20 citations · 55 across the 4 of their papers we have counts for
4 papers
CENN: A fully convolutional neural network for CMB recovery in realistic microwave sky simulations
J. M. Casas, L. Bonavera, J. González-Nuevo +7
Component separation is the process with which emission sources in astrophysical maps are generally extracted by taking multi-frequency information into account. It is crucial to d…
Tomography-based observational measurements of the halo mass function via the submillimeter magnification bias
M. M. Cueli, L. Bonavera, J. Gonzalez-Nuevo +3
Aims. The main goal of this paper is to derive observational constraints on the halo mass fuction (HMF) by performing a tomographic analysis of the magnification bias signal on a s…
Galaxy cluster mass density profile derived using the submillimetre galaxies magnification bias
L. Fernandez, M. M. Cueli, J. González-Nuevo +4
In this work we want to study the average mass density profile of tens to hundreds of clusters of galaxies acting as lenses that produce a magnification bias on the SMGs, and to es…
Cosmology with the sub-millimetre galaxies magnification bias: Tomographic Analysis
L. Bonavera, M. M. Cueli, J. González-Nuevo +5
As in Gonzalez-Nuevo et al. 2017 and Bonavera et al. 2019, the high-z sub-millimetre galaxies can be used as background sample for gravitational lensing studies thanks to their mag…