJ, pp. 1-8. ISBN 978-1-4673-4467-8. https://resolver.caltech.edu/CaltechAUTHORS:20130401-144342419
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Abstract
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 presents some unusual challenges: the data are sparse, heterogeneous and incomplete; evolving in time; and most of the relevant information comes not from the data stream itself, but from a variety of archival data and contextual information (spatial, temporal, and multi-wavelength). We are exploring a variety of novel techniques, mostly Bayesian, to respond to these challenges, using the ongoing CRTS sky survey as a testbed. The current surveys are already overwhelming our ability to effectively follow all of the potentially interesting events, and these challenges will grow by orders of magnitude over the next decade as the more ambitious sky surveys get under way. While we focus on an application in a specific domain (astrophysics), these challenges are more broadly relevant for event or anomaly detection and knowledge discovery in massive data streams.
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Additional Information: | © 2012 IEEE. This work is supported in part by the NASA grant 08- AISR08-0085, the NSF grants AST-0909182 and IIS-1118041, by the W. M. Keck Institute for Space Studies, and by the U.S. Virtual Astronomical Observatory, itself supported by the NSF grant AST-0834235. Some of this work was assisted by the Caltech students Nihar Sharma and Yutong Chen, supported by the Caltech SURF program. We thank numerous collaborators and colleagues, especially within the CRTS survey team and the world-wide Virtual Observatory and astroinformatics community, for stimulating discussions. | ||||||||||||||||
Group: | Keck Institute for Space Studies | ||||||||||||||||
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Subject Keywords: | classification; sky surveys; massive data streams; machine learning; Bayesian methods; automated decision making | ||||||||||||||||
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DOI: | 10.1109/eScience.2012.6404437 | ||||||||||||||||
Record Number: | CaltechAUTHORS:20130401-144342419 | ||||||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20130401-144342419 | ||||||||||||||||
Official Citation: | Djorgovski, S.G.; Mahabal, A.A.; Donalek, C.; Graham, M.J.; Drake, A.J.; Moghaddam, B.; Turmon, M., "Flashes in a star stream: Automated classification of astronomical transient events," E-Science (e-Science), 2012 IEEE 8th International Conference on , vol., no., pp.1,8, 8-12 Oct. 2012 doi: 10.1109/eScience.2012.6404437 | ||||||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||||
ID Code: | 37708 | ||||||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||||||
Deposited By: | Tony Diaz | ||||||||||||||||
Deposited On: | 04 Apr 2013 23:39 | ||||||||||||||||
Last Modified: | 09 Nov 2021 23:30 |
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