Early dark energy in the pre- and post-recombination epochs
Authors: Adrià Gómez-Valent, Ziyang Zheng, Luca Amendola, Valeria Pettorino, Christof Wetterich Journal: PRD Year: 07/2021 Download:…
Author: Jean-Luc Starck
Cosmology from LiteBIRD and synergy with large-scale surveys like Euclid
Position: PhD Deadline: 01/04/2022 Contact: Valeria Pettorino, Stéphane Ilic (IJLAB Orsay) Details about this…
Likelihood-free cosmological parameter inference using theoretical high-order statistics predictions
Position: PhD Deadline: 01/04/2022 Contact: Jean-Luc Starck, Sandrine Codis Details about this position are…
Caractérisation 4D de sources astronomiques de rayons X
Caractérisation 4D de sources astronomiques de rayons X This internship aims at 4D X-ray…
NC-PDNet: a Density-Compensated Unrolled Network for 2D and 3D non-Cartesian MRI Reconstruction
Deep Learning has become a very promising avenue for magnetic resonance image (MRI) reconstruction.…
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction
Deep neural networks have recently been thoroughly investigated as a powerful tool for MRI…
Power Spectrum Tutorial
This tutorial is meant to present how one can compute a power spectrum from…
Cosmostat Day on Machine Learning in Astrophysics
Date: March the 5th, 2021 Organizer: Joana Frontera-Pons <joana.frontera-pons@cea.fr> Venue: Remote conference. Zoom link:https://esade.zoom.us/j/88535176160?pwd=RzU1cHA5Z0xrWXkyN0x1a2tJSHZ1Zz09 On…
Starlet l1-norm for weak lensing cosmology
Authors: Virginia Ajani, Jean-Luc Starck, Valeria Pettorino Journal: Astronomy & Astrophysics , Forthcoming…
State-of-the-art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge
Accelerating MRI scans is one of the principal outstanding problems in the MRI research…