299 citations · 310 across the 5 of their papers we have counts for
6 papers · 1 filter
CosmoForge II. An exact treatment of arbitrary linear filters in quadratic maximum-likelihood power spectrum estimation
Giacomo Galloni
Ground-based cosmic microwave background (CMB) experiments filter their time-ordered data to remove noise and ground pickup, which removes or mixes the large angular scales w…
CosmoForge I: A unified framework for QML power spectrum estimation and pixel-based likelihood analysis
Giacomo Galloni, Luca Pagano
Optimal power spectrum estimation on the largest angular scales of the cosmic microwave background relies on the Quadratic Maximum Likelihood (QML) estimator. Existing public imple…
The first data-driven bounds on the quantum decoherence of inflationary gravitational waves
Jessie de Kruijf, Giacomo Galloni, Nicola Bartolo
The (large-scale) structures we observe in the Universe are classical, but within the inflationary scenario they do originate from quantum fluctuations. This leads to the question:…
Accurate and efficient likelihood modeling for large-scale CMB data
Giacomo Galloni, Paolo Campeti, Luca Pagano +3
Accurate parameter estimation from cosmic microwave background data requires reliable likelihood modeling, particularly at large angular scales where angular power spectrum estimat…
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
Eleonora Di Valentino, Jackson Levi Said, Adam Riess +533
The standard model of cosmology has provided a good phenomenological description of a wide range of observations both at astrophysical and cosmological scales for several decades.…
Robust constraints on tensor perturbations from cosmological data: a comparative analysis from Bayesian and frequentist perspectives
Giacomo Galloni, Sophie Henrot-Versillé, Matthieu Tristram
We analyze primordial tensor perturbations using the latest cosmic microwave background and gravitational waves data, focusing on the tensor-to-scalar ratio, , and the tensor sp…