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A New Task: Deriving Semantic Class Targets for the Physical Sciences

Deriving semantic class targets for radio galaxy morphology improves classification schemes in radio astronomy surveys.

Year
2022
Venue
arXiv 2022
Authors
11
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arxiv.org/abs/2210.14760v2ARXIV-DEFAULT
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Abstract

We define deriving semantic class targets as a novel multi-modal task. By doing so, we aim to improve classification schemes in the physical sciences which can be severely abstracted and obfuscating. We address this task for upcoming radio astronomy surveys and present the derived semantic radio galaxy morphology class targets.

Authors

11