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antonio.ferragamo@uniroma1.it
Antonio Ferragamo
Assegnista di ricerca
Struttura:
DIPARTIMENTO DI FISICA
E-mail:
antonio.ferragamo@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Galaxy cluster mass bias from projected mass maps
ASTRONOMY & ASTROPHYSICS
2024
The hydrostatic-to-lensing mass bias from resolved X-ray and optical-IR data
ASTRONOMY & ASTROPHYSICS
2024
The three hundred project: mapping the matter distribution in galaxy clusters via deep learning from multiview simulated observations
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
2024
Impact of filaments on galaxy cluster properties in The Three Hundred simulation
EPJ WEB OF CONFERENCES
2024
The three hundred. Contrasting cluster galaxy density in hydrodynamical and dark matter simulations
ASTRONOMY & ASTROPHYSICS
2024
A Machine Learning method to infer clusters of galaxies mass radial profiles from mock Sunyaev-Zel'dovich maps with THE THREE HUNDRED clusters
EPJ WEB OF CONFERENCES
2024
Generating galaxy clusters mass density maps from mock multiview images via deep learning
EPJ WEB OF CONFERENCES
2024
Towards the first mean pressure profile estimate with the NIKA2 Sunyaev-Zeldovich Large Program
EPJ WEB OF CONFERENCES
2024
Impact of filaments on galaxy cluster properties in THE THREE HUNDRED simulation
EPJ WEB OF CONFERENCES
2024
Galaxy clusters morphology with Zernike polynomials: the first application on Planck Compton parameter maps
EPJ WEB OF CONFERENCES
2024
3D scaling laws and projection effects in The300-NIKA2 Sunyaev-Zeldovich Large Program Twin Samples
EPJ WEB OF CONFERENCES
2024
THE THREE HUNDRED project: Contrasting clusters optical and IR properties in hydrodynamical and dark matter only simulations
EPJ WEB OF CONFERENCES
2024
The NIKA2 Sunyaev-Zeldovich Large Program Sample and upcoming product public release
EPJ WEB OF CONFERENCES
2024
Estimation of the hydrostatic-to-lensing mass bias from resolved cluster masses
EPJ WEB OF CONFERENCES
2024
THE THREE HUNDRED project: Estimating the dependence of gas filaments on the mass of galaxy clusters
ASTRONOMY & ASTROPHYSICS
2024
The three hundred project. A machine learning method to infer clusters of galaxy mass radial profiles from mock Sunyaev–Zel’dovich maps
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
2023
Multi-probe analysis of the galaxy cluster CL J1226.9+3332: Hydrostatic mass and hydrostatic-To-lensing bias
ASTRONOMY & ASTROPHYSICS
2023
CHEX-MATE: Constraining the origin of the scatter in galaxy cluster radial X-ray surface brightness profiles
ASTRONOMY & ASTROPHYSICS
2023
CHEX-MATE: A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles
ASTRONOMY & ASTROPHYSICS
2023
PSZ2 G091: A massive double cluster at z ~ 0.822 observed by the NIKA2 camera
EPJ WEB OF CONFERENCES
2022
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