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.
arXiv preprint arXiv:2110.06271 , year=
3 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
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Tentative CO detection from WASP-33b eclipse data alone with SPIRou validates stacking ingresses/egresses and shows Doppler eclipse mapping can constrain rotation with additional observations.
Compact protoplanetary discs disperse inside-out when photoevaporation is limited to their cut-off radius, unlike the outside-in dispersal seen in extended discs.
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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Towards Doppler eclipse mapping of hot Jupiters. An observational perspective on WASP-33 b with SPIRou
Tentative CO detection from WASP-33b eclipse data alone with SPIRou validates stacking ingresses/egresses and shows Doppler eclipse mapping can constrain rotation with additional observations.
-
The dispersal of compact protoplanetary discs
Compact protoplanetary discs disperse inside-out when photoevaporation is limited to their cut-off radius, unlike the outside-in dispersal seen in extended discs.