A machine learning classifier for fast radio burst detection at the VLBA

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A machine learning classifier for fast radio burst detection at the VLBA

Time domain radio astronomy observing campaigns frequently generate large volumes of data. Our goal is to develop automated methods that can identify events of interest buried within the larger data stream. The V-FASTR fast transient system was designed to detect rare fast radio bursts within data c...

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Bibliographic Details
Main Authors:	Wagstaff, K., Tang, B., Thompson, D., Khudikyan, S., Wyngaard, J., Deller, A., Palaniswamy, D., Tingay, Steven, Wayth, Randall
Format:	Journal Article
Published:	University of Chicago Press 2016
Online Access:	http://hdl.handle.net/20.500.11937/28711

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