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.
month = feb, year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
astro-ph.EP 2years
2026 2roles
background 1polarities
background 1representative citing papers
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.
citing papers explorer
-
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.
-
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.