First TESS TTV catalog from 175 multi-TOI systems detects significant variations in 20 systems (13 new), showing 2:1 resonance pile-up unlike Kepler's 3:2.
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Water- and metal-rich atmospheres on compact hot mini-Neptunes lose mass more slowly than H/He cases at high enrichment levels due to enhanced cooling and higher mean molecular weight.
TOI-4311 hosts a 0.99-day super-Earth (1.38 R_earth, 4.5 M_earth) and 15-day sub-Neptune (2.47 R_earth), plus a candidate 38-day planet, with the dense inner planet potentially challenging formation theories given the host's galactic population.
CARMApy provides a Python interface to the ExoCARMA microphysics code, enabling simulation of cloud particle size distributions and rates in exoplanet atmospheres with claimed consistency to prior versions and speed gains of 1.9x single-threaded and 3.8x multithreaded.
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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Transit Timing Variations in TESS: A Catalog from the First Five Years
First TESS TTV catalog from 175 multi-TOI systems detects significant variations in 20 systems (13 new), showing 2:1 resonance pile-up unlike Kepler's 3:2.
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Escape of Water- and Metal-enriched Atmospheres from compact Hot mini-Neptunes with CHAIN
Water- and metal-rich atmospheres on compact hot mini-Neptunes lose mass more slowly than H/He cases at high enrichment levels due to enhanced cooling and higher mean molecular weight.
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An Ultra-Short Period Super-Earth and a Sub-Neptune Orbiting the K dwarf TOI-4311
TOI-4311 hosts a 0.99-day super-Earth (1.38 R_earth, 4.5 M_earth) and 15-day sub-Neptune (2.47 R_earth), plus a candidate 38-day planet, with the dense inner planet potentially challenging formation theories given the host's galactic population.
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CARMApy: An Open-Source Python Framework for Simulating Microphysical Clouds in Planetary Atmospheres
CARMApy provides a Python interface to the ExoCARMA microphysics code, enabling simulation of cloud particle size distributions and rates in exoplanet atmospheres with claimed consistency to prior versions and speed gains of 1.9x single-threaded and 3.8x multithreaded.
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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.