4 papers
Modified Bryson-Frazier Smoothing and Hyperparameter Learning for Temporal Gaussian Process Regression
Tom Colemont, Brecht Evens, Tjonnie G. F. Li +1
One-dimensional Gaussian processes with stationary, integrable kernel functions admit exact or arbitrarily accurate state-space representations, enabling linear-time inference thro…
Impact of a binary companion in AGB outflows on CO spectral lines
Owen Vermeulen, Mats Esseldeurs, Jolien Malfait +7
In the late stage of their evolution, low- to intermediate-mass stars pass through the asymptotic giant branch (AGB) phase, characterised by strong mass loss through dust driven wi…
A numerically stable comoving frame solver for line radiative transfer
Thomas Ceulemans, Frederik De Ceuster, Leen Decin
Radiative transfer is essential in astronomy, both for interpreting observations and simulating various astrophysical phenomena. However, self-consistent line radiative transfer is…
Magritte, a modern software library for spectral line radiative transfer
Thomas Ceulemans, Frederik De Ceuster, Leen Decin +1
Spectral line observations are an indispensable tool to remotely probe the physical and chemical conditions throughout the universe. Modelling their behaviour is a computational ch…