231 citations · 376 across the 20 of their papers we have counts for
22 papers
A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise
Nicolas Goeman, Pierre-Antoine Thouvenin, Pierre Chainais
Ill-posed inverse problems are encountered in numerous applications, possibly characterized by a highly non-linear forward model, both additive and multiplicative sources of noise,…
Chemical diversity of dense cores in Orion B: The role of the environment
Helena J. Mazurek, Maryvonne Gerin, Pierre Gratier +26
Prestellar cores are the sites of the earliest stages of star formation. Dust continuum observations are often used to identify and characterize their properties yet only a small f…
A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems
Maxime Bouton, Pierre-Antoine Thouvenin, Audrey Repetti +1
Markov Chain Monte Carlo (MCMC) algorithms are standard approaches to solve imaging inverse problems and quantify estimation uncertainties, a key requirement in absence of ground-t…
Tracers of the ionization fraction in dense and translucent molecular gas: II. Using mm observations to constrain ionization fraction across Orion B
Ivana Bešlić, Maryvonne Gerin, Viviana V. Guzmán +28
The ionization fraction () is a crucial parameter of interstellar gas, yet estimating it requires deep knowledge of molecular gas chemistry…
Time and covariance smoothing for restoration of bivariate signals
Yusuf Yigit Pilavci, Pierre Palud, Julien Flamant +3
In many applications and physical phenomena, bivariate signals are polarized, i.e. they trace an elliptical trajectory over time when viewed in the 2D planes of their two component…
Beetroots: spatially-regularized Bayesian inference of physical parameter maps -- Application to Orion
Pierre Palud, Emeric Bron, Pierre Chainais +28
The current generation of millimeter receivers is able to produce cubes of 800 000 pixels by 200 000 frequency channels to cover several square degrees over the 3 mm atmospheric wi…
Estimating the dense gas mass of molecular clouds using spatially unresolved 3 mm line observations
Antoine Zakardjian, Annie Hughes, Jérôme Pety +28
We aim to develop a new method to infer the sub-beam probability density function (PDF) of H2 column densities and the dense gas mass within molecular clouds using spatially unreso…
Denoising bivariate signals via smoothing and polarization priors
Yusuf Yigit Pilavci, Jérémie Boulanger, Pierre-Antoine Thouvenin +1
We propose two formulations to leverage the geometric properties of bivariate signals for dealing with the denoising problem. In doing so, we use the instantaneous Stokes parameter…
Toward a robust physical and chemical characterization of heterogeneous lines of sight: The case of the Horsehead nebula
Léontine Ségal, Antoine Roueff, Jérôme Pety +28
Dense cold molecular cores/filaments are surrounded by an envelope of translucent gas. Some of the low-J emission lines of CO and HCO isotopologues are more sensitive to the co…
Quantifying the informativity of emission lines to infer physical conditions in giant molecular clouds. I. Application to model predictions
Lucas Einig, Pierre Palud, Antoine Roueff +29
Observations of ionic, atomic, or molecular lines are performed to improve our understanding of the interstellar medium (ISM). However, the potential of a line to constrain the phy…
Bias versus variance when fitting multi-species molecular lines with a non-LTE radiative transfer model
Antoine Roueff, Jérôme Pety, Maryvonne Gerin +28
Robust radiative transfer techniques are requisite for efficiently extracting the physical and chemical information from molecular rotational lines.We study several hypotheses that…
HCN emission from translucent gas and UV-illuminated cloud edges revealed by wide-field IRAM 30m maps of Orion B GMC: Revisiting its role as tracer of the dense gas reservoir for star formation
M. G. Santa-Maria, J. R. Goicoechea, J. Pety +28
We present 5 deg^2 (~250 pc^2) HCN, HNC, HCO+, and CO J=1-0 maps of the Orion B GMC, complemented with existing wide-field [CI] 492 GHz maps, as well as new pointed observations of…
Neural network-based emulation of interstellar medium models
Pierre Palud, Lucas Einig, Franck Le Petit +22
The interpretation of observations of atomic and molecular tracers in the galactic and extragalactic interstellar medium (ISM) requires comparisons with state-of-the-art astrophysi…
Deep learning denoising by dimension reduction: Application to the ORION-B line cubes
Lucas Einig, Jérôme Pety, Antoine Roueff +29
Context. The availability of large bandwidth receivers for millimeter radio telescopes allows the acquisition of position-position-frequency data cubes over a wide field of view an…
Efficient sampling of non log-concave posterior distributions with mixture of noises
Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais +2
This paper focuses on a challenging class of inverse problems that is often encountered in applications. The forward model is a complex non-linear black-box, potentially non-inject…
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
Sampling-based algorithms are classical approaches to perform Bayesian inference in inverse problems. They provide estimators with the associated credibility intervals to quantify…
Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): II. Code and real data proof of concept
Pierre-Antoine Thouvenin, Arwa Dabbech, Ming Jiang +4
In a companion paper, a faceted wideband imaging technique for radio interferometry, dubbed Faceted HyperSARA, has been introduced and validated on synthetic data. Building on the…
Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): I. Algorithm and simulations
Pierre-Antoine Thouvenin, Abdullah Abdulaziz, Arwa Dabbech +2
Upcoming radio interferometers are aiming to image the sky at new levels of resolution and sensitivity, with wide-band image cubes reaching close to the Petabyte scale for SKA. Mod…
Partially Asynchronous Distributed Unmixing of Hyperspectral Images
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
So far, the problem of unmixing large or multitemporal hyperspectral datasets has been specifically addressed in the remote sensing literature only by a few dedicated strategies. A…
A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Hyperspectral unmixing is a blind source separation problem which consists in estimating the reference spectral signatures contained in a hyperspectral image, as well as their rela…
Online Unmixing of Multitemporal Hyperspectral Images accounting for Spectral Variability
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Hyperspectral unmixing is aimed at identifying the reference spectral signatures composing an hyperspectral image and their relative abundance fractions in each pixel. In practice,…
Hyperspectral unmixing with spectral variability using a perturbed linear mixing model
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Given a mixed hyperspectral data set, linear unmixing aims at estimating the reference spectral signatures composing the data - referred to as endmembers - their abundance fraction…