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180 papers
Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity
Gabriel Jung, Andrea Ravenni, Michele Liguori +4
We apply a suite of different estimators to the Quijote-PNG halo catalogues to find the best approach to constrain Primordial non-Gaussianity (PNG) at non-linear cosmological scale…
Taming assembly bias for primordial non-Gaussianity
Emanuele Fondi, Licia Verde, Francisco Villaescusa-Navarro +7
Primordial non-Gaussianity of the local type induces a strong scale-dependent bias on the clustering of halos in the late-time Universe. This signature is particularly promising to…
Signatures of primordial black holes in gravitational wave clustering
Sarah Libanore, Michele Liguori, Alvise Raccanelli
The possible existence of primordial black holes (PBHs) is an open question in modern cosmology. Among the probes to test it, gravitational waves (GW) coming from their mergers con…
Clustering of binary black hole mergers: a detailed analysis of the EAGLE+MOBSE simulation
Matteo Peron, Sarah Libanore, Andrea Ravenni +2
We perform a detailed study of the cosmological bias of gravitational gave (GW) events produced by binary black hole mergers (BBHM). We start from a BBHM distribution modeled insid…
Quijote-PNG: The Information Content of the Halo Mass Function
Gabriel Jung, Andrea Ravenni, Marco Baldi +8
We study signatures of primordial non-Gaussianity (PNG) in the redshift-space halo field on non-linear scales, using a combination of three summary statistics, namely the halo mass…
Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear halo density field
Gabriel Jung, Dionysios Karagiannis, Michele Liguori +6
We study primordial non-Gaussian signatures in the redshift-space halo field on non-linear scales, using a quasi-maximum likelihood estimator based on optimally compressed power sp…