A fully Bayesian pixel-based Doppler imaging framework uses Gaussian Process priors and Hamiltonian Monte Carlo to simultaneously infer surface maps and geometric parameters from spectral data.
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3 Pith papers cite this work, alongside 103 external citations. Polarity classification is still indexing.
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For one atmospheric layer, a superrotating wind with a cos(latitude) pattern is indistinguishable from rapid solid-body rotation, but the illusion is exposed by measuring apparent rotation across different pressure levels.
Climate states on exoplanets with the same atmospheric composition create different reflectance spectra, changing the detectability of atmospheric features and biosignatures, with seasonal variations on high-obliquity worlds adding time-dependent signals.
citing papers explorer
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Bayesian Doppler Imaging: Simultaneous Inference of Surface Maps and Geometric Parameters
A fully Bayesian pixel-based Doppler imaging framework uses Gaussian Process priors and Hamiltonian Monte Carlo to simultaneously infer surface maps and geometric parameters from spectral data.
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The False Spin of an Exo-Venus
For one atmospheric layer, a superrotating wind with a cos(latitude) pattern is indistinguishable from rapid solid-body rotation, but the illusion is exposed by measuring apparent rotation across different pressure levels.
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Impact of Climate States and Seasons on Future Exo-Earth Observations
Climate states on exoplanets with the same atmospheric composition create different reflectance spectra, changing the detectability of atmospheric features and biosignatures, with seasonal variations on high-obliquity worlds adding time-dependent signals.