Supporting Distributed, Collaborative Review and Classification of Fast Transient Events

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Abstract

Open source software and machine learning help support a modern, high- throughput radio-astronomy experiment investigating fast transient events.

Author

Andrew F. Hart, Luca Cinquini, Shakeh E. Khudikyan, David R. Thompson, Chris A. Mattmann, Kiri Wagstaff, Joseph Lazio, and Dayton L. Jones,

Journal

Computer (IEEE Computer Society)

Paper Publication Date

2014

Paper Type

Astroinformatics

Paper

Hart14.pdf — 165 KB