English

Sensitivity tests of cosmic velocity fields to massive neutrinos

Cosmology and Nongalactic Astrophysics 2022-03-08 v2

Abstract

We investigate impacts of massive neutrinos on the cosmic velocity fields, employing high-resolution cosmological NN-body simulations provided by the information-optimized CUBE code, where cosmic neutrinos are evolved using collisionless hydrodynamics and their perturbations can be accurately resolved. In this study we focus, for the first time, on the analysis of massive-neutrino induced suppression effects in various cosmic velocity field components of velocity magnitude, divergence, vorticity and dispersion. By varying the neutrino mass sum MνM_\nu from 0 -- 0.4 eV, the simulations show that, the power spectra of vorticity -- exclusively sourced by non-linear structure formation that is affected by massive neutrinos significantly -- is very sensitive to the mass sum, which potentially provide novel signatures in detecting massive neutrinos. Furthermore, using the chi-square statistic, we quantitatively test the sensitivity of the density and velocity power spectra to the neutrino mass sum. Indeed, we find that, the vorticity spectrum has the highest sensitivity, and the null hypothesis of massless neutrinos is incompatible with both vorticity and divergence spectra from Mν=0.1M_\nu=0.1 eV at high significance (pp-value =0.03= 0.03 and 0.070.07, respectively). These results demonstrate clearly the importance of peculiar velocity field measurements, in particular of vorticity and divergence components, in determination of neutrino mass and mass hierarchy.

Keywords

Cite

@article{arxiv.2108.12568,
  title  = {Sensitivity tests of cosmic velocity fields to massive neutrinos},
  author = {Shuren Zhou and Zhenjie Liu and Qinglin Ma and Yu Liu and Le Zhang and Xiao-Dong Li and Yang Wang and Xin Wang and Yu Yu and Hao-Ran Yu and Yi Zheng},
  journal= {arXiv preprint arXiv:2108.12568},
  year   = {2022}
}

Comments

13 pages, 9 figures. Monthly Notices of the Royal Astronomical Society, 2022