85 citations · 463 across the 18 of their papers we have counts for
19 papers
Accelerating non-LTE synthesis and inversions with graph networks
A. Vicente Arévalo, A. Asensio Ramos, S. Esteban Pozuelo
The computational cost of fast non-LTE synthesis is one of the challenges that limits the development of 2D and 3D inversion codes. It also makes the interpretation of observations…
Approximate Bayesian Neural Doppler Imaging
A. Asensio Ramos, C. Diaz Baso, O. Kochukhov
The non-uniform surface temperature distribution of rotating active stars is routinely mapped with the Doppler Imaging technique. Inhomogeneities in the surface produce features in…
Bayesian Stokes inversion with Normalizing flows
C. J. Díaz Baso, A. Asensio Ramos, J. de la Cruz Rodríguez
Stokes inversion techniques are very powerful methods for obtaining information on the thermodynamic and magnetic properties of solar and stellar atmospheres. In recent years, very…
Learning to do multiframe wavefront sensing unsupervisedly: applications to blind deconvolution
A. Asensio Ramos, N. Olspert
Observations from ground based telescopes are affected by the presence of the Earth atmosphere, which severely perturbs them. The use of adaptive optics techniques has allowed us t…
Inferring the 3-D shapes of extremely metal-poor galaxies from sets of projected shapes
J. Putko, J. Sanchez Almeida, C. Munoz-Tunon +3
The three-dimensional (3-D) shape of a galaxy inevitably is tied to how it has formed and evolved and to its dark matter halo. Local extremely metal-poor galaxies (XMPs; defined as…
Stokes Inversion based on Convolutional Neural Networks
A. Asensio Ramos, C. Diaz Baso
Spectropolarimetric inversions are routinely used in the field of Solar Physics for the extraction of physical information from observations. The application to two-dimensional fie…