25 citations · 34 across the 5 of their papers we have counts for
5 papers
From Data to Software to Science with the Rubin Observatory LSST
Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford +97
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the…
Hybrid Physical-Neural ODEs for Fast N-body Simulations
Denise Lanzieri, François Lanusse, Jean-Luc Starck
We present a new scheme to compensate for the small-scales approximations resulting from Particle-Mesh (PM) schemes for cosmological N-body simulations. This kind of simulations ar…
Neural Posterior Estimation with Differentiable Simulators
Justine Zeghal, François Lanusse, Alexandre Boucaud +2
Simulation-Based Inference (SBI) is a promising Bayesian inference framework that alleviates the need for analytic likelihoods to estimate posterior distributions. Recent advances…
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…