Listar por autor "Casas González, José Manuel"

CENN: a fully convolutional neural network for cmb recovery in realistic microwave sky simulations

Casas González, José Manuel

; Bonavera, Laura

; González-Nuevo González, Joaquín

; Baccigalupi, C.; Muñiz Cueli, Marcos

; Crespo Iglesias, David

; Goitia, E.; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Cos Juez, Francisco Javier de

(2022)

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

Casas González, José Manuel

; Bonavera, Laura

; González-Nuevo González, Joaquín

; Muñiz Cueli, Marcos

; Crespo Iglesias, David

; Goitia, E.; González Gutiérrez, Carlos

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Cos Juez, Francisco Javier de

(2023)

Cosmic insights from galaxy clusters: exploring magnification bias on sub-millimetre galaxies

Fernández Fernández, Rebeca

; Bonavera, Laura

; Crespo Iglesias, David

; González-Nuevo González, Joaquín

; Muñiz Cueli, Marcos

; Casas González, José Manuel

; Rodríguez Cabo, Sara

(2024)

Cosmology with the submillimetre galaxies magnification bias: tomographic analysis

Bonavera, Laura

; Muñiz Cueli, Marcos

; González-Nuevo González, Joaquín

; Ronconi, T.; Migliaccio, M.; Lapi, A.; Casas González, José Manuel

; Crespo Iglesias, David

(2021)

Galaxy cluster mass density profile derived using the submillimetre galaxies magnification bias

Fernández, L.; Muñiz Cueli, Marcos

; González-Nuevo González, Joaquín

; Bonavera, Laura

; Crespo Iglesias, David

; Casas González, José Manuel

; Lapi, A. (2022)

Machine Learning in Astrophysics and Cosmology

Casas González, José Manuel

(2023-12-13)

Mass density profiles at kiloparsec scales using the sub-millimetre galaxies magnification bias

Crespo Iglesias, David

; González-Nuevo González, Joaquín

; Bonavera, Laura

; Cueli, M. M.; Casas González, José Manuel

(2024)

Methodological refinement of the submillimeter galaxy magnification bias: I. Cosmological analysis with a single redshift bin

Muñiz Cueli, Marcos

; González-Nuevo González, Joaquín

; Bonavera, Laura

; Lapi, A.; Crespo Iglesias, David

; Casas González, José Manuel

(2024)

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

Bonavera, Laura

; Muñiz Cueli, Marcos

; González-Nuevo González, Joaquín

; Casas González, José Manuel

; Crespo Iglesias, David

(2024)

Multi-frequency point source detection with fully convolutional networks: performance in realistic microwave sky simulations

Casas González, José Manuel

; González-Nuevo González, Joaquín

; Bonavera, Laura

; Herranz, D.; Suárez Gómez, Sergio Luis

; Muñiz Cueli, Marcos

; Crespo Iglesias, David

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Sánchez Lasheras, Fernando

; Cos Juez, Francisco Javier de

(2022)

Quasi-stellar objects and galaxy mass density profiles derived using the submillimetre galaxies magnification bias

Crespo Iglesias, David

; González-Nuevo González, Joaquín

; Bonavera, Laura

; Muñiz Cueli, Marcos

; Casas González, José Manuel

; Goitia, E. (2022)

Tomography-based observational measurements of the halo mass function via the submillimeter magnification bias

Muñiz Cueli, Marcos

; Bonavera, Laura

; González-Nuevo González, Joaquín

; Crespo Iglesias, David

; Casas González, José Manuel

; Lapi, A. (2022)

Toward the measurement of neutrino masses: performance of cosmic magnification with submillimeter galaxies

Muñiz Cueli, Marcos

; Rodríguez Cabo, Sara

; González-Nuevo González, Joaquín

; Bonavera, Laura

; Lapi, A.; Viel, M.; Crespo Iglesias, David

; Casas González, José Manuel

; Fernández Fernández, Rebeca

(2024)

Listar por autor "Casas González, José Manuel"

CENN: a fully convolutional neural network for cmb recovery in realistic microwave sky simulations ﻿

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

Cosmic insights from galaxy clusters: exploring magnification bias on sub-millimetre galaxies ﻿

Cosmology with the submillimetre galaxies magnification bias: tomographic analysis ﻿

Galaxy cluster mass density profile derived using the submillimetre galaxies magnification bias ﻿

Machine Learning in Astrophysics and Cosmology ﻿

Mass density profiles at kiloparsec scales using the sub-millimetre galaxies magnification bias ﻿

Methodological refinement of the submillimeter galaxy magnification bias: I. Cosmological analysis with a single redshift bin ﻿

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

Multi-frequency point source detection with fully convolutional networks: performance in realistic microwave sky simulations ﻿

Quasi-stellar objects and galaxy mass density profiles derived using the submillimetre galaxies magnification bias ﻿

Tomography-based observational measurements of the halo mass function via the submillimeter magnification bias ﻿

Toward the measurement of neutrino masses: performance of cosmic magnification with submillimeter galaxies ﻿

CENN: a fully convolutional neural network for cmb recovery in realistic microwave sky simulations

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

Cosmic insights from galaxy clusters: exploring magnification bias on sub-millimetre galaxies

Cosmology with the submillimetre galaxies magnification bias: tomographic analysis

Galaxy cluster mass density profile derived using the submillimetre galaxies magnification bias

Machine Learning in Astrophysics and Cosmology

Mass density profiles at kiloparsec scales using the sub-millimetre galaxies magnification bias

Methodological refinement of the submillimeter galaxy magnification bias: I. Cosmological analysis with a single redshift bin

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

Multi-frequency point source detection with fully convolutional networks: performance in realistic microwave sky simulations

Quasi-stellar objects and galaxy mass density profiles derived using the submillimetre galaxies magnification bias

Tomography-based observational measurements of the halo mass function via the submillimeter magnification bias

Toward the measurement of neutrino masses: performance of cosmic magnification with submillimeter galaxies