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SUMMARY:Deep learning-enabled size estimation of comets indicates a more d
 ynamic early solar system
DTSTART:20260521T121500Z
DTEND:20260521T131500Z
DTSTAMP:20260518T115700Z
UID:indico-event-3076@indico.obspm.fr
DESCRIPTION:Speakers: Shunjing Zhao (LTE)\n\nThe formation and evolution o
 f the Solar System’s two major comet reservoirs\, the Oort Cloud and the
  Scattered Disk\, remain poorly constrained. Observations of comet flux im
 ply a population ratio between these reservoirs that exceeds predictions f
 rom models of giant planet instability by more than two orders of magnitud
 e. A major source of uncertainty lies in determining comet sizes\, as the 
 nucleus is often obscured by the surrounding coma. Here we derive independ
 ent nucleus sizes for 28 comets by activity modeling with artificial intel
 ligence to infer sizes directly from variations in water emission. We find
  that long-period comets possess significantly larger nuclei than short-pe
 riod comets with comparable absolute brightness. Our results indicate that
  the Oort Cloud is nearly three orders of magnitude more populated than th
 e Scattered Disk\, implying that processes such as stellar flybys could ha
 ve played an important role in shaping the outer Solar System.\n\nhttps://
 indico.obspm.fr/event/3076/
LOCATION:Salle Denisse (PARIS)
URL:https://indico.obspm.fr/event/3076/
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