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Flashes in a star stream: Automated classification of astronomical transient events

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. http://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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/eScience.2012.6404437DOIUNSPECIFIED
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6404437PublisherUNSPECIFIED
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
Funders:
Funding AgencyGrant Number
NASA08-AISR08-0085
NSFAST-0909182
NSFIIS-1118041
W. M. Keck Institute for Space Studies UNSPECIFIED
U. S. Virtual Astronomical ObservatoryUNSPECIFIED
NSFAST-0834235
Caltech SURF Program UNSPECIFIED
Subject Keywords:classification; sky surveys; massive data streams; machine learning; Bayesian methods; automated decision making
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INSPEC Accession Number13227747
Record Number:CaltechAUTHORS:20130401-144342419
Persistent URL:http://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:17 Mar 2014 18:55

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