Predicting the spatial distribution of objects as a function of cosmology is
an essential ingredient for the exploitation of future galaxy surveys. In this
paper we show that a specially-designed suite of gravity-only simulations
together with cosmology-rescaling algorithms can provide the clustering of dark
matter, haloes, and subhaloes with high precision. Specifically, with only 3
$N$-body simulations we obtain the power spectrum of dark matter at $z=0$ and
$z=1$ to better than 3\% precision for essentially all currently viable values
of 8 cosmological parameters, including massive neutrinos and dynamical dark
energy, and over the whole range of scales explored, 0.03 < $k/h^-1Mpc$ < 5.
This precision holds at the same level for mass-selected haloes and for
subhaloes selected according to their peak maximum circular velocity. As an
initial application of these predictions, we successfully constrain
$Ømega_m$, $\sigma_8$, and the scatter in subhalo-abundance-matching
employing the projected correlation function of mock SDSS galaxies.
%0 Generic
%1 contreras20203accurate
%A Contreras, S.
%A Zennaro, R. E. Angulo M.
%A Aricó, G.
%A Pellejero-Ibañez, M.
%D 2020
%K library
%T 3\%-accurate predictions for the clustering of dark matter, haloes and
subhaloes, over a wide range of cosmologies and scales
%U http://arxiv.org/abs/2001.03176
%X Predicting the spatial distribution of objects as a function of cosmology is
an essential ingredient for the exploitation of future galaxy surveys. In this
paper we show that a specially-designed suite of gravity-only simulations
together with cosmology-rescaling algorithms can provide the clustering of dark
matter, haloes, and subhaloes with high precision. Specifically, with only 3
$N$-body simulations we obtain the power spectrum of dark matter at $z=0$ and
$z=1$ to better than 3\% precision for essentially all currently viable values
of 8 cosmological parameters, including massive neutrinos and dynamical dark
energy, and over the whole range of scales explored, 0.03 < $k/h^-1Mpc$ < 5.
This precision holds at the same level for mass-selected haloes and for
subhaloes selected according to their peak maximum circular velocity. As an
initial application of these predictions, we successfully constrain
$Ømega_m$, $\sigma_8$, and the scatter in subhalo-abundance-matching
employing the projected correlation function of mock SDSS galaxies.
@misc{contreras20203accurate,
abstract = {Predicting the spatial distribution of objects as a function of cosmology is
an essential ingredient for the exploitation of future galaxy surveys. In this
paper we show that a specially-designed suite of gravity-only simulations
together with cosmology-rescaling algorithms can provide the clustering of dark
matter, haloes, and subhaloes with high precision. Specifically, with only 3
$N$-body simulations we obtain the power spectrum of dark matter at $z=0$ and
$z=1$ to better than 3\% precision for essentially all currently viable values
of 8 cosmological parameters, including massive neutrinos and dynamical dark
energy, and over the whole range of scales explored, 0.03 < $k/h^{-1}Mpc$ < 5.
This precision holds at the same level for mass-selected haloes and for
subhaloes selected according to their peak maximum circular velocity. As an
initial application of these predictions, we successfully constrain
$\Omega_{\rm m}$, $\sigma_8$, and the scatter in subhalo-abundance-matching
employing the projected correlation function of mock SDSS galaxies.},
added-at = {2020-01-13T07:02:19.000+0100},
author = {Contreras, S. and Zennaro, R. E. Angulo M. and Aricó, G. and Pellejero-Ibañez, M.},
biburl = {https://www.bibsonomy.org/bibtex/213bc4d1421c7c180d12fcc040b399870/gpkulkarni},
interhash = {c7c16d448d0475c157362308644e12e4},
intrahash = {13bc4d1421c7c180d12fcc040b399870},
keywords = {library},
note = {cite arxiv:2001.03176Comment: 12 pages, 8 figures. Submitted. Comments are welcome},
timestamp = {2020-01-13T07:02:19.000+0100},
title = {3\%-accurate predictions for the clustering of dark matter, haloes and
subhaloes, over a wide range of cosmologies and scales},
url = {http://arxiv.org/abs/2001.03176},
year = 2020
}