Water-hydrogen demixing occurs on warm sub-Neptunes with envelope metallicities of 150-700 times solar, including TOI-270 d, implying layered interiors and underestimated bulk metallicities when using fully-miscible models.
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Updated analysis of TOI-2134 with new TESS sectors and spectra confirms an inner mini-Neptune and outer eccentric sub-Saturn, measures their masses and radii, and reports a 59 degree obliquity for the outer planet via Rossiter-McLaughlin effect.
Photoevaporative and collisional mass losses diversify exoplanet parameter space in ways consistent with standard core accretion, enabling an expanded eight-class classification scheme.
Models coupling hydrogen-silicate-iron miscibility with atmospheric escape reproduce the observed mass-radius occurrence density of sub-Neptunes and super-Earths.
The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.
citing papers explorer
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Understanding eccentric temperate giants: an in-depth study of the architecture and stellar obliquity of the TOI-2134 system
Updated analysis of TOI-2134 with new TESS sectors and spectra confirms an inner mini-Neptune and outer eccentric sub-Saturn, measures their masses and radii, and reports a 59 degree obliquity for the outer planet via Rossiter-McLaughlin effect.
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Formation and evolution pathways of planets. I. Comparison between theory and observations
Photoevaporative and collisional mass losses diversify exoplanet parameter space in ways consistent with standard core accretion, enabling an expanded eight-class classification scheme.
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The Influences of Hydrogen-Silicate-Iron Miscibility on the Demographics of Sub-Neptunes and Super-Earths
Models coupling hydrogen-silicate-iron miscibility with atmospheric escape reproduce the observed mass-radius occurrence density of sub-Neptunes and super-Earths.
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Machine Learning as a Transformative Tool for (Exo-)Planetary Science
The paper reviews ML applications for sequence modeling, pattern recognition, and generative Bayesian analysis to tackle heterogeneous data challenges in (exo)planetary science.