%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 }