From the 2 of 9 linked papers with an AI index.
1 citations · 1 across the 6 of their papers we have counts for
9 papers
Bias from small-scale leakage in Pulsar Timing Array maps
Federico Semenzato, Nicola Bellomo, Alvise Raccanelli +1
The paper identifies and analytically quantifies a systematic bias called “small‑scale leakage” that arises when pulsar timing array analyses reconstruct only large‑scale anisotrop…
Cross-Correlating the Universe: The Gravitational Wave Background and Large-Scale Structure
Federico Semenzato, J. Andrew Casey-Clyde, Chiara M. F. Mingarelli +4
The paper proposes using cross‑correlations between gravitational‑wave background anisotropy maps and galaxy surveys to detect the imprint of unresolved supermassive black‑hole bin…
Exploring Gravitational Wave Signatures Due to Primordial Non-gaussianity and Large Scale Structure Using SKAO
H. V. Ragavendra, Giulia Capurri, Alina Mierna +8
This chapter explores theoretical and observational strategies to use the stochastic gravitational-wave background detectable by Square Kilometre Array Observatory (SKAO) as a prob…
Using SKAO to Understand the Clustering of Gravitational Wave Sources
Michele Bosi, Sarah Libanore, Nicola Bellomo +4
Coalescing Binary Black Holes (BBHs) trace the Large-Scale Structure (LSS) of the Universe, and their clustering properties can be extracted from Gravitational Wave (GW) data. Next…
Optimal marked statistics from the Effective Field Theory of Large Scale Structure
Marco Marinucci, Michele Liguori, Federico Semenzato +1
We present a simple and robust framework to assess the information content of the power spectrum of a marked density field within the Effective Field Theory of Large Scale Structur…
Interpretable Neural Marked Statistics for Cosmological Inference
Federico Semenzato, Benjamin D. Wandelt, Michele Liguori +1
Recovering cosmological information beyond the power spectrum is a central goal for upcoming cosmological surveys, since late-time non-Gaussian signal in the matter density cannot…