MassiveNuS: cosmological massive neutrino simulations

作者：Liu Jia^*; Bird Simeon; Matilla Jose Manuel Zorrilla; Hill J Colin; Haiman Zoltan; Madhavacheril Mathew S; Petri Andrea; Spergel David N

来源：Journal of Cosmology and Astroparticle Physics, 2018, 2018(3): 049.

DOI：10.1088/1475-7516/2018/03/049

• cosmological parameters from LSS
• cosmological simulations
• neutrino masses from cosmology

The non-zero mass of neutrinos suppresses the growth of cosmic structure on small scales. Since the level of suppression depends on the sum of the masses of the three active neutrino species, the evolution of large-scale structure is a promising tool to constrain the total mass of neutrinos and possibly shed light on the mass hierarchy. In this work, we investigate these effects via a large suite of N-body simulations that include massive neutrinos using an analytic linear-response approximation: the Cosmological Massive Neutrino Simulations (MassiveNuS). The simulations include the effects of radiation on the background expansion, as well as the clustering of neutrinos in response to the nonlinear dark matter evolution. We allow three cosmological parameters to vary: the neutrino mass sum M-v in the range of 0-0.6 eV, the total matter density Omega(m), and the primordial power spectrum amplitude A(s). The rms density fluctuation in spheres of 8 comoving Mpc/h (sigma(s)) is a derived parameter as a result. Our data products include N-body snapshots, halo catalogues, merger trees, ray-traced galaxy lensing convergence maps for four source redshift planes between z(s) =1-2.5, and ray-traced cosmic microwave background lensing convergence maps. We describe the simulation procedures and code validation in this paper. The data are publicly available at http://columbialensing.org.

• 出版日期2018-3