Phase-resolved high-resolution spectroscopy of CoRoT-2b measures sub-synchronous rotation at 2.6-sigma significance, consistent with its western hotspot offset.
Title resolution pending
8 Pith papers cite this work. Polarity classification is still indexing.
years
2026 8representative citing papers
GRAVITY+ observations yield a 12CO/13CO ratio of 91^{+24}_{-17} in β Pictoris b consistent with solar/ISM values and a tentative 1.4% atmospheric variability amplitude.
UV irradiation makes water-dominated exoplanet haze analogs more absorbing from 0.5-8 μm, producing a detectable difference in the 2.6 μm N-H feature in modeled transmission spectra for GJ 1214b.
JWST MIRI/LRS data combined with archival observations detect magnesium silicate clouds (likely Mg2SiO4) in HD 209458b at 1-10 mbar with ~0.1 micron particles using a new rule-based data reduction approach.
Hydrolyzed haze analogs from water-rich exoplanet conditions show higher absorptivity and a high imaginary refractive index that flattens spectral features in atmospheric models.
Atmospheric retrievals on CRIRES+ spectra of 2MASS J0249-0557 c and two eta Pic YMG brown dwarfs give solar-like C/O, metallicity, and carbon isotope ratios, supporting gravitational collapse formation for the companion.
SPHEREx spectra of 37 field brown dwarfs show atmospheric models struggle with J/H/K peaks and 4um window especially at L/T transition, with data preferring weak-mixing Elf Owl models.
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.
citing papers explorer
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SPHEREx 0.75 to 5 $\mu$m Spectra for a Sequence of Nearby Brown Dwarfs
SPHEREx spectra of 37 field brown dwarfs show atmospheric models struggle with J/H/K peaks and 4um window especially at L/T transition, with data preferring weak-mixing Elf Owl models.
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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.