output
20022026
most citedThe Gaia mission

7.1k citations

Showing astro-ph.COShow all

19 papers · 1 filter

astro-ph.CO2025★ 1 cited

Cosmic magnification on high-redshift submillimeter galaxies

Marcos M. Cueli, Joaquín González-Nuevo, Laura Bonavera +1

Weak lensing magnification probes the correlation between galaxies and the underlying matter field in a similar fashion to galaxy-galaxy lensing shear. Although it has long been si…

astro-ph.CO2024★ 2 cited

Cosmic Insights from Galaxy Clusters: Exploring Magnification Bias on Sub-millimeter Galaxies

Rebeca Fernández-Fernández, Laura Bonavera, David Crespo +4

Magnification bias, an observational effect of gravitational lensing in the weak regime, allows testing the cosmological model through angular correlations of sources at different…

astro-ph.CO2023★ 6 cited

Methodological refinement of the submillimeter galaxy magnification bias. II. Cosmological analysis with tomography

L. Bonavera, M. M. Cueli, J. González-Nuevo +2

This paper is the third in a series on submillimeter galaxy magnification bias, focusing on the tomographic scenario. It refines the methodology used to constrain the halo occupati…

astro-ph.CO2023★ 1 cited

Methodological refinement of the submillimeter galaxy cross-correlation function measurements and their uncertainty estimation

J. González-Nuevo, L. Bonavera, M. M. Cueli +2

In this study, we aim to develop a new methodology to estimate the cross-correlation function and uncertainties and apply it to the analysis of magnification bias in galaxy surveys…

astro-ph.CO2023★ 1 cited

Constraining the polarisation flux density and angle of point sources by training a convolutional neural network

J. M. Casas, L. Bonavera, J. González-Nuevo +7

Constraining the polarisation properties of extragalactic point sources is a relevant task not only because they are one of the main contaminants for primordial cosmic microwave ba…

astro-ph.CO2022★ 18 cited

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…