299 citations · 453 across the 9 of their papers we have counts for
9 papers
Alleviating prior dependencies for DESI DR1 clustering fits through reparameterization
Marco Bonici, Simone Paradiso, Glenn McGee +48
Bayesian analyses of the full-shape clustering of Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1) exhibit prior-volume projection effects, whereby weakly constrain…
Planck constraints on the scale dependence of isotropic cosmic birefringence
M. Ballardini, A. Gruppuso, S. Paradiso +2
The rotation of the linear polarisation plane of photons during propagation, also known as cosmic birefringence, is a powerful probe of parity-violating extensions of standard elec…
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.…
Reducing nuisance prior sensitivity via non-linear reparameterization, with application to EFT analyses of large-scale structure
S. Paradiso, M. Bonici, M. Chen +4
Many physical models contain nuisance parameters that quantify unknown properties of an experiment that are not of primary relevance. Typically, these cannot be measured except by…
HOD-informed prior for EFT-based full-shape analyses of LSS
Hanyu Zhang, Marco Bonici, Guido D'Amico +2
To improve the performance of full-shape analyses of large-scale structure, we consider using a halo occupation distribution (HOD)-informed prior for the effective field theory (EF…
Cosmological measurements from the CMB and BAO are insensitive to the tail probability in the assumed likelihood
Jordan Krywonos, Simone Paradiso, Alex Krolewski +2
When fitting cosmological models to data, a Bayesian framework is commonly used, requiring assumptions on the form of the likelihood and model prior. In light of current tensions b…
Evaluating extensions to LCDM: an application of Bayesian model averaging and selection
S. Paradiso, G. McGee, W. J. Percival
We employ Bayesian Model Averaging (BMA) as a powerful statistical framework to address key cosmological questions about the universe's fundamental properties. We explore extension…
A convenient approach to characterizing model uncertainty with application to early dark energy solutions of the Hubble tension
S. Paradiso, M. DiMarco, M. Chen +2
Despite increasingly precise observations and sophisticated theoretical models, the discrepancy between measurements of H0 from the cosmic microwave background or from Baryon Acous…
Exploring Cosmic Origins with CORE: Cosmological Parameters
Eleonora Di Valentino, Thejs Brinckmann, Martina Gerbino +125
We forecast the main cosmological parameter constraints achievable with the CORE space mission which is dedicated to mapping the polarisation of the Cosmic Microwave Background (CM…