activity
20182020
collaborators

5 papers

astro-ph.GA2020

Quantitative inference of the column densities from 3 mm molecular emission: A case study towards Orion B

Pierre Gratier, Jérôme Pety, Emeric Bron +21

Molecular hydrogen being unobservable in cold molecular clouds, the column density measurements of molecular gas currently rely either on dust emission observation in the far-IR or…

astro-ph.GA2020

Tracers of the ionization fraction in dense and translucent gas: I. Automated exploitation of massive astrochemical model grids

Emeric Bron, Evelyne Roueff, Maryvonne Gerin +21

The ionization fraction plays a key role in the physics and chemistry of the neutral interstellar medium, from controlling the coupling of the gas to the magnetic field to allowing…

astro-ph.GA2020

C18O, 13CO, and 12CO abundances and excitation temperatures in the Orion B molecular cloud: An analysis of the precision achievable when modeling spectral line within the Local Thermodynamic Equilibrium approximation

Antoine Roueff, Maryvonne Gerin, Pierre Gratier +23

CO isotopologue transitions are routinely observed in molecular clouds to probe the column density of the gas, the elemental ratios of carbon and oxygen, and to trace the kinematic…

stat.ME2019

Asymptotically exact data augmentation: models, properties and algorithms

Maxime Vono, Nicolas Dobigeon, Pierre Chainais

Data augmentation, by the introduction of auxiliary variables, has become an ubiquitous technique to improve convergence properties, simplify the implementation or reduce the compu…

stat.ME2018

Split-and-augmented Gibbs sampler - Application to large-scale inference problems

Maxime Vono, Nicolas Dobigeon, Pierre Chainais

This paper derives two new optimization-driven Monte Carlo algorithms inspired from variable splitting and data augmentation. In particular, the formulation of one of the proposed…