Systematic search for lensed X-ray sources in the CLASH fields

no code implementations • 11 Feb 2021 • Ang Liu, Paolo Tozzi, Piero Rosati, Pietro Bergamini, Gabriel Bartosch Caminha, Roberto Gilli, Claudio Grillo, Massimo Meneghetti, Amata Mercurio, Mario Nonino, Eros Vanzella

We search for X-ray emission from strongly lensed sources identified in the optical, and perform an untargeted detection of lensed X-ray sources.

Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics

On the dissection of degenerate cosmologies with machine learning

no code implementations • 25 Oct 2018 • Julian Merten, Carlo Giocoli, Marco Baldi, Massimo Meneghetti, Austin Peel, Florian Lalande, Jean-Luc Starck, Valeria Pettorino

Based on the DUSTGRAIN-pathfinder suite of simulations, we investigate observational degeneracies between nine models of modified gravity and massive neutrinos.

BIG-bench Machine Learning General Classification +2

Distinguishing standard and modified gravity cosmologies with machine learning

no code implementations • 25 Oct 2018 • Austin Peel, Florian Lalande, Jean-Luc Starck, Valeria Pettorino, Julian Merten, Carlo Giocoli, Massimo Meneghetti, Marco Baldi

We present a convolutional neural network to identify distinct cosmological scenarios based on the weak-lensing maps they produce.

Cosmology and Nongalactic Astrophysics

Numerical study of halo concentrations in dark-energy cosmologies

no code implementations • 29 Sep 2003 • Klaus Dolag, Matthias Bartelmann, Francesca Perrotta, Carlo Baccigalupi, Lauro Moscardini, Massimo Meneghetti, Giuseppe Tormen

We study the concentration parameters, their mass dependence and redshift evolution, of dark-matter halos in different dark-energy cosmologies with constant and time-variable equation of state, and compare them with "standard'' Lambda-CDM and OCDM models.