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_nu 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_8) 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.
%0 Generic
%1 liu2017massivenus
%A Liu, Jia
%A Bird, Simeon
%A Matilla, José Manuel Zorrilla
%A Hill, J. Colin
%A Haiman, Zoltán
%A Madhavacheril, Mathew S.
%A Petri, Andrea
%A Spergel, David N.
%D 2017
%K neutrino simulations
%T MassiveNuS: Cosmological Massive Neutrino Simulations
%U http://arxiv.org/abs/1711.10524
%X 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_nu 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_8) 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.
@misc{liu2017massivenus,
abstract = {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_nu 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_8) 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.},
added-at = {2017-11-30T14:47:15.000+0100},
author = {Liu, Jia and Bird, Simeon and Matilla, José Manuel Zorrilla and Hill, J. Colin and Haiman, Zoltán and Madhavacheril, Mathew S. and Petri, Andrea and Spergel, David N.},
biburl = {https://www.bibsonomy.org/bibtex/2d01ce8a3ae9d2b69bbe319d5e738e927/miki},
description = {[1711.10524] MassiveNuS: Cosmological Massive Neutrino Simulations},
interhash = {f67bb7c30dec42f2472ca55298b23dd2},
intrahash = {d01ce8a3ae9d2b69bbe319d5e738e927},
keywords = {neutrino simulations},
note = {cite arxiv:1711.10524Comment: 25 pages, 9 figures, submitted to JCAP. Data available at http://columbialensing.org},
timestamp = {2017-11-30T14:47:15.000+0100},
title = {MassiveNuS: Cosmological Massive Neutrino Simulations},
url = {http://arxiv.org/abs/1711.10524},
year = 2017
}