DEMNUni: massive neutrinos and the bispectrum of large scale structures

Rossana Ruggeri, Emanuele Castorina, Carmelita Carbone, Emiliano Sefusatti

Research output: Contribution to journalArticlepeer-review

54 Downloads (Pure)

Abstract

The main effect of massive neutrinos on the large-scale structure consists in a few percent suppression of matter perturbations on all scales below their free-streaming scale. Such effect is of particular importance as it allows to constraint the value of the sum of neutrino masses from measurements of the galaxy power spectrum. In this work, we present the first measurements of the next higher-order correlation function, the bispectrum, from N-body simulations that include massive neutrinos as particles. This is the simplest statistics characterising the non-Gaussian properties of the matter and dark matter halos distributions. We investigate, in the first place, the suppression due to massive neutrinos on the matter bispectrum, comparing our measurements with the simplest perturbation theory predictions, finding the approximation of neutrinos contributing at quadratic order in perturbation theory to provide a good fit to the measurements in the simulations. On the other hand, as expected, a linear approximation for neutrino perturbations would lead to Script O(fν) errors on the total matter bispectrum at large scales. We then attempt an extension of previous results on the universality of linear halo bias in neutrino cosmologies, to non-linear and non-local corrections finding consistent results with the power spectrum analysis.
Original languageEnglish
Article number003
Number of pages27
JournalJournal of Cosmology and Astroparticle Physics
Volume2018
Issue number03
Early online date5 Mar 2018
DOIs
Publication statusEarly online - 5 Mar 2018

Keywords

  • cosmological neutrinos
  • cosmological perturbation theory
  • cosmological simulations
  • neutrino masses from cosmology

Fingerprint

Dive into the research topics of 'DEMNUni: massive neutrinos and the bispectrum of large scale structures'. Together they form a unique fingerprint.

Cite this