activity
20072026
most citedThe Science of the Einstein Telescope

97 citations · 111 across the 12 of their papers we have counts for

collaborators

13 papers

gr-qc2026

Sachs-Wolfe effect as a smoking gun for cosmological gravitational wave backgrounds

Giorgio Mentasti, Leon Vidal, Quentin Baghi +1

The Sachs-Wolfe (SW) effect, arising from large-scale structures in the universe, modifies the frequencies of gravitational waves (GWs) sourced by a cosmological background. We sho…

gr-qc2025

Cross-correlating Astrometric and Timing Residuals to Constrain Stochastic Gravitational-Wave Backgrounds

Elias Fink, Carlo Contaldi, Giorgio Mentasti

We investigate the cross-correlation between astrometric and timing-residual observables for distant sources, such as pulsars and galaxies, and equivalent observables for nearby so…

gr-qc2025

Searching for Gravitational Waves with Gaia and its Cross-Correlation with PTA: Absolute vs Relative Astrometry

Massimo Vaglio, Mikel Falxa, Giorgio Mentasti +5

Astrometric missions like Gaia provide exceptionally precise measurements of stellar positions and proper motions. Gravitational waves traveling between the observer and distant st…

astro-ph.CO2025

A unified spin-harmonic framework for correlating pulsar timing, astrometric deflection, and shimmering gravitational wave observations

Giorgio Mentasti, Carlo R. Contaldi

We present a unified spin-weighted harmonic framework that delivers analytic, diagonal expressions for the overlap (correlation) functions of three low frequency gravitational wave…

astro-ph.CO2025

Strong scale-dependence does not enhance the kinematic boosting of gravitational wave backgrounds

Giorgio Mentasti, Carlo R. Contaldi, Marco Peloso

Existing expressions in the literature appear to indicate that Doppler boosting, due to our proper motion with respect to the isotropic frame of the universe, can amplify stochasti…

astro-ph.IM2025

Simulation-based inference with deep ensembles: Evaluating calibration uncertainty and detecting model misspecification

James Alvey, Carlo R. Contaldi, Mauro Pieroni

Simulation-Based Inference (SBI) offers a principled and flexible framework for conducting Bayesian inference in any situation where forward simulations are feasible. However, vali…