6 citations · 10 across the 15 of their papers we have counts for
18 papers
Physics-Informed Neural Networks vs U-Net: Application to thermal dust emission recovery in the microwave
Nicolas Morant Juan, José M. Casas, Laura Bonavera
Galactic thermal dust emission is the dominant foreground contaminant of the cosmic microwave background (CMB) at frequencies above 100 GHz, and its accurate separation is essentia…
AtLAST -- A five fold increase in the number of identified Strongly Lensed Galaxies in the sub-millimetre and its consequences
Joaquín González-Nuevo, Laura Bonavera, Juan Alberto Cano +6
Strong gravitational lensing is a powerful probe of cosmology, dark matter (DM), and high-redshift galaxy evolution, but current samples of strongly lensed galaxies (SLGs) remain f…
AtLAST -- Determination of Halo Mass Density Profiles at kpc Scales through Magnification Bias
Joaquín González-Nuevo, Laura Bonavera, Juan Alberto Cano +9
Magnification bias, the lensing-induced modification of background source number counts, provides a uniquely powerful probe of the mass density profiles of galaxies and clusters do…
AtLAST -- Cosmology with submillimetre galaxies magnification bias
Laura Bonavera, Joaquin Gonzalez-Nuevo, Juan Alberto Cano +10
Magnification bias offers a uniquely powerful and independent route to cosmological information. As a gravitational-lensing observable, it probes galaxy-matter correlations without…
Cosmic magnification on multi-catalogue Herschel submillimetre galaxies
R. Fernandez-Fernandez, M. M. Cueli, J. González-Nuevo +6
{Submillimetre galaxies (SMGs) are excellent background sources for magnification-bias studies, but the limited sky coverage in the submillimetre (sub-mm) band constrains their sta…
Candidate gravitationally lensed submillimeter galaxies in Herschel-ATLAS associated with WISE elliptical counterparts
Juan Alberto Cano, Joaquín González-Nuevo, Laura Bonavera +5
We present a new and independent methodology for identifying gravitational lens candidates using data from the H-ATLAS and AllWISE surveys. Unlike previous approaches, which are ty…
Spatial Variations of Polarized Synchrotron Emission in the QUIJOTE MFI Data using Neural Networks
J. M. Casas, L. Bonavera, J. González-Nuevo +7
Polarized synchrotron emission from ultra-relativistic electrons spiraling the Galactic magnetic field has become one of the most relevant emissions in the Interstellar medium thes…
Spectral Properties of Anomalous Microwave Emission in 144 Galactic Clouds
Roke Cepeda-Arroita, J. A. Rubiño-Martín, R. T. Génova-Santos +23
Anomalous Microwave Emission (AME) is a diffuse microwave component thought to arise from spinning dust grains, yet remains poorly understood. We analyze AME in 144 Galactic clouds…
The Einstein Gap: an unrecognised strong lensing feature in weak lensing mass density profiles
David Crespo, Joaquín González-Nuevo, Laura Bonavera +4
Magnification bias cross-correlations between galaxy clusters and high-redshift submillimetre galaxies have recently revealed a characteristic signal deficit at intermediate angula…
Recovering the CMB signal with neural networks
J. M. Casas, L. Bonavera, J. González-Nuevo +2
Component separation is the process of extracting one or more emission sources in astrophysical maps. It is therefore crucial to develop models that can accurately clean the cosmic…
Toward the measurement of neutrino masses: Performance of cosmic magnification with submillimeter galaxies
M. M. Cueli, S. R. Cabo, J. González-Nuevo +6
The phenomenon of magnification bias can induce a non-negligible angular correlation between two samples of galaxies with nonoverlapping redshift distributions. This signal is part…
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…
Mass density profiles at kiloparsec scales using the sub-millimetre galaxies magnification bias
D. Crespo, J. González-Nuevo, L. Bonavera +2
Gravitational lensing is a powerful tool for studying the distribution of mass in the Universe. Understanding the magnification bias effect in gravitational lensing and its impact…
Recovering CMB polarization maps with neural networks: Performance in realistic simulations
J. M. Casas, L. Bonavera, J. González-Nuevo +7
Recovering the polarized cosmic microwave background (CMB) is essential for shedding light on the exponential expansion of the very early Universe, known as cosmic inflation. Achie…
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…
Methodological refinement of the submillimeter galaxy magnification bias. I. Cosmological analysis with a single redshift bin
Marcos M. Cueli, Joaquín González-Nuevo, Laura Bonavera +3
The main goal of this work, the second in a three-paper series, is to test the impact of a methodological improvement in measuring the magnification bias signal on a sample of subm…
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…
Multi-frequency point source detection with fully convolutional networks: Performance in realistic microwave sky simulations
J. M. Casas, J. González-Nuevo, L. Bonavera +8
Point Source (PS) detection is an important issue for future Cosmic Microwave Background (CMB) experiments since they are one of the main contaminants to the recovery of CMB signal…