From the 1 of 7 linked papers with an AI index.
7 papers
Mitigating galaxy systematics with gravitational wave clustering
Caterina Scarpel, Nicola Bellomo, Sarah Libanore +2
The paper demonstrates that clustering of gravitational‑wave events can be used as a complementary tracer to galaxies, reducing systematic errors and improving constraints on local…
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…
Field-Level Inference of Primordial Non-Gaussianity with the Quijote Simulation Suite
Adam Andrews, Jens Jasche, Guilhem Lavaux +10
Local primordial non-Gaussianity, parameterised as , will be stringently constrained using state-of-the-art methods applied to next-generation galaxy redshi…
The constraining power of the Marked Power Spectrum: an analytical study
Marco Marinucci, Gabriel Jung, Michele Liguori +8
The marked power spectrum - a two-point correlation function of a transformed density field - has emerged as a promising tool for extracting cosmological information from the large…