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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/42374

Title: Classification of ASKAP vast radio light curves
Authors: Rebbapragada, Umaa
Lo, Kitty
Wagstaff, Kiri L.
Reed, Colorado
Murphy, Tara
Thompson, David R.
Keywords: Australian Square Kilometer Array Pathfinder (ASKAP)
Variables and Slow Transits (VAST)
radio astronomy
classification
data analysis
Issue Date: 19-Sep-2012
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012.
Citation: Proceedings IAU Symposium No. 285, 2011 New Horizons in Time Domain Astronomy, Oxford, England, September 19-23, 2012
Abstract: The VAST survey is a wide-field survey that observes with unprecedented instrument sensitivity (0.5 mJy or lower) and repeat cadence (a goal of 5 seconds) that will enable novel scientific discoveries related to known and unknown classes of radio transients and variables. Given the unprecedented observing characteristics of VAST, it is important to estimate source classification performance, and determine best practices prior to the launch of ASKAP’s BETA in 2012. The goal of this study is to identify light curve characterization and classification algorithms that are best suited for archival VAST light curve classification. We perform our experiments on light curve simulations of eight source types and achieve best case performance of approximately 90% accuracy. We note that classification performance is most influenced by light curve characterization rather than classifier algorithm.
URI: http://hdl.handle.net/2014/42374
Appears in Collections:JPL TRS 1992+

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