Sub-Neptunes around metal-rich stars have a 42.6% conditional probability of cold Jupiters versus 14.5% for super-Earths, showing a metallicity-dependent correlation absent in the latter.
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Giant planet multiplicity is low, with 10.6% and 15.8% of Sun-like stars hosting at least one giant planet within 10 au across the two surveys, mostly as singles, inconsistent with scattering models.
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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Sub-Neptunes Show a Stronger Correlation with Cold Jupiters than Super-Earths Especially in Metal-rich Systems
Sub-Neptunes around metal-rich stars have a 42.6% conditional probability of cold Jupiters versus 14.5% for super-Earths, showing a metallicity-dependent correlation absent in the latter.
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The Intrinsic Multiplicity Distribution of Exoplanets Revealed from the Radial Velocity Method. II. Constraints on Giant Planet Multiplicity from Different Surveys
Giant planet multiplicity is low, with 10.6% and 15.8% of Sun-like stars hosting at least one giant planet within 10 au across the two surveys, mostly as singles, inconsistent with scattering models.
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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.
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