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UNIT project: Universe $N$-body simulations for the Investigation of Theoretical models from galaxy surveys

Authors :
Arka Banerjee
Cheng Zhao
Risa H. Wechsler
R. B. Metcalf
Carlo Giocoli
Alexander Knebe
Sergio Rodríguez-Torres
Chia-Hsun Chuang
Chun-Hao To
Marcos Pellejero-Ibanez
Guillermo Reyes
Yu Feng
Joseph DeRose
Gustavo Yepes
Shadab Alam
Francisco-Shu Kitaura
Chuang, Chia-Hsun
Yepes, Gustavo
Kitaura, Francisco-Shu
Pellejero-Ibanez, Marco
Rodríguez-Torres, Sergio
Feng, Yu
Metcalf, R Benton
Wechsler, Risa H
Zhao, Cheng
To, Chun-Hao
Alam, Shadab
Banerjee, Arka
DeRose, Joseph
Giocoli, Carlo
Knebe, Alexander
Reyes, Guillermo
Source :
Monthly Notices of the Royal Astronomical Society
Publication Year :
2018

Abstract

We present the UNIT $N$-body cosmological simulations project, designed to provide precise predictions for nonlinear statistics of the galaxy distribution. We focus on characterizing statistics relevant to emission line and luminous red galaxies in the current and upcoming generation of galaxy surveys. We use a suite of precise particle mesh simulations (FastPM) as well as with full $N$-body calculations with a mass resolution of $\sim 1.2\times10^9\,h^{-1}$M$_{\odot}$ to investigate the recently suggested technique of Angulo & Pontzen 2016 to suppress the variance of cosmological simulations We study redshift space distortions, cosmic voids, higher order statistics from $z=2$ down to $z=0$. We find that both two- and three-point statistics are unbiased. Over the scales of interest for baryon acoustic oscillations and redshift-space distortions, we find that the variance is greatly reduced in the two-point statistics and in the cross correlation between halos and cosmic voids, but is not reduced significantly for the three-point statistics. We demonstrate that the accuracy of the two-point correlation function for a galaxy survey with effective volume of 20 ($h^{-1}$Gpc)$^3$ is improved by about a factor of 40, indicating that two pairs of simulations with a volume of 1 ($h^{-1}$Gpc)$^3$ lead to the equivalent variance of $\sim$150 such simulations. The $N$-body simulations presented here thus provide an effective survey volume of about seven times the effective survey volume of DESI or Euclid. The data from this project, including dark matter fields, halo catalogues, and their clustering statistics, are publicly available at http://www.unitsims.org.<br />12 pages, 9 figures. This version matches the one accepted by MNRAS. The data from this project are publicly available at: http://www.unitsims.org

Details

Language :
English
Database :
OpenAIRE
Journal :
Monthly Notices of the Royal Astronomical Society
Accession number :
edsair.doi.dedup.....80cbcebf676e9f46fd62217f69c672c3