Identification of low surface brightness tidal features in galaxies using convolutional neural networks
Faint tidal features around galaxies record their merger and interaction histories over cosmic time. Due to their low surface brightnesses and complex morphologies, existing automated methods struggle to detect such features and most work to date has heavily relied on visual inspection. This present...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Oxford University Press
2018
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