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...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Published: |
University of Chicago Press
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/28711 |