Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments
Authors: Euclid Collaboration, P. Paykari, ..., S. Farrens, M. Kilbinger, V. Pettorino, S. Pires,…
Category: publications_jls
J.-L. Starck’s publications
Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets
Deep learning is starting to offer promising results for reconstruction in Magnetic Resonance Imaging…
Constraining neutrino masses with weak-lensing multiscale peak counts
Massive neutrinos influence the background evolution of the Universe as well as the growth…
The first Deep Learning reconstruction of dark matter maps from weak lensing observational data
This is the first reconstruction of dark matter maps from weak lensing observational data…
Euclid: Non-parametric point spread function field recovery through interpolation on a Graph Laplacian
Authors: M.A. Schmitz, J.-L. Starck, F. Ngole Mboula, N. Auricchio, J. Brinchmann, R.I.…
A Distributed Learning Architecture for Scientific Imaging Problems
Authors: A. Panousopoulou, S. Farrens, K. Fotiadou, A. Woiselle, G. Tsagkatakis, J-L. Starck, P. Tsakalides Journal: arXiv Year: 2018…
Distinguishing standard and modified gravity cosmologies with machine learning
Authors: A. Peel, F. Lalande, J.-L. Starck, V. Pettorino, J. Merten, C. Giocoli,…
On the dissection of degenerate cosmologies with machine learning
Authors: J. Merten, C. Giocoli, M. Baldi, M. Meneghetti, A. Peel, F. Lalande,…
Breaking degeneracies in modified gravity with higher (than 2nd) order weak-lensing statistics
Authors: A. Peel, V. Pettorino, C. Giocoli, J.-L. Starck, M. Baldi Journal: A&A Year: 2018 Download:…
Improving Weak Lensing Mass Map Reconstructions using Gaussian and Sparsity Priors: Application to DES SV
Authors: N. Jeffrey, F. B. Abdalla, O. Lahav, F. Lanusse, J.-L. Starck, et al Journal: Year:…