124 citations · 410 across the 16 of their papers we have counts for
16 papers
Towards solving model bias in cosmic shear forward modeling
Benjamin Remy, Francois Lanusse, Jean-Luc Starck
As the volume and quality of modern galaxy surveys increase, so does the difficulty of measuring the cosmological signal imprinted in galaxy shapes. Weak gravitational lensing sour…
ShapeNet: Shape Constraint for Galaxy Image Deconvolution
F. Nammour, U. Akhaury, J. N. Girard +4
Deep Learning (DL) has shown remarkable results in solving inverse problems in various domains. In particular, the Tikhonet approach is very powerful to deconvolve optical astronom…
Probabilistic Mass Mapping with Neural Score Estimation
Benjamin Remy, Francois Lanusse, Niall Jeffrey +4
Weak lensing mass-mapping is a useful tool to access the full distribution of dark matter on the sky, but because of intrinsic galaxy ellipticies and finite fields/missing data, th…
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems
Zaccharie Ramzi, Benjamin Remy, Francois Lanusse +2
Deep neural networks have proven extremely efficient at solving a wide rangeof inverse problems, but most often the uncertainty on the solution they provideis hard to quantify. In…
Probabilistic Mapping of Dark Matter by Neural Score Matching
Benjamin Remy, Francois Lanusse, Zaccharie Ramzi +3
The Dark Matter present in the Large-Scale Structure of the Universe is invisible, but its presence can be inferred through the small gravitational lensing effect it has on the ima…
Likelihood-free inference with neural compression of DES SV weak lensing map statistics
Niall Jeffrey, Justin Alsing, François Lanusse
In many cosmological inference problems, the likelihood (the probability of the observed data as a function of the unknown parameters) is unknown or intractable. This necessitates…
Cosmological constraints with weak lensing peak counts and second-order statistics in a large-field survey
Austin Peel, Chieh-An Lin, Francois Lanusse +3
Peak statistics in weak lensing maps access the non-Gaussian information contained in the large-scale distribution of matter in the Universe. They are therefore a promising complem…
High Resolution Weak Lensing Mass-Mapping Combining Shear and Flexion
Francois Lanusse, Jean-Luc Starck, Adrienne Leonard +1
We propose a new mass-mapping algorithm, specifically designed to recover small-scale information from a combination of gravitational shear and flexion. Including flexion allows us…
Weak lensing reconstructions in 2D & 3D: implications for cluster studies
Adrienne Leonard, Francois Lanusse, Jean-Luc Starck
We compare the efficiency with which 2D and 3D weak lensing mass mapping techniques are able to detect clusters of galaxies using two state-of-the-art mass reconstruction technique…
SNIa detection in the SNLS photometric analysis using Morphological Component Analysis
A. Möller, V. Ruhlmann-Kleider, F. Lanusse +3
Detection of supernovae and, more generally, of transient events in large surveys can provide numerous false detections.In the case of a deferred processing of survey images, this…
PRISM: Recovery of the primordial spectrum from Planck data
F. Lanusse, P. Paykari, J. -L. Starck +3
The primordial power spectrum describes the initial perturbations that seeded the large-scale structure we observe today. It provides an indirect probe of inflation or other struct…
PRISM: Sparse recovery of the primordial spectrum from WMAP9 and Planck datasets
P. Paykari, F. Lanusse, J. -L. Starck +2
The primordial power spectrum is an indirect probe of inflation or other structure-formation mechanisms. We introduce a new method, named \textbf{PRISM}, to estimate this spectrum…
3D galaxy clustering with future wide-field surveys: Advantages of a spherical Fourier-Bessel analysis
F. Lanusse, A. Rassat, J. -L. Starck
Upcoming spectroscopic galaxy surveys are extremely promising to help in addressing the major challenges of cosmology, in particular in understanding the nature of the dark univers…
PRISM: Sparse Recovery of the Primordial Power Spectrum
P. Paykari, F. Lanusse, J. -L. Starck +2
The primordial power spectrum describes the initial perturbations in the Universe which eventually grew into the large-scale structure we observe today, and thereby provides an ind…
GLIMPSE: Accurate 3D weak lensing reconstructions using sparsity
Adrienne Leonard, François Lanusse, Jean-Luc Starck
We present GLIMPSE - Gravitational Lensing Inversion and MaPping with Sparse Estimators - a new algorithm to generate density reconstructions in three dimensions from photometric w…
Spherical 3D Isotropic Wavelets
F. Lanusse, A. Rassat, J. -L. Starck
Future cosmological surveys will provide 3D large scale structure maps with large sky coverage, for which a 3D Spherical Fourier-Bessel (SFB) analysis in spherical coordinates is n…