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.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
Doppler images of UX Arietis show dominant mid-to-high latitude starspots with equatorial appendages that shift by half a rotation phase between 2017 and 2024, plus weak anti-solar differential rotation with a tidally locked equator.
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.
-
Starspot activity and surface differential rotation on UX Arietis
Doppler images of UX Arietis show dominant mid-to-high latitude starspots with equatorial appendages that shift by half a rotation phase between 2017 and 2024, plus weak anti-solar differential rotation with a tidally locked equator.