Correcting NIRISS charge migration reveals KELT-7 b as a metal-enriched (~92x solar) ultra-hot Jupiter with H2O, CO2 and TiO but no H- or clouds, orbiting a young metal-rich star.
E., Rooney, C
6 Pith papers cite this work. Polarity classification is still indexing.
abstract
Here we present an open-source cloud model for substellar atmospheres, called Virga. The Virga-v0 series has already been widely adopted in the literature. It is written in Python and has heritage from the Ackerman & Marley (2001) model (often referred to as eddysed), used to study clouds on both exoplanets and brown dwarfs. In the development of the official Virga-v1 we have retained all the original functionality of eddysed and updated/expanded several components including the back-end optical constants data, calculations of the Mie properties, available condensate species, saturation vapor pressure curves and formalism for fall speeds calculations. Here we benchmark Virga by reproducing key results in the literature, including the SiO2 cloud detection in WASP-17 b and the brown dwarf Diamondback-Sonora model series. Development of Virga is ongoing, with future versions already planned and ready for release. We encourage community feedback and collaborations within the GitHub code repository.
citation-role summary
citation-polarity summary
fields
astro-ph.EP 6years
2026 6roles
method 1polarities
use method 1representative citing papers
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.
Clouds drive over 1000 K heating at depth in sub-Neptune atmospheres, producing molten mantle interfaces for most planets in the sample and increasing abundances of O2, SiH4, and SiO by at least 36 percent.
Pre-computed grids of aerosol optical properties reduce computation time in exoplanet retrievals by 1.4-17x with negligible impact on retrieved parameters and scale to multiple species.
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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Mitigating Charge Migration in JWST NIRISS Reveals That KELT-7 b is a Metal-enriched Ultra-hot Jupiter Orbiting a Young Metal-rich Star
Correcting NIRISS charge migration reveals KELT-7 b as a metal-enriched (~92x solar) ultra-hot Jupiter with H2O, CO2 and TiO but no H- or clouds, orbiting a young metal-rich star.
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Magnesium Silicate Clouds in the Atmosphere of HD 209458b from a Rule-Based Tree-Structured Data Reduction
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.
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Hydrolyzed Hazes on Water-rich Exoplanets: Optical Constants and Detectability
Hydrolyzed haze analogs from water-rich exoplanet conditions show higher absorptivity and a high imaginary refractive index that flattens spectral features in atmospheric models.
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Impact of Clouds on the Atmosphere-Mantle Interface of Sub-Neptunes
Clouds drive over 1000 K heating at depth in sub-Neptune atmospheres, producing molten mantle interfaces for most planets in the sample and increasing abundances of O2, SiH4, and SiO by at least 36 percent.
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Pre-computed aerosol extinction, scattering and asymmetry grids for scalable atmospheric retrievals
Pre-computed grids of aerosol optical properties reduce computation time in exoplanet retrievals by 1.4-17x with negligible impact on retrieved parameters and scale to multiple species.
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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.