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.
C., Weiner Mansfield, M., Cubillos, P
3 Pith papers cite this work. Polarity classification is still indexing.
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New MAROON-X observations of HAT-P-70b detect multiple neutral and ionized metals with day-to-night wind signatures and demonstrate that ionization-aware retrievals yield abundance ratios closer to solar values except for enhanced nickel.
A comprehensive public dataset of simulated Ariel exoplanet transmission spectra is released to benchmark detrending algorithms, with an ML baseline highlighting dataset shift risks.
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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HAT-P-70b through the Eyes of MAROON-X: Constraining Elemental Abundances of Metals and Insights on Atmosphere Dynamics
New MAROON-X observations of HAT-P-70b detect multiple neutral and ionized metals with day-to-night wind signatures and demonstrate that ionization-aware retrievals yield abundance ratios closer to solar values except for enhanced nickel.
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A public dataset of Ariel simulated observations for developing exoplanetary atmosphere data reduction pipelines
A comprehensive public dataset of simulated Ariel exoplanet transmission spectra is released to benchmark detrending algorithms, with an ML baseline highlighting dataset shift risks.