Training a convolutional neural network for real–bogus classification in the ATLAS survey
We present a convolutional neural network (CNN) for use in the real–bogus classification of transient detections made by the Asteroid Terrestrial-impact Last Alert System (ATLAS) and subsequent efforts to improve performance since initial development. In transient detection surveys, the number of al...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Oxford University Press
2024
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