%0 Generic %1 zennaro2019massive %A Zennaro, Matteo %A Angulo, Raúl E. %A Aricò, Giovanni %A Contreras, Sergio %A Pellejero-Ibáñez, Marcos %D 2019 %K library %T How to add massive neutrinos to your $Łambda$CDM simulation - extending cosmology rescaling algorithms %U http://arxiv.org/abs/1905.08696 %X Providing accurate predictions for the spatial distribution of matter and luminous tracers in the presence of massive neutrinos is an important task, given the imminent arrival of highly accurate large-scale structure observations. In this work, we address this challenge by extending cosmology-rescaling algorithms to massive neutrino cosmologies. In this way, a $Łambda$CDM simulation can be modified to provide nonlinear structure formation predictions in the presence a hot component of arbitrary mass, and, if desired, to include non-gravitational modifications to the clustering of matter on large scales. We test the accuracy of the method by comparing its predictions to a suite of simulations carried out explicitly including a neutrino component in its evolution equations. We find that, for neutrino masses in the range $M_0.06, 0.2 ~ eV$ the matter power spectrum is recovered to better than $1\%$ on all scales $k<1~h~Mpc^-1$, and at $2\%$ level at $k=1~h~Mpc^-1$ for $M_= 0.3 ~ eV$. Similarly, the halo mass function is predicted at a few percent level over the range $M_halo 10^12, 10^15 ~ h^-1 ~ M_ødot$, and so do also the multipoles of the galaxy 2-point correlation function in redshift space over $r 0.1, 200 ~ h^-1 ~ Mpc$. We provide parametric forms for the necessary transformations, as a function of $Ømega_m$ and $Ømega_\nu$ for various target redshifts.

@misc{zennaro2019massive, abstract = {Providing accurate predictions for the spatial distribution of matter and luminous tracers in the presence of massive neutrinos is an important task, given the imminent arrival of highly accurate large-scale structure observations. In this work, we address this challenge by extending cosmology-rescaling algorithms to massive neutrino cosmologies. In this way, a $\Lambda$CDM simulation can be modified to provide nonlinear structure formation predictions in the presence a hot component of arbitrary mass, and, if desired, to include non-gravitational modifications to the clustering of matter on large scales. We test the accuracy of the method by comparing its predictions to a suite of simulations carried out explicitly including a neutrino component in its evolution equations. We find that, for neutrino masses in the range $M_\nu \in [0.06, 0.2] ~ \mathrm{eV}$ the matter power spectrum is recovered to better than $1\%$ on all scales $k<1~h~\mathrm{Mpc}^{-1}$, and at $2\%$ level at $k=1~h~\mathrm{Mpc}^{-1}$ for $M_\nu = 0.3 ~ \mathrm{eV}$. Similarly, the halo mass function is predicted at a few percent level over the range $M_{\rm halo} \in [10^{12}, 10^{15}] ~ h^{-1} ~ \mathrm{M}_{\odot}$, and so do also the multipoles of the galaxy 2-point correlation function in redshift space over $r \in [0.1, 200] ~ h^{-1} ~ \mathrm{Mpc}$. We provide parametric forms for the necessary transformations, as a function of $\Omega_{\rm m}$ and $\Omega_{\nu}$ for various target redshifts.}, added-at = {2019-05-22T04:41:08.000+0200}, author = {Zennaro, Matteo and Angulo, Raúl E. and Aricò, Giovanni and Contreras, Sergio and Pellejero-Ibáñez, Marcos}, biburl = {https://www.bibsonomy.org/bibtex/2fc517c28400e10ed2fcfda66484defef/gpkulkarni}, description = {How to add massive neutrinos to your $\Lambda$CDM simulation - extending cosmology rescaling algorithms}, interhash = {832df87fc4357123e993c41c799a937a}, intrahash = {fc517c28400e10ed2fcfda66484defef}, keywords = {library}, note = {cite arxiv:1905.08696Comment: 15 pages, 11 figures}, timestamp = {2019-05-22T04:41:08.000+0200}, title = {How to add massive neutrinos to your $\Lambda$CDM simulation - extending cosmology rescaling algorithms}, url = {http://arxiv.org/abs/1905.08696}, year = 2019 }