Sampling high-dimensional Gaussian distributions for general linear inverse problems
This paper is devoted to the problem of sampling Gaussian distributions in high dimension.
Solutions exist for two specific structures of inverse covariance: sparse and circulant. The …
Solutions exist for two specific structures of inverse covariance: sparse and circulant. The …
Super resolution for astronomical observations
In order to obtain detailed information from multiple telescope observations a general blind
super-resolution (SR) reconstruction approach for astronomical images is proposed in this …
super-resolution (SR) reconstruction approach for astronomical images is proposed in this …
Superresolution Reconstruction of Severely Undersampled Point-spread Functions Using Point-source Stacking and Deconvolution
Point-spread function (PSF) estimation in spatially undersampled images is challenging
because large pixels average fine-scale spatial information. This is problematic when fine …
because large pixels average fine-scale spatial information. This is problematic when fine …
Estimating hyperparameters and instrument parameters in regularized inversion Illustration for Herschel/SPIRE map making
We describe regularized methods for image reconstruction and focus on the question of
hyperparameter and instrument parameter estimation, ie unsupervised and myopic …
hyperparameter and instrument parameter estimation, ie unsupervised and myopic …
Gradient scan Gibbs sampler: An efficient algorithm for high-dimensional Gaussian distributions
This paper deals with Gibbs samplers that include high dimensional conditional Gaussian
distributions. It proposes an efficient algorithm that avoids the high dimensional Gaussian …
distributions. It proposes an efficient algorithm that avoids the high dimensional Gaussian …
An automated approach for photometer and dust mass calculation of the Crab nebula
C Nehmé, S Kassounian, M Sauvage - Experimental Astronomy, 2019 - Springer
Ample evidence exists regarding supernovae being a major contributor to interstellar dust. In
this work, the deepest far-infrared observations of the Crab Nebula are used to revisit the …
this work, the deepest far-infrared observations of the Crab Nebula are used to revisit the …
Estimation of high-resolution dust column density maps-Comparison of modified black-body fits and radiative transfer modelling
M Juvela, J Malinen, T Lunttila - Astronomy & Astrophysics, 2013 - aanda.org
Context. Sub-millimetre dust emission is routinely used to derive the column density N of
dense interstellar clouds. The observations consist of data at several wavelengths but also …
dense interstellar clouds. The observations consist of data at several wavelengths but also …
Classification of proteomic MS data as Bayesian solution of an inverse problem
P Szacherski, JF Giovannelli, L Gerfault, P Mahé… - IEEE …, 2014 - ieeexplore.ieee.org
The cells in an organism emit different amounts of proteins according to their clinical state
(healthy/pathological, for instance). The resulting proteomic profile can be used for early …
(healthy/pathological, for instance). The resulting proteomic profile can be used for early …
A variational Bayesian approach for unsupervised super-resolution using mixture models of point and smooth sources applied to astrophysical map-making
We present, in this paper, a new unsupervised method for joint image super-resolution and
separation between smooth and point sources. For this purpose, we propose a Bayesian …
separation between smooth and point sources. For this purpose, we propose a Bayesian …
Super-resolution remote imaging using time encoded remote apertures
Imaging of scenes using light or other wave phenomena is subject to the diffraction limit. The
spatial profile of a wave propagating between a scene and the imaging system is distorted …
spatial profile of a wave propagating between a scene and the imaging system is distorted …