no code implementations • 12 Feb 2021 • Julien Aubert, Nicolas Gillet
Ground observatory and satellite-based determinations of temporal variations in the geomagnetic field probe a decadal to annual time scale range where Earth's core slow, inertialess convective motions and rapidly propagating, inertia-bearing hydromagnetic waves are in interplay.
Geophysics
no code implementations • 16 May 2019 • Jonathan Chardin, Grégoire Uhlrich, Dominique Aubert, Nicolas Deparis, Nicolas Gillet, Pierre Ocvirk, Joseph Lewis
CRADLE (Cosmological Reionization And Deep LEarning) is an autoencoder convolutional neural network that uses two-dimensional maps of the star number density and the gas density field at z=6 as inputs and that predicts 3D maps of the times of reionization $\mathrm{t_{reion}}$ as outputs.
Cosmology and Nongalactic Astrophysics
2 code implementations • 7 May 2018 • Nicolas Gillet, Andrei Mesinger, Bradley Greig, Adrian Liu, Graziano Ucci
The 21-cm power spectrum (PS) has been shown to be a powerful discriminant of reionization and cosmic dawn astrophysical parameters.
Cosmology and Nongalactic Astrophysics
