ArticleNature communications2026
Deep learning-enabled size estimation of comets indicates a more dynamic early solar system.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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5 authors.
Funding
Abstract
The formation and evolution of the Solar System's two major comet reservoirs, the Oort Cloud and the Scattered Disk, remain poorly constrained. Observations of comet flux imply a population ratio between these reservoirs that exceeds predictions from models of giant planet instability by more than two orders of magnitude. A major source of uncertainty lies in determining comet sizes, as the nucleus is often obscured by the surrounding coma. Here we derive independent nucleus sizes for 28 comets by activity modeling with artificial intelligence to infer sizes directly from variations in water emission. We find that long-period comets possess significantly larger nuclei than short-period comets with comparable absolute brightness. Our results indicate that the Oort Cloud is nearly three orders of magnitude more populated than the Scattered Disk, implying that processes such as stellar flybys could have played an important role in shaping the outer Solar System.
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